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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 7 Documents
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Search results for , issue "Vol. 12 No. 2 (2024)" : 7 Documents clear
EVALUATION OF THE APPLICATION OF GOOD MANUFACTURING PRACTICE AND SANITATION STANDARD OPERATING PROCEDURES IN PRODUCTION PROCESS Candrianto, Candrianto; Mouludi, Isra; Sipahutar, Erwinsyah
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 aims to evaluate the application of the basic requirements of food safety standard, namely GMP and SSOP during the production process. The observations method for data collection in this study was through interviews of workers and owners. Evaluate of GMP and SSOP was carried out to see the effectiveness of conformity and non-conformity measures in carrying out the production process. The results of this study stated that the conformity assessment of the evaluation of the application of GMP and SSOP obtained a value of 42.50%-84.00%, with a deviation value of 185 from the overall value of 528 which means deviations in the moderate level so that the application of the GMP is said to be less in accordance with the provisions of the Regulation of the Minister of Industry No. 75 of 2010. The conformity assessment of the application of the SSOP obtained a value between 20.00%-84.00%, with a deviation value of 45 from the overall value of 160 which means that the deviation is in a moderate level or does not meet the FDA's provisions regarding SSOP as stated by government regulation, Number 28 of 2004 concerning food safety, quality, and nutrition. The high rate of deviations in the application of GMP and SSOP indicates a low level of contamination prevention during the production process. 
IMPROVING THE LOGIN AND NEWS FEATURES WITH FINGERPRINT AND CARD LAYOUT: AN EVALUATION OF CONVERSION RATE AND USABILITY Yogastama, Reyhan Ardiya; Kharisma, Agi Putra; Santoso, Nurudin
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 discipline of human factors or also known as ergonomics focuses on interactions between humans and artifacts. One example of such an artifact is a smartphone. Currently, many smartphones are equipped with various sensors, one example is the fingerprint sensor. Fingerprint sensors offer various conveniences, an example of their use is to simplify the login process. This research uses the Gapura UB application as a case study. Currently the Gapura UB application does not yet implement fingerprint login, so it is not yet known whether Gapura UB users will prefer to log in using the conventional method (email and password) or using a fingerprint. Apart from that, this research also investigated the usability of news features of Gapura UB when implementing a card layout (as a treatment) compared to the original version which uses a list layout (as a control). To answer these research problems, this research uses an experimentation with the research subjects from the students of Teknik Informatika, FILKOM UB and the research objects are conversion rate and usability. The conversion rate measurement involved 30 unmoderated participants, whereas the usability measurement involved 10 moderated within group participants. The results obtained on the fingerprint login conversion rate show that most participants prefer to use fingerprint login (73% ± 17%) rather than conventional login methods. Meanwhile, the results of the usability test on the news feature using the card layout showed that there was an increase in retention time (51 ± 15 seconds) compared to the original version which used the list layout (31 ± 14 seconds). The score of measurements using the system usability scale also show an increase in the card layout (90 ± 5) compared to the list layout (65 ± 15).
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.
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.
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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