Big Data Analysis of Indonesian Scholars' Publications: A Research Theme Mapping
The advancement of science and technology plays an important role in enhancing the international competitiveness of a nation. One of the indicators for measuring the advancement in science and technology of a nation is the amount of research that is published in international journals. In order...
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Format: | Article |
Language: | English |
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Universitas Indonesia
2015-10-01
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Series: | International Journal of Technology |
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Online Access: | http://ijtech.eng.ui.ac.id/article/view/1403 |
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author | Isti Surjandari Arian Dhini Esther Widya Impola Lumbantobing Anita Titiani Widari Irfan Prawiradinata |
author_facet | Isti Surjandari Arian Dhini Esther Widya Impola Lumbantobing Anita Titiani Widari Irfan Prawiradinata |
author_sort | Isti Surjandari |
collection | DOAJ |
description | The advancement of science and technology plays an
important role in enhancing the international competitiveness of a nation. One
of the indicators for measuring the advancement in science and technology of a
nation is the amount of research that is published in international journals.
In order to improve the quantity and quality of research publications, research
themes mapping of published studies is required. By conducting research themes
mapping, the research road map for future research can be developed
effectively. In this study, Indonesian scholars’ publications, which are
indexed in Scopus during the last five years (2010-2014), were analyzed by applying co-word analysis.
Co-word analysis, which is part of text mining, is applied to find the
interrelationship among research themes in a big corpus of data. As a result,
there are fifteen main research themes in Indonesia as on Quadrant I and IV of
strategic diagram. |
first_indexed | 2024-04-11T02:29:34Z |
format | Article |
id | doaj.art-d1c375452a1d49a686d9480d4a995fe6 |
institution | Directory Open Access Journal |
issn | 2086-9614 2087-2100 |
language | English |
last_indexed | 2024-04-11T02:29:34Z |
publishDate | 2015-10-01 |
publisher | Universitas Indonesia |
record_format | Article |
series | International Journal of Technology |
spelling | doaj.art-d1c375452a1d49a686d9480d4a995fe62023-01-02T21:49:00ZengUniversitas IndonesiaInternational Journal of Technology2086-96142087-21002015-10-016465065810.14716/ijtech.v6i4.14031403Big Data Analysis of Indonesian Scholars' Publications: A Research Theme MappingIsti Surjandari0Arian Dhini1Esther Widya Impola Lumbantobing2Anita Titiani Widari3Irfan Prawiradinata4Department of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, IndonesiaDepartment of Industrial Engineering, Faculty of Engineering, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, IndonesiaDepartment of Economics, Faculty of Economics and Business, Universitas Indonesia, Kampus Baru UI Depok, Depok 16424, IndonesiaThe advancement of science and technology plays an important role in enhancing the international competitiveness of a nation. One of the indicators for measuring the advancement in science and technology of a nation is the amount of research that is published in international journals. In order to improve the quantity and quality of research publications, research themes mapping of published studies is required. By conducting research themes mapping, the research road map for future research can be developed effectively. In this study, Indonesian scholars’ publications, which are indexed in Scopus during the last five years (2010-2014), were analyzed by applying co-word analysis. Co-word analysis, which is part of text mining, is applied to find the interrelationship among research themes in a big corpus of data. As a result, there are fifteen main research themes in Indonesia as on Quadrant I and IV of strategic diagram.http://ijtech.eng.ui.ac.id/article/view/1403Bibliometrics, Big data analysis, Co-word analysis, Indonesia, Research theme mapping |
spellingShingle | Isti Surjandari Arian Dhini Esther Widya Impola Lumbantobing Anita Titiani Widari Irfan Prawiradinata Big Data Analysis of Indonesian Scholars' Publications: A Research Theme Mapping International Journal of Technology Bibliometrics, Big data analysis, Co-word analysis, Indonesia, Research theme mapping |
title | Big Data Analysis of Indonesian Scholars' Publications: A Research Theme Mapping |
title_full | Big Data Analysis of Indonesian Scholars' Publications: A Research Theme Mapping |
title_fullStr | Big Data Analysis of Indonesian Scholars' Publications: A Research Theme Mapping |
title_full_unstemmed | Big Data Analysis of Indonesian Scholars' Publications: A Research Theme Mapping |
title_short | Big Data Analysis of Indonesian Scholars' Publications: A Research Theme Mapping |
title_sort | big data analysis of indonesian scholars publications a research theme mapping |
topic | Bibliometrics, Big data analysis, Co-word analysis, Indonesia, Research theme mapping |
url | http://ijtech.eng.ui.ac.id/article/view/1403 |
work_keys_str_mv | AT istisurjandari bigdataanalysisofindonesianscholarspublicationsaresearchthememapping AT ariandhini bigdataanalysisofindonesianscholarspublicationsaresearchthememapping AT estherwidyaimpolalumbantobing bigdataanalysisofindonesianscholarspublicationsaresearchthememapping AT anitatitianiwidari bigdataanalysisofindonesianscholarspublicationsaresearchthememapping AT irfanprawiradinata bigdataanalysisofindonesianscholarspublicationsaresearchthememapping |