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INDONESIA
Journal of Engineering and Management in Industrial System
Published by Universitas Brawijaya
ISSN : 23383925     EISSN : 24776025     DOI : -
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Journal of Engineering and Management in Industrial System is a peer reviewed journal. The journal publishes original papers at the forefront of industrial and system engineering research, covering theoretical modeling, inventory, logistics, optimizations methods, artificial intelligence, bioscience industry and their applications, etc.
Arjuna Subject : -
Articles 10 Documents
 1 
Search results for , issue "Vol. 13 No. 1 (2025)" : 10 Documents clear
ANALYSIS OF MENTAL WORKLOAD ON FORKLIFT OPERATORS DUE TO CHANGES IN ENVIRONMENTAL LIGHT INTENSITY Nurbi, Rahma Sabilah; Sugiono, Sugiono; Nursasongko, Mega
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2025.013.01.2

Abstract

Forklift operation in industrial and warehousing environments often exposes operators to frequent transitions between areas with contrasting light intensities. These abrupt changes in ambient brightness, particularly when moving between indoor and outdoor spaces, can impose significant cognitive demands on operators. This study investigates the impact of fluctuating environmental light conditions on the mental workload experienced by forklift operators and its potential implications for their performance, safety, and well-being. This study uses an experimental design using a driving simulator where respondents are given different light intensities to complete the designed tasks.  The findings reveal that sudden light fluctuations can temporarily impair visual acuity, depth perception, and contrast sensitivity, necessitating increased cognitive effort to maintain situational awareness, evaluate potential hazards, and navigate safely. Where the respondent's cognitive load was measured using the NASA-TLX questionnaire.  Furthermore, excessive brightness or glare can cause eye strain, fatigue, and discomfort, exacerbating mental workload. Elevated mental workload due to changing light conditions was found to be associated with diminished situational awareness, impaired decision-making abilities, decreased reaction times, and increased accident risks. Sustained cognitive effort to compensate for visual challenges also contributed to mental fatigue, potentially reducing productivity and operational efficiency. This study highlights the need for appropriate lighting designl modifications to mitigate the mental workload imposed by fluctuating light conditions in forklift operations.
PROJECT IDENTIFICATION AND SELECTION TO PRIORITIZE THE BEST ALTERNATIVE PROJECT Dwiarso, Adhi Priyo; Siahaan, Uke Marius; Damayanti, Sylviana Maya
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2025.013.01.1

Abstract

This study develops a project prioritization framework for a cement manufacturing company, integrating economic, social, technical, and environmental metrics, specifically Net Present Value (NPV), Social Return on Investment (SROI), Thermal Substitution Rate (TSR), and CO2 emissions. The research addresses a critical gap in project prioritization studies by combining traditional economic metrics with sustainability-focused indicators, essential for the cement industry’s transition toward alternative fuel adoption. Using data from three alternative fuel projects, which are Waste Tire Pyrolysis, Biochar, and RDF. The study employs Analytical Hierarchy Process (AHP) for determining weights, Weighted Scoring for evaluating projects, and Monte Carlo Simulation to account for uncertainty in decision-making and creating scoring table. The results showed that Waste Tire Pyrolysis Project was the most balanced alternative, with the best performances in the financial, social, and environmental dimensions. This underlines the critical importance of adopting multi-criteria decision-making frameworks in tackling complex challenges that industries face, especially in sectors where sustainability has become a core priority.  Keywords: Project Prioritization, Multi Criteria Decision Making, NPV, SROI, TSR, CO2 Emission
ANALYSIS OF HEALTHCARE SERVICE QUALITY IN GOVERNMENT HOSPITALS USING CLUSTERING METHODS Tuhfah, Riesa Aliya; Novareza, Oyong; Andriani, Debrina Puspita
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Hospitals play a crucial role in delivering healthcare services, directly influencing public health and overall well-being. Evaluating service quality is essential for enhancing patient satisfaction, as healthcare institutions must meet patient expectations to ensure effective service delivery. This study assesses hospital service quality using the Servqual model and clustering techniques to analyze patient perceptions. The Servqual framework evaluates five dimensions: tangibility, reliability, responsiveness, assurance, and empathy. A structured questionnaire was used to gather patient responses, utilizing a Likert scale to measure expectations and perceptions. Clustering techniques, including K-Means and Fuzzy C-Means, were applied to segment patient perception data, revealing four service quality categories: "Very Bad" (5%), "Bad" (40%), "Good" (14%), and "Very Good" (40%). Both clustering methods produced identical classifications, highlighting key areas requiring improvement. Among the service attributes assessed, parking area conditions received the lowest ratings, identifying them as a priority for enhancement. To address these issues, recommendations include resurfacing parking areas, implementing clear parking markings, and improving directional signage to enhance accessibility and overall patient experience. This study demonstrates the effectiveness of integrating Servqual with clustering methods in identifying service gaps and prioritizing improvements. By adopting a data-driven approach, hospitals can enhance service delivery, optimize resource allocation, and improve patient satisfaction. The findings provide valuable insights for hospital management and contribute to future research on healthcare service quality enhancement.
OPTIMIZATION OF MANPOWER PLANNING ON WORKLOAD PROFILE-BASED PRODUCTION FLUCTUATIONS Al Ghifar, M Habibul Ichwan; Sugiono; Efranto, Remba Yanuar; Sholihah, Qomariyatus
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2025.013.01.3

