Atep Afia Hidayat
Program Studi Teknik Industri, Fakutas Teknik, Universitas Mercu Buana

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Pelatihan Penerapan Pengendalian Persediaan untuk Meminimalisir Pemborosan pada Industri Screen Printing Hidayat, Atep Afia; Koeswara, Sonny; Husein, Torik
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.v2i2.114

Abstract

The formation of a number of small, medium and large scale businesses shows the growth of Indonesian business. This increase has both good and bad impacts on society. It is advantageous to think of industrial growth in terms of the economy. In particular, people's living standards can be improved by reducing the unemployment rate. However, from an environmental perspective, industrial development has had detrimental effects. Where irregular waste disposal causes environmental pollution Small businesses must pay attention to internal performance and inventory if they want to compete. To meet customer demand, inventory involves all parties directly and indirectly. The goal of inventory is to maximize its total value. The total value of inventory is the difference between the cost of inventory to meet customer demand and the value of the final product received by the customer. During the production process, products are divided into smaller lots and returned to warehouses where they are stored in distribution facilities where they are shipped and from the factory to retail stores. By considering these environmental factors, inventory management training aims to increase productivity by reducing waste, optimizing usage, and developing inventory that meets industry needs.
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.
Engineering Economy Application in Investment Evaluation: A Simulation Approach Kholil, Muhammad; Haekal, Jakfat; Firdaus, Alfa; Almahdy, Indra; Riyadi, Selamet; Hidayat, Atep Afia
Journal of Information System, Technology and Engineering Vol. 3 No. 4 (2025): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v3i4.248

Abstract

This study evaluates the feasibility of implementing an Enterprise Resource Planning (ERP) system in the Cosmetics and Household Needs sub-sector using engineering economics and system-dynamics simulation. The investment targets operational efficiency and the correction of transaction and inventory discrepancies. Financial viability was assessed via Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PP), complemented by a multi-year Vensim simulation to capture dynamic cash-flow effects. Results indicate strong feasibility: NPV of Rp 119,654,313 over five years, IRR of 50.38% far above a 3.5% benchmark and a 7-month payback, with simulated trajectories showing increasing NPV and sustained positive cash flow under varying income, expense, and customer-growth assumptions. The ERP solution is at Technology Readiness Level (TRL) 7–8, reflecting prototype demonstration in an operational environment. The initiative aligns with institutional KPIs on digital transformation, efficiency, and financial performance, and supports SDG 9 (Industry, Innovation and Infrastructure) and SDG 12 (Responsible Consumption and Production) by promoting efficient resource management and sustainable industrial practices. Collectively, the evidence suggests ERP adoption is both financially sound and strategically beneficial for firms in this sub-sector.