Jurnal Sistem dan Manajemen Industri
ISSN / EISSN : 2580-2887 / 2580-2895
Published by: LPPM Unsera (10.30656)
Total articles ≅ 78
Latest articles in this journal
Jurnal Sistem dan Manajemen Industri, Volume 6, pp 198-110; https://doi.org/10.30656/jsmi.v6i2.4736
This study analyzed the linkage of risk factors in the return process of fast-moving consumer good (FMCG) logistics systems. The risk of returning products due to expired, near expiration, order errors and bad stock (damaged) haunts sustainable supply chains in the industry. In four business processes, warehousing, transport/distribution, production/supply and order processing identified twenty-two risk factors that cause the return process. The decision-making and trial evaluation laboratory (DEMATEL) method helps decision-makers simplify causal relationships between twenty-two complex risk factors. Through the depiction of the matrix and the network relationship map, twelve risk factors entered the dispatcher group, namely risk factors that can affect other risk factors that impact the return process on the FMCG logistics system. The result becomes a reference for decision makers to prioritize risk factors management that have a relationship with other risk factors, because the impact obtained will be maximal.
Jurnal Sistem dan Manajemen Industri, Volume 6, pp 89-97; https://doi.org/10.30656/jsmi.v6i2.4704
The COVID-19 pandemic that has occurred throughout the world has hampered the world of education in carrying out the learning process. It requires the world of education to make rapid changes to the concept of learning so that the results of the learning process remain following the curriculum. However, during a pandemic, students are forced to study from home. Of course, this limits the essence of the practicum, which has to be done in the laboratory because students need interaction activities with machines. Augmented reality (A.R.) is a technology that allows users to interact with virtual objects. In this study, the application design is carried out using the rapid prototyping method, which can quickly accommodate the application development process. This study proves that AR-based applications can increase the understanding of 58% of students about the use of lathe, milling and 3D printing machines.
Jurnal Sistem dan Manajemen Industri, Volume 6, pp 56-66; https://doi.org/10.30656/jsmi.v6i1.4368
Total Sulfur Analyzer (TS Analyzer) is one of the machines in the laboratory to test the total sulfur content contained in coal samples. Technically, specifications and use are regulated by international standards. In 2020, the downtime of these tools was very high, causing the productivity of surveyors to decrease. Low productivity will have an impact on the company's losses. The productivity of this equipment and machines is crucial to maintaining the company's success in its business processes. This study aims to measure the effectiveness of the operational performance of the TS Analyzer machine in the laboratory, analyze the causative factors and make improvements. This research uses the integration method of Failure Mode And Effect Analysis (FMEA) and Overall Equipment Effectiveness (OEE). Based on the analysis of the causes of the problem, the low OEE value is caused by the high breakdown loss. Based on the FMEA analysis, it was found that the operator was wrong in operating the machine with RPN 343, electrical instability with RPN 343, unstable temperature with RPN 343 and improper thermocouple installation. The results showed that the OEE value of the TS Analyzer machine has increased after the improvement.
Jurnal Sistem dan Manajemen Industri, Volume 6, pp 44-55; https://doi.org/10.30656/jsmi.v6i1.4242
Construction services are one of the most important and strategic sectors supporting the achievement of development in Indonesia. Through this sector, Indonesia can experience stable economic growth. In 2020, accidents in the construction sector were the highest cases compared to other sectors, with a death rate of more than 60,000 cases annually. The role of Occupational Health and Safety (OHS) Management and the application of its requirements when working at heights is crucial to protect against the dangers of work accidents due to high risk. This study aims to determine the relationship between the factors that affect work accidents in the construction sector and their effect on Productivity moderated by ergonomics. This research was conducted by analyzing surveys from work-at-height workers in the construction sector, with 107 respondents from projects in Jakarta. The data analysis method used is Structural Equation Modeling (SEM) based on non-covariance, namely Partial Least Square (PLS). Data analysis using Smart PLS 3.0 software. The results show that Ergonomics has no direct effect on Productivity, with p-value 0.313. Work Accidents do not directly affect Productivity with p-value 0.333. OHS Management does not directly affect Work Accidents with p-value 0.013. OHS Management has a direct effect on Productivity with p-value 0.000. Application of OHS Requirements has a direct effect on Work Accidents with p-value 0.527. Application of OHS Requirements has a direct effect on Productivity with p-value 0.001 and Application of OHS Requirements through Ergonomics has no direct effect on Productivity with p-value 0.000.
Jurnal Sistem dan Manajemen Industri, Volume 6, pp 23-32; https://doi.org/10.30656/jsmi.v6i1.4185
TPM implementation by FMCG firms in Ado/Ota industrial hub of Ogun State Nigeria was investigated, and its influence on the firm's performance was analyzed. Primary data were collected through the administration of an online questionnaire. A total number of 98 respondents participated in this research. The analysis was conducted through descriptive analysis and structural equation model (SEM) using a smart partial least square (PLS) software. It was observed that TPM implementation had a positive influence on firms' performance. The descriptive analysis. It noted that most firms explored in this study had implemented TPM. It implies that above ninety percent of companies in the industrial hub are practicing TPM. The data employed in this research are limited to those obtained from FMCG firms in Ado/Ota in Ogun State, Nigeria. However, this study's findings can represent other firms in other locations where TPM is practiced. This research will be helpful for FMCG firms in Nigeria, especially those in Ogun State. TPM was measured using the following indicators: 5S, Autonomous Maintenance, Kobetsu Kaizen, Planned Maintenance, Quality, Education and Training, Office TPM, and Health, Safety and Environment. Eight indicators measure The company's performance: Product Quality, Cost, Inventory, Lead Time, Processing Cycle Time, Customer Complaints, Equipment Efficiency and Overall Productivity. The research review shows that the TPM implementation significantly affects firms' sustainable performance. In addition, the result shows that local firms in the survey area are yet to key into implementing TPM practices fully.
