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All Journal JURNAL ILMIAH PLATAX Jurnal Akuatiklestari Agritrop : Jurnal Ilmu-Ilmu Pertanian (Journal of Agricultural Science) Jurnal Ruaya : Jurnal Penelitian dan Kajian Ilmu Perikanan dan Kelautan JURNAL PERIKANAN TROPIS Asian Journal of Aquatic Sciences International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) JURNAL SAINS DAN TEKNOLOGI PERIKANAN (JIKAN) International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Riset Rumpun Ilmu Hewani (JURRIH) Journal of Fish Health Jurnal Ruaya : Jurnal Penelitian dan Kajian Ilmu Perikanan dan Kelautan TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Zoologi: Jurnal Ilmu Peternakan, Ilmu Perikanan, Ilmu Kedokteran Hewan Manfish: Jurnal Ilmiah Perikanan dan Peternakan Jurnal Pengabdian kepada Masyarakat Multidisiplin (JUPENGEN) Jurnal Ilmu Pertanian dan Perikanan (PENARIK) Jurnal Perikanan dan Kelautan (PERAUT) Jurnal Pengabdian Masyarakat Indonesia Journal of Integrated Animal and Aquatic Sciences (IGATI)
Destriman Laoli
Universitas Nias
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Social Sciences Veterinary Other

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Transformasi Digital Perikanan Berbasis Artificial Intelligence Untuk Mendukung Pengelolaan Sumber Daya Ikan Berkelanjutan Maestro Laia; Destriman Laoli; Ratna Dewi Zebua; Okniel Zebua
Jurnal Perikanan dan Kelautan Vol. 3 No. 1 (2026): PERAUT - Juni
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/peraut.v3i1.953

Abstract

Digital transformation has become one of the key strategies for supporting sustainable fisheries resource management. This study aims to examine the role of Artificial Intelligence (AI) in improving efficiency, productivity, and effectiveness within the fisheries sector. The research employed a literature review approach by analyzing scientific publications, international organization reports, and related documents on AI applications in capture fisheries, aquaculture, and fisheries supply chains. The findings indicate that AI can enhance the accuracy of fish stock prediction, support the detection of Illegal, Unreported, and Unregulated (IUU) fishing activities, optimize aquaculture systems through automated feeding and disease detection, and improve the efficiency of fisheries product distribution. However, the implementation of AI still faces challenges, including limited digital infrastructure, high investment costs, and insufficient human resource capacity. Overall, AI has significant potential to become an innovative solution for developing a modern, efficient, and sustainable fisheries sector.
Environmental Performance of Fishing Gears Operated in Nias Marine Ecosystems Maestro Laia; Destriman Laoli; Ratna Dewi Zebua; Nistiarni Zebua
Journal of Integrated Animal and Aquatic Sciences Vol. 1 No. 1 (2025): IGATI - Desember
Publisher : CV. SINAR HOWUHOWU

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Abstract

This study evaluated the environmental performance of fishing gears operated in Nias marine ecosystems using indicators of selectivity, bycatch level, habitat interaction, and overall ecological impact. The results demonstrated that fishing gears used by small-scale fishers in Nias vary considerably in their environmental performance. Handlines exhibited the highest environmental performance, characterized by high selectivity, minimal bycatch, and negligible interaction with marine habitats. Fish traps and lift nets showed moderate environmental performance, with generally low to moderate ecological impacts depending on operational practices and fishing locations. Gillnets displayed moderate environmental performance but were associated with higher bycatch rates and greater potential interaction with sensitive habitats, particularly when mesh size and fishing areas were not properly managed. These findings indicate that not all fishing gears contribute equally to ecological pressure in Nias waters. Promoting the use of highly selective and low-impact fishing gears, such as handlines, while improving the design and management of moderate-impact gears, particularly gillnets, is essential for enhancing fisheries sustainability. The study highlights the importance of ecosystem-based fisheries management, supported by appropriate regulations, fisher awareness, and community participation, to ensure the long-term conservation of marine resources and the sustainability of coastal livelihoods in Nias.
Evaluation Of Probiotic Supplementation In Improving Growth Performance, Survival Rate, And Water Quality In Nile Tilapia (Oreochromis Niloticus) Culture Eltrianus Gulo; Vinsensia Buulolo; Destriman Laoli
Journal of Integrated Animal and Aquatic Sciences Vol. 2 No. 1 (2026): IGATI - June
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/igati.v2i1.1813

