Interactive Visualization Dashboard for Exploring Scientific Publications in Indonesia
Abstract
Numerous bibliometric investigations have been carried out in Indonesia, primarily relying on publication data indexed exclusively in Scopus. This study aims to leverage scientific publication data from the Indonesian Scientific Journal Database (ISJD) by constructing an interactive visualization dashboard for the analysis of Indonesian scientific publications. This dashboard is expected to become an additional reference for researchers in the field of bibliometrics. The stages of making this dashboard consist of Identification of visualization needs referring to previous research; data feasibility check; data correction and update; data visualization; and evaluation to assess the correctness of the data and the resulting visualization. Evaluation results indicate that the dashboard's analysis system is functioning effectively, offering diverse analysis options. Nonetheless, the system has limitations related to data quality in ISJD, necessitating improvements in terms of completeness, appropriateness, and data updates. Future research will enhance the dashboard by incorporating citation analysis calculations to evaluate the performance of authors and journals.
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Amelia, M., Nadhiroh, I. M., Rahmaida, R., Hardiyati, R., & Handayani, T. (2017). Kolaborasi Penulis Indonesia Dalam Publikasi Ilmiah Internasional Keanekaragaman Hayati Indonesia. Forum Tahunan Pengembangan Iptek Dan Inovasi Nasional VII, 177--187. http://lipi.go.id/publikasi/kolaborasi-penulis-indonesia-dalam-publikasi-ilmiah-internasional-keanekaragaman-hayati-indonesia/22288
Borkin, M. A., Vo, A. A., Bylinskii, Z., Isola, P., Sunkavalli, S., Oliva, A., & Pfister, H. (2013). What Makes a Visualization Memorable? IEEE Transactions on Visualization and Computer Graphics, 19(12), 2306–2315. https://doi.org/10.1109/TVCG.2013.234
Deta, U. A., Arika, A., Lentika, D. L., Al Lathifah, S. A. S., Suliyanah, S., Admoko, S., & Suprapto, N. (2021). Research trend of socio scientific issues (SSI) in physics learning through bibliometric analysis in 2011-2020 using Scopus database and the contribution of Indonesia. Jurnal Penelitian Pendidikan IPA, 7(4), 682–692. https://doi.org/10.29303/jppipa.v7i4.862
Fadhilaturrahmi, F., Erlinawati, E., & Ananda, R. (2020). Workshop Sinta 2 dan Google Schoolar di Universitas Pahlawan Tuanku Tambusai. Jurnal Abdidas, 1(4), 203–209. https://doi.org/10.31004/abdidas.v1i4.45
Hanief, Y. N., Kardiyanto, D. W., Winarno, M. E., & Haqiyah, A. (2021). Development of Indonesia Scientific Publications of Physical Education in Reputable International Journals: A Bibliometric Analysis. Jurnal Pendidikan Jasmani Dan Olahraga, 6(1), 59–67. https://doi.org/10.17509/jpjo.v6i1.32335
Indrawati, A., Subagyo, H., Sihombing, A., Wagiyah, W., & Afandi, S. (2020). Analyzing The Impact Of Resampling Method For Imbalanced Data Text In Indonesian Scientific Articles Categorization. BACA: Jurnal Dokumentasi Dan Informasi, 42(2), 133–141. https://doi.org/10.14203/j.baca.v41i2.563
Kudale, H. S., Phadnis, M. V, Chittar, P. J., Zarkar, K. P., & Bodhke, B. K. (2022). A REVIEW OF DATA ANALYSIS AND VISUALIZATION OF OLYMPICS USING PYSPARK AND DASH-PLOTLY. In International Research Journal of Modernization in Engineering Technology and Science www.irjmets.com @International Research Journal of Modernization in Engineering (Vol. 4, Issue 6). https://www.irjmets.com/uploadedfiles/paper/issue_6_june_2022/26148/final/fin_irjmets1655438238.pdf
Latif, S., & Beck, F. (2019). VIS Author Profiles: Interactive Descriptions of Publication Records Combining Text and Visualization. IEEE Transactions on Visualization and Computer Graphics, 25(1), 152–161. https://doi.org/10.1109/TVCG.2018.2865022
Leung, C. K.-S., Carmichael, C. L., Johnstone, P., Xing, R. R., & Yuen, D. S. H.-C. (2017). Interactive Visual Analytics of Big Data. In Journal of e-Learning and Knowledge Society (Vol. 12, Issue 4, pp. 1–26). https://doi.org/10.4018/978-1-5225-2058-0.ch001
