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Optimasi Persediaan Produk Pipa dengan Karakter Permintaan Lumpy Intermiten di Industri Manufaktur Harno Suntoko; Muhamad Abdul Jumali
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.v9i2.56390

Abstract

This study develops an optimized inventory control policy for pipe products characterized by intermittent demand in a manufacturing company in Surabaya. Monthly demand data from January to December 2024 were analyzed using the Average Demand Interval (ADI) and the Coefficient of Variation Squared (CV²) to classify demand behavior. The results indicate an ADI of 2.6 and a CV² of 0.82, confirming a lumpy intermittent demand pattern. Based on this classification, inventory parameters were determined for a 15-day lead time. The proposed policy yields a safety stock of 18 units and a reorder point of 25 units at a 95% service level. Implementation of the integrated forecasting–inventory approach reduces annual inventory costs by 21.7% and improves material availability from 89% to 95%. Findings demonstrate that demand classification-based inventory decisions provide measurable operational and economic improvements for project-oriented manufacturing environments.
Pengukuran Efisiensi Proses PPDB dengan Pendekatan Work Measurement Vitri Nur Hidayati; Muhamad Abdul Jumali
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.v9i2.56419

Abstract

This study aims to measure the process efficiency of student admission (PPDB) using a work measurement approach by comparing manual and digital systems at a private vocational school in Surabaya. A quantitative–comparative design was applied to ten complete admission process records, evaluating three indicators: process time, administrative error rate, and staff workload. Data were collected through structured time study, error logging, and daily task records during one admission period. The results indicate that the digital system reduces process time by 50–90%, decreases the error rate from 15% to 5%, and improves staff productivity by minimizing overtime. The three indicators were integrated into a composite efficiency index adapted from Overall Equipment Effectiveness (OEE), yielding 18.7% for the manual system and 80.7% for the digital system. These findings confirm that digitalization significantly enhances service process performance and provides a measurable industrial engineering framework for improving administrative efficiency.