Optimizing Data Visualization for Research and Community Service Management : Evaluating SIMLPPM Universitas Jambi Using the HOT-FIT Model

Jodion Siburian; Pradita Eko Prasetyo Utomo; Dawam Suprayogi

doi:10.62951/ijcts.v2i1.230

Authors

Jodion Siburian Universitas Jambi
Pradita Eko Prasetyo Utomo Universitas Jambi
Dawam Suprayogi Universitas Jambi

DOI:

https://doi.org/10.62951/ijcts.v2i1.230

Keywords:

Data visualization, higher education information systems, HOT-FIT model, SIMLPPM, user trust

Abstract

The increasing demand for efficient data management in higher education has highlighted the need for advanced information systems that support research and community service activities. At Universitas Jambi, the Sistem Informasi Penelitian dan Pengabdian kepada Masyarakat (SIMLPPM) is the primary platform for managing research data. However, its usability remains limited due to restricted accessibility, unstructured data categorization, and inadequate visualization tools. This study aims to enhance SIMLPPM by developing an interactive dashboard to improve data presentation, user trust, and decision-making efficiency. The research employs the Human-Organization-Technology FIT (HOT-FIT) model to evaluate user satisfaction and system effectiveness by surveying 128 faculty members. The findings indicate that leadership support, organizational structure, and facilities significantly influence user satisfaction and system adoption, while information and service quality have minimal impact. The study underscores the importance of system usability and administrative support over purely technical attributes. Future research should explore AI-driven analytics and expand the evaluation across multiple institutions to enhance data accessibility and user engagement in research management.

References

Al-Fraihat, D., Joy, M., Masa'deh, R., & Sinclair, J. (2020). Evaluating e-learning systems success: An empirical study. Computers in Human Behavior, 102, 67–86. https://doi.org/10.1016/j.chb.2019.08.004

Bachtiar, A. M., Dharmayanti, D., & Husnaisa, H. (2017). Visualisasi data terbuka ketahanan pangan Provinsi Jawa Barat. Jurnal Ilmiah Komputer dan Informatika, 6(1), 16–23.

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.

Dwi, F. S. (2017). Visualisasi data di sistem manajemen perpustakaan. Jurnal Perpustakaan Pertanian, 26(2), 82–86.

Friedman, V. (2008). Data visualization and infographics. Smashing Magazine. https://www.smashingmagazine.com/2008/01/monday-inspiration-data-visualization-and-infographics/

Ghozali, I. (2011). Aplikasi analisis multivariate dengan program SPSS (Edisi ke-6). Badan Penerbit Universitas Diponegoro.

Hari Mantik. (2021). Model pengembangan dashboard untuk monitoring dan sebagai alat bantu pengambilan keputusan (studi kasus PT MTI dan PT JPN). JSI (Jurnal Sistem Informasi) Universitas Suryadarma, 8(1), 235–240.

Hariyanti, E., Werdiningsih, I., & Surendro, K. (2011). Model pengembangan dashboard untuk monitoring dan evaluasi kinerja perguruan tinggi. Teknologi Informasi, 9(1), 13–20.

Ifenthaler, D., & Schweinbenz, V. (2016). Students’ acceptance of tablet PCs in the classroom. Journal of Research on Technology in Education, 48(4), 306–321. https://doi.org/10.1080/15391523.2016.1215172

Januarita, D., & Digahayu, T. (2015). Pengembangan dashboard information system (DIS). Jurnal Infotel, 7(2), 165–169.

Loka, W. I., & Natalia, F. (2019). Perancangan dan pembuatan visualisasi data dana penelitian internal dan hibah Dikti LPPM Universitas Multimedia Nusantara. ULTIMA InfoSys, 10(1), 61–68.

Rahmanto, R. J. (2023). Design of strategic information system blueprint with Enterprise Architecture Planning method. Interdisciplinary Journal and Humanity (INJURITY, 2(6), 519. https://doi.org/10.58631/injurity.v2i6.88

Silic, M., Barlow, J., & Back, A. (2018). Evaluating the role of trust in adoption: A conceptual replication in the context of open-source systems. AIS Transactions on Replication Research, 4(March), 1–17.

Sillence, E., Briggs, P., Harris, P. R., & Fishwick, L. (2007). How do patients evaluate and make use of online health information? Social Science & Medicine, 64(9), 1853–1862.

Teo, T. (2019). Factors influencing technology acceptance in education: A review of research. Educational Technology & Society, 22(4), 1–14.

Unwin, A. (2020). Why is data visualization important? What is important in data visualization? Harvard Data Science Review, 2(1). https://doi.org/10.1162/99608f92.8ae4d525

Viegas, F., & Wattenberg, M. (2011). How to make data look sexy. CNN. Retrieved from http://articles.cnn.com

Wang, Y. D., & Emurian, H. H. (2005). An overview of online trust: Concepts, elements, and implications. Computers in Human Behavior, 21(1), 105–125.

Yusof, M. M., Kuljis, J., Papazafeiropoulou, A., & Stergioulas, L. K. (2008). An evaluation framework for Health Information Systems: Human, organization, and technology-fit factors (HOT-fit). International Journal of Medical Informatics, 77(6), 386–398. https://doi.org/10.1016/j.ijmedinf.2007.08.011