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INDONESIA
JURNAL REKAYASA SISTEM INDUSTRI
Published by Universitas Putera Batam
ISSN : 24772089     EISSN : 26211262     DOI : -
Core Subject : Economy, Science, Engineering,
Computer Science & IT Economics, Econometrics & Finance Industrial & Manufacturing Engineering Materials Science & Nanotechnology
Jurnal Rekayasa Sistem Industri (JRSI) terbit sebanyak dua kali dalam satu tahun (Mei dan November). Terhitung Mulai edisi Mei 2018 publikasi jurnal ini telah dilakukan versi online (ISSN 2621-1262) yang sebelumnya hanya berupa versi cetak (print) (ISSN 2477-2089). Publikasi ini bertujuan untuk menghimpun informasi seputar gagasan, teori dan aplikasi bidang keilmuan Teknik Industri dan Manufaktur.
Arjuna Subject : -
Articles 158 Documents
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PERENCANAAN JALUR EVAKUASI KEBAKARAN YANG EFISIEN UNTUK FASILITAS PERAWATAN RUMAH SAKIT DENGAN MENGGUNAKAN ALGORITMA DIJKSTRA Safutra, Nur Ihwan; Fole, Asrul; Gunawan, Alam; Hafid, Muhammad Fachry; Ahmad, Arfandi; Herdianzah, Yan
JURNAL REKAYASA SISTEM INDUSTRI Vol 9 No 2 (2024): Mei 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v9i2.8794

Abstract

This study aims to design fire evacuation routes using the Dijkstra Algorithm at RSUD I Lagaligo in East Luwu Regency, as part of the building renovation to improve service quality. The Dijkstra Algorithm was chosen for its ability to determine the shortest path from one point to another in a graph. This research employs systematic and logical data analysis techniques to obtain the closest evacuation routes. The results show a significant decrease in evacuation distance after the implementation of the Dijkstra algorithm, enhancing travel efficiency while maintaining consistent gathering points, except for some routes that experience changes in gathering points.
PENENTUAN STOCK BAHAN BAKU GUNA MEMINIMALISIR BIAYA PENYIMPANAN DAN MENGURANGI KERUSAKAN PADA CV SARANA MITRA SUKSES Putra, Dheni Rahmat; Widiasih, Wiwin
JURNAL REKAYASA SISTEM INDUSTRI Vol 9 No 2 (2024): Mei 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v9i2.8800

Abstract

This research is aimed at finding out the amount of security stock, estimated total cost of inventory, optimal ordering, and reorder point. This study uses quantitative methods and aims to provide proposals for inventory control using continuous review systems and forecast analysis, as well as to determine the root cause of the occurrence of damage to raw materials on CV. Sarana Mitra Sukses is located in Karangnongko, Sukodono, Sidoarjo. In order to obtain the cost of providing glass 102x137 (2 mm), we experienced savings of Rp 18.105.803 with 12 sheet safety stock and re-purchase of raw materials when the raw material remains 55 sheets. For the costs of supplying glass 122x86 (2 mm), we experienced a saving of Rp 17.796.105 with 13 sheet safety stock and re-purchase when the raw material remains 57 sheets. For the supply of glass 122×102 (2 mm), we suffered savings in the amount of Rp 14.265.057 with a safety stock of 15 sheet safety stock and re-purchase when the raw material remains 67 sheets. For the supply cost of glass 88x147 (2 mm), we experienced a reduction in the size of Rp 21.599.803 in the safety stock of 19 sheet safety stock and re-purchase when the raw material remains 87 sheets. For 244x183 (3mm) glass storage costs, there are savings of Rs. 26.150.792 with 13 sheet safety stock and re-purchase when the raw material remains 58 sheets. And for the 305x214 (5mm) glass storage cost, there is a savings amounting to Rs. 20.017.022 with 3 sheet safety stock and re-purchase when the raw material remains 13 sheets. It can be seen that the total cost of inventory using the Continuous Review System method is considered more economical and can also have safety stock reorder point.
PERENCANAAN PENJADWALAN PRODUKSI UNTUK MEMINIMALISIR KETERLAMBATAN PEMESANAN PADA PT XYZ Pitaloka, Dia Ardiana; Widiasih, Wiwin
JURNAL REKAYASA SISTEM INDUSTRI Vol 9 No 2 (2024): Mei 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v9i2.8801