Jurnal Sistem dan Manajemen Industri, Volume 6, pp 33-44; https://doi.org/10.30656/jsmi.v6i1.4359
This study aims to implement the Six Sigma method on formal men's jacket products in the garment industry to increase the level of sigma. The methodology is based on the Define, Measure, Analyze, Improve, and Control (DMAIC) approach. The new approach in this study is the determination of 5W+1H using a Focus Group Discussion (FGD) with five expert judgments. The design of this study has applied the Six Sigma method at the Measure stage. It is a measurement before improvement and after the Control stage as a measurement after improvement. The results of this study have increased the level of sigma from 3.5765 to 3.7839, so there is an increase of 5.48%. Increasing the sigma level contributes to a decrease in defects at the finish line by 44.09% every month. Implementing the Six Sigma method to the DMAIC approach has succeeded in increasing the level of sigma, automatically reducing the percentage of defects and increasing the productivity of formal men's jackets in the garment industry.
Jurnal Sistem dan Manajemen Industri, Volume 6, pp 14-22; https://doi.org/10.30656/jsmi.v6i1.4536
In 2020, the textile industry contributed nearly 7% of Indonesia's gross domestic product. The garment industry is still dominated by small and medium enterprises (SMEs) among the textile products. Although these SMEs are considered one of the economic pillars in Indonesia, many challenges require strategical scale-up to improve their competitiveness. One of the aspects to be improved is supply chain performance, as the supply chain controls material, information, and financial flow from both supply and demand sides. This study seeks to measure and evaluate supply chain performance in the garment industry, focusing the case on small and medium-scale enterprises. The Supply Chain Operation Reference (SCOR) is used for Key Performance Index (KPI) determinants. Performance measurement starts by determining the criteria based on the performance measurement literature and expert opinion. Then, the weight of each criterion on the performance score is determined using the Analytical Hierarchy Process (AHP). Paired comparison questionnaires for the criteria weighting were distributed to experts, and the answers were analyzed. The final performance value is obtained by multiplying the weight with the normalized performance value using the Snorm-De Boer formula. This study obtained 23 indicators from five processes: plan, make, source, deliver, and return, with the final value of SCM performance classified as good. The result can evaluate the company's current condition and propose a strategy to improve its performance.
Jurnal Sistem dan Manajemen Industri, Volume 6, pp 1-13; https://doi.org/10.30656/jsmi.v6i1.4332
The current industrial development is related to increasing global action and public awareness of environmental issues with Sustainable Development Goals (SDGs). It makes the implementation of green supply chain management on Green Supplier Evaluation and Selection (GSES) more appreciated because it can affect the company's environmental performance. Companies that can improve their environmental performance will be able to increase their competitive advantage and have an impact on increasing revenue, market share, and a more positive green image of the company. Currently, there is no research about green supplier selection in the furniture industry, especially in Indonesia. So, it is necessary to research the industry because it hugely affects environmental performance. One of the companies engaged in the furniture industry is X company. They are selecting their suppliers only based on the ownership of the environmental certification of each supplier and the quality of the raw materials. Environmental criteria such as the green image in the community and environmental competency have not been considered. On the one hand, X company also wants to realize its mission of environmental sensitivity. This study aims to select the best green supplier of mindi wood raw materials by integrating fuzzy AHP and TOPSIS because these methods can make practical multicriteria decisions and obtain more valid results. The results obtained indicate that the 8th green supplier has the highest preference value of 0.777 so it is called the best alternative for mindi wood raw materials.
Jurnal Sistem dan Manajemen Industri, Volume 5, pp 115-124; https://doi.org/10.30656/jsmi.v5i2.3823
This study aims to determine the leading industry in Padang Pariaman Regency, West Sumatera, Indonesia, based on data from the Central Statistics Agency and expert opinion on the Regency Industrial Development Plan. This research combines qualitative and quantitative techniques. This study uses four experts' opinions consisting of three governments and one academician. The criteria and sub-criteria are determined based on the locally adapted National Industrial Development Master Plan. The method used in this study is a combination of the Multi-Criteria Decision Making (MCDM) method, which integrates the Analytical Hierarchy Process (AHP) to calculate the weights and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to determine the order of priority. The top five leading processing industries were selected: the food industry, the leather/footwear industry, the chemical industry, the apparel industry, and other processing industries.
Jurnal Sistem dan Manajemen Industri, Volume 5, pp 105-114; https://doi.org/10.30656/jsmi.v5i2.3985
After-sales service (ASS) is a product support activity provided to customers; after-sales service that focuses on quality can create a sustainable competitive advantage. This study aims to the ASS performance, analyze the causes of performance constraints that occur in ASS and recommendations for improving the performance of ASS conceptually. Service partner performance achievement can be assessed from four categories, i.e. very good, good, bad, and poor, based on the actual level of performance compared to performance targets. The sample of this research is 12 ASS partners in the electrical equipment industry in West Java and Jakarta. Factors causing failure were analyzed descriptively using the fault tree analysis (FTA) method, which involved experts in focus group discussions (FGD). Based on the evaluation, 25% of partners were rated good, 50% poor, and 25% very poor. Partner performance achievement is carried out on 22 performance indicators, of which 20 performance indicators have not achieved a good rating. These indicators relate to brand issues, warranty, training, parts control and stock management, pricing, and service systems, including service centers and service facilities. The proposed concept that becomes a recommendation for improving the performance of power tools ASS is improving the operating system and the selection of partners in the service center and service dealer categories with industrial customer segmentation.