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JRSI (Jurnal Rekayasa Sistem dan Industri)
Published by Universitas Telkom
ISSN : 23560843     EISSN : 25799142     DOI : https://doi.org/10.25124/jrsi
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Engineering Industrial & Manufacturing Engineering
Jurnal Rekayasa Sistem dan Industri (JRSI) or Journal of System and Industrial Engineering is a peer-reviewed and open-access scientific journal managed by the Faculty of Industrial Engineering, Telkom University. JRSI publishes scholarly articles originating from: Research findings,Conceptual ideas,Theory applications, and Analytical studies in the fields of system engineering and industrial engineering, particularly within the disciplines of Industrial Engineering and Information Systems.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 31 Documents
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Raw Material Inventory Control Using Probabilistic Methods and P Models as an Effort to Reduce the Risk of Out of Stock at UD XYZ Imam Khoirul Arifin; Herlina Herlina
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.10160

Abstract

The calculation of raw material inventory for pentol frozen products at UD XYZ using the probabilistic P Model Back Order indicates that the application of this method effectively helps the company optimize its inventory control. The probabilistic approach provides more accurate considerations in determining order quantities, order intervals, and minimizing the risk of stock shortages. The results show that beef reaches its optimal point with orders placed every 3 days at a quantity of 278.24 kg and a total cost of Rp 9,705,474, with a service level of 75%. Chicken also achieves optimal results with an order interval of every 3 days at 109.05 kg and a total cost of Rp 1,481,784 with an 80% service level. For sago flour, optimal inventory performance is achieved with orders every 6 days totaling 152.58 kg at a cost of Rp 946,617 and a service level of 76%. Meanwhile, tapioca flour reaches its optimal point with orders every 6 days amounting to 76.02 kg, a total cost of Rp 200,186, and an 81% service level. Overall, the application of the probabilistic P Model Back Order has proven to produce an efficient and measurable inventory system that supports the smooth production process of pentol frozen products at UD XYZ.
Design of an Ergonomic Press Machine Work Aid to Increase Productivity in the Shoe Production Process (Case Study at SMEs One Maxx Mojokerto) Ardana Isra Rachmadi; Siti Muhimatul Khoiroh
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.10176

Abstract

UKM One Maxx Mojokerto is a small and medium-sized enterprise engaged in shoe production. The production process, particularly in the stage of attaching the upper to the sole, is still carried out manually using basic tools such as hammers, nails, and pliers. This method requires relatively long processing time, high physical effort, and potentially causes ergonomic complaints for workers. This study aims to design an ergonomic press machine as a work aid to improve productivity and operator comfort. The research method includes user needs analysis, anthropometric measurements for tool dimension determination, and work time analysis using the Maynard Operation Sequence Technique (MOST). The results indicate that the ergonomic press machine design is able to reduce production time compared to manual methods, increase work efficiency, and decrease workers’ physical workload. The implementation of this work aid is expected to enhance production capacity while improving ergonomic working conditions for SMEs.
Analysis of Raw Material Inventory in Production Planning and Control at PT. XYZ Deo Miliarna; Erni Puspanantasari Putri
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.10177

Abstract

This study was conducted to analyze the imbalance between the manufacture and use of raw materials in the plastic sheet production process at PT XYZ.. As a plastic manufacturing company with an injection molding-based production process, production planning and control (PPIC) plays a crucial role in ensuring the availability of appropriate raw materials to ensure optimal production without shortages or excess stock. Raw material usage data from January to August 2025 showed significant fluctuations and discrepancies between the amount of raw materials produced and used, necessitating an evaluation of material planning methods. This study applied several forecasting methods namely Single Exponential Smoothing and Moving Average to determine the most accurate raw material requirement prediction model. The analysis results showed that the 3-Period Moving Average was the best method with the smallest MAD value and was used as the basis for preparing the Master Production Schedule of 4,585 units per period. The Bill of Material calculation demonstrated efficient material conversion, while the estimation of raw material requirements provided a more accurate picture of procurement planning. Overall, the integration of forecasting, MPS and raw material requirement calculations supports increased production efficiency and more measurable and sustainable decision-making.
Redesigning The Layout of Finished Goods Warehouse Facilities Using The ARC Method At PT. XYZ Handy Febri Satoto; Satria Ardiansyah Saputra
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 01 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i01.10189

