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Development of an Application Model for Solving the Vehicle Routing Problem (VRP) Using the Nearest Neighbour Approach Hajar, Granita; Fauzi, Muhammad Dzulfikar; Harnaningrum, Rizky Novera; Islami, Mega Cattleya P.A
Tekmapro Vol. 20 No. 2 (2025): TEKMAPRO
Publisher : Program Studi Teknik Industri Universitas Pembangunan Nasional Veteran Jawa Timur

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Abstract

Optimalisasi distribusi merupakan salah satu bagian terpenting dalam logistik, dengan adanya optimalisasi pada bagian distribusi dapat menekan biaya logistik. Salah satu pendekatan untuk melakukan optimalisasi distribusi yaitu melalui penyelesaian masalah Vehicle Routing Problem (VRP). Biaya logistik salah satunya didapatkan dari jarak rute pengiriman. Penelitian menggunakan deskriptif kualitatif dengan yang mencakup identifikasi node (titik lokasi), jarak antar node, dan kapasitas kendaraan. Metode algoritma Nearest Neighbour digunakan dalam penyelesaian masalah VRP dan diimplementasikan melalui aplikasi yang dibangun menggunakan bahasa pemrograman Delphi. Tujuan utama penelitian ini adalah menghasilkan sebuah aplikasi untuk memudahkan pemahaman dan pembelajaran mengenai penyelesaian VRP. Hasil penelitian menunjukkan bahwa algoritma Nearest Neighbour dapat digunakan secara efektif untuk menyusun rute distribusi yang efisien. Aplikasi ini berguna sebagai media pembelajaran dalam mempelajari konsep distribusi logistik dan penggunaan algoritma Nearest Neighbour menunjukkan efisiensi dalam menyusun rute distribusi dalam skala sederhana.
Integration of Waste Management and Environmental Impact Assessment for Sustainable Manufacturing in Sukolego Tofu Production P.A. Islami, Mega Cattleya; Harnaningrum, Rizky Novera
International Journal of Eco-Innovation in Science and Engineering (IJEISE) Vol. 6 No. 2 (2025): IJEISE
Publisher : UPN Veteran Jatim

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Abstract

The tofu production process, particularly in small- to medium-scale industries like Sukolego Tofu Production, generates various types of waste that pose environmental challenges. This study aims to integrate waste management practices and environmental impact analysis within a sustainable manufacturing framework. This study uses a quantitative method with a causal associative approach to measure Waste Management (X1), Environmental Impact Assessment (X2), and Sustainable Manufacturing (Y). Data was collected through questionnaires distributed to 50 people living around the Sukolego Tofu Factory.  Data that meets the validity, reliability, and classical assumption tests is processed to produce a linear regression equation. The analysis results indicate that the Environmental Impact Assessment (EIA) variable has a positive and significant effect on Sustainable Manufacturing, both partially and simultaneously. However, the Waste Management variable does not exhibit a significant effect. This is supported by the significance (Sig.) values, where the EIA variable yields a value of 0.004 (p < 0.05), indicating statistical significance, whereas the Waste Management variable yields a value of 0.702, which is not statistically significant.