Bibliometric Software

Tools and Software

General network and graph analysis and visualization  

  • You might find this Wikipedia list of social network analysis software useful. 
  • AGNA. free Java-based software for SNA, sociometry and sequential analysis. Its name stands for Applied Graph and Network Analysis.
  • CFinder. A is a free software for finding and visualizing overlapping dense groups of nodes in networks, based on the Clique Percolation Method (CPM). 
  • Cytoscape. A free Java-based open-source software that although originally designed for bioinformatics research, now it is a general platform for complex network analysis and visualization. Cytoscape core distribution provides a basic set of features for data integration and visualization. Additional features are available as plugins.
  • GeoVIZ. A free toolkit for systematic analysis of spatial, temporal, and attribute data sets. It allows analysts to discover previously hidden patterns in data, moving from spatial patterns to statistical patterns and back again by mixing and matching data visualization components to quickly construct custom analysis tools. It provides a large selection of mapping and statistical graphing components for depicting univariate and multivariate data in dynamically linked views.
  • Gephi. A free open-source interactive visualization and exploration platform for all kinds of networks and complex systems, dynamic and hierarchical graphs.
  • Graphviz. A free open-source graph visualization software. Its main applications are networking, bioinformatics,  software engineering, database and web design, machine learning, and in visual interfaces for other technical domains. It takes descriptions of graphs in a simple text language, and make diagrams in useful formats, such as images and SVG for web pages, PDF or Postscript for inclusion in other documents; or display in an interactive graph browser.
  • GUESS. An free exploratory data analysis and visualization tool for graphs and networks. It can import standard formats (Pajek, GML) and export a wide variety of image types (GIF, PNG, EPS, PDF, JPG, SVG...). Because it is Jython/Java-based, users can also construct your own applications and applets without much coding.
  • igraph. A free software package for creating and manipulating undirected and directed graphs. It includes implementations for classic graph theory and also implements algorithms for some recent network analysis methods, like community structure search.
  • KeyPlayer. A free software  for identifying an optimal set of nodes in a network for one of two basic purposes: (a) crippling the network by removing key nodes, and (b) selecting which nodes to either keep under surveillance or to try to influence via some kind of intervention. Written by Steve Borgatti.
  • InFlow. commercial software for Social Network Analysis & Organizational Network Analysis.
  • MapEquation. Free algorithm and software for detecting communities in large networks.
  • Multinet. A free data analysis package that can be used for ordinary data (in which you have a file that has one line of data for each case) and for network data (in which there are two files -- the "node" file describes the individuals and the "link" file describes the connections between individuals). [It hasn't been updated for a long time].
  • NetDraw. A free program written by Steve Borgatti for visualizing both 1-mode and 2-mode social network data. It can read UCINET system files, UCINET DL files, Pajek files, and its own VNA format. It exports networks as a metafile, jpg, gif and bitmap formats.
  • NetMiner. A commercial software tool for exploratory analysis and visualization of Network Data. It has 73 kinds of SNA modules and 23 kinds of visualization modules.
  • NetworkX. A  free Python-based open-source software for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks. 
  • NodeXL. A free, open-source template for MS Excel to draw graphs and networks. Networks can be imported from and exported to a variety of file formats (e.g. GraphML, UCINet, Pajek, and matrix), and built-in connections for getting networks from Twitter, Flickr, YouTube, and your local email are provided. You can learn how to use it by reading the book by Hansen et al. (2010).
  • Pajek. A free Python-based open-source software for large networks analysis of visualization. It is probably the most popular network analysis software and largely used by experts in scientometrics. You can learn how to use it by reading the book by de Nooy et al. (2011).
  • prefuse. A free Java-based set of software tools for creating rich interactive data visualizations. Some of its features are Table, Graph, and Tree data structures supporting arbitrary data attributes, data indexing, and selection queries, and animation support.
  • Smart Local Moving (SLM) algorithm: A free Java-based open-source algorithm (implemented in Modularity Optimizer) for community detection (or clustering) in large networks. It maximizes a so-called modularity function and it has been successfully applied to networks with tens of millions of nodes and hundreds of millions of edges. You can read its paper here.
  • SNA package for R. A free range of tools for social network analysis with R, including node and graph-level indices, structural distance and covariance methods, structural equivalence detection, network regression, random graph generation, and 2D/3D network visualization.
  • SoNIA. or Social Network Image Animator is a free open-source Java-based package for visualizing dynamic or longitudinal network data.
  • StOCNET. free open-source software for advanced statistical analysis (based on probability model) of social networks.
  • Tulip. A free information visualization framework written by C++ dedicated to the analysis and visualization of relational data.
  • UCINet. A commercial social network analysis program developed by Steve Borgatti and colleagues and distributed by Analytic Technologies. UCINET works in tandem with freeware program called NetDraw for visualizing networks. NetDraw is installed automatically with UCINet.
  • Visone. free software for analysis and visualization of social network data.