Abstract

Workforce planning is a crucial aspect of optimizing labor efficiency in the Soya Department, particularly given fluctuating demand during peak, regular, and low seasons. This study aims to evaluate and recommend workforce planning using Workload Analysis (WLA) and Fault Tree Analysis (FTA) to identify workload imbalances and their root causes. The Process Activity Mapping (PAM) method is employed to analyze each general activity in detail. Initial findings indicate that certain areas experience workload overload, particularly in the warehouse section, where workloads exceed 125% during low season and 133.3% in regular and peak seasons. By adjusting manpower allocation, workload levels were successfully balanced to 100% (inload condition) across all seasons. Furthermore, FTA identified key factors contributing to workload imbalances, such as inefficient task distribution and process delays. The proposed manpower planning strategy significantly reduces dependency on overtime and outsourced labor, leading to increased productivity and cost efficiency. This research provides a structured framework for workforce optimization, offering practical insights for labor management in fluctuating demand environments.
COST ANALYSIS ON HYDROGEN REFUELING STATION USING OPERATIONAL, STORAGE, AND DISTRIBUTION MODEL SIMULATION Roesiana Dewi, Aisshah; Sumantri, Yeni; Kusumaningdyah, Widha; Hanafi Ichsan, Mochammad Hannats; Irawan, Yudy Surya
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2025.013.01.5

Abstract

The burgeoning interest in low-emission mobility has led to a focus on Hydrogen Refueling Stations (HRS) in developing nations such as Indonesia. This study, unique in its assessment of the techno-economic feasibility of two distinct HRS configurations, delves into the cascade storage system, which involves storing hydrogen in a series of pressure vessels, and the booster compressor system, which utilizes a compressor to elevate the hydrogen's pressure. The evaluation considers projected daily demand scenarios of 413 kg/day and local economic factors adjusted for inflation. A meticulous and comprehensive discrete event simulation model was developed to encapsulate the operational dynamics inherent in each scenario under consideration. This model, which incorporates key factors such as fueling time, cascade priority logic, and hourly vehicle arrival patterns, ensures that the audience is fully informed and knowledgeable about the study's findings. In conjunction with this, an economic analysis was conducted employing the robust Levelized Cost of Hydrogen (LCOH) and Rate of Return (ROR) frameworks. The study utilized specified financial parameters, including a 5.75% real discount rate, a 15-year analytical horizon, and cost adjustments to reflect the 2025 Indonesian Rupiah. The model aims to provide a robust understanding of hydrogen fueling systems' economic viability and operational efficiency in the specified context through these methodologies. The results show that the cascade system yields a lower LCOH (IDR 41.017/kg) and capital cost per kg compared to the booster system (IDR 70.833/kg). However, both reach breakeven within 9.5 years. The booster is less advantageous in smaller-scale deployments because of its higher compression efficiency and capital investment requirements. The higher requirement for capital investment and compressing efficiency. The economic feasibility of HRS configurations may be considerably enhanced by methods to boost hydrogen sales and control capital expenditure, providing a bright future for hydrogen fueling systems.
EXPLORING THE INFLUENCE FACTORS IN CONSUMER PREFERENCES TOWARDS CAFE SELECTION: AN EMPIRICAL STUDY Maritsha, Kamila; Kusuma, Lalu Tri Wijaya Nata; Dania, Wike Agustin Prima; Andriani, Debrina Puspita
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2025.013.01.4

