Acceptance and Use of the Integrated Service Information System (Silangit) at the Tegal Fisheries Training and Extension Center: The Utaut and Delone-McClean Approaches
DOI:
https://doi.org/10.61132/ijems.v3i3.1295Keywords:
Behavioral Intention, DeLone & McLean, PLS-SEM, SILANGIT, UTAUTAbstract
The implementation of the Integrated Fisheries Services Information System (SILANGIT) at the Tegal Fisheries Training and Extension Center (BPPP) aims to promote the digitization of fisheries training and certification registration. However, users’ utilization of the system has not yet been optimal and continues to face technical and operational challenges. This study aims to analyze the factors influencing Behavioral Intention and Actual Use Behavior of the SILANGIT application by integrating the Unified Theory of Acceptance and Use of Technology (UTAUT) framework and the DeLone & McLean Information Systems Success Model. This quantitative study employed Partial Least Squares-based Structural Equation Modeling (PLS-SEM) using SmartPLS. The sample comprised 386 respondents selected via Proportional Stratified Random Sampling based on the Slovin formula and statistical power thresholds. The results of the hypothesis testing indicate that all direct hypotheses have a positive and significant effect ( ). Social Influence is the most dominant predictor of Behavioral Intention, followed by Effort Expectancy, Information Quality, System Quality, and Performance Expectancy. These five variables collectively explain the variance in Behavioral Intention. Furthermore, Behavioral Intention and Facilitating Conditions were found to have a strong direct effect on Use Behavior. Through Priority Index analysis, active feature exploration was identified as the primary operational gap. The practical implications of this study recommend improving the PTSP Helpdesk services, optimizing the application to make it lighter and more data-efficient, and conducting edutainment-based outreach to encourage optimal and sustainable system usage.
Downloads
References
Barney, J. B., & Hesterly, W. S. (2020). Strategic Management and Competitive Advantage.
Buzin, C. H., Dewhurst, S. A., & Seecof, R. L. (1978). Delone mc lean 6. Developmental Biology, 66(2), 442–456.
DeLone, W. H., & McLean, E. R. (1992). Information Systems Success: The Quest for the Dependent Variable. Information Systems Research, 3(1), 60–95. https://doi.org/10.1287/isre.3.1.60
Mansour, H., Gamal, A., & Abolmahassen, M. (2020). Spin Splitting Spectroscopy of Heavy Quark and Antiquarks Systems. Advances in High Energy Physics, 2020, 1–11. https://doi.org/10.1155/2020/2356436
Mardiana, S., Tjakraatmadja, J. H., & Aprianingsih, A. (2015a). DeLone-Mclean information system success model revisited: The separation of intention to Use - Use and the integration of technology acceptance models. International Journal of Economics and Financial Issues, 5(1978), 172–182.
Mardiana, S., Tjakraatmadja, J. H., & Aprianingsih, A. (2015b). DeLone-Mclean information system success model revisited: The separation of intention to Use - Use and the integration of technology acceptance models. International Journal of Economics and Financial Issues, 5, 172 – 182.
Mason, R. O. (1978). Measuring information output: A communication systems approach. Information & Management, 1(4), 219–234. https://doi.org/10.1016/0378-7206(78)90028-9
Ningsih, N., Abd Rahman, Yasin, M., Djalamang, Z. J., Salim, F. U., Kamal, K., & Wahab, A. (2022). PENGARUH HUMAN CAPITAL DAN EMOTIONAL CAPITAL TERHADAP KINERJA PEGAWAI KANTOR BUPATI KABUPATEN MAMUJU UTARA. Jurnal Ekonomi Trend, 10(2), 17–23. https://doi.org/10.31970/trend.v10i2.249
Puspitasari, I. M., Garnisa, I. T., Sinuraya, R. K., & Witriani, W. (2020).
Perceptions, Knowledge, and Attitude Toward Mental Health Disorders and Their Treatment Among Students in an Indonesian University
. Psychology Research and Behavior Management, Volume 13, 845–854. https://doi.org/10.2147/PRBM.S274337Shannon, C. E., & Weaver, W. (1949). The mathematical theory of communication. In The mathematical theory of communication. University of Illinois Press.
Susantyo, A., Yuldinawati, I., Sugiat, L. ; A., & Maria. (2026). Analyzing Digital Utility App Adoption: A UTAUT Approach on PLN Mobile with Technological Literacy as a Moderator. Advance Sustainable Science, Engineering and Technology (ASSET), 8(1). https://doi.org/10.26877/asset.v8i1.2367
Thabet, S. G., Safhi, F. A., Börner, A., & Alqudah, A. M. (2024). Genetic associations of transgenerational stress memory in wheat under drought stress. Environmental and Experimental Botany, 226, 105920. https://doi.org/10.1016/j.envexpbot.2024.105920
Thabet, Z., Albashtawi, S., Ansari, H., Al-emran, M., Al-sharafi, M. A., & Alqudah, A. A. (2024). Exploring the Factors Affecting Telemedicine Adoption by Integrating UTAUT2 and IS Success Model : A Hybrid SEM – ANN Approach. 71, 8938–8950.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View by Viswanath Venkatesh, Michael G. Morris, Gordon B. Davis, Fred D. Davis :: SSRN. MIS Quarterly, 27(3), 425–478.
Venkatesh, V., Thong, J. Y. L., & Xu, X. (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
Wu, S. Z., Al-Eryani, G., Roden, D. L., Junankar, S., Harvey, K., Andersson, A., Thennavan, A., Wang, C., Torpy, J. R., Bartonicek, N., Wang, T., Larsson, L., Kaczorowski, D., Weisenfeld, N. I., Uytingco, C. R., Chew, J. G., Bent, Z. W., Chan, C.-L., Gnanasambandapillai, V., … Swarbrick, A. (2021). A single-cell and spatially resolved atlas of human breast cancers. Nature Genetics, 53(9), 1334–1347. https://doi.org/10.1038/s41588-021-00911-1
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 International Journal of Economics and Management Sciences

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



