Evaluation of Optima Regional Health Information System with HOT-Fit on Technology Aspects Approach in Johar Baru Health Center Jakarta

Ahmad Fauzan(1), Noviandi Noviandi(2*)


(1) Universitas Esa Unggul
(2) Universitas Esa Unggul
(*) Corresponding Author

Abstract


The Information technology development has affected various sectors, including health services. The several technologies have been used to improve health facilities performance. At Johar Baru Health center, central Jakarta, SIKDA (Sisitem Informasi Kesehatan Daerah) Optima application has been applied. Meanwhile, the implementation of SIKDA Optima is not as good as expected. There still many disruptions during the use of this application such a delay service and delivery of report was not in a real time, therefore an evaluation is needed. The purpose of this study was to determine the quality of system, information, and service which is affecting the satisfaction of SIKDA Optima users at Johar Baru Health Center, Central Jakarta. This study used a quantitative approach with observational survey and cross-sectional design. The population in this study was 98 persons and the sample were 79 users of SIKDA Optima, consist of 19 doctors, 22 nurses, 17 midwives, 9 pharmacies, 2 medical recorder and 10 administration staffs. Data analysis was performed using multiple linear regression. The results of multiple linear regression test showed that the user satisfaction of SIKDA Optima = -3.832 + 0.549 (KS) + 0.757 (KI) + 0.359 (KL) with a p-value of KS 0.001<0.05), p-value KI 0,000 <0,05), and the p-value of KL is 0.009 <0.05. The conclusion of this study is the quality of system, information, and services that is used at Johar Baru Health Center have a significant influence on the satisfaction of SIKDA Optima users.

Keywords


Health services tecnology; SIKDA optima; hot fit

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References


Anwar, N., Masrek, M. N., & Rambli, Y. R. (2012). Visitor Management system by applying the model of UTAUT. 2012 IEEE Symposium on Business, Engineering and Industrial Applications, 223–228. https://doi.org/10.1109/ISBEIA.2012.6422874

Ayanlade, O. S., Oyebisi, T. O., & Kolawole, B. A. (2019). Health Information Technology Acceptance Framework for diabetes management. Heliyon, 5(5), e01735. https://doi.org/10.1016/j.heliyon.2019.e01735

Erlirianto, L. M., Ali, A. H. N., & Herdiyanti, A. (2015). The Implementation of the Human, Organization, and Technology–Fit (HOT–Fit) Framework to Evaluate the Electronic Medical Record (EMR) System in a Hospital. Procedia Computer Science, 72, 580–587. https://doi.org/10.1016/j.procs.2015.12.166

Gunawan, H. (2018). Identifying Factors Affecting Smart City Adoption Using The Unified Theory of Acceptance and Use of Technology (UTAUT) Method. 2018 International Conference on Orange Technologies (ICOT), 1–4. https://doi.org/10.1109/ICOT.2018.8705803

Hakam, F. (2016). Analisis, Perancangan dan Evauasi Sistem Informasi kesehatan. Indonesia, P. R. (2014). Peraturan Pemerintah Republik Indonesia Nomor 46 Tahun 2014 Tentang Sistem Informasi Kesehatan. www.depkes.go.id/download.php

Isnawati, K., Nugroho, E., & Lazuardi, L. (2016). Implementasi Aplikasi Sistem Informasi Kesehatan Daerah ( SIKDA ) Generik Di UPT . Puskesmas Gambut Kabupaten. Journal of Information Systems for Public Health, 1(1), 64–71.

Jannah, L. M., & Salsabila, S. (2019). Evaluasi Penerapan SIKDA Optima Dengan Pendekatan HOT-Fit pada Aspek Sumber Daya Manusia di Wilayah Puskesmas Johar Baru Jakarta Pusat. Indonesian of Health Information Management Journal, 7(1), 16–21.

Kamal, S. A., Shafiq, M., & Kakria, P. (2020). Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM). Technology in Society, 60(February), 101212. https://doi.org/10.1016/j.techsoc.2019.101212

RI, K. K. (2011). SIKDA Generik. Buletin Jendela Data dan Informasi Kesehatan Triwulan III ISSN 2088- 270X.

Sibuea, G. H. C., Napitupulu, T. A., & Condrobimo, A. R. (2017). An evaluation of information system using HOT-FIT model: A case study of a hospital information system. 2017 International Conference on Information Management and Technology (ICIMTech), 106–111. https://doi.org/10.1109/ICIMTech.2017.8273520

Singh, A., & Masuku, M. (2014). Sampling Techniques & Determination of Sample Size in Applied Statistics Research: an Overview. Ijecm.Co.Uk, II(11), 1–22. http://ijecm.co.uk/wpcontent/uploads/2014/11/21131.pdf

Susanto, G., & Sukakdi. (2011). Sistem Informasi Rekam Medis Pada Rumah Sakit Umum Daerah (RSUD) Pacitan Berbasis Web Base. Journal Speed – Sentra Penelitian Engineering Dan Edukasi, 3(4), 18–24.

Thenu, V. J., Sediyono, E., & Purnami, C. T. (2016). Evaluation of Health Center Management Information System to Support the Implementation of Generic SIKDA using HOT (fit) method in District of Purworejo. Jurnal Manajemen Kesehatan Indonesia, 4(2), 129–138. https://doi.org/10.14710/JMKI.4.2.2016.129-138

Tullah, R., & Hanafri, M. I. (2014). Evaluasi Penerapan Sistem Informasi Pada Politeknik LP3I Jakarta Dengan Metode Pieces. Jurnal Sisfotek Global, 4(1), 22–28. http://journal.stmikglobal.ac.id/index.php/sisfotek/article/ download/36/37

Yusof, M. M., Paul, R. J., & Stergioulas, L. K. (2006). Towards a Framework for Health Information Systems Evaluation. Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS’06), 95a-95a. https://doi.org/10.1109/HICSS.2006.491


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DOI: https://doi.org/10.26714/jichi.v1i1.5397

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Journal of Intelligent Computing and Health Informatics (JICHI)
ISSN 2715-6923 (print) | 2721-9186 (online)
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Department of Informatics
Faculty of Engineering
Universitas Muhammadiyah Semarang

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