ANALISIS KEBUTUHAN SISTEM CERDAS PENGAWASAN PENANGKAPAN IKAN DI WILAYAH PENGELOLAAN PERIKANAN 711
Abstract
Kegiatan penangkapan ikan secara ilegal (illegal fishing) merupakan salah satu permasalahan pengelolaan perikanan tangkap di Wilayah Pengelolaan Perikanan Negara Republik Indonesia (WPPNRI) 711 yang meliputi Selat Karimata, Laut Natuna, dan Laut China Selatan. Sementara itu, terdapat keterbatasan Pemerintah Indonesia dalam pengawasan penangkapan ikan, salah satunya belum didukung dengan teknologi terintegrasi dan memanfaatkan kecerdasan buatan (artificial intelligence). Untuk itu perlu adanya sistem pengawasan berbasis kecerdasan buatan yang akan meningkatkan efektivitas dan efisiensi pengawasan. Penelitian bertujuan untuk mengetahui dan menganalisis kebutuhan sistem cerdas pengawasan penangkapan ikan di WPPNRI 711 sebagai alternatif rekomendasi bagi pemangku kepentingan terkait. Penelitian menggunakan analisis situasional dan analisis kebutuhan untuk melihat kondisi objektif terkini aspek teknologi pengawasan penangkapan ikan di WPPNRI 711. Berdasarkan hasil penelitian, maka sistem cerdas pengawasan yang dibutuhkan, yaitu sistem yang mampu menganalisis dugaan pelanggaran secara cepat dan akurat serta menyampaikan peringatan dini pelanggaran kepada nakhoda/pemilik kapal.
Illegal fishing activities are one of the problems with capture fisheries management in the Indonesian Fisheries Management Area (WPPNRI) 711 which includes the Karimata Strait, Natuna Sea, and South China Sea. Meanwhile, there are limitations of the Indonesian government in fishing surveillance, one of which is not supported by integrated technology and utilizing artificial intelligence. For this reason, there is a need for an artificial intelligence-based surveillance system that will increase the effectiveness and efficiency of surveillance. The research aims to determine and analyze the need for a smart fishing surveillance system at WPPNRI 711 as an alternative recommendation for relevant stakeholders. The research uses situational analysis and needs analysis to see the current objective conditions of the technological aspect of fishing surveillance at WPPNRI 711. Based on the research results, the smart surveillance system needed can analyze suspected violations quickly and accurately and provide early warnings of violations of the ship's captain/owner.
Keywords
Full Text:
PDFReferences
Amin, M. (2020). Sistem Cerdas Kontrol Kran Air Menggunakan Mikrokontroler Arduino dan Sensor Ultrasonic. InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan, 2, 1–5.
Artha, O. O., Rahmadya, B., & Putri, R. E. (2018). Sistem Peringatan Dini Bencana Longsor Menggunakan Sensor Accelerometer dan Sensor Kelembabapan Tanah Berbasis Android. Journal of Information Technology and Computer Engineering, 2(02), 64–70. https://doi.org/10.25077/jitce.2.02.64-70.2018
Budianto, S., Purbayanto, A., Wiryawan, B., Wisudo, S. H., Riyanto, M., & Elvitrasyah, T. (2022). Promoting sustainable fisheries: the policies and actions on combating illegal fishing in the North Natuna Sea of Indonesia. AACL Bioflux, 15(5), 2253–2262. Retrieved from https://doi.org/10.47016/15.3
Darwinto, S., Lukman, M., & Mawardi. (2016). Efektivitas Regulasi dan Pelaksanaan Pengawasan Sumber Daya Perikanan (Studi Pada Unit Pelaksana Teknis Stasiun PSDKP Pontianak). Jurnal Nestor Magister Hukum Universitas Tanjungpura, Vol 3 No 3, 1–10.
Daud, P., Heriana, O., Rahman, A. N., Pristianto, E. J., Mahmudin, D., Wijayanto, Y. N., Armi, N. (2015). Concept development of integrated monitoring system model to support activities monitoring in the border region. International Conference on Smart Sensors and Application (ICSSA), 60–64. https://doi.org/10.1109/ICSSA.2015.7322511
Dirhamsyah, D., Umam, S., & Arifin, Z. (2022). Maritime law enforcement: Indonesia’s experience against illegal fishing. Ocean and Coastal Management, 229(May 2021), 106304. https://doi.org/10.1016/j.ocecoaman.2022.106304
Enguehard, R. A., Devillers, R., & Hoeber, O. (2013). Comparing interactive and automated mapping systems for supporting fisheries enforcement activities-a case study on vessel monitoring systems (VMS). Journal of Coastal Conservation, 17(1), 105–119. https://doi.org/10.1007/s11852-012-0222-3
FAO. (1995). Code of Conduct for Responsible Fisheries. In Food and Agriculture Organizations of the United Nations. https://doi.org/10.1163/9789004215627_011
Flewwelling, P., Cullinan, C., Balton, D., Sautter, R. P., & Reynolds, J. E. (2002). Recent trends in monitoring , control and surveillance system for capture fisheries. In FAO. Fisheries Technical Paper. Retrieved from http://www.fao.org/docrep/005/y4411e/y4411e00.htm
Gözalan, A., John, O., Lübcke, T., Maier, A., Reimann, M., Richter, J. G., & Zverev, I. (2020). Assisting Maritime Search and Rescue (SAR) Personnel with AI-Based Speech Recognition and Smart Direction Finding. Journal of Marine Science and Engineering, 8(10), 1–13. https://doi.org/10.3390/jmse8100818
Gunawan, G., Purbayanto, A., & Solihin, I. (2021). The compliance level of purse seine fleet toward fishing regulation at Nizam Zachman fishing port, Jakarta. AACL Bioflux 14(1):570-579., 14(1), 570–579.
