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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 364 Documents
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DEVELOPMENT OF BUSINESS STRATEGIES USING QSPM AND SWOT ON SNAIL CHIPS Indrasari, Lolyka Dewi; Widodo, Silvi Rushanti
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 8 No. 2 (2020)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2020.008.02.7

Abstract

Strategy in the snail chips business is the topic of this research. The purpose of this study is to determine the position of the company based on the SWOT results and the sequence of alternative strategies found on QSPM. The stages of this research were to make observations at PT.X to determine the strengths, weaknesses, opportunities, and threats of the snail product. The results obtained by the company lie in quadrant II with a suitable strategy to increase resistance to reduce the danger that comes, while the order of the choice of method is first to strengthen cooperation with new collectors, second to improve quality better than competitors, third to plan delivery schedules if the volume of demand increases. Suggestions that can be used by related companies are implementing alternative strategies on an ongoing basis and periodically evaluating them.
INDUSTRIAL ECOLOGY AS THE PRECURSOR GRAND THEORIES TO CIRCULAR ECONOMY: BIBLIOGRAPHIC MAPPING OF 112 LITERATURE Sitadewi, Dania; Yudoko, Gatot; Okdinawati, Liane
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 9 No. 2 (2021)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstract: Environmental degradation require business to rethink their way of doing business. Industrial Ecology (IE) is a paradigm change that allows a cyclical resource-use in which Circular Economy (CE) rethink and recycle the waste generated into a industrial input, thereby reducing environmental burden. Industrial Ecology (IE) is one of the most referenced grand theories for Circular Economy (CE). This research aims to map IE to CE bibliographically to identify research trends, prominent researchers, and countries with the most publication. This research's methodology is bibliographic mapping of 112 articles using VOSviewer in three steps: data acquisition, data processing, and visual output. This research has identified three research findings. The first finding is the identification of five clusters that correspond with the current research trend. The second finding is identifying Geng Y., Lai K.H., and Zhu Q. as the leading researchers for CE and IE. The third finding is China is the leading country for CE and IE research. The implication is China aiming to transform its industry into environmentally more sustainable. Future research topic venue can incorporate other grand theories to expand the theoretical and practical focus of CE.
A SYSTEMATIC LITERATURE REVIEW OF LEAN SIX SIGMA IN VARIOUS INDUSTRIES Kurnia, Hibarkah; Purba, Humiras Hardi
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 9 No. 2 (2021)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2021.009.002.3

Abstract

The Lean Six Sigma / LSS approach has received a lot of attention in various industrial sectors, from the manufacturing industry to the service industry. More specific knowledge about Lean Six Sigma has grown rapidly. Much of the training and research on Lean Six Sigma is carried out in various industries. This literature review is related to LSS's purpose to provide an overview of Lean Six Sigma implementation in the manufacturing industry.  The Lean Six Sigma approach introduced and implemented for a long time is DMAIC (Define, Measure, Analyze, Improve, and control). This paper discusses the published literature related to Six Sigma ranging from 2015 to 2020. This paper involves the study review of 50 papers related to the implementation of LSS of known database search, including Google Scholar, Elsevier, Science Direct, and other worldwide publishers. This literature review contains results from a variety of different perspectives. The perspective includes the focus of the industry, the focus of the number of distribution by country, the focus of the year of publication, and the number of publishers. This is useful for all types of manufacturing industries to find solutions to problems. The paper also provides advantages for researchers next to add to the literature.
BLOCKCHAIN TECHNOLOGY IN AGRO-INDUSTRIAL SUPPLY CHAIN: REVIEW Ekawati, Ratna; Arkeman, Yandra; Suprihatin, Suprihatin; Sunarti, Titi Candra
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 9 No. 2 (2021)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis/2021.009.02.2

