Pengaruh UTAUT Terhadap Behavioral Intention yang di Mediasi oleh Use Behaviour SIMRS RSUD Kota Mataram

Dhany Rizally; Dwi Putra Buana Sakti; Saipul Arni Muhsaf

doi:10.36312/ej.v4i1.1332

Authors

Dhany Rizally Universitas Mataram
Dwi Putra Buana Sakti Universitas Mataram
Saipul Arni Muhsaf Universitas Mataram

DOI:

https://doi.org/10.36312/ej.v4i1.1332

Keywords:

Behavioral Intention, USE Behaviour, SIMRS.

Abstract

Sistem Informasi Manajemen Rumah Sakit (SIMRS) di RSUD Kota Mataram belum bisa berjalan dengan baik dikarenakan terdapat beberapa kendala. Kendala yang dialami yaitu kurangnya sumber daya manusia, struktur kepengurusan SIMRS yang belum jelas, tidak adanya petunjuk atau pedoman yang jelas dan benar mengenai penggunaan SIMRS, terdapat banyak petugas yang sudah tidak lagi menggunakan SIMRS sebagai pengolahan data dan dasar pengambilan keputusan, dan perangkat pendukung (baik dari segi hardware, software, dan jaringan) yang belum mencukupi dan belum memadai. Penelitian ini bertujuan untuk mengetahui Pengaruh UTAUT terhadap behavioral intention yang di mediasi oleh use behaviour SIMRS RSUD Kota Mataram. Penelitian ini menggunakan metode penelitian asosiatif. Sampel dalam penelitian ini berjumlah 50. Instrumen yang digunakan dalam penelitian yaitu angket. Data dianalisis dengan menggunakan metode SMARTPls. Berdasarkan hasil penelitian, dinyatakan bahwa Performance expectancy berpengaruh positif dan tidak signifikan terhadap behavioral intention. Effort expectancy berpengaruh positif dan tidak signifikan terhadap behavioral intention. Social Influence berpengaruh positif dan signifikan terhadap behavioral intention. Facilitating Conditions berpengaruh positif dan tidak signifikan terhadap behavioral intention. Hedonic Motivation berpengaruh positif dan tidak signifikan terhadap behavioral intention. Price Value berpengaruh positif dan tidak signifikan terhadap behavioral intention. Habit berpengaruh positif dan signifikan terhadap behavioral intention. Use behaviour menjadi partial mediation bagi variabel habit terhadap behavioral intention SIMRS RSUD Kota Mataram. Use behaviour menjadi full mediation bagi variabel facilitating conditions terhadap behavioral intention SIMRS RSUD Kota Mataram karena Specific Indirect Effect Bootstrapping menunjukkan hasil signifikan dan Path Coefficient Bootstrapping juga menunjukkan hasil tidak signifikan.

The Influence of UTAUT on Behavioral Intention Mediation by Use Behavior SIMRS RSUD Kota Mataram

Abstract

The Hospital Management Information System (SIMRS) at the Mataram City Hospital is still not working properly because there are several obstacles. The constraints experienced were the lack of human resources, the unclear management structure of SIMRS, the absence of clear and correct instructions or guidelines regarding the use of SIMRS, there were many officers who no longer used SIMRS as data processing and the basis for decision making, and supporting devices. both in terms of hardware, software, and network) which are not sufficient and inadequate. This study aims to determine the influence of UTAUT on behavioral intention which is mediated by use behavior SIMRS RSUD Kota Mataram. This research uses associative research method. The sample in this study amounted to 50. The instrument used in this study was a questionnaire. Data were analyzed using the SMARTPls method. Based on the results of the study, it is stated that performance expectancy has a positive and insignificant effect on behavioral intention. Effort expectancy has a positive and insignificant effect on behavioral intention. Social Influence has a positive and significant effect on behavioral intention. Facilitating Conditions has a positive and insignificant effect on behavioral intention. Hedonic Motivation has a positive and insignificant effect on behavioral intention. Price Value has a positive and insignificant effect on behavioral intention. Habit has a positive and significant effect on behavioral intention. Use behavior is a partial mediation for the habit variable on the behavioral intention of SIMRS RSUD Kota Mataram. Use behavior becomes a full mediation for the facilitating conditions variable on the behavioral intention of SIMRS RSUD Kota Mataram because the Specific Indirect Effect Bootstrapping shows significant results and the Path Coefficient Bootstrapping also shows insignificant results.

