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Sustainable Optimization of Fertilizer Distribution in Palm Oil Plantations Using Tabu Search Nasirly, Riri; Ramadhani, Siti Dinar Rezki; Azizah, Nurul Qolbi El
AJARCDE (Asian Journal of Applied Research for Community Development and Empowerment) Vol. 10 No. 1 (2026)
Publisher : Asia Pacific Network for Sustainable Agriculture, Food and Energy (SAFE-Network)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29165/ajarcde.v10i1.988

Abstract

Fertiliser distribution in palm oil plantations poses a complex Vehicle Routing Problem (VRP) due to dispersed customer locations, limited vehicle capacity, and high transportation costs. While metaheuristic approaches such as Genetic Algorithms (GA) and Ant Colony Optimisation (ACO) are widely used, they typically require extensive parameter tuning and are computationally intensive. The use of Tabu Search in practical plantation logistics, especially under capacity constraints, has been relatively limited. This study aims to optimize fertilizer distribution routes at PT. XYZ using a Tabu Search algorithm. An initial feasible solution is generated using the Nearest Neighbour method and subsequently improved through neighbourhood exploration with tabu memory. The model is implemented in MATLAB 2016 and utilizes operational data, including distance matrices, customer demand, and vehicle capacity constraints. The results indicate a reduction in total travel distance from 4,287 km to 3,618.5 km. Diesel consumption decreases by 15.59%, from 714.5 to 603.08 liters, resulting in cost savings of IDR 757,633. This reduction corresponds to approximately 298 kg of CO2 emissions avoided, thereby supporting more sustainable agricultural logistics. These outcomes contribute directly to climate change mitigation (SDG 13) and promote sustainable resource utilization (SDG 12). Collectively, the findings highlight the effectiveness of Tabu Search as a practical and sustainable optimization method for fertilizer distribution in palm oil plantations.    Contribution to Sustainable Development Goals (SDGs):SDG 12: Responsible Consumption and ProductionSDG 13: Climate Action   
Penerapan Algoritma Simulated Annealing pada Proses Penentuan Rute Distribusi Cabai di Kota Yogyakarta Lukman Adhitama; Siti Dinar Rezki Ramadhani
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 19 No. 3 (2025): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2025.v19i3.001

Abstract

Cabai merah merupakan komoditas penting yang dapat menunjang perekonomian dan kebutuhan pangan masyarakat. Oleh sebab itu, kepedulian instansi pertanian agar masyarakat mampu berswadaya untuk menanam cabai pun tinggi. Hal ini ditunjukkan dengan pemberian bantuan benih tanaman cabai kepada pemerintah Kota Yogyakarta untuk diberikan kepada sejumlah kelompok tani di wilayah tersebut. Bantuan tanaman benih cabai akan dilakukan secara continue maka dari itu penentuan rute distribusi yang optimal diperlukan untuk dapat menjaga kualitas bibit yang disalurkan. Penelitian ini menggunakan metode Simulated Annealing (SA) untuk menentukan rute terpendek dalam proses distribusi bibit cabai. Hasil yang diperoleh dari penentuan rute distribusi dengan menggunakan metode Simulated Annealing (SA) yang menerapkan 3 kombinasi parameter dan replikasi sebanyak 5 kali menunjukkan hasil terbaik berupa rute dengan total jarak tempuh yaitu 26,14 km dengan estimasi waktu distribusi yaitu 1 jam 12 menit. Hasil tersebut diperoleh dari penerapan parameter Simulated Annealing (SA) dengan nilai suhu awal (T0) = 50, suhu akhir (TF) = 0,001 dan koefisien pendinginan (α) = 0,99 pada replikasi ke 2. Dengan hasil ini maka jika diterapkan dalam kasus distribusi bibit cabai akan membuat proses pengirimannya menjadi lebih cepat karena memiliki jarak yang minimal.