DISTRIBUTION ROUTE ANALYSIS WITH SAVING MATRIX METHOD IN DETERMINING HOT MIX ASPHALT (HMA) DISTRIBUTORS

Muhammad Fachry Hafid, Muhammad Dahlan, Nurhayati Rauf, Takdir Alisyahbana, Rahmaniah Malik

Abstract

The Gorontalo Regency Public Works Department is responsible for a road construction program, in this case, the Public Works Department will conduct project auctions from several existing road projects and there will be one contractor company that will get an auction, where the contractor will produce asphalt in one of the Asphalt companies. Mixing Plant (AMP). The asphalt distribution process of course has routes and distribution costs where this needs to be optimized to get efficient planning in the distribution process, in the project data of the Public Works Department in 2022 there are five road projects and in the Gorontalo Regency area there are five (5) Asphalt Mixing Plants ( AMPs). Distribution is one part of the activities of Supply Chain Management which distributes goods and services from producers to consumers. The idealism of distribution is to distribute or deliver the right amount and type of product at the right time and place at the lowest possible cost to generate maximum profit. The Vehicle Routing Problem (VRP) is related to determining the route for the problem of distributing goods or products involving more than one vehicle with a certain capacity to serve some customers with their respective requests. The results of this study found that the determination of the distribution route of hot mix asphalt with the saving matrix method found that, the Otopade-Liyoto Project (F1) with 1,639 Ton Asphalt Demand, the selected asphalt distributor was (F0-E) PT.PETRA with a distance of 14.4 Kilometers with a total cost of Rp42,508,800. Project (F2) road project Construction of the Buhu - Iloponu Perintis road with an asphalt demand of 609 tons, the selected asphalt distributor is (F0A) PT. Cahaya Nusa Sulutarindo with a distance of 9.6 Kilometers with a Total Cost of Rp 11,712,000. Project (F3) Pilomonu – Pasir Putih road with 763 Ton Asphalt Demand, the selected asphalt distributor is (F0-E) PT.PETRA with a distance of 38.1 Kilometers with a total cost of Rp52,806,600. Project (F4) of Molohu – Langge road with 656 Tons of Asphalt Demand, the selected asphalt distributor is (F0-E) PT.PETRA with a distance of 42.4 kilometers with a total cost of Rp 50,371,200. For the project (F5) of the Helume Bihe - Sukamaju road with an asphalt demand of 1,564 Tons, the selected asphalt distributor is (F0-E) PT.PETRA with a distance of 32.6 Kilometers with a total cost of Rp 92,127,600.

 

Keywords: Distribution, Supply Chain Management, Vihicle Routing Problem, Asphalt Mixing Plant, Hot Mix Asphalt, Direct Shipment, Routes, Cost

Keywords

Distribution, Supply Chain Management, Vihicle Routing Problem, Asphalt Mixing Plant, Hot Mix Asphalt, Direct Shipment, Routes, Cost

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References

Afrizal Miradji, M. (2014). Analisis Supply Chain Management Pada Pt. Monier Di Sidoarjo. Jurnal Keseimbangan Ekonomi, Bisnis, Manajemen Dan Akuntansi, 10(19), 63–82.

Arifudin, A., Wisnubroto, P., & Parwati, C. I. (2016). Optimalisasi Vehicle Routing Problem Dengan Pendekatan Metode Saving Matrix dan Clarke & Wright Saving Heuristic. Jurnal Rekavasi, 4(2), 60–118.

Chapple, C., & Cownie, F. (2020). Pengaruh Penggunaan Pasta Labu Kuning (Cucurbita Moschata) Untuk Substitusi Tepung Terigu Dengan. Pengaruh Penggunaan Pasta Labu Kuning (Cucurbita Moschata) Untuk Substitusi Tepung Terigu Dengan Penambahan Tepung Angkak Dalam Pembuatan Mie Kering. Jurnal Ekonomi & Bisnis, 1(2), 274–282.

Fitri, S. R. (2015). Optimasi Jalur Distribusi Produk Dengan Menggunakan Metode Saving Matrix Untuk Penghematan Biaya Operasional. Jurnal Valtech, 1(1), 103–109.

Giroth, M. I., Sendow, T. K., & Palenewen, S. C. N. (2019). Perbandingan Kriteria Marshall pada Campuran Aspal Panas ( AC-WC ) yang Menggunakan Asbuton Modifikasi ( Retona Blend

) dengan Aspal Penetrasi 60 / 70 ( Studi Kasus : Penggunaan Material Agregat dari Kema Sulawesi Utara ). Jurnal Sipil Statik, 7(11), 1547–1556.

Hamka, Akhmad Qashlim, S. (2017). Sistem Informasi Geografis Kawasan Bencana Alam Kabupaten Polewali Mandar Dengan Google Maps. Jurnal Ilmiah Ilmu Komputer, 3(2), 21–27.

Ikhsan, A. N., Oesman, T. I., & Yusuf, M. (2016). Optimalisasi Distribusi Produk Menggunakan Daerah Penghubung dan Metode Saving Matrix. Jurnal Rekavasi, 4(2), 60–118.

Lambajang, A. (2013). Analisis Perhitungan Biaya Produksi Menggunakan Metode Variabel Costing PT. Tropica Cocoprima. Jurnal Riset Ekonomi, Manajemen, Bisnis Dan Akuntansi, 1(3), 673–683.

Malue, J. (2006). Analisis Penerapan Target Costing Sebagai Sistem Pengendalian Biaya Produksi Pada PT.Celebes Mina Pratama. Jurnal EMBA, 1(3), 949–957.

Mangindaan, A. K. P. W. S. M. J. (2016). Analisis Biaya Menurut Variable Costing Untuk Pengambilan Keputusan Menerima Atau Menolak Pesanan Khusus Pada Perusahaan Kue Bangket Tokin. Bulletin of the Seismological Society of America, 106(1), 1–9.

Marfuah, U., & Oktaviani, A. (2015). Analisis Perencanaan Sistem Transportasi dan Penyediaan Komponen Lokal dengan Metode Saving Matrix untuk Wilayah Cikarang di PT. XYZ. Jurnal Prosiding Semnastek, 13, 1–10.

Muhammad Sholeh, S. P. (2014). Aplikasi Mobile Pencari Masjid Dan Mushola Di Wilayah Daerah Istimewa Yogyakarta Dengan Google Maps. Jurnal Pontificia Universidad Catolica Del Peru, 8(33), 39–44.

Paillin, D. B., & Kaihatu, F. M. (2018). Implementasi Metode Saving Matrix Dalam Penentuan Rute Terbaik Untuk Meminimumkan Biaya Distribusi (UD. Roti Arsita). Jurnal Arika, 12(2), 123–140.

Permana, R., & Marwan, M. (2021). Analisis Kualitas Proses Produksi Asphalt Mixing Plant (AMP) Di PT. XYZ Untuk Mengurangi Defect Dengan Menggunakan Metode Six Sigma. IESM Journal Industrial, 1(2), 115–125.

Pongantung, A. K. (2016). Analisis Biaya Menurut Variable Costing Untuk Pengambilan Keputusan Menerima Atau Menolak Pesanan Khusus Pada

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