 Scientometric and bibliometric analysis 

  • You might also find this Wikipedia comparison of research networking tools and research profiling systems useful.  
  • Bibexcel. Free software designed by Olle Persson to assist a user in analyzing bibliographic data, or any data of a textual nature formatted in a similar manner. The idea is to generate data files that can be imported to Excel or any program that takes tabbed data records, for further processing. It can be used for co-citation, bibliographic coupling, mapping and clustering analysis.
  • Bibliometrix R package. A free tool that provides various routines for importing bibliographic data from SCOPUS and Clarivate Analytics' Web of Science databases, performing bibliometric analysis and building data matrices for co-citation, coupling, scientific collaboration analysis and co-word analysis.
  • BiblioTool. It is a set of python scripts (open source) written by Sebastian Grauwin. They can read ISI data in CSV format and do some analyses including co-occurrence map and bibliographic coupling.
  • CiteSpace. A free Java-based software for visualizing and analyzing trends and patterns in the scientific literature. It is designed as a tool for progressive knowledge domain visualization. Its primary source of input data is ISI WoS. But it also provides some simple interfaces for obtaining data from PubMed, arXiv, ADS, and NSF Award Abstracts. It can be used to generate geographic map overlays viewable in Google Earth based on the locations of authors.
  • CitNetExplorer. A free Java-based software tool developed by Uni of Leiden for visualizing and analyzing citation networks of scientific publications. It allows citation networks to be imported directly from the Web of Science database. Citation networks can be explored interactively, for instance by drilling down into a network and by identifying clusters of closely related publications. 
    •
  • CopalRed. (obsoleted) A free program written by Xavier Polanco for the analysis of scholarly publications and scientometric purposes for example for analysing and visualizing the network structure of a scientific field.
  • CRExplorer. Or Cited Reference Explorer is a free Java-based program that was primarily developed to identify those publications in a field, a topic or by a researcher which have been frequently cited. It is especially suitable to study the historical roots of this field, topic or researcher.
  • InCite Retrieve: a set of Python codes for retrieving journal impact factor values from InCite API.
  • InterDisciplinary Research (IDR). It's a free tool to measure and map interdisciplinary research. It creates overlay maps of science, as a method to explore the degree of interdisciplinarity of a set of publications. 
  • IN-SPIRE. A commercial software for exploring and visualizing textual data, including Boolean and “topical” queries, term gisting, and time/trend analysis tools. It can be used to explore technical and patent literature, marketing and business documents, web data, accident and safety reports, newswire feeds and message traffic, and more.
  • Headstart. A free open-source software to visualize readership data from Mendeley. It presents users with the main areas in the field and lets them zoom into the most important publications within each area. It is intended to give researchers that are new to a field a head start on their literature review (hence the name). It has been developed by P. Kraker.
  • HistCite. (obsoleted) free software developed by E. Garfield to aid researchers in visualizing the results of literature searches in the Web of Science. It lets you analyze and organize the results of a search to obtain various views of the topic's structure, history, and relationships. It visualizes the citation network in a historical manner.
  • Loet Leydesdorff. A set of free DOS-based pieces of software to parse, transform and analyse bibliometrics data obtained from sources such as Scopus, ISI, and Google Scholar for analyses such as coauthorship, international, institutional, inter-city collaboration networks, co-word, co-citation and bibliographic analysis and so on. Although they do not include visualization tools, they prepare the data for the creation of relational databases and visualization by other tools such as Pajek. ISI.exe reads ISI data in txt format and generates files suitable for creating a relational database.
  • Network Workbench. A free Java-based large-scale network analysis, modelling and visualization toolkit for biomedical, social science and physics research. It includes specific features for bibliometric studies.
  • Publish or Perish. A free software program that retrieves and analyzes academic citations Google Scholar and calculates No of papers, citations, average No. of citations per paper and per author and per year as well as h-index, g-index, and some more metrics.
  • SAINT: (obsoleted) (Science Assessment Integrated Network Toolkit). It is open-source software for scientometrics analysis and one of the few packages that can be used to convert ISI data into a relational database (dbm or accdb or sql files). There is a forum to discuss the issues related to SAINT. The software is not available on its original website anymore.
  • ScientoPY, a free open source scientometric software. You can read about it in this paper. 
  • SciMAT. SciMAT (Science Mapping Anaylsis Tool) is a java-based open source (GPLv3) free software tool developed to perform a science mapping analysis under a longitudinal framework. SciMAT reads bibliographic data in different formats and creates a relational database in Sqlite 3 format and allows you to do different analyses. The advantage is that you can amend the data in the knowledgebase as you wish.
  • Sci2 Tool. A free Java-based modular toolset specifically designed for the study of science. It supports the temporal, geospatial, topical, and network analysis and visualization of scholarly datasets at the micro (individual), meso (local), and macro (global) levels. It has several visualization features.
  • Scientometric Project. A set of open-source Python scripts for some scientometric data analyses written by Theresa Velden.
  • Scopus API R code: This is some R code to query Scopus API and parse the results into a data frame. For instance, if you have a list of DOI and want to get citation data for them from Scopus.
  • Pybliometrics: Python-based API-Wrapper to access Scopus: A free Python library to cache and extract data from the Scopus, developed by M. E. Rose and J. R. Kitchin. You can read about it in this paper. 
  • Sitkis: (obsoleted) Sitkis is a free Java-based software tool developed exclusively for bibliometric analysis. Sitkis provides tools for extremely streamlined analysis of bibliometric networks. Read more about it here.
  • VOSviewer. A free Java-based program, primarily intended to be used for analyzing and visualizing bibliometric networks. It can create maps of publications, authors, or journals based on a co-citation network or to construct maps of keywords based on a co-occurrence network.
  • Web of Science API: a set of Python code to retrieve the times cited counts for DOIs and/or PMIDs.
  • Webometric Analyst: a free Windows-based program for altmetrics, citation analysis, social web analysis and webometrics, including link analysis, developed by Prof. Mike Thelwall.
For a list of some of the tools used in scientometrics studies see Borner et al (2010) and for comparison of some of these software packages see Cobo et al. (2011). 

Science Mapping Resources

  • Places & Spaces: Mapping Science. It is a collection of science maps and visualizations. It is exhibited in different places and they can be ordered.
  • Atlas of Science. This is a book by Katy Börner published by MIT press. It includes 500 colour illustrations of different science maps.
  • Excellence Mapping. This web application visualizes the scientific performance of institutions (universities or research-focused institutions) within specific subject areas (e.g. Chemical Engineering) as ranking lists and on maps.

Science Analysis Companies and Services

  • Academic Analytics. It is a provider of high-quality, custom business intelligence data and solutions for research universities in the United States and the United Kingdom. It helps universities identify their strengths and areas where improvements can be made.
  • Clarivate. It publishes Web of Knowledge and Web of Science and it also produces a few science analysis databases such as Journal Citation Reports, Science Watch, and Essential Science Indicators. WoS includes some analysis tools.
  • Elsevier. It is the publisher of Scopus database as well as SciVal which Is a suite of research tools that helps you evaluate, establish and execute your research strategies more effectively. SciVal Spotlight is a unique web-based strategic analysis tool that enables academic executives to make informed strategic decisions by measuring and evaluating an institution's research performance. It evaluates your institution's research output in a single interface. SciVal Funding is a web-based solution that gives research administrators and researchers in the pre-award stage access to current research funding opportunities and award information. It allows you to find the right funding opportunities and analyze the funding environment.
  • SCImago. Is a portal that includes the journals and country scientific indicators developed from the information contained in the Scopus. These indicators can be used to assess and analyze scientific domains.
  • Science Metrix. (now owned by Elsevier) It provides customized services in performance measurement and program evaluation using advanced bibliometric indicators and recognized quantitative and qualitative research methods. In 2010 it published a '30 Years in Science' report.
  • SciTech Strategies Inc. It mainly creates maps of science.

