OPTIMASI RUTE DISTRIBUSI SAYUR DI PT. SAYURAN SIAP SAJI MENGGUNAKAN METODE GOAL PROGRAMMING

Tiara Skilla Amelia, Hagni Wijayanti, Ani Andriyati

Abstract


Determining distribution routes to serve customers is one of the important problems in a goods distribution company. PT. Sayuran Siap Saji is a company that produces and distributes fresh vegetables to various places, especially Jakarta, Bogor, Tangerang, and Bekasi. The Vehicle Routing Problem (VRP) model is a mathematical model that can solve the problem of distributing goods in a transportation system to find travel routes with a minimum travel distance. One approach to solving the VRP model is goal programming which is used in optimization problems with many objectives. This research aims to find the optimal distribution route. The data used is customer address data and customer request data from 2 to 7 August 2021. The results obtained by using the VRP model with a goal programming approach can find optimal distribution routes, showing a reduction in travel distance (7.91%), time travel (11.56%), and travel costs (8.72%) compared to the company's distribution route.


Keywords


distribution, goal programming, optimal routes, vehicle routing problems

References


Widyastiti, M., Kamila, I. 2020. Penentuan Rute Optimal pada Pengangkutan Sampah di Kota Bogor Menggunakan Vehicle Routing Problem. PRISMA, Prosiding Seminar Nasional Matematika. Vol. 3.

Kristina, S., Sianturi, R. D., Husnadi, R. 2020. Penerapan Model Capacitated Vehicle Routing Problem (CVRP) menggunakan Google Or-Tools untuk Penentuan Rute Pengantaran Obat pada Perusahaan Pedagang Besar Farmasi (PBF). Jurnal Telematika, 15(2), 101-106.

Irawan, W. 2019. Implementasi Model Capacitated Vehicle Routing Problem With Time Windows dengan Pendekatan Goal Programming pada Penentuan Rute Terbaik Distribusi Barang. Skripsi. Fakultas Sains dan teknologi, UIN Syarif Hidayatullah, Jakarta.

Rahmawati, V. E., Subchan, Mudjiati, T. 2012. Pendekatan Goal Programming untuk Penentuan Rute Kendaraan pada Kegiatan Distribusi. Journal Of Mathematics and Its Applications. 9(1): 1-15. http://dx.doi.org/10.12962/j1829605X.v9i1.2120

Tamrin, A. H. 2013. Kajian Rute Kendaraan Angkut Pendistribusian BBM Menggunakan Pendekatan Goal Programming. Skripsi. Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Brawijaya, Malang.

Kuka, F., Katili, M. R., Payu, M. R. F. 2021. Pendekatan Goal Programming untuk Rute Pengangkutan Sampah. Journal of Mathematics Education, Science and Technology. 6(1): 43-54. http://doi.org/10.30651/must.v6i1.6349

Fauziyah. 2016. Penerapan Metode Goal Programming untuk Mengoptimalkan Beberapa Tujuan pada Perusahaan dengan Kendala Jam Kerja, Permintaan dan Bahan Baku. Jurnal Matematika MANTIK. 2(1): 52-59.

Putri, Y. E., Astuti, Y. P. 2017. Analisis Keoptimalan Keuangan Bank menggunakan Goal Programming (Studi Kasus Data Bank BTN). Jurnal Ilmiah Matematika. 3(6): 134-141. https://doi.org/10.26740/mathunesa.v5n3

Ristianasari, E. D. 2017. Optimasi Distribusi Pupuk menggunakan Metode Goal Programming. Skripsi. Fakultas Teknologi Informasi, Institut Teknologi Sepuluh Nopember, Surabaya.


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DOI: 10.33751/interval.v4i1.10841 Abstract views : 55 views : 43

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