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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN)
Hilyatun Nuha
Universitas 17 Agustus 1945 Surabaya
Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Optimalisasi Rute Distribusi Songkok Untuk Meminimalkan Biaya Transportasi Pada CV. ABC Bagus Wahyudi; Hilyatun Nuha
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.58562

Abstract

CV. ABC is a manufacturing industry producing songkok that serves nine regular customers across East Java and Madura. Currently, the company faces transportation cost inefficiencies due to the implementation of a rigid zone-based distribution system. This condition leads to suboptimal fleet capacity utilization and inflated travel distances, resulting in total transportation costs of Rp3,486,700 per delivery period. This study aims to determine a more optimal distribution route to minimize travel distance and identify concrete cost savings comparisons.  The method employed in this research is the Vehicle Routing Problem (VRP) using a Mixed Integer Linear Programming (MILP) mathematical model approach. The data processing and search for the optimal route were executed using Python software via the Google Colab platform. The research results indicate that the proposed route successfully reduced the total distribution distance from 2,026 km to 1,234 km, equivalent to a distance saving of 39%. Furthermore, significant financial efficiency was achieved, where total monthly operational expenditures decreased from Rp45,574,150 to Rp32,234,850.
Perbandingan Metode Double Exponential Smoothing, dan Triple Exponential Smoothing pada Peramalan Permintaan Paving Block Rangga Agriyan Purnama Setya; Hilyatun Nuha
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 2 (2026): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i2.58563

Abstract

CV. XYZ is a company engaged in the production of Paving Block K300. The problem faced is the company's inability to meet the surge in demand at the end of the year due to the lack of an adequate forecasting system. This study aims to compare the Double Exponential Smoothing (DES) and Triple Exponential Smoothing (TES) methods in forecasting Paving Block demand using data from May 2024 to April 2026. Forecasting accuracy was evaluated using MAD, MSD, and MAPE. The results showed that the TES method produced the smallest error value for all product types, namely rectangles (MAPE 4%), squares (MAPE 6%), 3-dimensional (MAPE 9%), hexagons (MAPE 12%), and bishops (MAPE 8%). Thus, the TES method is recommended as the basis for production planning at CV. XYZ.
Co-Authors Bagus Wahyudi Rangga Agriyan Purnama Setya