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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 364 Documents
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A STUDY OF RESEARCH PAPER-BASED QUESTIONNAIRE DESIGN METHODS USING CO-OCCURRENCE NETWORKS Fujiyama, Kojiro; Masuda, Koji; Oktavianty, Oke; Haruyama, Shigeyuki
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 1 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

The creation of questionnaire forms based on research papers has been done for various purposes. In previous studies, the surveyor intentionally created questions to be used in questionnaires based on secondary research and the knowledge of the researcher, and it is unclear what procedure was used to create the questions. Therefore, in this study, we examined and discussed methods of mechanically creating questions based on a review of research papers. As a result, we proposed a new method to create questions by mechanically combining words obtained from the article search, text mining of extracted articles, and co-occurrence word search. 
AN ANALYSIS : RELATIONSHIP BETWEEN WORKLOAD AND MENTAL HEALTH ON HEATHCARE WORKERS Salsabila, Zulfi Fathiya; Dharmastiti, Rini
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 1 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

Mental health is an important part in addition to physical health. Mental health problems are also faced by health workers due to the relatively high burden in their work. Based on the targets of the Sustainable Development Goals (SDGs), mental health is one of the areas of health and well-being. On the other hand, excessive workload is a source of fatigue, which is the root of burnout. The purpose of this study is to analyze the relationship between workload and mental health of health workers in a hospital. This study used a non-experimental method, namely cross sectional. Data were obtained from 49 respondents through a survey using an online questionnaire distributed by convenience sampling method. Respondents consisted of doctors (specialist and general), nurses, midwives, and pharmaceutical technical personnel. The workload questionnaire was adopted from the NASA-TLX, while mental health used the MBI-TBI. Relationship analysis was conducted using PLS-SEM using SmartPLS 4.0. The workload results obtained from this study were 65.87 or in the high category, with an allocation of very high workload of 27%, high as much as 53%, somewhat high 18%, and medium 2% of the total respondents. Factors related to mental load, physical load, and effort are the most dominant factors. The results for mental health obtained that emotional exhaustion in health workers is in the medium category (51%), personal achievement in the high category (80%), and for depersonalization in the high category (57%). The results of the correlation test between workload and the three factors on mental health found that workload has a significant relationship with the factors of emotional exhaustion and depersonalization (cynicism) with a probability of both <0.005, namely 0.000 and 0.001. The results of this study indicate that workload in health workers affects mental health, namely emotional exhaustion by 0.457 and depersonalization by 0.397. Thus, in order to maintain the mental health of health workers, intervention recommendations need to be made according to the results of this study.workload; mental health; healthcare workers, NASA-TLX; PLS-SEM
A MODIFICATION OF TIBREWALA, PHILIPPE, AND BROWNE'S ALGORITHM FOR MULTI-SHIFT MANUFACTURING WORKERS SCHEDULING Wahyudi, Adhie Tri; Zendrato, Rosleini Ria Putri; Indrasari, Anita; Suparti, Erni; Prayuda, Fendi; Cahyawati, Amanda Nur
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 1 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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

Abstract

The SME under study, which specializes in hard wooden and leather furniture for foreign markets, encountered difficulties in integrating their make-to-order production system with tight shipping export deadlines. This necessitated a systematic worker scheduling technique in order to satisfy production targets and reduce labor expenditures. The aim of this research was to design a worker scheduling system to ensure that the production makespan corresponded to the available time limitations. The study found that the Tibrewala, Philippe, and Browne algorithm for multi-shift workers scheduling significantly reduced labor costs while ensuring order fulfillment within predefined constraints, emphasizing the need for additional research that includes all production cost variables for more comprehensive cost savings.
SIMULATION OF WELDING WORKBENCH DESIGN FOR STUDENTS' PRACTICAL WORK LEARNING USING DIGITAL HUMAN MODELING Abryandoko, Eko Wahyu
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 2 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

