Persepsi Generasi Muda Terhadap Penerapan Teknologi Internet Of Things (IoT) Dalam Akuakultur: Studi Pada Mahasiswa Ilmu Perikanan
DOI:
https://doi.org/10.25181/marshela.v4i1.4886Kata Kunci:
Akuakultur, Perikanan, IoT, TAM, Generasi MudaAbstrak
Perkembangan teknologi Internet of Things (IoT) dalam bidang akuakultur menawarkan potensi besar dalam meningkatkan efisiensi dan produktivitas perikanan. Namun, adopsi teknologi ini sangat bergantung pada persepsi generasi muda, khususnya mahasiswa perikanan sebagai calon praktisi masa depan. Penelitian ini bertujuan untuk menganalisis persepsi generasi muda khususnya mahasiswa perikanan terhadap penerapan teknologi IoT dalam akuakultur menggunakan kerangka teori Technology Acceptance Model (TAM). Survei dilakukan terhadap 478 mahasiswa Ilmu Perikanan, Universitas Sultan Ageng Tirtayasa. Data dikumpulkan menggunakan kuesioner skala Likert yang mencakup tiga konstruk: Perceived Usefulness (PU), Perceived Ease of Use (PEOU), dan Behavioral Intention (BI). Hasil penelitian menunjukkan rata-rata skor PU sebesar 4,003±0,541, PEOU sebesar 3,555±0,525, dan BI sebesar 3,749±0,549, yang mengindikasikan persepsi positif. Uji reliabilitas menunjukkan nilai Cronbach's alpha PU sebesar 0,874, PEOU sebesar 0,854, dan BI sebesar 0,880, yang menunjukkan konsistensi internal yang tinggi. Analisis korelasi menunjukkan hubungan positif signifikan antara PU–BI (r = 0,553), PEOU–BI (r = 0,592), dan PEOU–PU (r = 0,407). Temuan ini mengindikasikan bahwa mahasiswa perikanan memiliki persepsi positif terhadap teknologi IoT dalam akuakultur dan niat yang kuat untuk menggunakannya dalam praktik perikanan di masa depan.Unduhan
Referensi
Aldana, S. S., Rahman, M. H. N., Budiman, M. I., & Karna, N. (2025). An IoT-Based Automated Feed Dispensing System for Pond-Scale Aquaculture. Int. Conf. Cyber IT Serv. Manag., CITSM. 13th International Conference on Cyber and IT Service Management, CITSM 2025. https://doi.org/10.1109/CITSM67730.2025.11291573
Arrang, H., Wee, S. Y., Bin Bahaman, N., & Rusdi, J. F. (2025). Perceived Usefulness and Perceived Ease of Use as Predictors of Attitude Toward IoT Adoption Among Rice Farmers. International Journal of Advanced Computer Science and Applications, 16(9), 362–370. https://doi.org/10.14569/IJACSA.2025.0160935
Bhushan, A., Aimen Fathima, S., & Shanthala, P. T. (2024). Aquaculture IoT Security Landscape: A Comprehensive Analysis of Threats and Mitigation Strategies. Proc. - Int. Conf. Intell. Commun. Technol. Virtual Mob. Networks, ICICV, 587–593. https://doi.org/10.1109/ICICV62344.2024.00099
Bwambale, E., Abagale, F. K., & Anornu, G. K. (2022). Smart irrigation monitoring and control strategies for improving water use efficiency in precision agriculture: A review. Agricultural Water Management, 260, 107324. https://doi.org/10.1016/j.agwat.2021.107324
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Management Information Systems Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Gao, L., & Bai, X. (2014). A unified perspective on the factors influencing consumer acceptance of internet of things technology. Asia Pacific Journal of Marketing and Logistics, 26(2), 211–231. https://doi.org/10.1108/APJML-06-2013-0061
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (Eighth edition). Cengage.
Hashim, H. S., Hassan, Z. B., & Mohd Drus, S. B. (2022). Internet of Things: A systematic Literature Review. Informatica (Slovenia), 46(8), 135–146. https://doi.org/10.31449/inf.v46i8.4311
Jang, S.-H., & Yu, C. H. (2017). A study on internet of things (IoT): Users’ reuse intention using technology acceptance model in Korea. International Journal of Business and Management Science, 7(2), 279–295.
Kathuria, S., Rawat, P., Kumar, G. R., Singh, B., & Taneja, A. (2024). Amalgamation of Technologies for Smart Monitoring of Sustainable Aquaculture. Int. Conf. Smart Devices, ICSD. International Conference on Smart Devices, ICSD 2024. https://doi.org/10.1109/ICSD60021.2024.10751351
Liew, C. S., Ang, J. M., Goh, Y. T., Koh, W. K., Tan, S. Y., & Teh, R. Y. (2017). Factors influencing consumer acceptance of internet of things technology. In The Internet of Things: Breakthroughs in Res. And Pract. (pp. 71–86). https://doi.org/10.4018/978-1-5225-1832-7.ch004
Mostafa, T., Youssief, N., Labib, H., & Elsabry, E. (2024). Impact of IOT Technology on Aquaculture Industry. Egyptian Journal of Aquatic Biology and Fisheries, 28(5), 1281–1297. https://doi.org/10.21608/ejabf.2024.384134
Pal, D., Jana, S., & Roy, N. (2025). Water Quality Prediction in Aquaculture (WQPA) Using Machine Learning and Internet of Things. In Chaki R., Cortesi A., DasGupta S., & Saha S. (Eds.), Smart Innov. Syst. Technol. (Vol. 433, pp. 589–598). https://doi.org/10.1007/978-981-96-1348-9_43
Prapti, D. R., Mohamed Shariff, A. R., Che Man, H., Ramli, N. M., Perumal, T., & Shariff, M. (2022). Internet of Things (IoT)-based aquaculture: An overview of IoT application on water quality monitoring. Reviews in Aquaculture, 14(2), 979–992. https://doi.org/10.1111/raq.12637
Pusat Data Statistik dan Informasi. (2023). Statistik Perikanan Indonesia 2022. Kementerian Kelautan dan Perikanan Republik Indonesia.
Rodríguez, M. C. B., González, C. E. M., Almanza, E. D. C., Rodríguez, C. G., Regino-Vergara, J. Á., & López-Padilla, A. (2025). Benefits and challenges of the internet of things in aquaculture production: A literature review. Frontiers in Sustainable Food Systems, 9. https://doi.org/10.3389/fsufs.2025.1590153
Samha, A. K., Alshelaly, E. E., Alswaigh, N. Y., & Alshammri, G. H. (2021). Applied internet of things in Saudi Arabia aquaculture system. In Tomar G.S. (Ed.), Proc. - IEEE Int. Conf. Commun. Syst. Netw. Technol., CSNT (pp. 442–447). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/CSNT51715.2021.9509649
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information
Technology: Toward A Unified View1. Management Information Systems Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Yadrovskaya, M. V., Porksheyan, M. V., & Sinelnikov, A. A. (2021). Prospects of IoT technology. Advanced Engineering Research (Rostov-on-Don), 21(2), 207–217. https://doi.org/10.23947/2687- 1653-2021-21-2-207-217
Zul Azlan, Z. H., Junaini, S. N., Khan, A. S., Mustafa, W. A., & Ghasemzadeh, B. (2025). University Students’ Perspectives on Adopting Internet of Things Technologies in Smart Farming: An Analysis Using the Extended Technology Acceptance Model. Human Behavior and Emerging Technologies, 2025(1). https://doi.org/10.1155/hbe2/3858988
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