Abstract

PT XYZ is a company engaged in the manufacture of semi-finished wood products. Based on field observations, where products come in varying sizes and shapes, it is important to consider ergonomic aspects in layout design. Inefficiencies in the current warehouse layout were found, resulting in long material handling times and operational disruptions. The purpose of this study was to improve the layout of the finished goods warehouse area and facilities by redesigning the facility layout at PT XYZ to optimize the finished goods warehouse layout. This study used the Activity Relationship Chart (ARC) method and volume handling analysis. A redesign was proposed to improve space management and material flow. Data were collected through observation, interviews, data analysis, and discussion. The proposed layout minimizes material movement distance and improves accessibility and ergonomics. As a result, the original facility produced 26,480 units, while the proposed facility produced 15,772 units. There was a decrease in handling volume of 10,708 units, or 40.43%, after the layout change.
The Influence of Financial Literacy, Financial Technology, and Hedonistic Lifestyle on Gen Z’s Financial Behavior Megia Yarifuni; Felisia Ayuningtyas Marhanani
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.10265

Abstract

A person's social status is determined, in part, by their lifestyle. Many people prioritize their appearance and the items they use to demonstrate their social status. This trend has also given rise to financial technology systems to facilitate shopping for goods and other necessities. Lifestyle and the use of financial technology, if not balanced with adequate financial literacy, will lead someone into poverty. This study aims to determine the influence of financial literacy, financial technology, and a hedonistic lifestyle on the financial behavior of Generation Z. The data collected were primary data obtained through questionnaires. This study was quantitative, using statistical data processing. The hypotheses were tested using SmartPLS. The results indicate that financial literacy, financial technology, and a hedonistic lifestyle have a positive influence on the financial behavior of Generation Z
The Influence of Consumer Trust in Offline Stores and Perceived Confidence in Online Stores on Information Search Intention and Purchase Intention of Alfamart Consumers Abiya Fahira
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 12 No. 02 (2025): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v12i02.10266

Abstract

The rapid evolution of retail business models in Indonesia has driven retailers to integrate offline and online shopping channels in order to adapt to shifting consumer behaviors. Alfamart has responded to this transformation by combining its extensive physical store network with the Alfagift digital platform, thereby enhancing consumer access, convenience, and the availability of product information. This study aims to examine the influence of consumer trust in offline stores and perceived confidence in online stores on consumers’ information-seeking intention and purchase intention. A quantitative approach was applied by distributing structured questionnaires to 170 respondents who had prior experience shopping at both Alfamart and Alfagift. The data collected were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) to assess the structural relationships among the proposed variables. The findings indicate that consumer trust in offline stores and perceived confidence in online stores have significant effects on both information-seeking intention and purchase intention. Moreover, information-seeking intention is found to significantly mediate the relationship between trust, perceived confidence, and consumers’ eventual purchase intention.
Optimization of Workforce Placement in Box HEPA Production Using Workload Analysis Method to Fulfill Production Demand Muhammad Nico Adriya; Handy Febri Satoto
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.11114

Abstract

CV. XYZ experienced production inefficiencies due to workload imbalance among production departments, particularly in the Welding Division, resulting in bottlenecks, overtime, and the inability to consistently meet production demand. This study aims to determine the standard production time, evaluate worker workload, identify the optimal workforce allocation, and compare workforce planning alternatives to improve production efficiency. A quantitative approach was employed using direct observation, interviews, and stopwatch time studies involving 20 observations for each work element. Data were validated through uniformity and adequacy tests before calculating cycle time, normal time, standard time, and workload using the Workload Analysis (WLA) method. The findings indicate that the total standard production time for one Box HEPA unit is 217 minutes. Based on WLA, the production process requires six workers distributed across four production departments. Furthermore, capacity and cost planning identified an alternative workforce configuration consisting of four workers supported by planned overtime, reducing monthly labor costs from Rp 21,658,000 to Rp 15,379,030, resulting in a cost saving of Rp 6,278,970 (approximately 29%) while maintaining the required production capacity. The proposed approach enables a more balanced workload distribution, reduces labor inefficiencies, and supports better workforce planning in a make-to- order manufacturing environment. This study contributes by integrating time study, workload analysis, and capacity-cost planning into a practical decision-support framework that can assist small and medium-sized manufacturing enterprises in optimizing workforce allocation and improving operational performance.
Analysis of Workforce Workload for Production Efficiency Improvement in Sandal Manufacturing Using Workload Analysis and Cardiovascular Load Methods Hilbram Ramadaniel Setiawan; Jaka Purnama
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.11115