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References

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.

Abu-Al-Aish, A. (2013). Factors Influencing Students’ Acceptance of M-learning: An Investigation in Higher Education. International Review of Research in Open and Distance Learning, 14(5), 82–107. https://doi.org/10.19173/irrodl.v14i5.1631

Aclan, lim Habib. 2016. Pengaruh Kemampuan Penggunaan Sistem Informasi,

Keterlibatan Pemakai dalam Proses Pengembangan, Dukungan Pimpinan

Bagian, dan Program Pendidikan dan Pelatihan Pemakai Terhadap Kinerja

Sistem Informasi Akutansi Bandung. e-Proccecing Of Management. Vol.3,

No.3.

Aditama, T. Y. (2016). Manajemen Administrasi Rumah Sakit. Universitas Indonesia.

Alamsyah, K. 2016. Kebijakan Publik (Konsep dan Aplikasi). Media Citra Mandiri Press.

Althunibat, A. (2015). Determining the Factors Influencing Students’ Intention to Use M-Learning in Jordan Higher Education. Computers in Human Behavior, 52(Query date: 2022-05-10 17:45:25), 65–71. https://doi.org/10.1016/j.chb.2015.05.046

Alwahaishi, S. (2013). Consumers’ Acceptance and Use of Information and Communications Technology: A UTAUT and flow based theoretical model. Journal of Technology Management and Innovation, 8(2), 61–73. https://doi.org/10.4067/s0718-27242013000200005

Budi, S. C. 2011. Manajemen Unit Kerja Rekam Medis. Yogyakarta: Quantum Sinergis Media.

Cao, Q. (2019). Integrating Context-Awareness and UTAUT to Explain Alipay User Adoption. International Journal of Industrial Ergonomics, 69(Query date: 2022-05-10 17:45:25), 9–13. https://doi.org/10.1016/j.ergon.2018.09.004

Chao, C. (2019). Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model. Frontiers in Psychology, 10(Query date: 2022-05-10 17:45:25). https://doi.org/10.3389/fpsyg.2019.01652

Chen, J. (2011). The Effects of Education Compatibility and Technological Expectancy on e-Learning Acceptance. Computers and Education, 57(2), 1501–1511. https://doi.org/10.1016/j.compedu.2011.02.009

Curtis, M. (2008). An Examination of Contextual Factors and Individual Characteristics Affecting Technology Implementation Decisions in Auditing. International Journal of Accounting Information Systems, 9(2), 104–121. https://doi.org/10.1016/j.accinf.2007.10.002

Dwi. 2017. Analisis Lokasi Rumah Sakit Gigi dan Mulut Universitas Muhammadiyah Semarang di Wilayah Kedungmundu Terhadap Perspektif Pelanggan. Magna Medica. Bagian Ilmu Kesehatan Gigi dan Mulut, Fakultas Kedokteran

Dwivedi, Y. K. (2016). A Generalised Adoption Model for Services: A Cross-Country Comparison of Mobile Health (m-Health). Government Information Quarterly, 33(1), 174–187. https://doi.org/10.1016/j.giq.2015.06.003

Dwivedi, Y. K. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y

El-Masri, M. (2017). Factors affecting the adoption of e-learning systems in Qatar and USA: Extending the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Educational Technology Research and Development, 65(3), 743–763. https://doi.org/10.1007/s11423-016-9508-8

Fui? Hoon Nah, F., Lee? Shang Lau, J., & Kuang, J. 2021. Critical Factors for Successful Implementation of Enterprise Systems. Business Process Management Journal, 7(3), 285–296.

Jeng, D. (2012). Social Influence on the use of Clinical Decision Support Systems: Revisiting the Unified Theory of Acceptance and Use of Technology by the fuzzy DEMATEL technique. Computers and Industrial Engineering, 62(3), 819–828. https://doi.org/10.1016/j.cie.2011.12.016

Glandon, G. L., Smaltz, D. H., Slovensky, D. J., & Boxerman, S. B. (2018). Austin and Boxerman’s Information Systems for Healthcare Management.

Hafizurrachman, H. M. (2012). Kebijakan Keperawatan Berbasis Kinerja di RSU Tangerang. Jurnal Manajemen Pelayanan Kesehatan.