Journals related to Scientometrics


Books on Scientometrics

  1. Anderes, A. (2009). Measuring Academic Research: How to undertake a bibliometric study. Oxford: Chandos.
  2. Biagioli, M., & Lippman, A. (editors) (2020). Gaming the Metrics: Misconduct and Manipulation in Academic Research, Cambridge: MIT Press. 
  3. Borgman, C.L. (1990). Scholarly communication and bibliometrics: Sage Publications.
  4. Borner, K. (2010). Atlas of Science: Visualizing What We Know: MIT Press.
  5. Braam, R.R. (1991). Mapping of science: foci of intellectual interest in scientific literature: DSWO Press, University of Leiden.
  6. Braun, T. (Ed.). (2006). Evaluations of Individual Scientists and Research Institutions. Part I. Scientometrics Guidebooks Series: Akademiai Kiado Zrt.
  7. Braun, T. (Ed.). (2006). Evaluations of Individual Scientists and Research Institutions. Part II. Scientometrics Guidebooks Series: Akademiai Kiado Zrt.
  8. Braun, T. (2007). The Impact Factor of Scientific and Scholarly Journals: Its Use and Misuse in Research Evaluation: Akadémiai Kiadó.
  9. Braun, T. (2008). The Hirsch-index for evaluating science and scientists. Its uses and misuses: Akadémiai Kiadó.
  10. Braun, T., Bujdosó, E., & Schubert, A. (1987). Literature of analytical chemistry: a scientometric evaluation: CRC Press.
  11. Braun, T., Glänzel, W., & Schubert, A. (1985). Scientometric indicators: a 32 country comparative evaluation of publishing performance and citation impact: World Scientific.
  12. Cantú-Ortiz, F. J. (2017). Research Analytics: Boosting University Productivity and Competitiveness through Scientometrics. Auerbach Publications.
  13. Chiesa, V., & Frattini, F. (2009). Evaluation and performance measurement of research and development: techniques and perspectives for multi-level analysis: Edward Elgar.
  14. Cronin, B. (1984). The citation process: the role and significance of citations in scientific communication: Taylor Graham.
  15. Cronin, B., & Atkins, H.B. (Eds.). (2000). The Web of Knowledge: A Festschrift in Honor of Eugene Garfield: Information Today Inc.
  16. Cronin, B. & Sugimoto, C. (Eds). (2014) Beyond Bibliometrics : Harnessing Multidimensional Indicators of Scholarly Impact. Massaschussets, MIT Press.
  17. Cronin, B. & Sugimoto, C.R., (Eds.) (2015). Scholarly metrics under the microscope. Medford, NJ: Information Today.
  18. De Bellis, N. (2009). Bibliometrics and Citation Analysis: From the Science Citation Index to Cybermetrics. Lanham: Scarecrow Press.
  19. Devarajan, G. (1997). Bibliometric studies: Ess Ess Publications.
  20. Diodato, V.P. (1994). Dictionary of bibliometrics: Haworth Press.
  21. Egghe, L. (2005). Power Laws in the Information Production Process: Lotkaian Informetrics: Emerald Group Publishing Limited.
  22. Egghe, L., & Rousseau, R. (1990). Introduction to informetrics: quantitative methods in library, documentation and information science: Elsevier Science Publishers.
  23. Eom, S. (2009). Author cocitation Analysis: Quantitative Methods for Mapping the Intellectual Structure of an Academic Discipline. Hershey: Information Science Reference.
  24. Érdi, P. (2019). Ranking - The Unwritten Rules of the Social Game We All Play. New York: Oxford University Press. 
  25. Evered, D., & Harnett, S. (1989). The Evaluation of Scientific Research: Wiley.
  26. Gingras, Y. (2016). Bibliometrics and Research Evaluation: Uses and Abuses, Cambridge, MA: MIT Press.
  27. Geisler, E. (2000). The metrics of science and technology: Quorum Books.
  28. Harzing, A.W. (2010). The Publish Or Perish Book: Your Guide to Effective and Responsible Citation Analysis: Tarma Software Research.
  29. Hasan, N. (2010). Mapping the dynamics of world agricultural research output: A scientometric study LAP LAMBERT Academic Publishing.
  30. Hjerppe, R. (1980). An outline of bibliometrics and citation analysis, Royal Institute of Technology Library.
  31. Holden, G., Rosenberg, G., & Barker, K. (2006). Bibliometrics in social work: Haworth Social Work Practice Press.
  32. International Survey of Research University Faculty: Use of Bibliometric Ratings, Identifiers & Indicators (2017). Primary Resource Group.
  33. Leydesdorff, L. (2001). The Challenge of Scientometrics: The Development, Measurement, and Self-Organization of Scientific Communications: Universal-Publishers.
  34. Moed, H.F. (2017). Applied evaluative informetrics, Springer.
  35. Moed, H.F. (1989). The use of bibliometric indicators for the assessment of research performance in the natural and life sciences: aspects of data collection, reliability, validity, and applicability: DSWO Press.
  36. Moed, H.F., Glänzel, W., & Schmoch, U. (2004). Handbook of quantitative science and technology research: the use of publication and patent statistics in studies of S & T systems: Kluwer Academic Publishers.
  37. Nicholas, D., & Ritchie, M. (1978). Literature and bibliometrics: C. Bingley.
  38. Okubo, Y. (1997). Bibliometric indicators and analysis of research systems: methods and examples: OECD.
  39. Pǎces, V., Pivec, L., & Teich, A.H. (1999). Science evaluation and its management: IOS Press.
  40. Raan, A.F.J. (1988). Handbook of quantitative studies of science and technology: North-Holland.
  41. Raan, A.F.J., Nederhof, A.J., & Moed, H.F. (1989). Science and technology indicators: their use in science policy and their role in science studies: select proceedings of the First International Workshop on Science and Technology Indicators, Leiden, The Netherlands, 14-16 November 1988: DSWO Press, University of Leiden.
  42. Rana, M.S. (2010). Scientometric Study of Wild Mammal Research in India: Authorship, Distribution and Research Trend: LAP Lambert Academic Publishing
  43. Rao, I.K.R. (2010). Growth of Literature and Measures of Scientific Productivity: Scientometric Models, Ess Ess Publications.
  44. Roemer, R. C. & Borchardt, R. (2015). Meaningful Metrics: A 21st Century Librarian's Guide to Bibliometrics, Altmetrics, and Research Impact, ACRL. 
  45. Santo, A.E. (1978). A measure of the dimensions of interdisciplinarity of two applied sciences: a scientometric model: University of Wisconsin.
  46. Sinha, S. C. & Zhiman, A. K. (2001). Citation Analysis of Research Field and Information Technology Development. ESS ESS Publications. 
  47. Sugimoto, C.R., & Larivière, V. (2017). Measuring research: what everyone needs to know. Oxford: Oxford University Press. 
  48. Tattersall, A. (editor) (2015). Altmetrics: A practical guide for librarians, researchers and academics, Facet Publishing.
  49. Thelwall, M. (2016). Web indicators for research evaluation: A practical guide. Synthesis Lectures on Information Concepts, Retrieval, and Services. San Rafael, CA: Morgan & Claypool Publishers.
  50. Tijssen, R.J.W. (1992). Cartography of science: scientometric mapping with multidimensional scaling methods: DSWO Press, Leiden University.
  51. Tijssen, R.J.W., Leeuwen, T.N., & Raan, A.F.J. (2002). Mapping the scientific performance of German medical research: an international comparative bibliometric study: Schattauer.
  52. Todeschini, R., & Baccini, A. (2016). Handbook of bibliometric indicators: quantitative tools for studying and evaluating research. Wiley-VCH..
  53. Vinkler, P. (2010). The Evaluation of Research by Scientometric Indicators. Oxford: Chandos.
  54. Whitley, R., & Gläser, J. (2007). The changing governance of the sciences: the advent of research evaluation systems: Springer.
  55. Zhao, D. & Strotmann, A.(2015). Analysis and Visualization of Citation Networks, Morgan & Claypool Publishers.
source: https://sites.google.com/site/hjamali/scientometric-portal