Hardani, Andriani, H., Ustiawati, J., Utami, E. F., Istiqomah, R. R., Fardani, R. A., Auliya, N. H. (2020). Buku Metode Penelitian Kualitatif dan Kuantitatif (Cetakan I,; H. Abadi, Ed.). CV. Pustaka Ilmu Group Yogyakarta.
Krisnafi, Y., Hascaryo Iskandar, B., Wisudo, S. H., & Haluan, J. (2017). Penentuan Prioritas Wilayah Kerja Untuk Peningkatan Pengawasan Perikanan di WPPNRI 711 (Vol. 8). https://doi.org/https://doi.org/10.29244/jmf.8.2.211-221
Kurnia, I. (2021). Law Enforcement Againts Illegal Fishing in Natuna Waters During the COvid-19 PandemicC. Res Nullius Law Journal, 3(2), 179–196. https://doi.org/10.34010/rnlj.v%vi%i.5273
Kusumadewi, S. (2003). Artificial Intelligence (Teknik dan Aplikasinya). Yogyakarta: Penerbit Graha Ilmu, Yogyakarta.
Nurani, T. W., Wisudo, S. H., & Mustaruddin. (2019). Metodologi Pendekatan Sistem: Penerapan Kajian Perikanan Tangkap. Bogor (ID): IPB Press. Bogor (ID): PB Press.
Nurhakim, S. (2017). Implikasi Iuu Fishing Dalam Pengelolaan Sumber Daya Ikan Di Indonesia. Jurnal Kebijakan Perikanan Indonesia, 1(1), 61. https://doi.org/10.15578/jkpi.1.1.2009.61-66
Septiana, L., Nusa, S., Jakarta, M., Kramat, J., 18, R. N., & Pusat, J. (2016). Perancangan Sistem Pakar Diagnosa Penyakit Ispa Dengan Metode Certainty Factor Berbasis Android. Jurnal TECHNO Nusa Mandiri, XIII(2), 89.
Setiawan, N. (2005). Pengolahan dan Analisis Data. In Departemen Pendidikan Nasional. Diklat Metodologi Penelitian Sosial. Departemen Pendidikan Nasional.
Soemarmi, A., Indarti, E., Pujiyono, P., Azhar, M., & Wijayanto, D. (2020). Teknologi Vessel Monitoring System (Vms) Sebagai Strategi Perlindungan Dan Pembangunan Industri Perikanan Di Indonesia. Masalah-Masalah Hukum, 49(3), 303–313. https://doi.org/10.14710/mmh.49.3.2020.303-313
Sriwana, I. K. (2016). Rancang Bangun Model Rantai Pasok Agroindustri Kakao Bekelanjutan Dengan Menggunakan Sistem Cerdas.
Sulistianingsih, I., Suherman, S., & Pane, E. (2019). Aplikasi Peringatan Dini Cuaca Menggunakan Running Text Berbasis Android. It Journal Research and Development, 3(2), 76–83. https://doi.org/10.25299/itjrd.2019.vol3(2).1997
Tukan, M., & Lumaksono, H. (2019). Development Of Intelligent Decision Support Systems (IDSS) For Optimization Of Fisheries Surveillance Vessel in FMA-711. 2(Mastic), 246–258. https://doi.org/10.23977/mastic.026
Umam, S., Ma’arif, S., & Zulbainarni, N. (2023). The influence illegal fishing surveillance policies on marine fisheries business. Indonesian Journal of Multidisciplinary Science, 3(2), 139–144. https://doi.org/10.55324/ijoms.v3i2.727
Wahab, A., Waseso, B., & Pranoto, H. (2021). Synchronization of Catch Fish Data in Fisheries e-Logbook with a Vessel Monitoring System. International Journal of Advanced Technology in Mechanical, Mechatronics and Materials, 2(1), 46–54. https://doi.org/10.37869/ijatec.v2i1.43
DOI: http://dx.doi.org/10.15578/jkpi.16.2.2024.125-134
Jurnal Kebijakan Perikanan Indonesia is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
View My Stats
p-ISSN 1979-6366
e-ISSN 2502-6550
