Jurnal Sistem dan Manajemen Industri
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.
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<![CDATA[Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process ]]>
<![CDATA[Wahyu Widhiarso]]>;
<![CDATA[Ibnu Abdul Rosid]]>;
<![CDATA[Rieska Ernawati]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v7i1.5747
<![CDATA[The turning process involves the linear removal of material from the work-piece and requires a relatively high amount of energy. The high energy consumption of the machining process increases carbon emissions, which affects the environment. Moreover, production costs will rise as the cost of energy rises. Energy savings during the machining process are crucial for achieving sustainable manufacturing. In order to determine and optimize the cutting parameters, this study creates a multi-pass turning processes optimi¬zation model. It considers cutting speeds, feed rates, and depth of cut. In this study, the model uses multi-objective optimization by incorporating three objective functions: processing time, energy consumption and product¬ion costs. OptQuest completed the proposed model in Oracle Crystal Ball software, then normalized and weighted the sum. Ordering preferences, the Multi-Objective Optimization based on Ratio Analysis (MOORA) approach is utilized. It ranks items based on their higher priority values. This paper provides a numerical example to demonstrate the application of an optimi¬zation model. Based on the preference order ranking results, the optimal values for three objective functions are as follows: total processing time of 4.953 min, the total energy consumption of 5.434 MJ, and total production cost of 395.21$.]]>
<![CDATA[Technology content assessment for Indonesia-cable based tsunameter development strategy using technometrics model ]]>
<![CDATA[Gani Soehadi]]>;
<![CDATA[Lesti Setianingrum]]>;
<![CDATA[Sasono Rahardjo]]>;
<![CDATA[I Wayan Wira Yogantara]]>;
<![CDATA[Edhi Purnomo]]>;
<![CDATA[Michael Andreas Purwoadi]]>;
<![CDATA[Irawan Santoso]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v7i1.5748
<![CDATA[This research aims to calculate the value of the Technology Contribution Coefficient (TCC) and determine the priority of technology component improvement in the development of the Indonesia-Cable Based Tsunameter (INA-CBT) Tsunami Early Warning System (TEWS) conducted by the National Research and Innovation Agency (BRIN) Research Center for Electronics (RCE). In this study, the Technometrics model is used to calculate the technology contribution of technology components and TCC, while Analytical Hierarchy Process (AHP) is used to calculate the value of the technology contribution intensity of technology components. The results showed that the TCC value of the RCE is 0.55 (Good). With the state-of-the-art value of 1, the RCE still has the opportunity to make improvements, especially on Infoware components with the lowest contribution value, to increase TCC. In calculating the technology contribution intensity, Infoware obtained the highest score of 0.447 compared to other technology components, therefore Infoware needs to be prioritized for improvement so that it is expected that the management of RCE can increase the quality and accuracy of the engineering design and simulation stage because it is a critical point in the development of INA-CBT.]]>
<![CDATA[Disaster risk analysis of technological failure of industrial estate: a case study: ]]>
<![CDATA[Turniningtyas Ayu Rachmawati]]>;
<![CDATA[Dwi Rahmawati]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v7i1.4673
<![CDATA[The world has agreed on reducing disaster risks through Sendai Framework for Disaster Risk Reduction (SFDRR) 2015–2030. Efforts to reduce disaster risks are one way to attain Sustainable Development Goals related to "sustainable cities and communities." The first points of disaster risk reduction priorities inscribed in the SFDRR 2015–2030 incorporate disaster risk studies. While studies on natural disaster risks have been widely conducted, non-natural (manmade) disaster risk studies are relatively scant, particularly for technological failure disasters. In this paper, the author investigates the levels of technological failure disaster risks in Gresik Regency, Indonesia, one of the National Strategic Areas in East Java Province. This study employs a disaster risk analysis encompassing aspects of hazard and vulnerability through map overlays with the help of a Geographical Information System (GIS) to identify areas with risks of technological failure. Results illustrate that a high risk is predominantly spread in areas with high hazards, which is 60 m radius of the industrial area. The findings in this study may help shed light on the hazards that may arise due to technological failures that span not only around the source of hazard, i.e., the industrial areas, but also beyond them, and also conclude that the higher the disaster risk is, the higher the vulnerability of an area will be.]]>
<![CDATA[Digital strategy for improving resilience of micro, small, and medium enterprises ]]>
<![CDATA[Issa Dyah Utami]]>;
<![CDATA[Trisita Novianti]]>;
<![CDATA[Fachrizal Setiawan]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v7i1.6087