Hakam, F. 2016. Analisis, Perancangan Dan Evaluasi Sistem Informasi

Kesehatan. Yogyakarta: Goyen Publishing.

Hakam, F. 2017. Analisis Sistem Dan Teknologi Informasi Sebagai Acauan Dalam Perancangan Rencana Strategis Sistem Informasi Dan Teknologi Informasi (RENSTRA SI/TI) Di Rumah Sakit Islam Yogyakarta PDHI. JSI: Jurnal Sistem Informasi (E-Journal), 9(1).

Handoyo, E. 2018. Aplikasi Sistem Rumah Sakit Berbasis Web Pada Sub Sistem Farmasi Menggunakan Framework Prado. Vol. 7, No. 1.

Hutagalung, D. D. (2018). Evaluasi Kinerja Sistem Informasi Pasien Rawat Jalan Klinik Husada Menggunakan Pieces Frame Work. Esit. 11(2), 1–10.

Kemenkes, RI. 2016. Pedoman Penyelenggaraan dan Prosedur Rekam Medis Rumah

Sakitdi Indonesia Revisis II. Jakarta: Direktoral Jendral Bina Pelayanan Medis.

Kohnke, A. (2014). Incorporating UTAUT Predictors for Understanding Home Care Patients’ and Clinician’s Acceptance of Healthcare Telemedicine Equipment. Journal of Technology Management and Innovation, 9(2), 29–41. https://doi.org/10.4067/S0718-27242014000200003

Kusbaryanto, K. (2015). Peningkatan Mutu Rumah Sakit Dengan Akreditasi. Mutiara Medika: Jurnal Kedokteran dan Kesehatan, 1(1).

Laudon, K. C., & Laudon, J. P. (2015). Management Information Systems, organization and Technology in The Networked Enterpise. Prentice-Hall, New Jersey, USA.

Lee, J. H. (2013). Effects of trust and perceived risk on user acceptance of a new technology service. Social Behavior and Personality, 41(4), 587–597. https://doi.org/10.2224/sbp.2013.41.4.587

Lin, C. P. (2008). Learning Online Social Support: An Investigation of Network Information Technology Based on UTAUT. Cyberpsychology and Behavior, 11(3), 268–272. https://doi.org/10.1089/cpb.2007.0057

Markus, S. N. (2011). Master Plan Pengembangan Sistem Informasi Manajemen Rumah Sakit. Yogyakarta: Politeknik Kesehatan Permata Indonesia.

Matthew B. Miles, Huberman, Michael, & Johnny Saldaña. 2014. Qualitative Data Analysis (H. Salmon (ed.); 3rd ed.). SAGE.

Meutia, A., Darwiyanto, E., & Suwawi, D. D. J. 2016. Perencanaan Strategis Sistem Informasi Rumah Sakit Dengan Metode Ward And Peppard Serta Implementasi Prototype Modul Rawat Jalan Pada Rumah Sakit Khusus Ibu Dan Anak (rskia) Kota Bandung. EProceedings of Engineering, 3(1).

Muhimmah, I. 2019. Evaluasi Faktor-Faktor Kesuksesan Implementasi Sistem Informasi Manajemen Rumah Sakit di PKU Muhammadiyah Sruweng dengan Menggunakan Metode Hot-Fit. Seminar Nasional Informatika Medis (SNIMed) IV , p. 78.

Muryanti, T., Pinilih, M., & Oktaviana, L. D. (2018). Evaluasi Sistem Informasi Manajemen Rumah Sakit (SIMRS) pada RSIA Bunda Arif Purwokerto Menggunakan Framework COBIT 5. Probisnis, 11(2).

Ngampornchai, A. (2016). Students’ Acceptance and Readiness for e-Learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education, 13(1). https://doi.org/10.1186/s41239-016-0034-x

Novianti. 2013. Analisis Penerapan Sistem Informasi Manajemen Rumah Sakit Menggunakan Metode UTAUT dan TTF.JNTETI. Vol. 2, No. 4.

Odelia, E. M. 2018. Pengembangan Kapasitas Organisasi Melalui Penerapan Sistem Informasi Manajemen Rumah Sakit (SIMRS) Untuk Meningkatkan Mutu Pelayanan Kesehatan di RSUD dr. Mohamad Soewandhie Surabaya. Jurnal Kebijakan Dan Manajemen Publik, 6(1), 1–8.

