JMO App User Behavior Analysis with Theory of Planned Behavior (Case Study: Jambi City Community)
DOI:
https://doi.org/10.35145/icobima.v2i1.3526Keywords:
Analysis, Behavior, Application, JMO Jamsostek Mobile, Theory of Planned BehaviorAbstract
Jamsostek Mobile application is an application as an information service feature for Employment BPJS policies which can be accessed online, one of its features is a simulation of JHT and Pension Guarantee (JP) balances. The purpose of this study is to analyze user behavior in using JMO – Jamsostek Mobile application and to find out which variables have the most influence and have the highest value compared to other variables. The method used in this study is Theory of Planned Behavior (User Behavior Theory) which is an extension of Theory of Reasoned Action (TRA) aims to look at user behavior in JMO – Jamsostek Mobile application which focuses on 5 variables, in the form of 3 independent variables namely attitude toward behavior, subjective norm, perceived behavioral control) and 2 dependent variables namely behavioral intention and behavior. The population were the people of Jambi City where the number of respondents obtained from distributing questionnaires via Google Form was 384 respondents and this data analysis technique used SmartPLS. the results of hypothesis testing have a strong level of relationship that the independent variable has an influence on the dependent variable.
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References
Amela, W. R., Lubis, A. H., & Sabrina, H. (2019). Penggunaan Theory of Planned Behavior untuk Menganalisis Niat Perilaku Milenial dalam Belanja Daring melalui Aplikasi Instagram. JBMI (Jurnal Bisnis, Manajemen, dan Informatika), 16(2), 210–230. https://doi.org/10.26487/jbmi.v16i2.7671
Antika, T. R., Umar, A., Andriani, K., & Rahmadani, P. (2020). ANALISIS KEMAMPUAN MENULIS TEKS EKSPLANASI SISWA KELAS VII SMP NEGERI 1 LABUHAN DELI TAHUN PEMBELAJARAN 2019/2020.
Fanulene, T. D., & Soediantono, D. (n.d.). Manajemen Rantai Pasok Pada Industri Pertahanan di Era Industri 4.0 dan Digital. Journal of Industrial Engineering, 3(4).
Fitriyana, V., Lutfi Hakim, Dian Candra Rini Novitasari, & Ahmad Hanif Asyhar. (2023). Analisis Sentimen Ulasan Aplikasi Jamsostek Mobile Menggunakan Metode Support Vector Machine. Jurnal Buana Informatika, 14(01), 40–49. https://doi.org/10.24002/jbi.v14i01.6909
Kurnia, D. (2017). ANALISIS SIGNIFIKANSI LEVERAGE DAN KEBIJAKAN DEVIDEN TERHADAP NILAI PERUSAHAAN. 4(2).
Lusiana, D., & Nugroho, A. B. (2023). Analisis Faktor-faktor yang Mempengaruhi Penerimaan dan Penggunaan Aplikasi Jamsostek Mobile Online (JMO) dengan Model Unified Theory of Acceptance and Use of Technology (UTAUT). Sainteks, 20(1), 95. https://doi.org/10.30595/sainteks.v20i1.17137
Maharani, N. P. J., Hoediansyah, M. E., Salsabilla, Y., & Fauzan, M. (2022). ANALISIS PERILAKU MAHASISWA DALAM MELAKUKAN BELANJA ONLINE MELALUI APLIKASI TIKTOK MENGGUNAKAN THEORY OF PLANNED BEHAVIOUR.
Mewengkang, N. N., & Tangkudung, J. P. M. (2016). DAMPAK TEKNOLOGI SMARTPHONE TERHADAP PERILAKU ORANG TUA DI DESA TOUURE KECAMATAN TOMPASO.
Rosario B, M., Istoningtyas, M., & Febrianti, F. (2021). ANALISIS KUALITAS WEBSITE SAMSAT JAMBI MENGGUNAKAN METODE DELONE AND MCLEAN. Rabit : Jurnal Teknologi dan Sistem Informasi Univrab, 6(2), 138–144. https://doi.org/10.36341/rabit.v6i2.1743
Sakdiyah, L., Effendi, R., & Kustono, A. S. (2019). Analisis Penerimaan Penggunaan E-Learning dengan Pendekatan Theory of Planned Behavior (TPB) pada Mahasiswa Akuntansi Universitas Jember. e-Journal Ekonomi Bisnis dan Akuntansi, 6(2), 120. https://doi.org/10.19184/ejeba.v6i2.11151
Yulius, R. (2017). Analisis Perilaku Pengguna dalam Pembelian Item Virtual pada Game Online. Journal of Animation & Games Studies, 3(1), 1. https://doi.org/10.24821/jags.v3i1.1582