<![CDATA[The COVID-19 pandemic impacted several small and medium-sized enterprises (SMEs) in Indonesia. The viability of some SMEs' business operations was disturbed, especially those who create non-essential goods like carving. The sales have decreased by up to sixty per cent, causing reduced levels of income and the termination of numerous workers. SMEs in Indonesia are highly considered because businesses are one of the country's most significant economic contributors. This research proposes a strategy for SMEs to improve the resilience of business operations of the SMEs. The K-means method was used to investigate three groups of SMEs: micro, small, and medium. Changes in the SME class before and after the pandemic are investigated through changes in the values of the variables in the SME profile. Then the SWOT method is used to identify internal and external factors with the highest weight, which can be used as a basis for developing strategies to increase the resilience of SMEs. Furthermore, the TOPSIS method determines the best plan for dealing with the new digital era. The result shows that the W-T strategy to utilize social media can be prioritized based on the criteria that significantly impact SMEs' product sales and business resilience.]]>
<![CDATA[Telecommunication service quality analysis using integration of SIPA and modified Kano ]]>
<![CDATA[Hanny Kanavika Rizky Munawar]]>;
<![CDATA[Annisa Kesy Garside]]>;
<![CDATA[Adhi Nugraha]]>;
<![CDATA[Amelia Khoidir]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v7i1.5530
<![CDATA[This article investigates the integrated approach of the Simultaneous Importance-Performance Analysis (SIPA) model and the modified Kano model to evaluate and prioritize service attributes for telecommunication companies in Indonesia. The study is based on the demographic profiles and usage patterns of 74 respondents. The results demonstrate that the SIPA and Kano models can provide valuable insights for identifying priority areas and effective strategies for improving service quality. Specifically, the SIPA model helps to compare competitor performance and identify important service attributes. In contrast, the modified Kano model facilitates a dynamic cycle of service attribute evaluation to inform managerial strategies. This article contributes by highlighting the potential of the proposed approach to offer valuable insights to telecommunication companies seeking to enhance their service offerings and remain competitive in a constantly evolving market.]]>
<![CDATA[Mix method analysis for analyzing user behavior on logistic company mobile pocket software ]]>
<![CDATA[Satria Fadil Persada]]>;
<![CDATA[Farid Afandi]]>;
<![CDATA[Anak Agung Ngurah Perwira Redi]]>;
<![CDATA[Reny Nadlifatin]]>;
<![CDATA[Yogi Tri Prasetyo]]>;
<![CDATA[Adji Candra Kurniawan]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
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DOI: 10.30656/jsmi.v7i1.5937
<![CDATA[The present study emphasizes mixed-method analysis, integrating the partial least square structural equation model (PLS-SEM) and customer journey for mobile pocket office improvement in logistic XYZ company. The extension of the unified theory of acceptance and use of technology (UTAUT 2) model by incorporating perceived risk (PR), personal innovativeness (PI), and trust (TR) variables are used. The sample for this study consisted of 243 respondents. Based on the results of the PLS-SEM analysis, two of the eleven tested hypotheses were determined to be rejected. In application usage, the proposed model effectively explained 85.7 per cent of the influence on behavioral intention (BI) and 72.1 per cent on use behavior (UB). The customer journey mapping (CJM) investigation's findings show that fluctuations in the use of mobile pocket office technology in the field are generally brought on by a lot of data entry, sluggish internet connections, and overworked field operations. The XYZ company may acquire suggestions and knowledge for developing further applications due to this inquiry.]]>
<![CDATA[Disaster risk analysis of technological failure of industrial estate: a case study: ]]>
<![CDATA[Rachmawati, Turniningtyas Ayu]]>;
<![CDATA[Rahmawati, Dwi]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
Show Abstract
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DOI: 10.30656/jsmi.v7i1.4673
<![CDATA[The world has agreed on reducing disaster risks through Sendai Framework for Disaster Risk Reduction (SFDRR) 2015–2030. Efforts to reduce disaster risks are one way to attain Sustainable Development Goals related to "sustainable cities and communities." The first points of disaster risk reduction priorities inscribed in the SFDRR 2015–2030 incorporate disaster risk studies. While studies on natural disaster risks have been widely conducted, non-natural (manmade) disaster risk studies are relatively scant, partiÂcularly for technological failure disasters. In this paper, the author investigates the levels of technological failure disaster risks in Gresik Regency, Indonesia, one of the National Strategic Areas in East Java Province. This study employs a disaster risk analysis encompassing aspects of hazard and vulnerability through map overlays with the help of a GeoÂgraphical Information System (GIS) to identify areas with risks of technoÂlogical failure. Results illustrate that a high risk is predominantly spread in areas with high hazards, which is 60 m radius of the industrial area. The findings in this study may help shed light on the hazards that may arise due to technological failures that span not only around the source of hazard, i.e., the industrial areas, but also beyond them, and also conclude that the higher the disaster risk is, the higher the vulnerability of an area will be.]]>