Patton, S, C. 2016. Basic Methods of Policy Analysis and Planning (3rd ed.). Routledge Taylor and Francis Group.

Petter, S., DeLone, W., & McLean, E. R. (2013). Information Systemssuccess: The quest for the independent variables. Nformation Systems.

Rahman, M. M. (2017). Assessing the Utility of TAM, TPB, and UTAUT for Advanced Driver Assistance Systems. Accident Analysis and Prevention, 108(Query date: 2022-05-10 17:45:25), 361–373. https://doi.org/10.1016/j.aap.2017.09.011

Rustiyanto, E. 2020. Sistem Informasi Manajemen Rumah Sakit Yang Terintegrasi. Yogyakarta: Gosyen Publishing Windu Kinanti,

Sabarguna, Boy S. 2013. Sistem Informasi Manajemen Rumah Sakit. Yogyakarta: Konsorsium.

Saputra, E. 2014. Analisis Penerimaan Sistem Informasi Manajemen Rumah Sakit Umum Daerah Bangkinang Menggunakan Metode Technology Acceptance Model (TAM). Jurnal Sains, Teknologi Dan Industri, 10(2), 229–235.

Sari, M. M., Sanjaya, G. Y. & Meliala, A. 2016. Evaluasi Sistem Informasi Manajemen Rumah Sakit (SIMRS) dengan Kerangka HOT - FIT. Semin. Nas. Teknol. Inf. Inonesia 1, 204– 207 (2016).

Sari, E, R. 2015. Sistem Informasi Administrasi Pasien Rawat Jalan dan Rawat Inap Berbasis Web pada Puskesmas Tanjung Raja. Palembang: Universitas Islam Negeri Raden Patah

Setiaji, H. & Wahid, F. 2015. Masalah Implementasi Sistem Informasi Rumah Sakit: Pelajaran dari Beberapa Proyek. Semin. Nas. Inform. Medis VI 97 (2015).

Setyawan, D. 2016. Analisis Implementasi Pemanfaatan Sistem Informasi Manajemen Rumah Sakit (Simrs) Pada Rsud Kardinah Tegal. Indones. J. Comput. Inf. Technol. 1, 54–61 (2016).

Suherman, D. 2020. Penyelenggaraan E-Goverment di Kabupaten Bandung Sebagai Upaya Meningkatkan Kualitas Pelayanan Publik. Publica: Jurnal Pemikiran Administrasi Negara, 12(2), 101–111. https://doi.org/10.15575/jpan.v12i2.10300

Suyanto, Hidayat Taufiq, I. 2015. Faktor Penghambat Implementasi Sistem Informasi Manajemen Rumah Sakit di RSUD Blambangan Banyuwangi Inhibiting Factors in Hospital Information System Implementation at Blambangan General Hospital Banyuwangi. J. Kedokt. Brawijaya 28, 141–147 (2015).

Topan, M., Wowor, H. F. & Najoan, X. B. N. 2015. Perancangan Sistem Informasi Manajemen Rumah Sakit Berbasis Web Studi Kasus?: Rumah Sakit TNI AU Lanud Sam Ratulangi. E - J. Tek. Inform. 6, 1–6 (2015).

Venkatesh, V. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540

Venkatesh, V. (2012). Consumer Acceptance and use of Information Technology: Extending the Unified Theory of Acceptance and use of Technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. https://doi.org/10.2307/41410412

Venkatesh, V. (2016). Unified Theory of Acceptance and use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428

Yang, K. (2010). Determinants of US Consumer Mobile Shopping Services Adoption: Implications for Designing Mobile Shopping Services. Journal of Consumer Marketing, 27(3), 262–270. https://doi.org/10.1108/07363761011038338

Yang, K. (2013). The Moderating Role of Consumer Technology Anxiety in Mobile Shopping Adoption: Differential Effects of Facilitating Conditions and Social Influences. Journal of Electronic Commerce Research, 14(4), 334–347.

Zhou, T. (2012). Examining Location-Based Services Usage From the Perspectives of Unified Theory of Acceptance and use of Technolog and Privacy Risk. Journal of Electronic Commerce Research, 13(2), 135–144.

Zhou, T. (2010). Integrating TTF and UTAUT to Explain Mobile Banking user Adoption. Computers in Human Behavior, 26(4), 760–767. https://doi.org/10.1016/j.chb.2010.01.013.