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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan EduReligia : Jurnal Pendidikan Agama Islam IDENTIFIKASI: Jurnal Ilmiah Keselamatan, Kesehatan Kerja dan Lindungan Lingkungan INTI Nusa Mandiri Letters in Information Technology Education (LITE) Journal of Industrial Engineering & Management Research (JIEMAR) Industrika : Jurnal Ilmiah Teknik Industri Zuriah : Jurnal Pendidikan Anak Usia Dini Jurnal Al-Fawa'id : Jurnal Agama dan Bahasa JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) ARZUSIN: Jurnal Manajemen dan Pendidikan Dasar Madani: Multidisciplinary Scientific Journal Managere: Indonesian Journal of Educational Management Journal of Information System, Technology and Engineering Equiva
Muhammad Kholil
Program Studi Teknik Industri, Universitas Mercu Buana
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Journal : Journal of Information System, Technology and Engineering

 1 
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.
Improving Surface Finish Quality of Plastic Molds via VSM and DMAIC Integration Kholil, Muhammad; Hidayat, Syarif; Firdaus, Alfa
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.v3i3.187

Abstract

The rapid growth of manufacturing demands continuous process improvement. This study examines a plastic manufacturing company’s Mouldshop, which has not met performance targets an average lead time of 52 days (target 50 days) and a 75% success rate (target 93%) and struggles to achieve the desired surface finish quality of plastic molds. An integrated Value Stream Mapping (VSM) and Six Sigma DMAIC approach is applied to visualize end-to-end process flows (VA/NNVA/NVA), quantify performance gaps, analyze root causes (Fishbone with the 4M Man, Machine, Material, Method), and design improvements. VSM reveals three dominant wastes defects, inappropriate processing, and waiting linked to six critical failure causes spanning operator capability and discipline; overloaded schedules, equipment failures, machining errors, temperature control, and precision instability; material selection and procurement delays; and shortcomings in work- instruction compliance, machining parameters, drawing completeness, and standardized process flow. Using 5W+1H within DMAIC, the study proposes: standardized machining instructions and setup times; preventive- maintenance schedules and checklists; incoming verification with PIC accountability; structured training; mold quality checklists; weekly 5S/5R audits; and Future State Mapping to reduce NNVA/NVA. The integrated DMAIC–VSM roadmap is expected to shorten lead time, raise the value-added ratio, and improve surface finish quality, offering a transferable blueprint for similar manufacturing operations.
Co-Authors Abdulghani, Naser Ali Ade Arviani Nurul Gadissa, Ade Arviani Nurul Agus R, Abu Hasan Alfa Firdaus Almira Ulimaz Atep Afia Hidayat Aunullah, Indi Danar Susilo Wijayanto Deykha Aguilika Dwi Aji Santoso, Dwi Aji Euis Nina Saparina Yuliani, Euis Nina Saparina Fuada, Shofiya Haekal, Jakfat Hasbullah Hasbullah Herman Dwi Surjono Herminarto Sofyan Husnaini, Azizah Nurul Ibrahim, Mozart Malik Ida Ayu Putu Sri Widnyani Indra Almahdy, Indra Indrarespati, Rifaldy Joko Joko S., Joko Kartika, Hayu Komeyni Rusba Lebinner Sinaga Luqmantoro, Luqmantoro Marsudin, Ahmad Muhamad Ramdan, Muhamad Ngatou Rohman Nurato Nurato, Nurato Nurul Husnaini, Azizah Peggy Hariwan, Peggy Rofiqi, Rofiqi Rudini Mulya, Rudini Salim, Muhammad Bayu Sari, Dian Purwanti Selamat Riadi Setia Bakti, Candra Setianingrum, Ajeng Yeni Sidik, Rasyid Sonny Koeswara Suhermanto, Suhermanto Syarif Hidayat Syarifuddin Syarifuddin Syivarulli, Riina Tri Pambudi, Tri Violin, Vivid Windari, Samsi Elvia Zulfa Fitri Ikatrinasari