How mobile banking service quality influence customer satisfaction of generation x and y?

Authors: Rahmat Trialih, Endang Siti Astuti, Devi Farah Azizah, Yusi Tyroni Mursityo, Miftakhul Dwi Saputro, Saide Saide, Yudha Alief Aprilian, Afian Syafaadi Rizki



Abstract: 

This study addresses satisfaction of generation X and Y as customer to mobile banking service quality of bank ABC in Indonesia. This research purposes to find out how mobile banking service quality influences the customer satisfaction especially in generation X and Y. While most studies relating to bank customers of generation X and Y have not received much attention even though these two generations are the customer majority that Indonesian bank owned currently. This research uses quantitative approach with descriptive research type. The sample number of this research is 100 respondents. We conclude that the mobile banking service quality has positive influence to customer satisfaction. Finally, recommendations and implications are discussed to help improving their mobile service to make the company remain competitive and keep the customers satisfied.

Full article: https://ieeexplore.ieee.org/abstract/document/8539720 


Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

A Brief Review: The Roles in Triggering Knowledge Management Scheme Adoption to Increase Enterprise Performance

Authors: Richardus Eko Indrajit, Saide Saide, Rahmat Trialih, Herzavina Herzavina



Abstract:

Knowledge management (KM) is considered as an important instrument for gaining enterprise competitive advantage. However, a major obstacle from the perspective of integration still exists. Several studies show that the support of Top Management (TM) and Information Technology (IT) become two core issues faced by the enterprise. This study aims to review a determine factor related to those components for the purpose of creating a conceptual model related to KM adoption. The authors used a series of methodological activities, which are: literature review, problems identification, selection process, synthesizing, ideas formulation, and conclusions generation. Finally, the output of this research is a conceptual model that consists of four variables namely Knowledge Management, Information Technology, Top Management and Enterprise Performance.

Full Article: https://ieeexplore.ieee.org/abstract/document/8539520 


Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Investigating The Adoption of Knowledge Management in a Non-Govermental Organization in Malaysia

Authors: Khairul Shafee Kalid and Saide Saide


 

Abstract:

Non-governmental organizations use knowledge extensively in humanitarian efforts, engagements with organizations concerning the welfare of the people and other activities. The knowledge in nongovernmental organizations are mostly tacit. Nevertheless, little is known about knowledge management practices in non-governmental organizations.The aim of this study is to investigate the adoption of knowledge management in a nongovernmental organization.This study adopts a case study research design. Data was collected through a survey sent to a non-governmental organization.The questionnaire was based on the four pillars of knowledge management namely management and organization, people and culture, content and processes and infrastructure. A total of 31 respondents from one NGO participated in the survey.The data was analyzed using descriptive analyses.The findings indicate that knowledge is widely acknowledge as important in non-governmental organizations.To a certain extent, knowledge management principles have been practiced in the organization.However, non-governmental organizations have yet to establish an organization wide knowledge management strategy.The study provides an understanding of how knowledge management is perceived by the non-governmental organizations and provide valuable insights to the practice of knowledge management in nongovernmental organizations.

 

Full article: http://repo.uum.edu.my/25190/ 


Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

The influence of information technology infrastructure and leadership style on knowledge management implementation

Authors: Saide Saide ; Rahmat Trialih ; Richardus Eko Indrajit ; Azhiah Putri ; Putri Nadya Fazri ; Winda Hafiza


Abstract:
This study addresses the issues leadership style (path-goal theory), information technology infrastructure, and knowledge management implementation in State Islamic University of Sultan Syarif Kasim Riau. This article purpose to analyze and examine how leaders and the infrastructure of technology information may support knowledge management implementation. While most studies relating to aspects of knowledge management are concerned with the industry, the university has not received much attention, especially in Indonesia. We validated our measures and tested our research model using 160 respondents. We conclude that leadership style and information technology are key factors that influence knowledge management implementation. Finally, recommendations and implications are discussed to help the university guide its efforts to knowledge management strategy.
 
Published in: 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
 
Date of Conference: 10-13 Dec. 2017
Date Added to IEEE Xplore: 12 February 2018
ISBN Information:
Electronic ISBN: 978-1-5386-0948-4
USB ISBN: 978-1-5386-0947-7
Print on Demand(PoD) ISBN: 978-1-5386-0949-1
Electronic ISSN: 2157-362X 
 
Full article: https://ieeexplore.ieee.org/document/8289877 
 
Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy. 

Implementation of paperless office in the classroom

Authors: Richardus Eko Indrajit, Saide, Rizqi Wahyuningsih










 


Paper is a very necessary thing in our daily lives and a basic requirement in various fields such as office, an education, etc. The paper always needed by students during learning process. A student generally use paper covers the needs of Students’ books, activities pre-test and post-test, reports, portfolios and do homework. One student could use up to one hundreds sheets of paper per semester. But, after all of these usage of paper, we actually has spent $792 only for printing all of these tasks every semester without reuse the paper which ends up in the trash. Based on these issues, this study provides an opportunity for lecturer to perceive the external and internal conditions of implementation paperless classroom in the learning process. Technology as a mediator of paperless classroom, which are proposed based on the identified SWOTs for solving weaknesses and dealing with threats are significant for improving the learning problems. Actually, this paper is not to modify the basic model of Paperless Office concept, but Paperless Office concept to making as a function of mediator between the traditional learning processes to the digital learning process in the classroom. The authors used a systematic literature review approach, starts with literature review, problems identification, selection process, assess, synthesize and write down the ideas proposed, and then make conclusions. Finally, the output of this research is a new model (schematic and technical) of the process and transfer learning process from traditional to digital on the classroom. © 2018, Springer International Publishing AG, part of Springer Nature.