The design of a welding workbench for the learning process must consider the risks of musculoskeletal disorders (WMSDs). This study aims to develop an ergonomic welding workbench design to reduce the risk of awkward working postures, such as excessive neck flexion and elevated arm positions during welding. Using a digital human modeling simulation approach with Catia V5 R21 software, the design was evaluated based on ergonomic parameters, including LBA, OWAS, CA, and RULA. This study fills a gap in ergonomic literature by providing a quantitative evaluation model tailored to the body postures of Indonesian students. The results reveal that Alternative Design I has superior specifications, including adjustable table height, permanent welding component clamps, and a table tilt angle of up to 30 degrees. The workbench reduces spinal stress and improves working comfort. OWAS analysis indicates reduced musculoskeletal system risks, while RULA evaluation demonstrates improved comfort levels with adjustable table heights. Practical applications of these findings include enhancing safety and efficiency in welding learning processes at educational institutions. The design improves students' productivity and health by providing a more ergonomic working environment. This research lays the groundwork for further development of adaptive ergonomic workbench designs tailored to local needs and recommends future studies to explore applying similar technologies in other fields.
OPTIMIZATION OF FLEET UTILIZATION AND WAITING TIME IN SUPPLY CHAIN AGENT-BASED SIMULATION USING REINFORCEMENT LEARNING Tama, Ishardita Pambudi; Sujarwo, Sujarwo; Hardiningtyas, Dewi; Nugroho, Willy Satrio; Salsabila, Dhia Naqqiya
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 1 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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

Abstract

Inventory to transport transition was a critical operation that requires high efficiency in manufacturing. This study models the inventory transition of manufacturing plants in a supply chain network. The objective was to configure the minimum fleet utilization with fastest waiting time.  The configuration was performed using reinforcement learning assisted agent-based model (ABM) simulation. The ABM with fleet speed control have the best performance with average waiting time of 5.84 hours with lowest fleet utilization which surpasses other models. Lower fleet and waiting time provide rest periods for the driver. Therefore, performing speed control during transport improves human factor of the supply chain operation.
SELECTION OF GOODS DELIVERY SERVICES BASED ON CUSTOMER RELATIONSHIP MANAGEMENT AND SAW METHOD Wahyudien, Mohammad Arief Nur; Ahistasari, Asih; Kayatun, Siti Nur; Gani, Mardhiah; Wattihelu, Syaiful Akbar
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 2 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

Goods delivery services are a principal element in supporting online buying and selling sites. Every year, user figures Internet in Indonesia the more increase value. Matter This in line with change paradigm society which prefer to shop online, where this can save time and the price of goods Which competitive between seller Which One with Which other. Public can choose type service Which will become considering options, choosing a goods delivery service is very important and must be in accordance with the criteria and category of the desired delivery service. The purpose of this research is to select delivery services based on Customer Relationship Management with approach 5 W+1H And know application Simple Additives Weighting (SAW) for selecting the best delivery service as a solution to make it easier for online shop users to choose a delivery service. Based on data collection, the result was that the best delivery service was JNE with a total of 46 respondents using the delivery service and the largest result was 1. After that, service delivery J&T Where amount user service delivery as much 44 respondents with results end of 0.94490. So, based on data analysis using the Simple Additive Weighting method, the best delivery service according to the criteria is JNE.
UNDERSTANDING COGNITIVE LOAD IN HUMAN-MACHINE INTERACTIONS AT MRT TICKET VENDING MACHINES: A NASA TLX EVALUATION Sugiono, Sugiono; Lukodono, Rio Prasetyo; Sudjono, Harry; Prathama, Kevin Aditya
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 2 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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

Abstract

The provision of Mass Rapid Transit (MRT) and its supporting facilities in Jakarta necessitates an analysis of their user-friendliness for passengers. These facilities include information on various locations such as toilets, mosques, MRT card counters, ticket vending machines (TVMs), and signage directing passengers to the MRT. TVMs are machines that enable passengers to purchase MRT tickets and top up their card balances. A crucial aspect of evaluating TVM performance is assessing their user-friendliness, which is determined by the ease with which passengers can understand and operate them. This study aims to analyze the user-friendliness of TVMs at MRT stations using the NASA TLX approach. NASA TLX evaluates the impact of using TVMs based on mental, physical, and temporal demands, as well as performance, effort, and frustration. Data were collected through accidental sampling of respondents aged 18 - 28. The NASA TLX questionnaire explored users' cognitive perceptions of the TVMs' displays and procedures. The results will reveal how the factors measured by NASA TLX influence the interaction between passengers and TVMs at MRT stations. The findings will provide recommendations for MRT managers to enhance TVM designs and modify display procedures to improve user satisfaction.
OPTIMIZING EVACUATION ROUTES IN INDONESIAN URBAN SETTINGS WITH RESIDENTIAL AND SMALL INDUSTRIAL ZONES USING PATHFINDER SIMULATION Hardiningtyas, Dewi; Tama, Ishardita Pambudi; Sholihah, Qomariyatus; Aprilisia, Nita
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 1 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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

