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All Journal Journal of Information System, Technology and Engineering IRA Jurnal Pengabdian Kepada Masyarakat
Indra Almahdy, Indra
Program Studi Teknik Industri, Universitas Mercu Buana Jakarta
Computer Science & IT Education Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering Other

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Pelatihan Penerapan Supply Chain Management untuk Meningkatkan Produktivitas Printing Sepatu Almahdy, Indra; Lesmana, Sakti Aji
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 2 No 2 (2024): Agustus
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v2i2.113

Abstract

The formation of several small, medium and large scale industries shows that Indonesia's industrial growth is increasing. Society is impacted positively and negatively by this increase. Small businesses should strive to improve supply chain efficiency. The supply chain involves all parties directly and indirectly to meet customer demand. Maximizing total value is the goal of the supply chain. The difference between the value of the final product received from the customer and the supply chain effort (cost) invested to meet customer demand constitutes the total value of the supply chain. Manufacturing processes in the production process, transportation networks that deliver products from factories to retail stores, and warehouses where products are stored in distribution facilities where large shipments are divided into smaller lots and returned. This training on supply chain management by considering environmental factors aims to increase productivity by minimizing waste produced, optimizing usage and supply chains in accordance with industrial needs. So that at the end of the training participants can have ideas for better time management based on the design cycle to delivery distribution and feedback.
Evaluating DRP Implementation for 3 KG LPG Distribution Efficiency Firdaus, Alfa; Kholil, Muhammad; Riadi, Selamat; Hidayat, Atep Afia; Almahdy, Indra
Journal of Information System, Technology and Engineering Vol. 3 No. 3 (2025): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v3i3.186

Abstract

This study evaluates the effectiveness of Distribution Requirements Planning (DRP) integrated with ARIMA time series forecasting to support delivery scheduling decisions and the determination of minimum inventory levels. As a representative case study, a 60-month sales series of Ultra-Pure Water was used to simulate fluctuating retail demand across the agent–depot network. The Augmented Dickey–Fuller test confirmed stationarity (p = 0.0142), allowing candidate ARIMA (p, 0, q) models to be evaluated using ACF/PACF and information criteria. The best model was ARIMA (1,0,1), which had the lowest Akaike Information Criterion and passed diagnostic tests (normal residuals, no autocorrelation, no heteroscedasticity), making it suitable for operational forecasting. Projection results indicated a stable demand pattern and yielded a safety stock threshold of 733.24 units/month (equivalent to 24.44 units/day) as a reference for inventory control. These findings demonstrate that the DRP–ARIMA integration can enhance supply reliability and distribution efficiency, particularly for subsidized goods such as 3 kg LPG, with practical implications for determining adaptive inventory levels, delivery routes and frequency, and upstream–downstream coordination. Theoretically, this study provides additional empirical evidence on the use of quantitative forecasting models to operationalize DRP in the energy sector, while also providing a foundation for replication in other critical commodities.
Co-Authors Alfa Firdaus Atep Afia Hidayat Eko Sulisetyawan, Eko Fachrurrozi Fachrurrozi Kushartini, Dinni Lesmana, Sakti Aji Muhammad Kholil NINGRUM, MAGDALENA PRAHARANI SURYA Resa Taruna Suhada SAFITRI, SETYORINI Selamat Riadi