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All Journal Jurnal Ekonomi & Bisnis PNJ (JEKBIS PNJ) IJCIT (Indonesian Journal on Computer and Information Technology) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Riset Informatika Akrab Juara : Jurnal Ilmu-ilmu Sosial Journal of Banua Science Education Reputasi: Jurnal Rekayasa Perangkat Lunak Profitabilitas Conten : Computer and Network Technology J-Intech (Journal of Information and Technology) Society: Jurnal Pengabdian Masyarakat Informatics and Computer Engineering Journal Jurnal Pengabdian Pada Masyarakat Justika : Jurnal Sistem Informasi Akuntansi Jurnal Pemikiran dan Pengembangan Pembelajaran SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi Journal of Information Technology
Endang Wahyudi
Universitas Bina Sarana Informatika
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OPTIMASI RUTE DISTRIBUSI LOGISTIK MENGGUNAKAN ALGORITMA GENETIKA BERBASIS GOOGLE MAPS API UNTUK EFISIENSI BIAYA OPERASIONAL Baidawi, Taufik; Kuswara, Heri; Wahyudi, Endang; Haryanto, Haryanto
CONTEN : Computer and Network Technology Vol. 5 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v5i2.11584

Abstract

Distribusi merupakan aktivitas logistik yang memakan biaya operasional terbesar dalam rantai pasok. Permasalahan yang sering dihadapi oleh perusahaan distribusi adalah penentuan rute pengiriman yang masih dilakukan secara manual berdasarkan intuisi pengemudi, sehingga mengakibatkan jarak tempuh yang tidak optimal, pemborosan bahan bakar, dan pembengkakan biaya operasional. Penelitian ini bertujuan untuk membangun model optimasi rute distribusi menggunakan pendekatan Vehicle Routing Problem (VRP) yang diselesaikan dengan Algoritma Genetika. Kebaruan dalam penelitian ini terletak pada integrasi Google Maps API untuk mendapatkan data jarak dan waktu tempuh yang akurat (real-time) sebagai basis perhitungan fitness function, bukan sekadar jarak Euclidean (garis lurus). Metode penelitian meliputi pengembangan sistem, simulasi rute, dan analisis komparatif biaya. Hasil pengujian menunjukkan bahwa rute yang dihasilkan oleh sistem mampu memperpendek total jarak tempuh sebesar 38,3% (setara dengan 26,3 km per rute) dibandingkan rute eksisting. Dari sisi manajerial, optimasi ini berkontribusi pada efisiensi biaya operasional sebesar Rp 1.195.975 per truk per bulan. Penelitian ini merekomendasikan penerapan sistem otomatisasi rute sebagai strategi manajemen untuk meningkatkan efisiensi logistik dan daya saing perusahaan.   Distribution is a logistics activity that accounts for the largest operational costs in the supply chain. A common problem faced by distribution companies is route determination which is still done manually based on driver intuition, resulting in suboptimal travel distances, fuel wastage, and inflated operational costs. This study aims to build a distribution route optimization model using the Vehicle Routing Problem (VRP) approach solved by Genetic Algorithms. The novelty of this research lies in the integration of Google Maps API to obtain accurate (real-time) distance and travel time data as the basis for fitness function calculations, rather than just Euclidean (straight line) distances. The research method includes system development, route simulation, and comparative cost analysis. The test results show that the route generated by the system is able to shorten the total travel distance by 38.3% (equivalent to 26.3 km per route) compared to the existing route. From a managerial perspective, this optimization contributes to operational cost efficiency of Rp. 1,195,975 per truck per month. This study recommends the implementation of route automation systems as a management strategy to improve logistics efficiency and company competitiveness.
ANALYSIS OF KENTUCKY CHICKEN PRODUCT QUALITY AND SERVICE ON CUSTOMER SATISFACTION USING VALIDITY TEST METHOD AND MULTIPLE LINEAR REGRESSION WITH SPSS Harna Adianto; Lilik Martanto; Aswar Hanif; Endang Wahyudi
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 11 No. 2 (2026): Mei
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58487/akrabjuara.v11i2.2800

Abstract

In an era of increasingly intense market competition, factors such as price, taste, and attractive packaging have a positive influence on product quality and service, which in turn enhances customer satisfaction. Simultaneously, product quality and service significantly contribute to making Kentucky fried chicken products more appealing to the public. Therefore, it is necessary to examine improvements in chicken production quality as well as the availability of raw materials to meet consumer demand and generate income. This business is located in the Depok area. In its implementation, to support business planning, demand forecasting, and to reduce purchasing costs, an effective inventory system is essential. An inventory information system can also help increase sales, improve quality, and provide better service to customers. To ensure competitiveness in terms of taste, price, quality, and service, proper decision-making in purchasing raw materials is required. By applying with validity testing and multiple linear regression analysis (t-test) using SPSS, the final results aim to determine the relationship between product quality, service, and customer satisfaction, ensuring that specified needs are met
Co-Authors A. A Gede Ajusta A.A.Gede Ajusta Adi Supriyatna Ahmad Suryadi, Ahmad Ajusta, A.A Gede Aprilia, Agnes Aswar Hanif Fathul Zannah Gusti Nida Nurkhaliza Harna Adianto Haryanto Haryanto Hasanudin Hasanudin Hasanudin Hasanudin Hasanudin Hasanudin Heling, Lydia Salvina Helling, Lidya Salvina Heri Kuswara Indra Riyana Rahadjeng Lilik Martanto Lydia Salvina Helling Markus, Lilik Mohamad Nor Aufa Muqor Rama Hasanah Natal Indra Putra, Candra Anugerah Sismadi, Sismadi Taufik Baidawi, Taufik udin, hasan hasan Yahdi Kusnadi, Yahdi Zulfitria