<![CDATA[Telecommunication service quality analysis using integration of SIPA and modified Kano ]]>
<![CDATA[Munawar, Hanny Kanavika Rizky]]>;
<![CDATA[Garside, Annisa Kesy]]>;
<![CDATA[Nugraha, Adhi]]>;
<![CDATA[Khoidir, Amelia]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30656/jsmi.v7i1.5530
<![CDATA[This article investigates the integrated approach of the Simultaneous ImporÂtance-Performance Analysis (SIPA) model and the modified Kano model to evaluate and prioritize service attributes for telecommunication companies in Indonesia. The study is based on the demographic profiles and usage patterns of 74 respondents. The results demonstrate that the SIPA and Kano models can provide valuable insights for identifying priority areas and effective strategies for improving service quality. Specifically, the SIPA model helps to compare competitor performance and identify important service attributes. In contrast, the modified Kano model facilitates a dynamic cycle of service attribute evaluation to inform managerial strateÂgies. This article contributes by highlighting the potential of the proposed apÂproach to offer valuable insights to telecommunication companies seeking to enhance their service offerings and remain competitive in a conÂstantly evolving market.]]>
<![CDATA[Multi-objective optimization model of cutting parameters for a sustainable multi-pass turning process ]]>
<![CDATA[Widhiarso, Wahyu]]>;
<![CDATA[Rosid, Ibnu Abdul]]>;
<![CDATA[Ernawati, Rieska]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
Show Abstract
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DOI: 10.30656/jsmi.v7i1.5747
<![CDATA[The turning process involves the linear removal of material from the work-piece and requires a relatively high amount of energy. The high energy consumption of the machining process increases carbon emissions, which affects the environment. Moreover, production costs will rise as the cost of energy rises. Energy savings during the machining process are crucial for achieving sustainable manufacturing. In order to determine and optimize the cutting parameters, this study creates a multi-pass turning processes optimi¬zation model. It considers cutting speeds, feed rates, and depth of cut. In this study, the model uses multi-objective optimization by incorporating three objective functions: processing time, energy consumption and product¬ion costs. OptQuest completed the proposed model in Oracle Crystal Ball software, then normalized and weighted the sum. Ordering preferences, the Multi-Objective Optimization based on Ratio Analysis (MOORA) approach is utilized. It ranks items based on their higher priority values. This paper provides a numerical example to demonstrate the application of an optimi¬zation model. Based on the preference order ranking results, the optimal values for three objective functions are as follows: total processing time of 4.953 min, the total energy consumption of 5.434 MJ, and total production cost of 395.21$.]]>
<![CDATA[Technology content assessment for Indonesia-cable based tsunameter development strategy using technometrics model ]]>
<![CDATA[Soehadi, Gani]]>;
<![CDATA[Setianingrum, Lesti]]>;
<![CDATA[Rahardjo, Sasono]]>;
<![CDATA[Yogantara, I Wayan Wira]]>;
<![CDATA[Purnomo, Edhi]]>;
<![CDATA[Purwoadi, Michael Andreas]]>;
<![CDATA[Santoso, Irawan]]>
<![CDATA[ Jurnal Sistem dan Manajemen Industri Vol. 7 No. 1 (2023): June ]]>
Publisher : <![CDATA[Universitas Serang Raya ]]>
Show Abstract
|
Download Original
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Original Source
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DOI: 10.30656/jsmi.v7i1.5748
<![CDATA[This research aims to calculate the value of the Technology Contribution Coefficient (TCC) and determine the priority of technology component improvement in the development of the Indonesia-Cable Based Tsunameter (INA-CBT) Tsunami Early Warning System (TEWS) conducted by the National Research and Innovation Agency (BRIN) Research Center for Electronics (RCE). In this study, the Technometrics model is used to calculate the technology contribution of technology components and TCC, while Analytical Hierarchy Process (AHP) is used to calculate the value of the technology contribution intensity of technology components. The results showed that the TCC value of the RCE is 0.55 (Good). With the state-of-the-art value of 1, the RCE still has the opportunity to make improvements, especially on Infoware components with the lowest contribution value, to increase TCC. In calculating the technology contribution intensity, Infoware obtained the highest score of 0.447 compared to other technology compoÂnents, therefore Infoware needs to be prioritized for improvement so that it is expected that the management of RCE can increase the quality and accuracy of the engineering design and simulation stage because it is a critical point in the development of INA-CBT.]]>