Lukman, L., Yaniasih, Y., Maryati, I., Silalahi, M. A., & Sihombing, A. (2016). Kekuatan 50 Institusi Ilmiah Indonesia Profil Publikasi Ilmiah Terindeks Scopus. Direktorat Kekayaan Intelektual Direktorat Jenderal Penguatan Riset dan Pengembangan Kementerian Riset, Teknologi, dan Pendidikan Tinggi. https://kopertis12.or.id/2016/12/19/buku-kekuatan-50-institusi-ilmiah-indonesia.html
Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations. Scientometrics, 126(1), 871–906. https://doi.org/10.1007/s11192-020-03690-4
Maryono, M., & Surajiman, S. (2017). Kolaborasi Internal, Domestik dan Internasional Serta Korelasinya dengan Sitasi yang Diperoleh: Analisis Publikasi UGM di Scopus. Berkala Ilmu Perpustakaan Dan Informasi, 13(2), 166. https://doi.org/10.22146/bip.27492
Matzen, L. E., Haass, M. J., Divis, K. M., Wang, Z., & Wilson, A. T. (2018). Data Visualization Saliency Model: A Tool for Evaluating Abstract Data Visualizations. IEEE Transactions on Visualization and Computer Graphics, 24(1), 563–573. https://doi.org/10.1109/TVCG.2017.2743939
Midway, S. R. (2020). Principles of Effective Data Visualization. In Patterns (Vol. 1, Issue 9). Cell Press. https://doi.org/10.1016/j.patter.2020.100141
Nandiyanto, A. B. D., Biddinika, M. K., & Triawan, F. (2020). How bibliographic dataset portrays decreasing number of scientific publication from Indonesia. Indonesian Journal of Science and Technology, 5(1), 154–175. https://doi.org/10.17509/ijost.v5i1.22265
Nugroho, B., & Marlina, E. (2018). Pengkategorian Otomatis Artikel Ilmiah dalam Pangkalan Data Perpustakaan Digital Menggunakan Metode Kernel Graph. JURNAL IPTEKKOM: Jurnal Ilmu Pengetahuan & Teknologi Informasi, 19(2), 95. https://doi.org/10.33164/iptekkom.19.2.2017.95-106
Park, Y., & Jo, I. H. (2015). Development of the learning analytics dashboard to support students’ learning performance. Journal of Universal Computer Science, 21(1), 110–133. https://doi.org/10.3217/jucs-021-01-0110
Putera, P. B., Kusuma, Parama T. W. W., & Kadang, S. (2021). Indonesian International Scientific Publication Trend, 2015-2019. Pustabiblia: Journal of Library and Information Science, 5(1), 77–96. https://doi.org/10.18326/pustabiblia.v5i1.77-96
Putri, R. A., Royani, Y., Fadhilah, F., & Sulaiman, M. (2021). Kompetensi Pustakawan Dalam Menganalisis Kata Kunci. BACA: Jurnal Dokumentasi Dan Informasi, 42(1), 43. https://doi.org/10.14203/j.baca.v42i1.734
Qin, X., Luo, Y., Tang, N., & Li, G. (2020). Making data visualization more efficient and effective: a survey. VLDB Journal, 29(1), 93–117. https://doi.org/10.1007/s00778-019-00588-3
Rahmaida, R., & Amelia, M. (2018). Pengaruh Kolaborasi Terhadap Kualitas Publikasi Penelitian Keanekaragaman Hayati Indonesia Berdasarkan Basis Data Scopus (1990-2012). Berita Biologi: Jurnal Ilmu-Ilmu Hayati, 17(3), 225–349. https://doi.org/10.14203/beritabiologi.v17i3.3333
Saputra, A. (2020). Pemanfaatan Science and Technology Index (SINTA) untuk Publikasi Karya Ilmiah dan Pencarian Jurnal Nasional Terakreditasi. Media Pustakawan, 27(1), 56--68. https://doi.org/https://doi.org/10.37014/medpus.v27i1.674
Soma, S., Soma Ajibade, S., & Adediran, A. (2016). An Overview of Big Data Visualization Techniques in Data Mining. International Journal of Computer Science and Information Technology Research, 4(3), 105–113. https://doi.org/https://doi.org/10.20368/1971-8829/1128
Stehle, S., & Kitchin, R. (2020). Real-time and archival data visualisation techniques in city dashboards. International Journal of Geographical Information Science, 34(2), 344–366. https://doi.org/10.1080/13658816.2019.1594823
Wahidah, I., & Afriyani, A. (2021). Perkembangan Penelitian Dan Publikasi Pelayanan Publik Sejak Tahun 2018-2020. Khazanah Multidisiplin, 3(1), 1–20. https://doi.org/10.15575/kl.v3i1.15757
Wang, Y., Yu, M., Shan, G., Shen, H. W., & Lu, Z. (2019). VISPubComPAS: a comparative analytical system for visualization publication data. Journal of Visualization, 22(5), 941–953. https://doi.org/10.1007/s12650-019-00585-2
Yaniasih, Y., Rachmawati, R., & Sihombing, A. (2017). Public Research Organisations’ Output Vis-à-vis National Research Policy in Indonesia: Bibliometrics and Visualization. SRELS Journal of Information Management, 54(2), https://doi.org/10.17821/srels/2017/v54i2/109376
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