Full Article: https://www.springerprofessional.de/en/implementation-of-paperless-office-in-the-classroom/15563834   

 

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Information technology and individual factors on knowledge sharing activities

Authors: Saide ; Richardus Eko Indrajit ; Winda Hafiza


Figure. Research Model Results


In the world of education, the success of knowledge sharing will help students in realizing and developing their potential. Sharing knowledge is the most important and influential process in knowledge management. The importance of knowledge management can produce value that can be used to make decisions or take action. This study aims to analyze individual and technological factors on knowledge sharing activities. It is intended to know the most influential factors so that can be used as a reference to maximize knowledge sharing activities in university especially in the Faculty of Science and Technology, UIN Suska Riau. This study uses an online questionnaire to get data. There are nine indicators to know which factors influence knowledge sharing, and then explored into 36 statements. Sampling technique in this research is saturated or census sampling with amount of 75 samples. Data analysis technique used is path analysis. The result of path analysis shows that individual factors like personality and self efficacy has more significant effect for knowledge sharing activities and from Information Technology is social media have more significant effect between others. © 2017 IEEE.

Full Article: https://ieeexplore.ieee.org/document/8169922  

Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Improving Creativity of Graphic Design for Deaf Students Using Contextual Teaching Learning Method (CTL)

Authors: Siti Ramadhani, Saide Saide, Richardus Eko Indrajit


 

Abstract: 

This study is addressed to the issues of improving the creativity of deaf Students in graphic design using contextual teaching learning (CTL). Various researches have highlighted the ability of the deaf students in graphic design skill and also provided relevant information for those teachers to prepare a program. The main problem in deaf learning is poor of communication between the deaf students and their teachers, comprehensible visual language inputs, and how to use teaching learning method effectively. The focus of this study was to improve creativity of graphic design skill using CTL Method at SLB Melati as a School for kids with special needs in Pekanbaru (capital city of Riau Province, Indonesia). SLB Melati held Computer Skill as an extracurricular activity andused bitmap image processing. In this paper, CTL Method applied to a vector image processing during learning activity at computer laboratory with video and printing learning media. The authors used single subject research (SSR) with Gutman Scale, involved pretest and posttest observations by questionnaires with 8 questions and 5 respondents (as a representative). The result of pretest observation showed that 12.5% of students have understood using graphic design. Finally, after CTL application method was obtained and showed 75% improving, therefore, given the ability of deaf students in computer graphic design skills using CTL Method can be concrete solution in deaf education in computer learning skill.

 

Full article: https://dl.acm.org/doi/abs/10.1145/3206098.3206128 


Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

User Behavior Analysis in Academic Information System Using Unified Theory of Acceptance and Use of Technology (UTAUT)

Authors: Idria Maita, Saide, Richardus Eko Indrajit, Ade Irmayani


 

Abstract: 

This study discusses the behavior of users of academic information systems that exist in the university Abdurrab Pekanbaru using UTAUT model. UTAUT is a combination of eight user acceptance of technology models that have been developed previously. UTAUT is also used by some researchers to see the intentions and behavior of information technology users in the field of education. The purpose of this research is to find empirical evidence that the determinant factors of SIMAK utilization (performance expectancy, effort expectancy, social influence, facilitating conditions) influence behavioral intention. The four constructs of UTAUT are moderated by gender and age variables. The underlying phenomenon of this research is not optimal in using of SIMAK by the academic community, so that the existence and using of SIMAK is not maximal and it's utilization not measured for all academic communities. Data is obtained through 202 questionnaires distributed to respondents. Data analysis techniques use linear regression with tool of SPSS. The results of this study indicate that the variable of performance expectancy, effort expectancy, and social influence have a significant influence on behavioral intention. While the variable of facilitating conditions have an effect but not significant on behavioral intention.

 

Full article: https://dl.acm.org/doi/abs/10.1145/3230348.3230351 


Saide Saide received the bachelor’s degree with the Department of Information System, Faculty of Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau-UIN SUSKA Riau, Indonesia, in 2013, the master’s degree from the Department of Information Management, National Taiwan University of Science and Technology, Taipei, Taiwan, in 2016, and the master’s degree from the Departmentof Information System, Sepuluh Nopember Instituteof Technology (ITS Surabaya), Surabaya, Indonesia, in 2016, all in information systems and knowledge management. He is currently a Lecturer with the Department of Information System, Facultyof Science and Technology, Universitas Islam Negeri Sultan Syarif Kasim Riau - UIN SUSKA Riau. He was a Visiting Scholar and Research Collaboration withTampere University, Finland, a Researcher with the Department of Information Management, National Taiwan University of Science and Technology, a Project Management with EnReach - Energy Research Center, UIN SUSKA Riau, Indonesia. He has authored numerous articles published in SSCI/SCI journals such as Big Data, Technology Analysis & Strategic Management, IEEE Transactions on Engineering Management, and Journal of Enterprise Information Management, International Journal of Innovation Management, Journal of Science and Technology Policy Management, and International Journal of Business and Society. His research interests include knowledge management, information system, and IT-business strategy.

Pramuka Tembilahan Hulu Taja Talkshow Hadapi Era Digital 4.0

INHIL:Riaunet.com & YRANSMEDIARIAU.COM – Kwartir Ranting (Kwarran) 04.02.15 Gerakan Pramuka Tembilahan Hulu berkerjasama dengan Gugus Depan (Gudep) 15.003-15.004 Gerakan Pramuka STAI Auliaurrasyidin Tembilahan menggelar Talkshow Pramuka Menghadapi Era Digital 4.0 bertempat di Auditorium Kampus STAI Auliaurrasyidin Tembilahan, Jalan Gerilya Parit Enam (Panam) Tembilahan Barat, kabupaten Indragiri Hilir (Inhil), Rabu (6/2/2019).

