CD Skripsi

Optimalisasi penugasan pekerja panen sawit menggunakan mixed integer goal programming

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Palm oil production is greatly influenced by the efficiency of assigning harvest workers to each block of land. Suboptimal assignments can lead to an imbalance in workload and a decline in cooperative profits. This final project discusses the optimization of palm oil harvest worker assignments using the Mixed Integer Goal Programming (MIGP) approach. This model is designed to solve scheduling problems in land allocation for harvest workers at the Sumber Rezeki Cooperative. The model considers two objectives, namely maximizing profit and minimizing deviation, with constraints in the form of working hours, block capacity, and number of workers. Analytically, the model is formulated in the form of a mixed integer goal program and solved using the Python programming language. The computational results show that the optimal profit obtained is twice as large as the target or actual profit of the cooperative, and produces an optimal land allocation for each oil palm harvesting worker. This shows that the MIGP model is effective in increasing the efficiency of worker assignment and cooperative profits

Keywords: Worker assignment, palm oil, mixed integer goal programming, optimization, profit

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2103111404

Penerbit

Pekanbaru : Universitas Riau FMIPA Matematika., 2025

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2103111404

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

MATEMATIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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