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All Journal Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Jurnal Kelautan Tropis Omni-Akuatika Jurnal Abdi Insani ARIKA Pattimura Proceeding : Conference of Science and Technology Amanisal: Jurnal Teknologi dan Manajemen Perikanan Tangkap
J.B. Paillin
Jurusan Pemanfaatan Sumberdaya Perikanan Universitas Pattimura
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Physics

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Trends and Future Directions of Artificial Intelligence and Machine Learning in Supply Chain Risk Management Daniel Bunga Paillin; Jacobus Bunga Paillin
ARIKA Vol 20 No 1 (2026): ARIKA
Publisher : Industrial Engineering Study Program, Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/arika.2026.20.1.35

Abstract

This study aims to map development trends, knowledge structures, and future research directions for AI and machine learning in supply chain risk management. This study uses a bibliometric approach with data taken from Scopus for the period 2016–March 2026. Analysis was conducted through keyword co-occurrence, network visualization, overlay visualization, and density visualization using VOSviewer. The results show that publications on artificial intelligence and machine learning in supply chain risk management have increased significantly, especially after 2021. The most dominant core themes include artificial intelligence, machine learning, supply chain, and supply chain resilience.In contrast, more recent emerging themes include predictive analytics, digital transformation, digital twins, big data, blockchain, and federated learning. These findings indicate a shift in research focus from an analytical approach to a more predictive, adaptive, and data-driven approach. This study confirms that the integration of artificial intelligence and machine learning in supply chain risk management still has significant room for improvement, particularly in end-to-end implementation, explainability, and digital technology integration.
HASIL TANGKAPAN IKAN ARMADA PENGGUNA E-LOGBOOK YANG BEROPERASI DI PELABUHAN PERIKANAN NUSANTARA AMBON Indah Z. Hintjah; Delly D.P. Matrutty; Jacobus B. Paillin; Abraham M. O. Sabandar
Amanisal: Jurnal Teknologi dan Manajemen Perikanan Tangkap Vol 12 No 1 (2023): Amanisal: Jurnal Teknologi dan Manajemen Perikanan Tangkap
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/amanisalv12i1p42-48

Abstract

Pelaporan data hasil tangkapan dan aktivitas armada penangkapan ikan melalui aplikasi e-loog book diwajibkan bagi setiap armada tangkap >5 GT sesuai Peraturan Menteri Kelautan dan Perikanan nomor 33 Tahun 2021. Akan tetapi banyak armada diduga belum menggunakan aplikasi e-log book dalam melaporkan aktivitasnya di laut. Tujuan penelitian ini adalah: mendeskripsikan jenis dan jumlah armada penangkapan ikan pengguna log book maupun e log book yang mendaratkan hasil tangkapannya di PPN Ambon dan membandingkan hasil tangkapan armada pengguna log book dan e-log book di PPN Ambon. Pengambilan data dilakukan dengan cara observasi dan wawancara. Data diperoleh dari nahkoda, nelayan dan petugas pencatat data di PPN Ambon. Data dianalisis secara deskriptif kualitatif dengan bantuan program exel. Hasil analisa menunjukkan bahwa dari 513 armada penangkapan ikan yang beroperasi di PPN Ambon, hanya 88 armada dengan kapasitas >5 GT yang melaporkan aktivitas penangkapan menggunakan logbook, yakni armada pancing tonda, purse seine, pole and line dan pancing ulur, dan 32 diantaranya melaporkan aktivitas penangkapannya melalui aplikasi e-logbook. Produksi yang dihasilkan dari armada pengguna e-log book lebih tinggi dibandingkan pencatatan/pelaporan melalui log book secara manual.
Penerbitan SKPI sebagai Indikator Ekspor Hasil Tangkapan Madidihang di PPN Ambon Ruslan H. S. Tawari; Stany R. Siahainenia; Jacobus B. Paillin; Jesica S. Sarimolle
Amanisal: Jurnal Teknologi dan Manajemen Perikanan Tangkap Vol 12 No 2 (2023): AMANISAL: Jurnal Teknologi dan Manajemen Perikanan Tangkap
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/amanisalv12i2p56-63