Abstract

The rapid urbanization in Indonesia has resulted in increased complexity within its urban settings, particularly in areas combining residential and small industrial zones. Effective evacuation planning is crucial to ensure the safety of inhabitants during emergencies. This study explores the optimization of evacuation routes in such mixed-use urban areas using Pathfinder simulation software. Two scenarios were examined: one with two assembly points and another with three assembly points. The simulations were conducted in a densely populated area in Malang City, Indonesia known for its combination of residential and small industrial units. The results indicate that the scenario with three assembly points significantly enhances evacuation efficiency compared to the two-assembly point scenario. Specifically, the three-assembly point configuration reduced overall evacuation times and minimized congestion at critical junctures, allowing for smoother and faster evacuation flows. The findings underscore the importance of strategically placing assembly points to improve the distribution of evacuees and reduce potential bottlenecks. This study contributes to the body of knowledge on urban evacuation planning in mixed-use settings and provides practical insights for urban planners and emergency management authorities in Indonesia. The use of advanced simulation tools like Pathfinder offers a valuable approach to optimize evacuation strategies, ensuring better preparedness and response in the face of urban emergencies.
A FRAMEWORK FOR OBSERVATIONAL DATA-BASED RESPONSE SURFACE METHODOLOGY Hadiyat, Mochammad Arbi; Sopha, Bertha Maya; Wibowo, Budhi Sholeh
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 2 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

Response Surface Methodology (RSM) is an integrated tool for optimization purposes based on an experiment; it consists of three stages of analysis, i.e., the design of experiment (DoE), causality modeling, and response optimization. The designed experiment ensures the researcher fully controls all factors that potentially influence the response and simultaneously fulfills the orthogonal assumption among factors. On the other side, conducting DoE for a continuous production process raises difficulties since it should be interrupted during experiment runs. Meanwhile, the rapid development of production data acquisition systems provides stored records or observational data with potentially useful information for supporting process optimization. This paper proposes an alternative framework for adopting observational data for RSM analysis. Referring to three stages of classic RSM and adopting the instance selection concept in the data mining context, the proposed framework aimed to achieve an observational data condition similar to an orthogonal D-optimal DoE based on criteria of Variance Inflation Factor (VIF) and determinant of matrix containing factor levels. It starts by applying a genetic algorithm for iteratively selecting an orthogonal subset of observational data and generating new actual experiment points to satisfy an orthogonality criterion. Then, a linear RSM model is fitted and continued by adding new experiment points. Then a standard numerical optimization method is applied to search among factor levels that optimize the response. A simulated data-based case study was taken in this paper, aiming to maximize a response of a production process with some pre-determined factors. The proposed framework has been implemented successfully, orthogonality of the data subset is achieved, and an optimal solution is found. Both criteria show the acceptable result and raise some improvement opportunities
OPTIMIZING CIRCULAR ECONOMY PRACTICES IN NIGERIAN CONSTRUCTION: EFFECTIVE STRATEGIES FOR WASTE REDUCTION AND RESOURCE EFFICIENCY Unegbu, Hyginus Chidiebere Onyekachi; Yawas, Danjuma S.; Dan-asabe, Bashar; Alabi, Abdulmumin Akoredeley
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 12 No. 2 (2024)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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Abstract

This study explores the current state of circular economy (CE) practices in the Nigerian construction industry, identifying key challenges and opportunities for their implementation. Utilizing a mixed-methods approach, data were collected from 200 survey participants and 20 key informants through structured surveys and semi-structured interviews. The quantitative data were analyzed using descriptive and inferential statistics, including regression and factor analysis, to uncover the relationships between variables and the underlying dimensions of barriers to CE adoption. The findings reveal that while there is a moderate level of awareness and implementation of CE practices, such as waste segregation and the use of recycled materials, these practices are not yet widespread. Major barriers identified include lack of awareness, high implementation costs, and insufficient regulatory support. Specifically, 75% of respondents cited lack of awareness as a significant barrier, and 80% identified high costs as a deterrent. Regression analysis indicated that awareness level, regulatory support, and company size positively influence CE practice adoption, while perceived cost has a negative impact. The study also highlights positive perceptions towards CE practices among industry professionals, with 85% of respondents recognizing their importance for the future of the construction industry. Factor analysis revealed three main dimensions of barriers: financial, awareness and education, and regulatory and policy barriers. Based on these findings, the study recommends targeted educational programs to increase awareness, financial incentives to mitigate cost barriers, and stronger regulatory frameworks to enforce sustainable practices.

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