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Jurnal Teknik Industri Terintegrasi (JUTIN)
Published by Universitas Pahlawan Tuanku Tambusai
ISSN : 26208962     EISSN : 26208962     DOI : 10.31004jutin
Core Subject : Science, Engineering,
Decision Sciences, Operations Research & Management Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal Teknik Industri Terintegrasi merupakan jurnal yang dikelola oleh Program Studi Teknik Industri Fakultas Sains dan Teknologi Universitas Pahlawan Tuanku Tambusai yang menjebatani para peneliti untuk mempublikasikan hasil penelitian di bidang ilmu teknik dan teknik industri mencakup proses manufaktur, kegagalan dan rekayasa material, perawatan berbasis keandalan, keselamatan kerja, perancangan sistem kerja dan ergonomi, pengendalian dan penjaminan mutu, tata letak fasilitas, penelitian operasional, kewirausahaan dan pengembangan bisnis
Arjuna Subject : -
Articles 1,355 Documents
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Pengendalian Persediaan Bahan Baku dengan Metode MRP Guna Mencapai Efisiensi Biaya Persediaan Pada UMKM Kerupuk Puli M Jakariya; Nurhamidah Nurhamidah
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.v9i2.58958

Abstract

The main problem faced by MSMEs is the mismatch between production schedules and demand fluctuations, which often cause raw material stock shortages and lead to wasted production costs. Quantitative data such as production records, demand levels, and various inventory costs are then analyzed using the MRP approach to determine raw material requirements, prepare production schedules, and find the lowest total costs. The results of the analysis show that the LFL method provides the lowest total inventory cost, which is Rp40,365,400. This figure is much more efficient than the EOQ method (Rp83,922,260), POQ (Rp65,873,280), and the actual costs incurred by the company (Rp70,575,000). Based on these findings, this study recommends the use of the LFL method to reduce storage costs, prevent overstocking, and improve accuracy in meeting market demand. Practically, the results of this study provide a tangible contribution to MRP-based inventory management, particularly for MSMEs with similar characteristics.
Analisis Pengendalian Kualitas Produk Iqro Kustom dengan Metode Six Sigma dan FMEA (Studi Kasus: CV Alquran Nuzula) Dimas Adi Prayitno; Herlina Herlina
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.v9i2.58974

Abstract

This study aims to identify the dominant defect type, determine the main causative factors of defects, and measure the defect reduction rate after improvement implementation based on the integration of Six Sigma (DMAIC) and Failure Mode and Effect Analysis (FMEA) methods. The research methodology follows the DMAIC stages: Define using a SIPOC diagram to map the production process; Measure using DPMO calculation, sigma level, and p-control chart; Analyze using Pareto diagram and fishbone diagram; Improve using the 5W+1H method; and Control through production process supervision. The analysis results show that the dominant defect type is cut QR code (28% of total defects). The average DPMO value is 3,519.48 with a sigma level of 4.20. FMEA analysis identified three priority causes with the highest RPN: not implementing the cutting SOP (RPN=336), incorrect print layout settings (RPN=315), and no alignment check (RPN=288). After implementing improvements in April 2026, the defect percentage successfully decreased to 0.96%, DPMO decreased by 60.97% to 1,373.63, and the sigma level increased to 4.49. Internal failure costs were reduced by 71.0%, from IDR 802,000 to IDR 234,000.
Analisis Pengendalian Persediaan Bahan Baku Tangki BBM dengan Metode EOQ dan ROP (Studi Kasus: PT. Meco Inoxprima) Muhammad Burhan Jamaluddin; Sajiyo Sajiyo
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.v9i2.58981