Abstract

The Fish Landing Certificate (SKPI) is an indicator for small-scale fishermen in exporting their catch. In accordance with article 2 of Permen No.13/MEN/2012 SKPI is an instrument derived from SHTI which aims to facilitate trade activities to eradicate IUU Fishing and ensure traceability of fish catches and ensure the conservation of sustainable management of fisheries resources. This study aims to analyze the amount of yellowfin tuna production based on fishing time and fishing area (DPI), analyze trends and distribution patterns of yellowfin tuna exports based on SKPI data at the Ambon Archipelago Fishery Port. Methods Data collection was carried out through observation and interviews with quantitative descriptive analysis and trend analysis. The results showed that the highest amount of yellowfin tuna production based on DPI was in WPP 715 and the fishing area with the least production was in WPP 718. The percentage of development trends in production of yellowfin tuna catches based on SKPI data showed that the highest percentage of production was in August and the lowest percentage of production was in May. Furthermore, for the flow of distribution of tuna exports from small-scale fishermen, they usually take care of the SKPI directly at the Ambon PPN harbor. After the required documents have been validated for completeness, the harbormaster will immediately issue an SKPI. After requirements documents are validated furthermore used to be sent to America, Vietnam and Japan.
Hasil Tangkapan Mini Pure Seine Di Perairan Teluk Ambon Luar Dan Selatan Pulau Ambon Jacobus Bunga Paillin; Friesland Tuapetel; Stany R. Siahainenia
Amanisal: Jurnal Teknologi dan Manajemen Perikanan Tangkap Vol 12 No 2 (2023): AMANISAL: Jurnal Teknologi dan Manajemen Perikanan Tangkap
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/amanisalv12i2p71-77

Abstract

A purse seine is an active fishing gear used by fishermen in Ambon Island to catch small pelagic fish that gather in high abundance, although the information is still limited. The purpose of this research is to determine the species composition and size distribution of the catch from the mini purse seine in the waters of Outer Ambon Bay (TAL) and South Ambon Island (SPA). From the results of this research, there are four types in TAL waters and two types in SPA. In TAL, the captured fish species were Decapterus sp (Scad), Selar sp (Selar), Sardinella sp (Sardine), and Rastreliger sp (Mackerel). Sardine had the highest catch percentage at 28.41%, followed by scad (25.28%), mackerel (23.27%), and selar (23.04%). In the SPA waters, only scad (Decapterus sp) and selar (Selar sp) were found, with catch percentages of 57.83% and 42.17%, respectively. The average size distribution of scad caught with the mini purse seine in TAL waters was 16.62 cm, selar (17.22 cm), sardine (13.36 cm), and mackerel (17.34 cm). In SPA waters, the average size distribution of scad was 17.59 cm, and selar (16.63 cm).
KOMPARASI JUMLAH HASIL TANGKAPAN JARING INSANG DASAR PADA DAERAH KARANG DAN LAMUN DI DESA LEBETAWI, KOTA TUAL Jacobus Bunga Paillin; Haruna Haruna; Kedswin G. Hehanussa; Frentje Silooy
Amanisal: Jurnal Teknologi dan Manajemen Perikanan Tangkap Vol 13 No 1 (2024): Amanisal: Jurnal Teknologi dan Manajemen Perikanan Tangkap
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/amanisalv13i1p19-27

Abstract

Bottom gillnet is a fishing gear which is operated in the morning, afternoon, and evening in the waters around Lebetawi Village. However, there is limited information about the specific composition of catch, especially the differences of catch between coral and seagrass areas. The aim of this study is to compare the number of catches from coral and seagrass areas and how the fish were first caught. The research was conducted for two months, from December 2023 to January 2024, in the waters of Lebetawi Village, Tual City, Southeast Maluku Regency. Data was collected from precisely observation on bottom gillnet aperated at seagrass and coral habitatss. The catches consisted of 18 species, with total 220 individuals fish and weight 34,161.18 grams. Throughout the fishing operations at both habitats, all demersal and pelagic fish were captured by way of gilled and wedged.
Co-Authors Abraham M. O. Sabandar Agustinus Tupamahu Barbara Grace Hutubessy Daniel Bunga Paillin Debora A. Kayadoe Delly D.D.P. Matrutty Delly D.P. Matrutty Delly Dominggas Paulina Matrutty Delly Dominggas Paulina Matrutty F. D Silooy Frentje Silooy Friesland Tuapetel Hadi Hermansyah Haruna Haruna Haruna Haruna Hehanussa, Kedswin Gerson Indah Z. Hintjah Jesica S. Sarimolle Juliana Tuhumury K Rutumalessy M Kaledupa Michael Jonathan Mochammad Riyanto Putri Talahatu Rifan Dikromo Ruslan Husen Saban Tawari S. R. Siahainenia Selfi Sangadji Stany R Siahainenia Stany R. Siahainenia Welem Waileruny Welem Waileruny