PENYELESAIAN MASALAH TRANSPORTASI FUZZY MENGGUNAKAN METODE ADVANCED APPROXIMATION : Studi Kasus: Pendistribusian Liquefied Petroleum Gas

    Zahra Ananda Putri, - and Khusnul Novianingsih, - and Al Azhary Masta, - (2025) PENYELESAIAN MASALAH TRANSPORTASI FUZZY MENGGUNAKAN METODE ADVANCED APPROXIMATION : Studi Kasus: Pendistribusian Liquefied Petroleum Gas. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Adanya persaingan pasar yang semakin kompetitif, mengakibatkan terjadinya tekanan pada perusahaan agar dapat menemukan cara untuk berinovasi menjadi lebih baik lagi, seperti bagaimana mengirimkan barang kepada pelanggan dengan biaya pengiriman yang optimal menjadi tantangan tersendiri. Penelitian ini membahas masalah transportasi yang merupakan salah satu permasalahan optimisasi, dengan tujuan utama untuk meminimumkan biaya transportasi dari berbagai sumber ke sejumlah tujuan. Pada penelitian ini, biaya transportasi, jumlah permintaan, dan jumlah penawaran diasumsikan tidak pasti, sehingga digunakan bilangan fuzzy trapesium sebagai pendekatan untuk menangani ketidakpastian tersebut. Untuk menyelesaikan model dari masalah transportasi fuzzy, digunakan metode advanced approximation (AAM). Metode tersebut dapat menyelesaikan masalah transportasi fuzzy tidak seimbang tanpa mengubahnya menjadi masalah transportasi fuzzy seimbang. Penyelesaian dilakukan melalui tahapan defuzzifikasi, reduksi biaya fuzzy, perhitungan penalty, serta alokasi berdasarkan biaya minimum hingga diperoleh solusi optimal. Penelitian ini membangun model optimisasi untuk masalah transportasi fuzzy dan mengimplementasikannya pada sebuah studi kasus yang berfokus pada salah satu agen pendistribusian Liquefied Petroleum Gas (LPG) di Kecamatan Bojongsoang. Hasil implementasi menunjukkan total waktu pengiriman minimum, yaitu 633,167 menit, dengan 13 iterasi. Hasil tersebut menunjukkan bahwa AAM dapat memberikan solusi optimal dalam menyelesaikan masalah transportasi fuzzy yang tidak seimbang dari pengalokasian tersebut. The increasing competitiveness of the market has resulted in pressure on companies to find ways to innovate further, such as how to deliver goods to customers with optimal shipping costs, which presents its own challenges. This study discusses the transportation problem, which are one of the optimization issues, with the main purpose is minimizing transportation costs from various sources to multiple destinations. In this study, transportation costs, demand quantities, and supply quantities are assumed to be uncertain, thus trapezoidal fuzzy numbers are used as an approach to address this uncertainly. To solve the model of fuzzy transportation problem, the Advanced Approximation Method (AAM) is used. This method can solve unbalanced fuzzy transportation problem without converting it into the balanced fuzzy transportation problem. The solution process involves several staged, including defuzzification, fuzzy costs reduction, penalty calculation, and allocation based on minimum costs until an optimal solution is achieved. This research builds an optimization model for fuzzy transportation problem and implements it in a case study focusing on the distribution of Liquefied Petroleum Gas (LPG) in Bojongsoang. The implementation results show a minimum total delivery time of 633.167 minutes, with 13 iterations. The result indicates that AAM can provide an optimal solution in addressing unbalanced fuzzy transportation problem.

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    Official URL: https://repository.upi.edu/
    Item Type: Thesis (S1)
    Additional Information: https://scholar.google.co.id/citations?hl=id&user=xen7oFgAAAAJ ID SINTA Dosen Pembimbing: Khusnul Novianingsih: 258640 Al Azhary Masta: 6007709
    Uncontrolled Keywords: Masalah Transportasi Fuzzy, Advanced Approximation Method, Bilangan Fuzzy Trapesium, Optimisasi, Pendistribusian Gas LPG. Fuzzy Transportation Problem, Advanced Approximation Method, Trapezoidal Fuzzy Numbers, Optimization, LPG Distribution.
    Subjects: H Social Sciences > HE Transportation and Communications
    Q Science > QA Mathematics
    T Technology > T Technology (General)
    T Technology > TA Engineering (General). Civil engineering (General)
    Divisions: Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Matematika - S1 > Program Studi Matematika (non kependidikan)
    Depositing User: Zahra Ananda Putri
    Date Deposited: 12 Aug 2025 02:02
    Last Modified: 12 Aug 2025 02:02
    URI: http://repository.upi.edu/id/eprint/135432

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