Abstract

This paper provides a review of the application of blockchain technology in industrial supply chains in general. It aims to investigate how current blockchain technology is and its applications and to look for research loopholes that have not been done before. The theory of several research papers that have been published in journals to date, along with several reports from the grayish literature as a means of streamlining judgments about growing blockchain-based supply chains is included in this review. The research step is to identify papers based on the year of publication so that a theory-based understanding of blockchain technology in the Agro-Industrial Supply Chain ecosystem, between 2007 and 2019. Blockchain technology in the agro-industry supply chain described in the framework in 2018 is 6.57%, while the implication for the case study is 9.11% and identified in the hypothesis with a questionnaire regarding blockchain recognition and exploration so that 4.5% of the blockchain model simulation. Based on the graph, there are 52% of blockchain research articles on the agro-industrial supply chain will be followed up by researchers, thereby increasing the value chain in agro-industry more. Research that discusses the value (value) in the supply chain that occurs from upstream to downstream in the agro-industrial supply chain ecosystem is very little, only around 2%. Excellence blockchain can identify the stakeholders that exist in the supply chain in each ecosystem from upstream to downstream processes so that it can transform a rigid and uncertain supply chain system into an efficient performance supply chain with transparency and trust between stakeholders so that integration, collaboration, and accuracy accurate data information
AN EXPERIMENTAL STUDY TO PRODUCE FISH FODDER USING ALTERNATIVE INGREDIENTS Yuniarti, Rahmi; Efranto, Remba Yanuar; Azlia, Wifqi; Oktavianty, Oke; Mohamad, Effendi
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 9 No. 2 (2021)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/10.21776/ub.jemis.2021.009.02.6

Abstract

The sustainable and economic development of the fishing industry is heavily dependent upon the choice of raw materials used in fish fodder. Furthermore, an inappropriate amount or nutritional quality of fodder will impede the health and growth of the farmed fish. This work therefore aims to determine the feasibility of substituting snail flour for fishmeal in fodder. The experimental and statistical results indicated no significant nutritional difference between fodder synthesized with fishmeal or snail flour as the protein source. Therefore, snail flour can be used to replace fishmeal used in milkfish fodder without negatively affecting the health of the milkfish.
CLASSIFICATION OF QUANTITATIVE MODEL SCENARIOS IN A CLOSED-LOOP SUPPLY CHAIN USING UNDERLYING FACTORS AND VARIABLES: A RESEARCH REVIEW Yuliawati, Evi; Pratikto, Pratikto; Sugiono, Sugiono; Novareza, Oyong
JEMIS (Journal of Engineering & Management in Industrial System) Vol 10, No 1 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/10.21776/ub.jemis.2022.010.01.3

Abstract

In a closed-loop supply chain area, the concept of sustainability is one of the primary factors that motivates companies to survive in a dynamic market. The purpose of this paper is to present a literature review of quantitative models in the remanufacturing process, especially mathematical models such as pricing decisions and cost models, reviewed from various scientific journals. Challenges to meet market demands, to boost efficient operational costs, and to increase profits have made researchers interested in deeply exploring this issue. Studies in the reverse supply chain area ensure that the supply process runs effectively and efficiently, meeting a level that is as good as when implementing the forward supply chain. Coordination and collaboration among companies, core acquisition strategy, model character behavior, and reverse channel structure are some characteristics of the quantitative models within the area of a closed-loop supply chain. Mapping was arranged to identify the involvement of research variables (core acquisition cost and remanufactured product price) and factors that were considered in the mathematical model of core acquisition (quantity and quality). Furthermore, the related literature on the issue was analyzed based on the involvement of the considered variables and factors. Finally, future research opportunities are presented as the result of the conducted literature review in this study.
OPTIMIZATION OF COLD SPLICING PARAMETERS IN CONVEYOR BELT JOINTS ON SHEAR STRENGTH USING TAGUCHI METHOD Alviari, Luana Putri; Choiron, Moch Agus; Tama, Ishardita Pambudi
JEMIS (Journal of Engineering & Management in Industrial System) Vol 10, No 1 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis/2022.010.01.1

Abstract

In the manufacturing industries, the main problem of material handling process using conveyor belt. Belt that continuously work will have damage or failure, so it repair by cold splicing. The purpose of this study is to see the effect of cold splicing parameters on the shear strength of conveyor belt joints based on variations in the number of belts, bias cut and adhesive thickness. Variations in the number of ply belts used are 2 ply, 3 ply and 4 ply, variations of cut bias 0.3xB, 0.6xB and 0.9xB and variations in the thickness of the adhesive which are 1 mm, 2 mm and 3 mm. This research was conducted experimentally using the Taguchi method based on shear test data using the Universal Testing Machine. Based on ANOVA value, the number of belt ply was high contribution by 86.22% with F-value = 155.3 and bias cut was lowest contribution by 0.23%.
THE INFLUENCING FACTORS IN CLEANER PRODUCTION ADOPTION ON THE ALUMINIUM PROCESSING INDUSTRY Agustina, Devi; Wicaksono, Agus Dwi; Meidiana, Christia
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 11 No. 1 (2023)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2023.011.01.2