Abstract

This study aimed to evaluate the effects of probiotic supplementation on growth performance, survival rate, and water quality in Nile tilapia (Oreochromis niloticus) culture. A completely randomized design (CRD) was employed with four dietary treatments consisting of different probiotic supplementation levels: P0 (control without probiotics), P1 (5 mL probiotic/kg feed), P2 (10 mL probiotic/kg feed), and P3 (15 mL probiotic/kg feed), with three replicates per treatment. A total of 240 Nile tilapia fingerlings with an initial average body weight of 10.25 ± 0.48 g were reared for 60 days in fiberglass tanks under controlled culture conditions. The evaluated parameters included final body weight, weight gain, Specific Growth Rate (SGR), Feed Conversion Ratio (FCR), Feed Efficiency (FE), Survival Rate (SR), and water quality parameters, including temperature, pH, dissolved oxygen, ammonia, and nitrite. Data were analyzed using one-way analysis of variance (ANOVA), followed by Duncan's Multiple Range Test (DMRT) at a significance level of p < 0.05. The results demonstrated that probiotic supplementation significantly improved all evaluated parameters compared with the control treatment. The P2 treatment produced the best performance, with a final body weight of 68.57 g, weight gain of 58.33 g, SGR of 3.15% day⁻¹, FCR of 1.24, feed efficiency of 80.37%, and a survival rate of 98.33%. Moreover, probiotic application effectively reduced ammonia concentration to 0.11 mg/L and nitrite concentration to 0.05 mg/L, indicating a substantial improvement in water quality. These findings demonstrate that dietary supplementation with 10 mL probiotic/kg feed is the optimal dosage for improving growth performance, feed utilization, fish survival, and environmental conditions in intensive Nile tilapia culture. Therefore, probiotic supplementation represents a sustainable and environmentally friendly strategy for enhancing aquaculture productivity while reducing dependence on antibiotics and synthetic chemical inputs.
Co-Authors Alfriend John Saotama Halawa Angel Sri Ayu Gea Arismanto Zebua Asokhiwa Zega Betzy Victor Telaumbanua Chairani Hanum Cindy Ardita Telaumbanua Devi Chrisman Lase ELIYUNUS WARUWU Eltrianus Gulo Enjel Delahowuhowu Telaumbanua Fakta Perjuangan Lombu Gea, Angel Sri Ayu Gea, Rosmawati Gulo, Beriman Gulo, Martin Gulo, Selvian Suriani Halawa, Alfriend John Saotama Halawa, Vebriman Jaya Halawa, Vince Kurniawan Henni Syawal Iesje Lukstyowati Januari Dawolo January Dawolo jesika idam kasih zebua Jurisman Waruwu Kalvin Berkat waruwu Berkat waruwu Lase, Rosevelt Cerdas Maestro Laia Martirah Wati Zendrato Mendrofa, Osniwati Mira Rahmita Sari Nelvia Mai Susanti Nistiarni Zebua Okniel Zebua Okniel Zebua Okniel Zebua, Okniel Zebua Otniel Zebua Putra Hidayat Telaumbanua Rahmat Tillah Ridho Victory Nazara Rosevelt Cerdas Lase Roslimah Roslimah Rosmawati Gea Sanora Laia, Dian Agung Telaumabnau, Dara Dwista Telaumbanua, Afred Nobel Telaumbanua, Betzy V. Telaumbanua, Cindy Ardita Telaumbanua, Dara Dwista Telaumbanua, Enjel Delahowuhowu Vebriman Jaya Halawa Vinsensia Buulolo Wawan Setiawan Hulu Yaya Hasanah Yusmei Paskah Harefa Zai, Desniwati Zebua, Arismanto Zebua, Okniel Zebua, Ratna Dewi