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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 1,048 Documents
 83   84   85   86   87 
Perencanaan Pengadaan Biji Plastik Guna Meminimasi Biaya Pembelian Bahan Baku Sari, Ayu Widya Puspita; Wati, Putu Eka Dewi Karunia
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47911

Abstract

As a company engaged in the plastic sack manufacturing sector, PT. XYZ is highly dependent on plastic pellets as the main material in its production activities. Currently, the company’s raw material inventory planning is inefficient, necessitating improvements in inventory control. One effective method to address this is Linear Programming, which supports decision-making by optimizing the allocation of resources such as machinery, labor, capital, time, capacity, and materials. In this case, PT. XYZ procures raw materials from two suppliers with varying capacities and costs while facing storage limitations. The study focuses on minimizing raw material purchasing expenses. Findings reveal that sourcing solely from the first supplier, with a purchase volume of 1,577,852 kg, results in the lowest cost of Rp 4.141.861.464,54. Utilizing Linear Programming led to a cost reduction of Rp 1,621,664,213.62 compared to previous procurement strategies
Sistem Pemeliharaan Preventif Pada Peralatan Utama Stasiun Batching Plant Menggunakan Metode FMEA di PT. Azwa Utama Gorontalo Andika, Dimas Krisna; Junus, Stella; Larossa, Esta
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47963

Abstract

The demand for high-quality concrete as a primary material in various construction projects makes the existence and optimal performance of concrete production facilities, namely batching plants, very crucial. The efficiency and operational reliability of batching plants directly impact the quality of concrete, project schedules, and production costs. Disruptions in any component, no matter how small, can result in significant downtime and economic losses. Therefore, proper and planned maintenance becomes an essential foundation for maintaining the optimal performance of batching plants. This research aims to provide practical recommendations regarding the optimal type of maintenance, in order to enhance the efficiency, reliability, and lifespan of batching plant equipment. The results show that the number of failures and total downtime for the conveyor machine amounted to 11 failures with a total downtime of 92 hours, and for the mixer, there were 9 failures with a total downtime of 85 hours and for the silo 6 times with a total downtime of 40 hours.
Optimalisasi Produksi pada UMKM Industri Tahu dengan Linear Programming Anugerah, Adhe Rizky; Kharismawati, Anisa; Wijayanti, Nanik; Falaq, Iqbal Abdul; Kamil, Rafi Adlan; Sari, Saprina Melita
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47978

Abstract

MSMEs (Micro, Small, and Medium Enterprises) are crucial to Indonesia's economy. However, limited resources and suboptimal management remain key challenges for business sustainability. This study aims to optimize tofu production in Yogyakarta’s MSMEs using the linear programming method, specifically the simplex method. The research focuses on three constraints: soybeans, salt, and working hours, with the goal of maximizing profit through an efficient combination of white tofu and Magel tofu production. Data was collected through field interviews and analyzed using the simplex method with POM/QM. The results show that the business needs to produce 14 buckets of white tofu (~1,400 pcs) and 6 buckets of Magel tofu (~600 pcs) to achieve maximum revenue of IDR 2,176,146. Sensitivity analysis on increasing Magel tofu prices did not affect the optimal solution within the tolerance range. This research offers empirical insights for MSME decision-making and theoretical contributions to linear programming applications in creative industry.
Analisis Produktivitas Penjahit dengan Menggunakan Metode Work Sampling Raodah, Raodah; Aqsha, Ismail; Husda, Baso Riadi; Ramdhani, Irin; Erniyani, Erniyani
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.48400

Abstract

Work sampling is a work measurement method to determine the proportion of time spent in various work system activities, either by humans, machines, or processes. This study identifies the proportion of productive and non-productive activities and determines the standard time as a basis for improving work effectiveness, especially in the activities of sewing operators. The work sampling method was used with 69 random observations over eight working hours of one operator. Analysis involved statistical calculation of proportion distribution, rating factor, allowance, as well as cycle, normal, and standard time. The results showed that 81,16% of the activities performed were productive with a standardized time of 179,79 minutes per work cycle. The idle time level was recorded at 18,84%. This finding indicates that the observed work system still leaves potential for improvement in unproductive time. The conclusion of this study emphasizes the importance of implementing work sampling as a method to design data-driven work system improvements, in order to increase overall work productivity and efficiency.
Analisis Statistical Process Control (SPC) pada Proses Produksi Larutan Viscose di PT. Indo-Bharat Rayon Madani, Ryan; Widarman, Agung; Yudha, Haris Sandi
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47245

Abstract

Products or services must be of high quality. This can make consumers satisfied and remain loyal to the goods or services produced. PT. Indo-Bharat Rayon is the first factory to produce Viscose Rayon Staple Fibers in Indonesia. However, in the process of making Viscose solution based on the results of Ball Fall value testing in March-June 2025, an Out-of-control test was found. The existence of Out-of-control test results is a strong indication of problems in quality control in the Viscose solution manufacturing process. Seeing the problems that occur, an analysis using the Statistical Process Control (SPC) method needs to be carried out. Based on the X-Chart of the Ball Fall test, the Out-of-control process occurs in data No. 1,4,7, 8,32, 72, 76,80,107,108 and No. 118. Based on the S-Chart, it occurs in data No. 4,7,32,54,80,107,108 and 118. The causes of Out-of-control in Viscose solution include: Human error, Material, Method, Machine, and Environment.
Minimasi Waste Produk Side Chair di UD. Mustika Agung dengan Menggunakan Metode Waste Relationship Matrix Wardana, Bima Triaji; Hendarawan, Aloysius Tommy; Khoiri, Halwa Annisa
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47320