Abstract

This study aims to analyse workforce workload and determine the optimal number of workers in the sandal production process at UD. Al Athyyah Mojokerto using the Workload Analysis (WLA) and Cardiovascular Load (CVL) methods. The company experiences workload imbalances across several production sections, resulting in bottlenecks and the inability to meet production demand. Average monthly demand reaches 5,000 pairs of sandals, whilst actual production only reaches approximately 4,700–4,800 pairs. Data collection was conducted through direct observation, interviews, and stopwatch time studies in the cutting, sewing, assembly, and finishing sections. The collected data were processed to calculate cycle time, standard time, workload percentage, and cardiovascular load values to evaluate both operational and physiological workload conditions. The results show that several workstations are categorised as overloaded, namely Cutting 1 (124%), Sewing 1 (106%), Sewing 2 (117%), Sewing 3 (108%), Sewing 4 (127%), Assembly 3 (102%), and Finishing 2 (105%). Meanwhile, several other activities were classified as underloaded. The CVL analysis indicates that most workers experience moderate to heavy physical workloads, particularly in the sewing and assembly sections, which may lead to worker fatigue and reduced productivity. Based on the analysis results, additional workers are required in overloaded workstations to achieve a more balanced workload distribution and improve production efficiency. The integration of WLA and CVL methods provides a comprehensive evaluation of workforce conditions and supports workforce planning in labour-intensive manufacturing industries.
Optimal Raw Material Planning To Minimize Out of Stock Costs Using The Material Requirement Planning Method Rudy Setiawan; Siti Mundari
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.11131

Abstract

UD. Podo Moro, a folding ironing board manufacturer in Surabaya, experienced recurring Out of Stock (OOS) conditions caused by fluctuating demand, long supplier lead times, and the absence of a structured raw material planning system. These conditions resulted in production delays, emergency purchasing activities, and increased operational costs. This study aims to optimize raw material planning and minimize inventory costs through the implementation of the Material Requirement Planning (MRP) method. Demand forecasting was conducted using three quantitative methods, namely Moving Average (MA), Weighted Moving Average (WMA), and Exponential Smoothing (ES). The selected forecasting results were then used to develop Aggregate Planning and a Master Production Schedule (MPS). Furthermore, MRP calculations were performed using three lot sizing techniques: Lot for Lot (LFL), Economic Order Quantity (EOQ), and Fixed Order Quantity (FOQ). The results indicate that the Moving Average (MA) method produced the most consistent forecasting accuracy based on Mean Absolute Deviation (MAD) values and tracking signal analysis. Among the evaluated lot sizing techniques, the EOQ method generated the lowest total inventory cost of Rp 346,275,216, compared to Rp 417,215,710 for LFL and Rp 488,289,859 for FOQ during the January–June 2026 planning period. The implementation of MRP proved capable of improving procurement scheduling, reducing inventory shortages, minimizing emergency purchasing activities, and enhancing operational efficiency. Therefore, the EOQ-based MRP approach is recommended as the most effective strategy for minimizing OOS costs at UD. Podo Moro.
Performance Evaluation of the Pressing Process to Improve Electrical Energy Efficiency at PT ISM Bogasari Flour Mills Surabaya Anggara Adji Prananta; Handy Febri Satoto
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol. 13 No. 01 (2026): Jurnal Rekayasa Sistem & Industri
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v13i01.11176

Abstract

This study aims to evaluate the performance of the pressing process as an effort to improve electrical energy efficiency in the Pelletizing Division of PT ISM Bogasari Flour Mills Surabaya. The research problem is based on the unachieved Key Performance Indicator (KPI) target for the electrical energy consumption ratio of 17.5 kWh/ton, where the actual consumption in 2024 reached 18.705 kWh/ton. The study employs the Objective Matrix (OMAX) method to measure productivity levels based on several performance indicators covering labor, machinery, raw materials, and electrical energy. Research data were obtained from operational production data for the period of July to December 2024. The analysis results indicate that the pressing process accounts for the largest share of energy consumption at 81.23% of total electrical energy waste in the pelletizing process. The implementation of a corrective action in the form of a reprocess raw material pathway relayout was proven effective in improving press machine work effectiveness and reducing electrical energy consumption. The average OMAX productivity increased from 5.10 to 5.34, while the average electrical energy consumption decreased from 18.80 kWh/ton to 16.12 kWh/ton. Furthermore, the company's electrical energy consumption KPI target was successfully achieved following the implementation of the improvement.

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