The Quality Analysis of SIINas Information System in Jakarta Using Technology Acceptance Model Method
DOI:
https://doi.org/10.34288/jri.v7i4.404Keywords:
SIINas, SEM, TAMAbstract
This study aims to evaluate the service quality of the National Industrial Information System (SIINas) application as a reporting medium for industrial companies to the Ministry of Industry of the Republic of Indonesia. The evaluation was conducted using the Technology Acceptance Model (TAM) approach analyzed through the Structural Equation Modeling (SEM) method based on Partial Least Squares (PLS) using SmartPLS. This model tests the relationship between four main constructs, namely Perceived Ease of Use, Perceived Usefulness, Behavioral Intention, and Use Behavior. Data were collected from 188 companies in the DKI Jakarta area that use the SIINas application through a Likert-based questionnaire. The test results show that Perceived Ease of Use has a significant effect on Perceived Usefulness (β = 0.902; p = 0.000) and Behavioral Intention (β = 0.383; p = 0.018), while Perceived Usefulness also has a significant effect on Behavioral Intention (β = 0.487; p = 0.02). Furthermore, Behavioral Intention has a positive influence on Use Behavior (β = 0.189; p = 0.003). However, the R² value for the Use Behavior construct is only 0.036, indicating a low level of variation explained by the model. This finding suggests that perceived usefulness and ease of use contribute to user intention, but do not fully impact actual usage behavior.
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Adeyemi, I. O., & Issa, A. O. (2020). Integration of Information System Success Model (ISSM) and Technology Acceptance Model (TAM): Proposing Students’ Satisfaction with University Web Portal Model. Record and Library Journal, 6(1), 69–79. https://doi.org/10.20473/rlj.V6-I1.2020.69-79
Agustina, P. A., & Sugiarti, H. (2024). Structural Equation Modeling for the Influence of Effectiveness, Lifestyle, and Income Level on the Use of E-Wallet Services by Urban Workers’. Jurnal Ilmiah Sains, 24(April), 70–79. https://doi.org/10.35799/jis.v24i1.54458
Andy, R., Dewi, A. C., & As’adi, M. (2021). An Empirical Study to Validate The Technology Acceptance Model (TAM) In Evaluating “Desa Digital” Applications. IOP Conference Series: Materials Science and Engineering, 1125(1), 012055. https://doi.org/10.1088/1757-899x/1125/1/012055
Annas, S., Ruliana, R., & Sanusi, W. (2022). Structural Equation Modeling for Analyzing the Technology Acceptance Model of Students in Online Teaching During the Covid-19 Pandemic. Media Statistika, 15(1), 104–115. https://doi.org/10.14710/medstat.15.1.104-115
Antoro, B. (2024). Analisis Penerapan Formula Slovin Dalam Penelitian Ilmiah: Kelebihan, Kelemahan, Dan Kesalahan Dalam Perspektif Statistik. Jurnal Multidisiplin Sosial Dan Humaniora, 1(2), 53–63. https://doi.org/10.70585/jmsh.v1i2.38
F.D., D. (1986). A Technology Acceptance Model For Empirically Testing New End-User Information Systems: Theory And Results. Massachusetts Institute of Technology.
