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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 216 Documents
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AN EXPERIMENTAL STUDY TO PRODUCE FISH FODDER USING ALTERNATIVE INGREDIENTS Rahmi Yuniarti; Remba Yanuar Efranto; Wifqi Azlia; Oke Oktavianty; Effendi Mohamad
JEMIS (Journal of Engineering & Management in Industrial System) Vol 9, No 2 (2021)
Publisher : Badan Penerbit Jurnal, 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.
THE INFLUENCE OF MARKETING MIX AND MARKETING ENVIRONMENT TOWARDS CUSTOMERS SATISFACTION TO ENHANCE THE LOCAL SMALL MEDIUM ENTERPRISES COMPETITIVE ADVANTAGE Raditya Ardianwiliandri; Rio Prasetyo Lukodono; Remba Yanuar Efranto
JEMIS (Journal of Engineering & Management in Industrial System) Vol 9, No 2 (2021)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2021.009.02.7

Abstract

Fruit Chip is one of the most well known Small Medium Enterprise’s products in Batu Malang. This is due to the high number of fruit production produced in this city. In selling their products, local Small Medium Enterprise have to face the highly competition from other producers as well who also produced similar products. The increasing number of tourists who came into Batu City also encouraging local Small Medium Enterprises to capture this opportunity by producing food souvenirs such as fruit chip. Therefore, every local Small Medium Enterprises should make continuous improvements in all areas as well as improving the quality of their products especially to maintain and attract the consumers. One of the key areas that need to be developed is marketing by conducting marketing research. This marketing research is conducted by observing the marketing environment (X1) and marketing mix-7P’s (X2) towards the customer satisfaction (Y) using Structural Equation Modelling (SEM). Based on the regression analysis, we can conclude that there is significant correlation between marketing mix towards customer satisfaction. The most influential variable in marketing mix is employee, promotion, process, and places. While the biggest influence in marketing environment is new entrants and customer variables.
A SYSTEMATIC LITERATURE REVIEW OF LEAN SIX SIGMA IN VARIOUS INDUSTRIES Hibarkah Kurnia; Humiras Hardi Purba
Journal of Engineering and Management in Industrial System Vol 9, No 2 (2021)
Publisher : Badan Penerbit Jurnal, 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.
CLASSIFICATION OF QUANTITATIVE MODEL SCENARIOS IN A CLOSED-LOOP SUPPLY CHAIN USING UNDERLYING FACTORS AND VARIABLES: A RESEARCH REVIEW Evi Yuliawati; Pratikto Pratikto; Sugiono Sugiono; Oyong Novareza
Journal of Engineering and Management in Industrial System Vol 10, No 1 (2022)
Publisher : Badan Penerbit Jurnal, 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.
SOLVING LARGE SCALE TRANSPORTATION PROBLEM IN FERTILIZER DISTRIBUTION TO MINIMIZE TRANSPORTATION COST Angga Akbar Fanani; Arif Rahman; Astuteryanti Tri Lustyana; Sri Widiyawati
Journal of Engineering and Management in Industrial System Vol 10, No 1 (2022)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