Ketua Kwarran Gerakan Pramuka Tembilahan Hulu yang di wakili oleh Sekretaris, Dedi Susanto dalam sambutannya pada saat pembukaan mengatakan, bahwa Pramuka itu bukan hanya tepuk tangan dan baris berbaris tetapi juga melalui Pramuka mampu membaca dan berfikir untuk menjawab tantangan zaman karena setiap fase perkembangan yang kita lalui baik itu kita ikuti maupun tidak, pastinya akan terus berjalan.


“Melalui kegiatan ini kita berusaha memberikan stimulan/rangsangan agar kedepan kegiatan pramuka itu tidak stagnan tetapi bisa memanfaatkan kemajuan teknologi, selain itu bagaimana pemanfaatan teknologi tidak menjadi bumerang untuk dimplementasikan dalam kehidupan sehari hari.” Ujar Dedi.
Adapun narasumber kegiatan Talkshow ini adalah Kak Saide, S.Kom.,M.Kom.,M.I.M dari National Taiwan University Of Sience and Technology dan Kak Habibie, SE dari Journalist.

Dalam inti pemaparannya Kak Saide memberikan motivasi bahwa seseorang tidak ada kata tidak bisa, selagi dia ingin berbuat dan ingin mengejar sebuah impiannya walaupun dia adalah orang yang mempunyai keterbatasan dalam finansial tapi jadikan itu sebagai motivasi untuk mengejar impiannya, selain itu tema “PRAMUKA MENGHADAPI ERA DIGITAL 4.0″ juga menceritakan bahwasanya perkembangan zaman di era 4.0 ini sangat luar biasa di karenakan dengan era ini semua serba bisa di lakukan dengan satu ketikan saja akan menghasilkan apa yang di inginkan.




Sementara itu Kak Habibi, SE memaparkan pembuatan konten media sosial agar menarik dalam menyampaikan pesan, selain itu juga langsung diadakan praktik menggunakan media sosial secara bijak. Sultan Hasanuddin Ketua Dewan Kerja Ranting (DKR) Gerakan Pramuka Tembilahan Hulu mengungkapkan, rasa gembiranya kegiatan ini berjalan dengan sukses, di ikuti oleh 403 peserta, tidak termasuk panitia serta di sediakan piagam dan doorprize,” Ungkapnya. “Dengan adanya piagam dan doorprize yang di berikan oleh pihak sponsor kepada peserta menambah nilai semangat dan antusias dalam mengikuti kegiatan tersebut,” Tutur Sultan yang juga Mahasiswa STAI Auliaurrasyidin Tembilahan ini.


Nampak hadir acara Pembukaan dan Talkshow Nasruddin Andalan Ranting dan Pengurus Kwarran Gerakan Pramuka Tembilahan Hulu, Ketua dan Dosen serta Mahasiswa STAI Auliaurrasyidin, Andalan Cabang Gerakan Pramuka Inhil, Dewan Kerja Cabang Inhil, Dewan Kerja Ranting Tembilahan Hulu, Anggota Pramuka dan Osis yang berada di Gugus Depan Tembilahan dan Tembilahan Hulu, Menwa, HMI, GMNI, PMII, KKB dan Organisasi Kemasyarakatan Pemuda (OKP) lainnya.*(rls)



sources:
http://www.transmediariau.com/2019/02/07/pramuka-tembilahan-hulu-taja-talkshow-hadapi-era-digital-4-0/

https://www.riaunet.com/berita/daerah/inhil/9865/2019/kwarran-gerakan-pramuka-tembilahan-hulu-taja-talkshow-pramuka-hadapi-era-digital-4-0/

Main Journals/References in Information System/Management scope


What is Plagiarism ???

 

What is Plagiarism?

English Chinese Korean Japanese French Spanish Italian Arabic
Plagiarism 抄袭 표절 盗作 plagiat plagio plagio الأدب ية ال سرق ة

"Plagiarism, specifically, is a term used to describe a practice that involves knowingly taking and using another person’s work and claiming it, directly or indirectly, as your own." (Neville, 2007, p. 28)
In the United States, plagiarism is taken very seriously, both legally and ethically. It can lead to disciplinary action such as expulsion from the University. Additionally, plagiarizing will damage your reputation and credibility as a scholar in Western academia. Plagiarism can be intentional (purchasing a research paper online or sharing a test with a friend) or unintentional (improperly citing a source in a paper or using an author's words without giving her/him credit). This below list, from Plagiarism.org, identifies some specific forms of plagiarism:
  • "turning in someone else's work as your own
  • copying words or ideas from someone else without giving credit
  • failing to put a quotation in quotation marks
  • giving incorrect information about the source of a quotation
  • changing words but copying the sentence structure of a source without giving credit
  • copying so many words or ideas from a source that it makes up the majority of your work, whether you give credit or not" (What Is Plagiarism?)
It might seem like using the ideas of others is a problem. However, this is not the case. Scholarship is a conversation; that is, you will be expected to read, analyze, and respond to the ideas of others when writing your papers. The key to doing this without plagiarizing is to cite your sources! 

Take good notes
  • While researching, be sure to take note of important quotes and passages that you think you might use in your paper.
  • Note the citation information--the author, title, and page number, so that you can easily cite it in your paper.
  • Develop a system of note-taking that works for you.
Cite correctly
  • "Any time you use words from another source, such as a Web site, book, journal article, or even a friend's English paper, you must give proper credt to the source.
  • Even if you don't use someone else's words, but you refer to an idea of concept from another source, you must also give credit.
  • 'Citing your sources' means giving all of the information about your source, such as author, title, and date of publication, so someone else can find that source again." (Penn State, 2012)
Use quotes effectively
  • "If you use someone else's exact words, you need to put those words in quotation marks. Changing a few words here and there is not enough to avoid plagiarism. Either put the exact phrase you are quoting in quotation marks, or rewrite it entirely in your own words.
  • Quoting extensively from another source, even if you do it properly, is not appropriate for a research paper. Use quotations to support your arguments or clarify important points, but create your own argument using your own words." (Penn State, 2012)
Paraphrase correctly
  • "In a paraphrase, you rewrite what someone else has said in your own way. Just as you have a personality that is different from everyone else's, you as a writer have your own voice and style. When you write, even when you are paraphrasing, your writing should sound like it came from you, not from someone else." (Penn State, 2012)
References:
Neville, C. (2007). The complete guide to referencing and avoiding plagiarism. New York; Maidenhead: Open University Press. 
Penn State. (2012). Plagiarism & You. Online document. Retrieved June 10, 2015, from <https://www.libraries.psu.edu/psul/lls/students/using_information.html>
What Is Plagiarism? (n.d.) Retrieved June 10, 2015, from <http://plagiarism.org/citing-sources/whats-a-citation>

