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INDONESIA
Jurnal Sistem dan Manajemen Industri
Published by Universitas Serang Raya
ISSN : 25802887     EISSN : 25802895     DOI : -
Core Subject : Engineering,
Engineering Industrial & Manufacturing Engineering Transportation
This journal aims to publish the results of research in the field of Industrial Engineering is published twice a year, managed by the University of Serang Raya. The scope of Sciences covers Operations Research, Manufacturing System, Industrial Management, Ergonomics and Work System, Logistics and Supply Chain Management, and other scientific studies in accordance with scope field of Industrial Engineering research.
Arjuna Subject : -
Articles 16 Documents
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Search results for , issue "Vol. 6 No. 1 (2022)" : 16 Documents clear
Effects of ergonomics intervention on work accidents in the construction sector and their effect on productivity Asih, Ia; Setiawan, Indra; Hernadewita, Hernadewita; Hendra, Hendra
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4242

Abstract

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.
Integration of fuzzy AHP and fuzzy TOPSIS for green supplier selection of mindi wood raw materials Ramadhanti, Viola Indira; Pulansari, Farida
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4332

Abstract

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.
Implementation of six sigma approach for increasing quality formal men’s jackets in the garment industry Sjarifudin, Didin; Kurnia, Hibarkah; Purba, Humiras Hardi; Jaqin, Choesnul
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4359

Abstract

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.
Integration of FMEA method and overall equipment effectiveness to increase effectiveness of TS analyzer machine Atikno, Welly; Kusumah, Lien Herliani
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4368

Abstract

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.
Supply chain performance measurement on small medium enterprise garment industry: application of supply chain operation reference Qurtubi, Qurtubi; Yanti, Roaida; Maghfiroh, Meilinda F.N.
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4536

Abstract

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.
Raw material planning for tapioca flour production based on fuzzy logic approach: a case study Santosa, Sesar Husen; Hidayat, Agung Prayudha; Siskandar, Ridwan
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v6i1.4594

Abstract

The availability of cassava raw materials influences tapioca flour production at small and medium industry's (SMIs) Bogor Regency. Cassava raw material is a crucial factor in producing cassava yields, affecting the amount of tapioca flour production. Planning for cassava raw material must be carried out properly because the quality and quantity of cassava must be maintained to achieve the tapioca flour production target. The results of forecasting the demand for tapioca flour in SMIs using the Multiplicative Decomposition method were 2566 kg with MAD = 173.73 and MAPE = 0.08. Based on the analysis of the effectiveness of the grinding machine, the average value of OEE for one year is 0.32 (32%). Based on the value of demand forecasting results, milling machine OEE and tapioca flour prices, an analysis of cassava raw material needs are carried out using a fuzzy logic approach. The membership set used is Triangular and Trapezoidal Membership Function and Fuzzy Rule Base as many as 81 possibilities. The defuzzification of cassava raw material requirements in SMIs is 17600 kg. Based on the results of defuzzification, the need for raw materials must be increased so that the demand for tapioca flour can be achieved.

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