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

Abstract

Indonesia is agricultural country which have high degree of dependency to the fertilizer availability, it is because fertilizer has important role for the land fertility. Fertilizer is needed by the farmers all the time, from the initial period of planting the crop to the harvest period. This condition requires the fertilizer industry to be able to deliver fertilizer exactly when fertilizer is needed. The complexity of the transportation problem is indicated by the number of nodes in the model that represent both source and destination. In the distribution of fertilizer, the number of sources is relatively small, but the number of destinations is very large, where the number reaches 50 destination points. In solving large scale transportation complex problems, modeling techniques using Linier Programming are needed. Fertilizer demands are fulfilled from 42 buffer warehouses, and the optimal allocation for petrochemical distribution is supplied by 47 production partners. Based on the results of the calculation process using linier programming, the optimal distribution cost is 939,854,960.00 rupiahs. Meanwhile, the initial cost of distribution is IDR 1,032,267,660.00. There was a decrease of 92,412,700.00 rupiahs or about 9%. Optimization of the distribution process is also marked by the decrease in the number of production partners needed to meet the needs of 42 buffer warehouses. In the initial distribution, 56 production partners sent their products, after the calculation process only 47 production partners were needed.
OPTIMIZATION OF COLD SPLICING PARAMETERS IN CONVEYOR BELT JOINTS ON SHEAR STRENGTH USING TAGUCHI METHOD Luana Putri Alviari; Moch Agus Choiron; Ishardita Pambudi Tama
Journal of Engineering and Management in Industrial System Vol 10, No 1 (2022)
Publisher : Badan Penerbit Jurnal, 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%.
ANALYSIS AND COMPARING FORECASTING RESULTS USING TIME SERIES METHOD TO PREDICT SALES DEMAND ON COVID-19 PANDEMIC ERA Paduloh Paduloh; Abdul Ustari
Journal of Engineering and Management in Industrial System Vol 10, No 1 (2022)
Publisher : Badan Penerbit Jurnal, 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 Merlina Fitri Anggamawarti; Pratikto Pratikto; Yeni Sumantri
Journal of Engineering and Management in Industrial System Vol 10, No 1 (2022)
Publisher : Badan Penerbit Jurnal, 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.
FINAL INVESTMENT DECISION (FID) PROCESS IMPROVEMENT IN OIL & GAS MAJOR CAPITAL PROJECT. CASE STUDY OF PT. VUL’S DECISION-MAKING PROCESS Marco Wibisono
Journal of Engineering and Management in Industrial System Vol 10, No 1 (2022)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

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

Abstract

Uncertainties from many factors, oil price, production, execution and operational risks, external factors, are issues that impact project profitability. For major capital projects (MCPs), with magnitude of investment well into hundreds of millions or billions of dollars, a robust, structured rational process is required to minimize uncertainties and provide all the required information for a decision maker to make a high-quality, measured decision in continuing with execution of the project.Semi-structured interview for projects with CAPEX valued around $500 million, and above $10 billion were performed; coupled with comparison between appropriation and actual results, and literature reviews to uncover the complexities, experienced issues that happened in the process. Process and bias analysis were performed to provide solution. Reviews were made on Decision Executive (DE)/Decision Review Board (DRB) effectiveness, market price intelligence, high-grading or project sequencing options, external alignment, optimum time period of investment, biases encountered and how to mitigate them. To mitigate above identified issues, inclusion of mitigation in the FID process, through DE/DRB alignment, project sequencing, market condition scenarios, technology maturity review, debiasing methods, external stakeholder engagement, and optimize time to FID, including transformation and implementation process is presented as part of the study’s conclusion.
A STUDY ON BUSINESS GROWTH FACTOR TO CREATE INNOVATION PROCESS OF COMPANIES (CASE STUDY IN REFRIGERATED TRUCK COMPANY) Kojiro Fujiyama; Oke Oktavianty; Shoichi Yano; Shigeyuki Haruyama
Journal of Engineering and Management in Industrial System Vol 10, No 1 (2022)
Publisher : Badan Penerbit Jurnal, Faculty of Engineering, Universitas Brawijaya

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

Abstract

Previous studies into the elements that influence the growth factors of SME show that creating new values by innovation is a key to sustainable business progress, and also that there are constant demands for creating innovation in the society. In response to such demands, there have been various models developed on creating innovation. Many have pointed out the importance of grasping the innovation not as a solution for a single problem but for the whole process of engineering development - as a system which integrates the product manufacturing, engineering and business application. Furthermore, such innovation is increasingly considered significant in the studies on the elements influencing the factors that lead to constant progress of business of, not only SME, but also companies in general. In this study, we took an example of a Japanese manufacturer which achieved the position of a niche top and has been successful in continually growing in business to investigate on and analyze the following two subjects; “the elements influencing the growth factor of an enterprise” and “the transition of the growth factors in accordance with each product lifecycle”. The result hereby shows the different elements that can create a value affecting the business growth factors in the respective stages of product lifecycle, such as Introduction, Growth and Maturity. 

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