2019 MOE Taiwan Scholarship

Tujuan dari Program Beasiswa Taiwan ini adalah untuk mendorong mahasiswa berprestasi untuk meneruskan jenjang pendidikan di Taiwan. Jika anda berminat mengajukan, silakan terlebih dahulu membaca Taiwan Scholarship Program Guideline (Lampiran1).
1. Periode pengajuan aplikasi : 1 Februari sampai dengan 31 Maret 2019.
2. Dokumen yang diperlukan :
(1) Formulir aplikasi beasiswa (Lampiran 2)
(2) Fotokopi paspor dan kartu keluarga
(3) Fotokopi ijasah dan transkip nilai pendidikan terakhir yang telah keluar
(4) Fotokopi formulir yang digunakan saat mendaftar ke universitas
(Contoh Fotokopi bukti transfer uang pendaftaran, formulir pendaftaran universitas, fotokopi bukti tanda terima aplikasi pendaftaran, email )
(5) Fotokopi sertifikat kemampuan bahasa:
Program studi yang TIDAK menggunakan bahasa Inggris :
Fotokopi sertifikat “Test of Chinese as a Foreign Language” (TOCFL) dengan minimal tingkat menegah (L3). Tidak menerima sertifikat lain selain TOCFL.
Program studi bahasa Inggris (lampiran 3):
Fotokopi sertifikat TOEFL/ TOEIC/IELTS atau sertifikat kemampuan bahasa Inggris lainnya dari Instansi yang sudah diakui internasional.
(6) Dua buah surat rekomendasi yang sudah di tanda tangani dan tertutup rapat dalam amplop.
(contoh dari Kepala Sekolah, Rektor, Dekan, Profesor atau Supervisor). Surat rekomendasi dalam bentuk email atau fotokopi tidak berlaku
3. Jumlah beasiswa yang diberikan:
- Tunjangan biaya hidup :
Untuk S1 akan diberikan sebesar NT$ 15.000,- ( setara USD$500 )/bulan
Untuk S2 dan S3 akan diberikan sebesar NT$ 20.000,- ( setara USD$ 666 )/bulan
- Biaya Kuliah dan biaya akademis lainnya :
Menteri Pendidikan Taiwan akan memberikan subsidi sebesar NT$ 40.000,-/semester untuk setiap mahasiswa. Apabila biaya yang dibutuhkan melebihi NT$ 40.000,-, maka kelebihan biaya ditanggung sendiri oleh penerima beasiswa.
- Penerima beasiswa membayar sendiri :
Biaya administrasi, biaya penasihat tesis, premi asuransi, biaya akomodasi dan biaya internet.
4. Durasi beasiswa :
a. Program S1: Maksimal 4 tahun.
b. Program S2: Maksimal 2 tahun.
c. Program S3: Maksimal 4 tahun.
d. Total durasi penerima beasiswa dapat menerima beasiswa : 5 tahun.
5. Pendaftar beasiswa WAJIB untuk melakukan pendaftaran langsung terlebih dahulu ke universitas
6. Pengumuman beasiswa :
TETO akan mengumumkan daftar penerima beasiswa sebelum 31 Mei 2019.
7. Lampiran 1: Taiwan Scholarship Program Guideline
8. Lampiran 2: Formulir Pendaftaran Beasiswa Taiwan
9. Lampiran 3: Program studi bahasa Inggris
10. Hubungi kami : beasiswa@teto.or.id
Lampiran bisa diambil di www.studiditaiwan.org
Dokumen aplikasi beserta dokumen lainnya dapat dikirimkan ke :
Kantor Taipei Economic and Trade Office
Gedung Artha Graha lt.17, Jl. Jend Sudirman kav 52-53, SCBD, Jakarta 12190
( dituliskan untuk aplikasi beasiswa XXX )

writing a problem statement

Key takeaways:
  • A statement of the problem is used in research work as a claim that outlines the problem addressed by a study.
  • A good research problem should address an existing gap in knowledge in the field and lead to further research.
  • To write a persuasive problem statement, you need to describe (a) the ideal, (b), the reality, and (c) the consequences
Simply ace your problem statement. Click here to get access to all resources that will help you with this article as you read ahead.
Editorial note: This article was updated with the addition of a downloadable template, which can be found at the end of the article. 
Research is a systematic investigative process employed to increase or revise current knowledge by discovering new facts. It can be divided into two general categories: (1) Basic research, which is inquiry aimed at increasing scientific knowledge, and (2) Applied research, which is effort aimed at using basic research for solving problems or developing new processes, products, or techniques.
The first and most important step in any research is to identify and delineate the research problem: that is, what the researcher wants to solve and what questions he/she wishes to answer. A research problem may be defined as an area of concern, a gap in the existing knowledge, or a deviation in the norm or standard that points to the need for further understanding and investigation. Although many problems turn out to have several solutions (the means to close the gap or correct the deviation), difficulties arise where such means are either not obvious or are not immediately available. This then necessitates some research to reach a viable solution.
A statement of the problem is used in research work as a claim that outlines the problem addressed by a study. The statement of the problem briefly addresses the question: What is the problem that the research will address?
What are the goals of a statement of the problem?
The ultimate goal of a statement of the problem is to transform a generalized problem (something that bothers you; a perceived lack) into a targeted, well-defined problem; one that can be resolved through focused research and careful decision-making.
Writing a statement of the problem should help you clearly identify the purpose of the research project you will propose. Often, the statement of the problem will also serve as the basis for the introductory section of your final proposal, directing your reader’s attention quickly to the issues that your proposed project will address and providing the reader with a concise statement of the proposed project itself.
A statement of problem need not be long and elaborate: one page is more than enough for a good statement of problem.
What are the key characteristics of a statement of the problem?
A good research problem should have the following characteristics:
  1. It should address a gap in knowledge.
  2. It should be significant enough to contribute to the existing body of research
  3. It should lead to further research
  4. The problem should render itself to investigation through collection of data
  5. It should be of interest to the researcher and suit his/her skills, time, and resources
  6. The approach towards solving the problem should be ethical
What is the format for writing a statement of the problem?
A persuasive statement of problem is usually written in three parts:
Part A (The ideal): Describes a desired goal or ideal situation; explains how things should be.
Part B (The reality): Describes a condition that prevents the goal, state, or value in Part A from being achieved or realized at this time; explains how the current situation falls short of the goal or ideal.
Part C (The consequences): Identifies the way you propose to improve the current situation and move it closer to the goal or ideal.
Here is an example:
Example 1
Part A: According to the XY university mission statement, the university seeks to provide students with a safe, healthy learning environment. Dormitories are one important aspect of that learning environment, since 55% of XY students live in campus dorms and most of these students spend a significant amount of time working in their dorm rooms.
However,
Part B: Students living in dorms A B C, and D currently do not have air conditioning units, and during the hot seasons, it is common for room temperatures to exceed 80 degrees F. Many students report that they are unable to do homework in their dorm rooms. Others report having problems sleeping because of the humidity and temperature. The rooms are not only unhealthy, but they inhibit student productivity and academic achievement.
Part C: In response to this problem, our study proposes to investigate several options for making the dorms more hospitable. We plan to carry out an all-inclusive participatory investigation into options for purchasing air conditioners (university-funded; student-subsidized) and different types of air conditioning systems. We will also consider less expensive ways to mitigate some or all of the problems noted above (such as creating climate-controlled dorm lounges and equipping them with better study areas and computing space).
Bonus content for signed-in users
Simple four-step guide to writing a statement of the problem (Click here to sign in)
Here is a downloadable template followed by a sample statement of the problem exclusively for signed-in users that has been created using the above template - 
 