Abstract

Cleaner Production (CP) practices comprised environmental strategy perpetually applied in the production, processes, and services to bolster efficiency, safety, and environmental friendliness. Some factors are to be considered to achieve a cleaner production strategy: stakeholders establishment, surveys, utilization, and impact, as well as how the top management devote their practices towards cleaner production. Combining with the mindset of sustainable stocks and resources, this exercise of cleaner production provides advantages of minimum toxic wastes and residues. In this study, we prioritize this practice to be applied in the aluminum industry, of which cleaner production action has not yet been employed. Small and medium businesses now no longer have enough monetary assets to put money into cleaner production practices because they require high-cost investment. This study aimed to determine the factors that have an impact on the application of cleaner production. The method used is regression analysis. The regression analysis results showed that three variables were tested to be significant and had a Root Mean Square Error (RMSE) value of 3.05 which means good. Three variables that affected the implementation of cleaner production include measurement of fuel usage, efforts to improve production process efficiency, and waste reuse by product. From the calculation results, the coefficient of determination (R2) was 0.550 (the influence was quite strong). The results of this study can be used as a recommendation for the government to increase the implementation cleaner production in Jombang Regency.
ANALYSIS AND COMPARING FORECASTING RESULTS USING TIME SERIES METHOD TO PREDICT SALES DEMAND ON COVID-19 PANDEMIC ERA Paduloh, Paduloh; Ustari, Abdul
JEMIS (Journal of Engineering & Management in Industrial System) Vol 10, No 1 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/10.21776/ub.jemis.2022.010.01.4

Abstract

The Covid-19 pandemic has made uncertainty in demand very high; there have been many changes in demand due to changes in the market and people's buying methods. So that forecasting accuracy is significant for every industry, at least the forecast that is closest to the conditions faced by the company so that the company does not lose money due to forecasting errors. Time series is a widely used model for forecasting using past data. This study aims to minimize forecasting errors by analyzing which demand forecasting model is most suitable for demand conditions based on historical data on demand for masterbatch products. The method used in this study is a time series model, which consists of the season naive method, holt exponential smoothing, exponential triple smoothing, and autoregressive integrated moving average (ARIMA). Data processing is done using Rstudio software. The results show that the ARIMA method (2,1,0) (1,1,0) is the best because it has the smallest error rate value with case studies and exact data; the standard error size values used are ME, RMSE, MAE, MPE, MAPE, MASE, and ACF1. This study analyzes forecasting during the Covid-19 pandemic using time series and compares them to find the best results. Then the results of this study can be used as a reference by companies and researchers in determining the model used to make forecasts.
THE APPLICATION OF SIX SIGMA-DMAIC METHOD TO REDUCE DEFECTS AND IMPROVE THE CARTRIDGE CASE PROCESS IN AMMUNITION COMPANY Anggamawarti, Merlina Fitri; Pratikto, Pratikto; Sumantri, Yeni
JEMIS (Journal of Engineering & Management in Industrial System) Vol 10, No 1 (2022)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2021.009.02.5

Abstract

PT. Pindad has a superior product, namely the 5.56 mm ammunition MU5-TJ. The product performance and quality, to be better, need changes in manufacturing processes and stricter quality control. In the MU5-TJ manufacturing process, defects in the cartridge significantly contribute to defective products, reaching 48.6%. This study aimed to evaluate the causes of the defects and improve the quality of the MU5-TJ cartridge production line. The method used in this study was Six Sigma-DMAIC (Define, Measure, Analyze, Improve, Control). The quality identification showed that the gauging process contributes to 67.8% of total defects in all production lines of cartridges. The critical factors were inspection methods and machine settings. Improvements were made by implementing auto-control every 15 minutes by the operators, setting the heading and necking, edge turning, and gauging machine speed. The improvements were shown to increase the sigma level from 3.24 to 3.45 and save the cost by IDR62.372.824,00.

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