Abstract

This study aims to analyze the control of raw material inventory in the fuel tank manufacturing process at PT Meco Inoxprima to improve production flow and cost efficiency. The company’s main problem is delays in the procurement of imported raw materials, which disrupt production schedules and increase operating costs. The methods used are EOQ, Safety Stock, and ROP, utilizing historical data from 2025–2026. The results indicate optimal order quantities of 435 sheets (aluminum alloy), 334 sheets (stainless steel), and 281 sheets (mild steel). Safety stock is set at 102, 43, and 36 sheets for each material, respectively. The ROP values are 480, 197, and 92 sheets. Total inventory costs decrease from Rp. 136,250,000 to Rp. 107,890,000 per year, resulting in savings of Rp. 28,360,000 (20.82%). The application of the EOQ, Safety Stock, and ROP methods has proven effective in improving operational cost efficiency and ensuring smooth production.
Analisis Pengendalian Persediaan Bahan Baku Bakpia dengan Sistem Min-Max untuk Efisiensi Biaya Persediaan pada UD. ABC Fanny Setiawan; Herlina Herlina
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.v9i2.58998

Abstract

UD. ABC is a bakpia producer located in Gempol, Pasuruan. The problem often experienced by producers with this make-to-stock system is the occurrence of excess and shortage of raw materials due to meeting unstable customer demand. This condition causes increased inventory costs, so more effective control efforts are needed. This study aims to reduce total inventory costs through the application of the min-max stock method. The research stages carried out include forecasting demand for the next 3 months to meet the amount of raw material requirements using the weighted moving average method, followed by determining safety stock, reorder points, and minimum and maximum stock limits. Then comparing the total inventory costs between the existing conditions and the proposed min-max method. The results of this study show that the application of the min-max stock method successfully reduced total inventory costs from Rp 10,296,672 to Rp 5,065,997, with an efficiency value of 51%. This method has proven effective as an inventory control solution in fluctuating demand conditions.
Analisis Perencanaan Kebutuhan Bahan Baku untuk Meningkatkan Pencapaian Target Produksi pada UD. Kasak Paper Bag Amanda Seftia Andini; Sajiyo Sajiyo
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.v9i2.59004

Abstract

UD. Kasak Paper Bag is a manufacturing company that produces paper bags and experiences problems in controlling and supplying raw materials, especially medium paper, which causes delays in the production process. The raw material procurement system is still based on estimates, resulting in shortages and excess inventory. The purpose of this study is to determine efficient raw material planning through the application of the Material Requirement Planning (MRP) method. The methods used include demand forecasting with the Moving Average and Weighted Moving Average methods with the application of the Lot For Lot (LFL) and Period Order Quantity (POQ) lot sizing techniques. The results show that the Moving Average method has the best level of accuracy with a MAD value of 503.7. MRP calculations show that the LFL method produces the minimum total inventory cost of Rp16,530,000 compared to the POQ method. The application of MRP can increase the effectiveness of raw material inventory management and maintain the smoothness of the production process.
Analisis Perencanaan Kebutuhan Bahan Baku Menggunakan Metode MRP pada Produksi Kursi Anyaman Aluminium (Studi Kasus : PT. XYZ) Fani Nafianti Putri Farenzy; Sajiyo Sajiyo
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.v9i2.59007

Abstract

PT. XYZ operates in the furniture production sector using a Make-to-Order (MTO) system for woven aluminum chairs. The company's primary challenge lies in the unplanned management of material requirements, which often results in a mismatch between inventory levels and production process requirements. This situation necessitates the implementation of a raw material planning method that can improve inventory control effectiveness and maintain smooth production activities. This study utilized several analytical stages: demand forecasting, preparation of a Master Production Schedule (JIP), application of Material Requirement Planning (MRP), and analysis of lot sizing techniques using the Lot for Lot (LFL) and Period Order Quantity (POQ) methods. Based on the forecasting test results, the Moving Average method provided the smallest error value with a MAD of 70.37, thus being selected as the basis for JIP preparation. Furthermore, the MRP calculation results indicated that the LFL method resulted in an inventory cost of Rp32,875,500 and was deemed more optimal than the POQ method for raw material inventory control. The implementation of this method is expected to improve inventory efficiency while supporting the company's smooth production process.
Analisis Pengendalian Persediaan Bahan Baku pada Produksi Sandal di UD. Al Athyyah Prananda Aditia Ramadan; Siti Mundari
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.v9i2.59045