Abstract

PT XYZ is a company operating in the furniture sector which produces tables, chairs and cupboards. This company's ordering system is make to order, both export and local. The production process at this company consists of 7 production process flows including the CPP process, wood process, assembly, sanding, painting, checking, packing. The production process takes place using 20 different types of machines. The problem faced by the company is delays in fulfilling orders that do not comply with the deadline provisions. This problem is caused by inefficient production scheduling, therefore researchers analyze production scheduling using the Campbell Dudeck Smith, Palmer and Dannenbring methods and analyze the costs. However, before scheduling machines, it is necessary to test data uniformity, adequacy, normal time and standard time. The aim of these three methods is to find the minimum makespan value. From the results of these calculations, the minimum Makespan value obtained from the CDS and Dannenbring methods is 813.33 hours in the order GFABCED, GFACBED, GFACEBD, GFBCAED, GFCABED, GFCBAED. If you use the company's calculation method, the makespan value is 1026 hours with details of 840 working hours and 186 overtime hours. The CDS and Dannenbring methods in the order GFABCED, GFACBED, GFACEBD, GFBCAED, GFCABED, GFCBAED require labor costs of Rp. 141,520,058, whereas if you use the company method the labor costs are Rp. 150,253,734 required. If compared, the savings cost is IDR 8,733,676 per worker.
The STUDI WAKTU DAN OPTIMISASI DALAM PENGOLAHAN MINUMAN KOPI DENGAN KERANGKA KERJA MOST Sabilah, Ade Irpan
JURNAL REKAYASA SISTEM INDUSTRI Vol 10 No 1 (2024): November 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v10i1.8753

Abstract

Coffee beverage processing is an essential process in the rapidly growing coffee industry. From selecting coffee beans to serving customers, each processing stage plays a crucial role in determining the final quality of the coffee beverage. This study provides a deep understanding of the time aspects in the production process and lays the groundwork for improving overall production process efficiency through MOST (Maynard Operation Sequence Technique) framework analysis. The research method involves collecting data on coffee production processes from selecting coffee beans to serving customers. From the buyer's perspective, idle time reaches 260 seconds, while working time is only 105 seconds, resulting in a total time of 365 seconds. Meanwhile, from the operator's perspective, idle time is recorded at 60 seconds, with working time reaching 80 seconds, resulting in a total time of 100 seconds. From the machine's point of view, idle time is counted at 60 seconds, with working time reaching 220 seconds, resulting in a total time of 280 seconds. The research findings indicate that by applying the MOST framework, coffee beverage production time can be significantly reduced by making adjustments to several production stages, such as coffee bean grinding, coffee making process, and serving customers. These findings provide valuable insights for the coffee industry to improve production process efficiency and optimize consumer experience.
MENINGKATKAN PRODUKTIVITAS PRODUKSI PT.TAHU SUMEDANG DENGAN METODE APC Zaharuddin, Zaharuddin; Fauzi, Muhammad; Utama, Denny Wallady
JURNAL REKAYASA SISTEM INDUSTRI Vol 10 No 1 (2024): November 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v10i1.8788

Abstract

The rapid development of industry and increasingly fierce competition between companies encourage companies to maintain their existence by planning and developing competitive strategies. Increasing efficiency is the key to achieving greater benefits, such as increasing the effectiveness of assets in product development and achieving production targets. Measuring productivity is an important indicator in managing company resources. The Sumedang ABC Tofu Factory, as a home industry, experienced a decline in productivity due to suboptimal use of resources, such as labor, raw materials, energy and capital. The American Productivity Center (APC) method is used to measure productivity and identify factors causing decreased productivity. The measurement results show a decrease in productivity in periods 2 and 3 compared to the base period. Based on the analysis of the productivity index, profitability index, and price improvement index, the improvements needed include saving and monitoring the use of raw materials and energy, as well as reducing less than optimal capital. Companies can implement improvement solutions to increase production productivity and strengthen competitiveness in the market
PENGARUH LINGKUNGAN FISIK DAN SETTING MOUSE TERHADAP AKURASI MENEMBAK GAME FIRST PERSON SHOOTER Sukwadi, Ronald; Damasputra, Albertus Nugi Prasetya; Silalahi, Agustinus; Prasetya, Wibawa; Silitonga, Riana Magdalena
JURNAL REKAYASA SISTEM INDUSTRI Vol 10 No 1 (2024): November 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v10i1.9208

Abstract

The First-Person Shooter (FPS) game genre has gained significant popularity in the e-sports industry during 2022-2023. This study investigates the impact of physical environment and mouse settings on shooting accuracy in FPS gameplay. Participants were divided into beginner and advanced groups based on experience and playtime, or “flight hours.” Key variables include environmental factors—such as lighting and room temperature—and mouse settings, including mouse weight and DPI. Experiments were conducted using the AimLab application, with ANOVA and ANOM statistical tests used to determine optimal conditions. For advanced players, the ideal settings were identified as a room temperature of 16°C, no lighting, and a mouse weight of 100 grams. For beginners, the optimal condition was a room temperature of 16°C.
IMPLEMENTASI METODE GOAL PROGRAMMING UNTUK OPTIMASI OLAHAN INDUSTRI KERIPIK PISANG Pradjaningsih, Agustina; Dwidayanti, Frisca Puji; Riski, Abduh
JURNAL REKAYASA SISTEM INDUSTRI Vol 10 No 1 (2024): November 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v10i1.9255