Step 1 (Statement 1): Describe a goal or desired state of a given situation, phenomenon etc. This will build the ideal situation (what should be, what is expected or desired)
Step 2 (Statement 2): Describe a condition that prevents the goal, state, or value discussed in Step 1 from being achieved or realized at the present time. This will build the reality or the situation as it is and establish a gap between what ought to be and what is.
Step 3: Connect steps 1 and 2 using a connecting term such as "but," "however," “unfortunately,” or “in spite of.”
Step 4 (Statement 3): Using specific details, show how the situation in step 2 contains little promise of improvement unless something is done. Then emphasize the benefits of research by projecting the consequences of possible solutions.
Here are some examples of how you can write a statement of the problem using the steps mentioned above:
Example 2
Step 1 (Statement 1)
The government of Kenya has a goal to industrialize the nation by the year 2030 (quote). In this regard it has encouraged growth-oriented micro and small enterprises (MSEs) that should graduate into medium and large enterprises capable of contributing to the industrialization goal. There are several sessional papers (quote/cite) that contain specific measures to encourage and support MSEs.
Step 2 and 3 (Statement 2)
Despite the said government efforts, there is slow growth of micro into small enterprises and even slower growth of small into medium scale enterprises (quote, show statistics). The government has officially acknowledged that there exists a “missing middle” in Kenya meaning that there is a gap between small and large enterprises in the country (cite, quote).
Step 4 (Statement 3)
Should the “missing middle” gap persist, the industrialization goal may be difficult to achieve. A need therefore arises to investigate why there is a persistent “missing middle” despite government efforts.
Example 3
Statement 1
In order to accomplish their missions, public universities need motivated workforces.
Statement 2
There are, however, frequent and severe disciplinary actions, absenteeism, as well as various forms of unrest in public universities which affect the accomplishment of the set missions. Our preliminary investigation reveals that both non-management and management staff are under motivated.
Statement 3
Without effective motivational packages and procedures, the said vices are likely to continue and retard the achievement of the universities’ missions.
Thus, there is a need to examine the public universities’ motivation systems and procedures, which is the aim of the proposed research.
Example 4
Statement 1
The Ministry of Youth is dedicated to allocating enterprise development funds to both the youth and women. These funds are made available in order to start entrepreneurial ventures that create and expand employment. (Provide relevant statistics and quote)
Statement 2
One of the main focuses of the ministry is consistency. Unfortunately, consistency in allocating funds to the next generation of recipients requires prior knowledge of previous allocations and established practices. The current continuous disbursement method does not allow for adequate analysis of previous disbursements before a current disbursement is done.
Statement 3
Continuing with this current disbursement method prevents consistency and causes decisions to become grossly political, which in turn inhibits the achievement of the goals of the funds. Developing a more informed disbursement system could help better implement the consistency focus of the ministry and at the same time help the ministry better monitor and evaluate its funds.
This proposed research aspires to explore options for a new funds disbursement system that would focus on consistency. To do this, the researcher will carry out a full stakeholder analysis and use it to propose appropriate policy interventions.
Another approach
Another way to write a statement of the problem is to use a template. Here is a simple template which might be useful for researchers:
There is a problem in ­­­­­­­­­­­­­­­­­­­­­­­­­­______________________(e.g. organization or situation where problem is occurring). Despite ___________________________(efforts to prevent or deter), _____________________(something undesirable or unexpected) is occurring (provide evidence). This problem has negatively affected_____________(victims of the problem) because_____________________________. A possible cause of this problem is ___________________________. Perhaps a study which investigates_________________ by a ___________(paradigm/method) could help resolve the situation.

Sample Statement of a Problem
An established trend in the small business start-up financing in Kenya is to establish funds. Some of these funds include the youth fund and women fund. These funds have helped improve the rate of start-ups in the country. However, after the start-up stage, the ventures start developing problems. First, they face problems in management which lead to a marketing problem and eventually to stagnation and early exit.
A study by the Institute of Development Studies (RoK, 2004) revealed that only 38% of the businesses are expanding while 58% have not added workers. According to the survey, more enterprises are likely to close in their first three years of operation. Four years later the same institute conducted another study in Central Kenya. This study revealed that 57% of small businesses are in stagnation with only 33% of them showing some level of growth.
In our current project, we propose to examine factors that have an impact on small business sustainability. We will employ both qualitative and quantitative approaches to gather both primary and secondary data and information with the objective of determining success factors for the growth of small business in Kenya.
Specifically, we shall employ the product life cycle (PLC) model to identify the needs of a small business at the various stages of the PLC.
References:
1. RoK, (2008). Economic Survey. Nairobi, Kenya. Government Printer.
2. Nyaga C.N. (2009). Non-financial constraints hindering growth of SMEs in Kenya: The case of plastic manufacturing companies in industrial area in Nairobi county.  (A masters  research thesis, University of Nairobi).
3. Nyagah C.N. (2013). Non-financial constraints hindering growth of SME’S in Kenya: the case of plastic manufacturing companies in industrial area in Nairobi County (Doctoral dissertation).
This post is a modified version of the article Is it problem statement or statement of the problem? published on the website of Mukmik consultants. This post has been modified and republished with the permission of the author.
 
sources:https://www.editage.com/insights/the-basics-of-writing-a-statement-of-the-problem-for-your-research-proposal?regform=access-denied-article-regsuccess-facebook#_=_
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