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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 3 Documents
 1 
Search results for , issue "Vol 12, No 2 (2024): (in process)" : 3 Documents clear
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): (in process)
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
UNDERSTANDING COGNITIVE LOAD IN HUMAN-MACHINE INTERACTIONS AT MRT TICKET VENDING MACHINES: A NASA TLX EVALUATION Sugiono, Sugiono; Lukodono, Rio Prasetyo; Sudjono, Harry
JEMIS (Journal of Engineering & Management in Industrial System) Vol 12, No 2 (2024): (in process)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

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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 years. 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.
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): (in process)
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. 

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