Febrianti, D., Hariadi, B., & Baridwan, Z. (2019). Techology Acepptance Model Sebagai Prediktor Penggunaan SIMDA. Jrak, 9(1), 46–63. https://doi.org/10.22219/jrak.v9i1.43
Hair, J. F., Hult, G. T., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2023). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. In Structural Equation Modeling: A Multidisciplinary Journal (Vol. 30, Issue 1). https://doi.org/10.1080/10705511.2022.2108813
Harsanto, W. A., Matondang, N., & Wibowo, R. P. (2023). The Use of Technology Acceptance Model (TAM) to Analyze Consumer Acceptance Towards E-Commerce Websites. A Case of the Plantage.id Digital Transformation Solution. Journal of Environmental and Development Studies, 4(2), 206–213. https://doi.org/10.32734/jeds.v4i2.13144
Hutomo, F. W. (2023). Technology Acceptance Model (TAM) methodology system analysis on mobile banking users. Journal of Earth Kingdom, 1(1), 26–37. https://doi.org/10.61511/jek.v1i1.2023.32
Nanda Senja Rachmadini, D., Tri Nugraha, J., Gratiano Mali, M., & Fadlurrahman. (2025). Acceptance Analysis of The Use of The iMagelang Application at Magelang City Library Using The Technology Acceptance Model. Social Science Studies, 5(3), 200–221. https://doi.org/10.47153/sss53.17832025
Naufal, O. R., Muhafidin, D., & Susanti, E. (2022). Pemberdayaan Industri Kecil Dan Menengah Klaster Makanan Dan Minuman Oleh Pemerintah Kota Cimahi. JANE - Jurnal Administrasi Negara, 14(1), 80. https://doi.org/10.24198/jane.v14i1.41268
Oktavendi, T. W., & Arisanti, I. (2021). How To Build Continuance Intention On Jenius App Users. TIJAB (The International Journal of Applied Business), 5(2), 155. https://doi.org/10.20473/tijab.v5.i2.2021.29776
Permatasari, C. L., Dian, S., Prajanti, W., Kristen, U., Wacana, S., & Semarang, U. N. (2018). Acceptance of financial accounting information system atsSchools: technology acceptance model. Journal of Economic Education, 7(52), 109–120. http://journal.unnes.ac.id/sju/index.php/jeec
Perwitasari, A. W. (2022). The Effect of Perceived Usefulness and Perceived Easiness towards Behavioral Intention to Use Fintech by Indonesian MSMEs. The Winners, 23(1), 1–9. https://doi.org/10.21512/tw.v23i1.7078
Prihantono, V. R., & S, H. S. (2025). Pengelolaan Industri Di Jawa Timur Melalui Integrasi Data Oss Dan Siinas Dengan Single Sign-On. JATI Jurnal Mahasiswa Teknik Informatika, 9(1), 808–815.
Rahadi, D. R. (2023). Pengantar Partial Least Squares Structural Equation Model (PLS-SEM) 2023. CV. Lentera Ilmu Madani, Juli, 146.
Rohmatulloh, I. H., & Nugraha, J. (2022). Penggunaan Learning Management System di Pendidikan Tinggi Pada Masa Pandemi Covid-19: Model UTAUT. Jurnal Pendidikan Administrasi Perkantoran (JPAP), 10(1), 48–66. https://doi.org/10.26740/jpap.v10n1.p48-66
Santika, A. A., Saragih, T. H., & Muliadi, M. (2023). Penerapan Skala Likert pada Klasifikasi Tingkat Kepuasan Pelanggan Agen Brilink Menggunakan Random Forest. Jurnal Sistem Dan Teknologi Informasi (JustIN), 11(3), 405. https://doi.org/10.26418/justin.v11i3.62086
Suleiman, S., Sani, M., & Goga, A. U. (2023). Application of Technology Acceptance Model in Examining Students’ Behavioural Intention to Use Virtual Meeting Technology: A Partial Least Squares Structural Equation Modeling Approach. Asian Journal of Probability and Statistics, 25(3), 99–107. https://doi.org/10.9734/ajpas/2023/v25i3566
Tikaromah, O., Nurjanah, N., Yahya, A., & Hidayat, T. (2025). Technology Acceptance Model dalam Mendorong Intention to use pada Sistem Informasi Akuntansi. Jurnal Akuntansi Bisnis Pelita Bangsa, 9(02), 246–256. https://doi.org/10.37366/akubis.v9i02.2278
Tyana, I. D., Widiharih, T., & Utami, I. T. (2023). Analisis Pengaruh Kualitas Pelayanan Terhadap Kepuasan Penumpang Brt Trans Semarang Menggunakan Partial Least Square (Pls) (Studi Kasus: Mahasiswa Universitas Diponegoro). Jurnal Gaussian, 11(4), 591–604. https://doi.org/10.14710/j.gauss.11.4.591-604
Utami, A. W., & Fatrianto, D. F. (2022). Technology Acceptance Model Untuk Analisis penerimaan Pengguna Manajemen Pembelajaran Berbasis Online"Google Classroom"Pada Masa Pandemi Covid-19. Journal of Information Engineering and Educational Technology, 6(1), 15–20. https://doi.org/10.26740/jieet.v6n1.p15-20
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (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
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