Abstract

This study aims to identify the key factors influencing consumer purchasing decisions in the café industry in Malang City, Indonesia. With the rapid growth of café businesses in the region, understanding the preferences and behavioral patterns of café consumers has become crucial for developing effective marketing strategies. This research combines K-Means clustering and Structural Equation Modeling (SEM) to explore the influence of four main variables: marketing mix, café atmosphere, service quality, and electronic word of mouth (E-WoM). The study began by segmenting consumers based on their monthly income and café expenditure, resulting in four distinct clusters: low income–low expenditure, high income–high expenditure, high income–low expenditure, and moderate income–moderate expenditure. Validity and reliability tests confirmed the consistency and accuracy of the measurement instruments, with all indicators passing Confirmatory Factor Analysis (CFA) criteria, and most meeting the threshold for convergent validity through Exploratory Factor Analysis (EFA). The SEM analysis revealed that each segment responded differently to the influencing factors: service quality was significant for Cluster 1, while Cluster 2 was influenced by marketing mix, service quality, and E-WoM. Cluster 3 showed no significant influence from any variables, and Cluster 4 was mainly influenced by E-WoM. These findings suggest the need for segment-specific marketing and service strategies, such as enhancing interpersonal service for lower-income consumers and improving digital engagement for mid-range market segments.
A SOFTWARE-BASED APPROACH TO WORK POSTURE ASSESSMENT: INTEGRATION OF OWAS AND ROSA USING THE WATERFALL MODEL Indrawati Kinasih; Sugiono; Lukodono, Rio Prasetyo
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Work-related Musculoskeletal Disorders (WMSDs) remain one of the most significant occupational health burdens worldwide, underscoring the need for practical, efficient, and cost-effective tools for ergonomic assessment. The Ovako Work Analysis System (OWAS) and Rapid Office Strain Assessment (ROSA) are widely used methods for evaluating work posture, but their manual or desktop-based implementations often require multiple devices, involve longer processing times, and lack integrated user guidance. This study aims to develop and evaluate a mobile application that integrates both OWAS and ROSA methods using the Waterfall software development model. The application was built on the Flutter framework using the Dart programming language and tested on Android devices. Key features include posture data capture via camera or image gallery, automated risk scoring, and result visualization with actionable posture improvement recommendations. Functional, accuracy, and performance tests confirmed that the application produces the same final scores as manual methods, while significantly reducing analysis time and eliminating the need for additional supporting tools. A PIECES framework analysis comparing the manual and mobile systems further revealed improvements in performance, information delivery, cost-efficiency, data control, and user experience. This research concludes that the application effectively addresses the limitations of conventional assessment tools and has the potential to streamline posture evaluation processes in both industrial and office settings
DESIGN OF A TESTING SYSTEM FOR THE STRETCHABILITY OF MOZZARELLA CHEESE USING THE DESIGN FOR SIX SIGMA (DFSS) METHOD Utama, Made; Oktavianty, Oke; Darmawan, Zefry
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

Abstract This research was driven by the growing demand for mozzarella cheese and the need for better quality control, especially in testing its stretchability. Current manual methods like the fork test are subjective and inconsistent. To address this, the study aimed to design a simple, cost-effective, and user-friendly stretchability testing system using the Design for Six Sigma (DFSS) approach, which includes the Define, Measure, Analyze, Improve, and Verify stages. In the Define stage, interviews with CV Narendra Food and PT Greendfields Indonesia revealed current testing practices involve heating cheese at 160°C for 6 minutes and visually assessing its stretch. Key challenges include inconsistent heating and measurement variation. Users expressed the need for an automatic, consistent, and safe testing system made from food-grade materials like stainless steel 304, with added safety features and easy operation. In the Measure stage, user needs were prioritized through questionnaires and translated into technical requirements using a House of Quality (HoQ). A FAST Diagram was also used to identify primary and supporting functions. The Analyze stage produced eight design concepts using a morphology chart, evaluated based on technical criteria and user needs. Concept 1 was selected as the best design, featuring two-way pulling, convection-conduction heating, RTD PT100 sensors, and a stainless steel body. The design was modeled using SolidWorks, with components detailed and costs estimated. In the Verify stage, simulations tested and refined the design. User feedback on the 3D design was positive, noting its ease of use, safety, speed, and cost-effectiveness. Though users suggested a more compact size, they considered the machine highly suitable for both small and large-scale cheese production. Ultimately, the system offers a semi-automated, efficient, and standardized alternative to manual testing methods in the mozzarella cheese industry.
DESIGN OF GREEN INDUSTRY EVALUATION SYSTEM WITH SIX SIGMA APPROACH Nur Afia Tri Ningrum; Ishardita Pambudi Tama; Oke Oktavianty
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2025.013.01.6

Abstract

This research aims to design a green industry evaluation system using the Six Sigma approach to support self-assessment in manufacturing companies. The proposed framework integrates the three main dimensions of production process, waste management/emission performance, and company management into a structured evaluation system that includes relevant indicators for each dimension. The methodology used adopts the Define, Measure, Analyze, Improve, and Control (DMAIC) cycle, where each stage is designed to identify gaps, evaluate current performance, and propose systematic improvements. The validation phase was conducted using a questionnaire distributed to two respondents in a manufacturing company: a quality control officer and a manager. The results showed that the evaluation system was able to effectively assess green industry performance, with indicators reflecting the company's sustainability practices. Feedback confirmed the clarity, practicality and potential of the system to support continuous improvement. This study contributes a practical model that can be adopted by manufacturing companies to measure and improve their green industry performance to align with sustainable development goals.
A FOOD LOSS BEHAVIOR MODEL FOR MICRO, SMALL AND MEDIUM ENTERPRISES IN AN AGRICULTURAL SUPPLY CHAIN Noor, Vicky Rizky; Octavia, Johanna Renny; Sitompul, Carles
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 13 No. 1 (2025)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/

Abstract

The study about supply chain is always interesting especially in the Micro, Small, and Medium Enterprises (MSMEs). This study is based on the phenomenon that MSME, especially from the production, post- harvest, and packaging section, is contributing the biggest food loss in a food supply chain in Indonesia. This paper tries to apply the extended theory of planned behavior as a framework to examine the behavior of MSME owners. The factors that are going to be examined are subjective norms, attitude towards behavior, perceived behavioral control, knowledge, spirituality, infrastructure, and price stability. The respondents of this study are the owners of MSME, especially the production, post-harvest, and packaging section of the food supply chain in West Java, Indonesia.

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