Abstract

The production of chips, especially bananas, is the focus of the AROMA company in Lumajang. This business faces challenges in optimizing the use of raw materials to achieve maximum production. This challenge impacts production costs and profits, so proper production planning is needed. The goal programming method will be applied to handle this optimization problem involving various goals. This method aims to minimize deviations from each goal that has been set. The goal programming process involves identifying decision variables, goal constraints, and goal functions. The decision variables in this study included various flavors of banana chips such as chocolate, strawberry, durian, sweet, salty, chocolate-coated, and lime. Optimization problems are solved with LINDO software. The research results show that the production of banana chips can be optimized by increasing the output of lime-flavored banana chips by 200 packs. The optimization results also show total production costs of IDR 12,585,600 and profits of IDR 8,250,400.  
ANALISA PENGENDALIAN CACAT PADA PRODUK BORDIR KOPYAH SETENGAH JADI MENGGUNAKAN METODE STATISTICAL QUALITY CONTROL Rohmat, Rohmat; Hidayat, Hidayat
JURNAL REKAYASA SISTEM INDUSTRI Vol 10 No 1 (2024): November 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v10i1.9282

Abstract

Quality is an important aspect in the sector of a business. There is severe competition between business actors in achieving customer satisfaction through the principle of prioritizing quality over quantity. A similar thing was also done by one of the business actors in the Gesik area, namely UD Sketsa Embroidery, which is engaged in making semi-finished embroidered skullcaps. In its production, this business never knows in detail the defect causes that occur in its products and how to control them. So in this research, researchers conducted research analyzing defect control and how to improve its quality using statistical quality control methods. Based on the research results, this method can classify the types of defects that often occur, namely wrong direction embroidery defects, stacked embroidery, and unequal embroidery spacing. Knowledge of the weekly defect percentage at the time of sampling in this study was 1.57%. From the Pareto diagram, stacked embroidery type defects are the defects that have the highest number of frequencies, so stacked embroidery type defects are explained further using a fishbone diagram. This analysis is reviewed from aspects of human, machines, methods, materials and the environment factors. To prevent these defects, proposed actions and process improvements are also mentioned in this research.
IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN DENGAN METODE AHP UNTUK PENENTUAN PRIORITAS PENGADAAN BARANG DI GUDANG Wibowo, Sadiq Ardo; Hernando, Luki; Rahman, Taufiq; Firdasari, Firdasari; Shodiq, Muhammad Fajar
JURNAL REKAYASA SISTEM INDUSTRI Vol 10 No 1 (2024): November 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v10i1.9428

Abstract

This study designs a decision support system using the Analytical Hierarchy Process (AHP) method to determine the priority of procurement of goods in the Sabila Craft Batam warehouse. This system is designed to help management determine the order of procurement priorities based on the criteria of inventory levels, demand, lead time, costs, and the importance of goods for operations. Through a hierarchical structure, the AHP method breaks down complex problems into objectives, criteria, and alternatives, and performs pairwise comparisons between criteria to obtain the priority weight of each element. The calculation results show that the Wall Clock product has the highest priority with a weight value of 0.302, followed by Keychains (0.299), Tumblers (0.274), House Numbers (0.262), and Baby Biodata (0.146). All consistencies meet a ratio below 0.1, indicating that the evaluations carried out are consistent. The resulting system allows for more objective and structured decision making, so that it can optimize warehouse efficiency, reduce the risk of excess or shortage of inventory, and speed up the procurement process.
PERANCANGAN FRAMEWORK VERIFIKASI QUALITY ASSURANCE PROSES MANUFAKTUR MENGGUNAKAN KEMAMPUAN DETEKSI DAN TINDAKAN KONDISI IRREGULAR Abid, Muhammad Miftahul; Kusuma, Harun Indra; Ulfia, Yessi Nasia
JURNAL REKAYASA SISTEM INDUSTRI Vol 10 No 1 (2024): November 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jrsi.v10i1.9429

Abstract

Production process part body type car Rail Roof Side experience defect that is, there are variations in size specifications due to unstable processes. The cause of the unstable process is that the repair of the die tooling is not optimal and the machine parameters stamping not yet ideal for process operations. Verification quality assurace processes are needed to ensure QA is able to prevent, detect and control every production process activity. This research aims to design framework verification quality assurance by using detection capability variables and action conditions irregular. The process stability measurement variable using Cpk data is used as the main data. Design results framework process QA verification is a Cpk measurement >1.33 for a stable process standard, then a detection capability level during work operations of 0.8 for visual detection scores and tool detection capabilities, warnings, interlock system respectively 1.0/1.2/1.4. Meanwhile, the ability to detect post-work operations visually, tools, warnings, interlock system respectively 1.1/1.2/1.3/1.4. Meanwhile, the level of action ability irregular namely a score of 1 if the worker is able to take action according to the SOP and a score of 0 if the action does not comply with the SOP when there is an abnormal process. The final stage combines these 3 (three) variables to produce a rank value at each inspection point. Process quality assurance can be achieved if the rank value is 1.5–1.99 and the rank value is > 2.0. Process quality assurance is not achieved if the rank value is 0.0–1.19 and the rank value is 1.2–1.49. Process guarantees that are not achieved indicate that there are process variations or unstable processes. The verification process is considered complete when the results of the verification of process guarantees reach the target and improvements are made to quality guarantees that do not reach the target rank.

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