Abstract

UD. Al Athyyah is a sandal manufacturing company experiencing problems in raw material inventory control. Inaccurate raw material planning causes shortages and excess inventory, resulting in increased storage costs, disrupted production activities, and potential lost sales. This study aims to analyze raw material requirements using the Material Requirement Planning (MRP) method with lot sizing techniques, namely Lot For Lot (LFL), Economic Order Quantity (EOQ), and Period Order Quantity (POQ). The data used include product demand, product structure, raw material inventory, and lead time. The results show that the POQ method produces the lowest total inventory cost and helps the company improve inventory control efficiency while reducing the risk of raw material shortages.
Analisis Line Balancing untuk Mencapai Efisiensi Kerja dengan Pendekatan Heuristic (Study Kasus: CV. XYZ) Amanah Isnaini; Herlina Herlina
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.v9i2.59065

Abstract

CV. XYZ is a promotional media manufacturing company facing workload imbalance in its neon box production process, particularly at the assembly work center. This study aims to analyze production line balancing using the Ranked Positional Weight (RPW), Kilbridge-Wester Heuristic, and Largest Candidate Rule (LCR) methods. The research data consist of 30 work elements with a total standard time of 3.143.527 seconds. The results show that the RPW method obtained a line efficiency of 80.15%, balance delay of 19.85%, and smoothing index of 356.712 seconds. The Kilbridge-Wester method resulted in a line efficiency of 72.14%, balance delay of 27.86%, and smoothing index of 481.83 seconds. The LCR method provided the best performance, with a line efficiency of 90.17%, balance delay of 9.83%, and smoothing index of 176.77 seconds. Therefore, LCR is recommended as the proposed line balancing improvement, supported by adding two workers to the assembly station to reduce bottlenecks.
Analisis Pengendalian Kualitas Menggunakan Metode Statistical Quality Control (SQC), RCA dan PDCA (Studi Kasus: PT. ABC) Diona Vita Ayu Ningrum; Herlina Herlina
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.v9i2.59072

Abstract

In a competitive industrial environment, manufacturing companies are required to produce high-quality products to maintain their market presence and competitiveness. PT. ABC, a manufacturer of CPP and VMCPP films, faced issues with a high product defect rate of 11% in January 2026, which exceeded the company's tolerance standard (<10%). This study aims to analyze quality control using an integrated method of Statistical Quality Control (SQC), Root Cause Analysis (RCA), and Plan-Do-Check-Act (PDCA) to identify root causes and formulate improvement solutions. The results of the study on a total production of 38,582,482 kg revealed 4,604,779 kg of defective products. Slack Band defects were the most dominant type, accounting for 1,144,042 kg (25%). The scatter diagram indicates a positive correlation between production volume and defects, while the p-control chart shows that the process remains statistically controlled despite one out-of-control point. Fishbone diagram and 5 Whys analyses indicate that the primary root causes stem from tension winding instability, machine conditions, operators, SOPs, materials, measuring tools, and the environment.
Perhitungan Kebutuhan Bahan Baku Tas untuk Meningkatkan Efisiensi Produksi dan Mengurangi Biaya Kerugian: Muhammad Hafidz Syarifudin; Siti Mundari
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.v9i2.59083

Abstract

The bag convection industry in Indonesia is experiencing rapid growth along with increasing market demand. CV. Aurellia Jaya as one of the bag manufacturers faces a major problem in the form of a lack of raw material inventory which results in production delays and increased financial costs that must be borne. This study aims to calculate raw material requirements and the cost of losses due to late delivery to customers. The method used is the Silver–Meal Heuristic to determine the optimal timing and quantity of raw material orders, as well as cost analysis to measure losses in labor, machinery, and estimated delivery. The results show that the ordering cost is Rp1,704,000, the holding cost is Rp998,884, and the total inventory cost is Rp2,702,884, with a lot size of 6,488 rolls in 4 ordering cycles. The safety stock that must be provided is 176 rolls and the reorder point is at 786 rolls, and the total loss due to delays is Rp46,812,500 per 12 periods. The application of the Silver–Meal Heuristic method and Cost Analysis has been proven to make raw material inventory more efficient without raw material shortages and large losses for the company.

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