Abstract

UD. Mustika Agung is a company that focuses on the production of side chairs in East Java. Defects were found in the production process, namely several cracked joints due to wood that was not fully dried, and inventory, namely there were side chairs stacked on side chairs caused by the queuing process for finishing. UD. Mustika Agung seeks to reduce waste in the production of side chairs by implementing the concept of lean manufacturing to minimize existing waste. One of the tools to minimize the concept of lean manufacturing is the Waste Relationship Matrix (WRM) which functions to identify waste that occurs in the company. The two largest wastes were found, namely defects with a score of 32 and inventory with a score of 26. The proposed improvements are to replace the oven machine with a more modern one and add employees
Analisis Peramalan Persediaan Batu Bara dengan Pendekatan Time Series (Studi Kasus: Pada PT. X) Kurniyawan, Aldy; Febryanto, Indra Dwi
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47535

Abstract

The manufacturing industry requires a consistent supply of raw materials to maintain a smooth production process, but inventory control is often a major problem faced by companies. This research focuses on forecasting coal needs at PT X using the time series method as well as proposals for safety stock planning, reorder points, and the application of the optimal Economic Order Quantity (EOQ) method. This study aims to determine the comparison of company calculations with EOQ calculations, determine the results of forecasting the amount of coal usage in the next period using time series, and determine the results of calculating the optimal amount of coal orders using the EOQ method. The most optimal EOQ results are 784 tons per order with a more efficient ordering frequency of up to 12 times. The appropriate ARIMA forecasting model is the ARIMA (1,0,1) model with a total coal usage of 6204 tons. From the forecasting of coal usage, the application of the EOQ method is carried out which results in an order quantity of 452 tons of orders at a frequency of 14 times.
Analisis Ergonomi Pada Bahaya Postur Pekerja PLN ULPLTD Labuhan-Sumbawa Berdasarkan SNI 9011:2021 Hudaningsih, Nurul; Putri, Desi Rohmandani; Dekantari, Rezkia Putri
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47667

Abstract

PT. PLN UPLTD Labuhan-Sumbawa as one of the electricity provider units certainly has the potential for danger to workers, one of which is in the Maintenance section. Based on the results of the GOTRAK survey, it was found that all workers had experienced pain or discomfort with a moderate risk level of 44%. The risk level of body pain is in the upper back, lower back, and right shoulder areas, so an ergonomic analysis is needed on the activities of maintenance workers based on SNI 9011:2021. The results of the analysis show that the partition installation worker is in the moderate hazard category with a total score of 6; the pipe installation worker is in the moderate hazard category with a total score of 4; and the Central B cleaning worker is in the hazard category with a total score of 2. Recommendations for improvement are needed by providing proposals for improving work stations including redesigning work stations, adjusting layouts, using personal protective equipment, and improving lighting in the workplace.
Analisis K3 Mesin Bor Tangan pada Industri Fabrikasi PT. XYZ Menggunakan Metode HIRA Indiyono, Lalak; Nurmawati, Nurmawati; Cahyono, Manggi Dwi; Andi, Dwi; Soejakti, Dahrijoso
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47823

Abstract

PT. XYZ is one of the industries engaged in the fabrication sector with 20 workers. The small work location makes the production area full of machines and piles of scattered equipment that can cause danger to workers and the company. The absence of Occupational Safety and Health (K3) in the production process is very risky, so it can cause hazards and occupational diseases. This study aims to avoid and reduce the risk of work accidents that occur at PT. XYZ with work tools using hand drills by conducting risk analysis and control using the Hazard Identification and Risk Assessment (HIRA) method to identify hazards and assess risks. The results of this study are that work must be strictly guarded by HSE Officers, know the SOP, must use PPE so that safe, comfortable work is created, and production increases.
Analisis Six Sigma untuk Mengurangi Cacat Produk dan Peningkatan Kualitas di Pabrik Gula XYZ Mardiansyah, Bagas Tri; Muttaqin, Aan Zainal; Susanto, Doni
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 8 No. 3 (2025): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v8i3.47838

Abstract

This study aims to analyze the application of the Six Sigma method with the DMAIC (Define, Measure, Analyze, Improve, Control) approach in reducing product defects and improving production quality at PG. XYZ. The main problem in sugar production is the high level of defects in the form of non-uniform sugar grains and non-uniform sugar color, which has an impact on decreasing efficiency and customer satisfaction. Defect data was analyzed using a control chart (P-Chart), DPMO value calculation, and sigma level to evaluate process stability. The results showed that the production process was not statistically stable, with an average defect rate of 3.65% and a sigma value at level 2.5. The main causes of defects were identified through Fishbone Diagram analysis and obtained from human, machine, method, material, and environmental factors. The proposed solutions include the creation of SOPs, operator training, machine calibration, and routine monitoring and audit systems. This study is expected to be a reference for other sugarcane processing industries in implementing the Six Sigma method to improve product quality and competitiveness.

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