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All Journal J@TI (TEKNIK INDUSTRI) Journal of Engineering and Management in Industrial System BAREKENG: Jurnal Ilmu Matematika dan Terapan Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Jurnal i tabaos
Sahar, Dian Pratiwi
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Physics Public Health Transportation

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TUNA SUPPLY CHAIN RISK ANALYSIS IN THE BANDA NEIRA ISLANDS Sahar, Dian Pratiwi; Afifudin, Mohammad Thezar
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 2 (2025): In Process
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

The Banda Sea waters contribute significantly to tuna production in Maluku. The fishing community of the Banda Neira Islands uses this zone as their main source of income. This significant contribution needs to be supported by development efforts through research and innovation. Until now, research on the tuna supply chain from the Banda Neira archipelago is particularly rare. This research seeks to provide comprehensive, micro-level information on the mapping of tuna supply chain risks in Indonesia, particularly in Maluku, that has been reviewed by several researchers. Several supply chain risk management (SCRM) methods, including 5-why analysis, supply chain risk identification (SCRI), and house of risk (HOR), were used in this study. The results indicate that the actors involved in the Banda Neira tuna supply chain include fishermen, cold storage, ship plan, and miniplan. Fishermen play a role in fishing operations, while cold storage, ship plan, and miniplan serve as buyers, processors, and ship plans/distributors to other regions. In the tuna supply chain, 11 risk events were identified, caused by 23 risk agents/factors. The two highest-ranking factors, in order of highest risk, were the lack of ice availability and high operational costs. Both factors had a cumulative percentage ratio of aggregate risk potential reaching 55.33%. This indicates that the tuna supply chain in the Banda Neira is still influenced by the performance of fishing operations (fishermen). To mitigate the 11 risk events, 22 preventive measures/actions are required.
OPTIMASI RUTE DISTRIBUSI LOGISTIK PENJAGAAN INSTALASI MENARA SUAR PADA KANTOR DISTRIK NAVIGASI TIPE A KELAS I AMBON Cahyani, Khadijah Dwi; Sahar, Dian Pratiwi; Mandaku, Hanok
i tabaos Vol 5 No 2 (2025): In Progress
Publisher : Fakultas Teknik Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/i-tabaos.2025.5.2.78-84

Abstract

Studi ini mengaplikasikan Travelling Salesman Problem with Multiple Time Windows pada masalah distribusi logistik pada Kantor Distrik Navigasi Tipe A Kelas I Ambon. Logistik disalurkan ke beberapa menara suar yang berlokasi di sebelas (11) pulau terpisah, dengan tujuan meminimasi waktu pengiriman (makespan). Masalah dimodelkan dengan menggunakan pendekatan Mixed Integer Linear Programming. Kendala Time Windows dilihat pada syarat waktu tiba kapal disetiap Menara Suar, diantara jam 10.00 sampai 16.00. Berdasarkan hasil pemrograman dengan perjalanan menggunakan kecepatan 10 knot per jam meunjukkan nilai objective value sebesar 251,9000 atau rute pendistribusian dapat dilaksanakan selama 10 hari 4 jam. Kemudian, menggunakan kecepatan 9 knot per jam meunjukkan nilai objective value sebesar 273,5000 atau rute pendistribusian dapat dilaksanakan selama 11 hari 3 jam. Selain itu menggunakan kecepatan 8 knot per jam meunjukkan nilai objective value sebesar sebesar 296,3750 atau rute pendistribusian dapat dilaksanakan selama 12 hari 3 jam. Kondisi aktual yang Kantor Distrik Navigasi Tipe A Kelas I Ambon untuk distribusi logistik adalah 14 hari untuk kecepatan 8 knot per jam. Setelah dialakukan running menggunakan pemrograman LINGO mendapatkan waktu selama 12 hari 3 jam, sehingga TSP-MTW untuk distribusi logistik pada Kantor Distrik Navigasi Tipe A Kelas I Ambon dapat dinggap efektif.
Co-Authors A. Besse Riyani Indah Affifudin, Mohammad Thezar Afifudin, M. Thezar Afifudin, Mohammad Thezar Asmal, Sapta Cahyani, Khadijah Dwi Hadijah, A. Nurul Izzah Hanafi, Rosmalina Handoyo, Mutmainah Hanok Mandaku Husni, Shindi Jufri Jufri Junaidi Junaidi Kifayah Amar Maitimu, Nil E. Maitimu, Nil Edwin Marcus Tukan Mohammad Thezar Afifudin Muhammad Rusman Muspida, Muspida Sakti, Fajriani Salatin, Achmad S. Sekewael, Fabio Juleon Soleman, Aminah Syamsul Bahri Usman, Ceril Malurny