skip to main content

Evaluasi Tingkat Penerimaan Sistem Manajemen Aset Menggunakan Metode HOT-FIT

*Muhammad Amiruddien  -  Diponegoro's University, Indonesia
Aris Puji Widodo  -  Fakultas Sains dan Matematika Universitas Diponegoro, Indonesia
R Rizal Isnanto  -  Universitas Diponegoro, Indonesia
Open Access Copyright (c) 2021 JSINBIS (Jurnal Sistem Informasi Bisnis)

Citation Format:
Abstract

The development of the institution will be directly proportional to the development of the number and types of assets it owns. The growing number and type of assets owned by an institution will have an impact on increasingly difficult management. In asset management, Diponegoro University has developed an Sistem Informasi Manajemen Aset Terpadu (SIMASET). SIMASET needs to be evaluated to find out its shortcomings and can be input for further development. This study aims to determine the factors that influence the level of acceptance and net benefits received by users from the application of SIMASET using the Human-Organization-Technology (HOT-Fit) method. This study begins with designing hypotheses, determining the sample of respondents, filling out questionnaires, and ending with questionnaire data analysis. There are 20 hypotheses tested regarding the relationship between technology, human and organizational constructs in the HOT-Fit method. The Partial Least Squares-Structural Equation Modeling (PLS-SEM) method in the Smart-PLS 3.0 application is used to analyze the questionnaire data that has been filled out by SIMASET direct users. The results showed that the net benefits of implementing SIMASET were increasing effectiveness, helping decision making, reducing errors and facilitating communication. In addition, it can be seen that SIMASET's shortcomings lie in the quality of information and service quality because they have no significant effect on system use and user satisfaction. SIMASET acceptance rate of 51.6% or moderate taken from the R-square value of net benefits.

Note: This article has supplementary file(s).

Fulltext View|Download |  Research Instrument
CTA Agreement
Subject
Type Research Instrument
  Download (311KB)    Indexing metadata
Keywords: Integrated Asset Management System; Evaluation; Acceptance Rate; PLS-SEM; HOT-Fit Method

Article Metrics:

  1. Abda’u, P.D., Winarno, W.W., & Henderi, H., 2018. Evaluasi penerapan SIMRS menggunakan metode HOT-Fit di RSUD dr. Soedirman Kebumen. INTENSIF: Jurnal Ilmiah Penelitian Dan Penerapan Teknologi Sistem Informasi, 2(1), 46. https://doi.org/10.29407/intensif.v2i1.11817
  2. Ayuardini, M., Ridwan, A., 2019. Implementasi metode Hot Fit pada evaluasi tingkat kesuksesan sistem pengisian KRS terkomputerisasi. Faktor Exacta, 12(2), 122–131. https://doi.org/10.30998/faktorexacta.v12i2.3639
  3. Dalimunthe, N. & Azhari, W.A., 2019. Analisa sistem informasi perpustakaan dengan pendekatan Human Organization Technology (Hot) Fit Model (Studi Kasus: Perpustakaan UIN Suska Riau). Seminar Nasional Teknologi …, 43, 30–41. http://ejournal.uin-suska.ac.id/index.php/SNTIKI/article/view/7909
  4. Dewi, S., Jannah, L.M., & Jumaryadi, Y., 2018. Analisis dan perancangan sistem informasi manajemen aset tetap pada PT. Metis Teknologi Corporindo. JUST IT: Jurnal Sistem Informasi, Teknologi Informasi dan Komputer, 9(1), 81–91
  5. Erimalata, S., 2016. Pendekatan Hot-Fit framework dalam generalized structural component analysis pada sistem informasi manajemen barang milik daerah: sebuah pengujian efek resiprokal. Jurnal Akuntansi dan Investasi, 17(2), 141–157. https://doi.org/10.18196/jai.2016.0051.141-157
  6. 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
  7. Ghozali, I., & Latan, H., 2015. Partial least squares : konsep, teknik dan aplikasi menggunakan program SmartPLS3.0 untuk penelitian empiris (Ed.2). Badan Penerbit Universitas Diponegoro Semarang
  8. Karnawati, H., Purnama, P.D., & Azmi, T.U., 2020. Analisis kinerja aset destinasi wisata waduk, Studi kasus : Waduk Cijere, Kabupaten Bandung Barat. Jurnal Manajemen Aset Infrastruktur & Fasilitas, 4(4), 299–316. https://doi.org/10.12962/j26151847.v4i4.7903
  9. Soraya, I., Adawiyah, W.R. & Sutrisna, E., 2019. Pengujian model Hot Fit pada sistem informasi manajemen obat di instalasi farmasi Rsgmp Unsoed Purwokerto. Jurnal Ekonomi, Bisnis, dan Akuntansi, 21(1), 1–16. https://doi.org/10.32424/jeba.v21i1.1261
  10. Yamin, S. dan Kurniawan, H., 2009. Statistik SPSS Complete : Teknik analisis statistik terlengkap dengan software SPSS structural equation modeling : belajar lebih mudah teknik analisis data kuesioner dengan smart–pls. Analisis korespondensi bab analisis diskriminan
  11. 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
  12. Yusof, M.M., Paul, R.J., & Stergioulas, L.K., 2006. Towards a framework for health information systems. Proceedings of the Annual Hawaii International Conference on System Sciences, 5. https://doi.org/10.1109/HICSS.2006.491

Last update:

No citation recorded.

Last update: 2024-12-23 09:23:00

No citation recorded.