Pub Date : 2024-07-10DOI: 10.25077/josi.v23.n1.p109-119.2024
Hafiz Rahman, Sri Oktavia, Niyanta Shetye, Winny Leocade Sedjiro Azonhoumon
This study aims to identify the level of climate change awareness among small-medium scale entrepreneurs (SMEs) and to investigate its impact on future business orientation, with individual self-perception acting as a mediating variable. Addressing a significant gap in the literature, this research explores the reciprocal influence between SMEs and climate change—an area previously underexplored. Conducted in West Sumatra, Indonesia, this study employs a quantitative causal analysis approach using Structural Equation Modelling-Partial Least Squares (SEM-PLS) for robust analysis. The findings indicate that while awareness and self-perception of climate change among SMEs are low, they significantly influence potential changes in business orientation. The study reveals that although many SMEs possess a high level of educational attainment, this does not necessarily translate into heightened awareness or self-perception regarding climate change. This disconnect underscores the critical role of tailored educational initiatives and support systems to bridge the gap between knowledge and action. Additionally, the study finds that SMEs often prioritize immediate financial stability over long-term environmental sustainability, driven by the necessity to meet daily operational demands. These results underscore the urgent need for pre-emptive government policies to guide SMEs toward sustainable practices. Effective interventions should include financial incentives, technical assistance, and educational programs designed to enhance climate change awareness and capabilities among SMEs. Furthermore, this study contributes to the field of industrial engineering by identifying opportunities to optimize SME operations. By integrating environmental sustainability into business strategies, SMEs can enhance their resilience and competitiveness while contributing to broader environmental goals. This research advances the understanding of the dynamic interplay between SMEs and climate change, providing a foundation for future studies aimed at promoting sustainable industrial practices.
{"title":"Enhancing Operations for Sustainability in Indonesian SMEs through Climate Change Awareness and Business Orientation","authors":"Hafiz Rahman, Sri Oktavia, Niyanta Shetye, Winny Leocade Sedjiro Azonhoumon","doi":"10.25077/josi.v23.n1.p109-119.2024","DOIUrl":"https://doi.org/10.25077/josi.v23.n1.p109-119.2024","url":null,"abstract":"This study aims to identify the level of climate change awareness among small-medium scale entrepreneurs (SMEs) and to investigate its impact on future business orientation, with individual self-perception acting as a mediating variable. Addressing a significant gap in the literature, this research explores the reciprocal influence between SMEs and climate change—an area previously underexplored. Conducted in West Sumatra, Indonesia, this study employs a quantitative causal analysis approach using Structural Equation Modelling-Partial Least Squares (SEM-PLS) for robust analysis. The findings indicate that while awareness and self-perception of climate change among SMEs are low, they significantly influence potential changes in business orientation. The study reveals that although many SMEs possess a high level of educational attainment, this does not necessarily translate into heightened awareness or self-perception regarding climate change. This disconnect underscores the critical role of tailored educational initiatives and support systems to bridge the gap between knowledge and action. Additionally, the study finds that SMEs often prioritize immediate financial stability over long-term environmental sustainability, driven by the necessity to meet daily operational demands. These results underscore the urgent need for pre-emptive government policies to guide SMEs toward sustainable practices. Effective interventions should include financial incentives, technical assistance, and educational programs designed to enhance climate change awareness and capabilities among SMEs. Furthermore, this study contributes to the field of industrial engineering by identifying opportunities to optimize SME operations. By integrating environmental sustainability into business strategies, SMEs can enhance their resilience and competitiveness while contributing to broader environmental goals. This research advances the understanding of the dynamic interplay between SMEs and climate change, providing a foundation for future studies aimed at promoting sustainable industrial practices.","PeriodicalId":502554,"journal":{"name":"Jurnal Optimasi Sistem Industri","volume":"13 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-10DOI: 10.25077/josi.v23.n1.p120-129.2024
Herry Agung Prabowo, I. M. Fahturizal, H. Kurnia
Correction of: https://josi.ft.unand.ac.id/index.php/josi/article/view/642 . DOI: 10.25077/josi.v22.n1.p52-60.2023 A ventilator machine is a medical device that plays an important role in handling Covid-19 cases during a pandemic. Covid 19 patients are arriving at a referral hospital in Jakarta, meaning that the hospital must prepare its medical equipment, including a ventilator machine. The ventilator machine experienced problems because the efficiency of the machine decreased so many patients waited in the ICU room. Machine effectiveness has an average value of 62.26% so it has an impact on disrupting patient services at home. The purpose of this research is to look for factors that cause the lack of effective value of ventilator machines and find effective solutions to increase the effectiveness of ventilator machines so that they can serve Covid-19 patients during a pandemic. This research method combines Focus Group Discussion in determining 5W+1H and implementing the pillars of Total Productive Maintenance to improve the Overall Effectiveness of Equipment on Ventilator machines. This study found a breakdown factor of 54.10%, idle and minor loss of 41.20%, and others of 4.70%. The effect of overall improvement has been able to increase the average effectiveness value by 85.00% from Sep 2021-Feb 2022, so this is supported by the hospital's program in terms of increasing the effectiveness of machines in patient care.
{"title":"Authorship Correction: Application of the Total Productive Maintenance to Increase the Overall Value of Equipment Effectiveness on Ventilator","authors":"Herry Agung Prabowo, I. M. Fahturizal, H. Kurnia","doi":"10.25077/josi.v23.n1.p120-129.2024","DOIUrl":"https://doi.org/10.25077/josi.v23.n1.p120-129.2024","url":null,"abstract":"Correction of: https://josi.ft.unand.ac.id/index.php/josi/article/view/642 . \u0000DOI: 10.25077/josi.v22.n1.p52-60.2023 \u0000A ventilator machine is a medical device that plays an important role in handling Covid-19 cases during a pandemic. Covid 19 patients are arriving at a referral hospital in Jakarta, meaning that the hospital must prepare its medical equipment, including a ventilator machine. The ventilator machine experienced problems because the efficiency of the machine decreased so many patients waited in the ICU room. Machine effectiveness has an average value of 62.26% so it has an impact on disrupting patient services at home. The purpose of this research is to look for factors that cause the lack of effective value of ventilator machines and find effective solutions to increase the effectiveness of ventilator machines so that they can serve Covid-19 patients during a pandemic. This research method combines Focus Group Discussion in determining 5W+1H and implementing the pillars of Total Productive Maintenance to improve the Overall Effectiveness of Equipment on Ventilator machines. This study found a breakdown factor of 54.10%, idle and minor loss of 41.20%, and others of 4.70%. The effect of overall improvement has been able to increase the average effectiveness value by 85.00% from Sep 2021-Feb 2022, so this is supported by the hospital's program in terms of increasing the effectiveness of machines in patient care.","PeriodicalId":502554,"journal":{"name":"Jurnal Optimasi Sistem Industri","volume":"13 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141661661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the rapidly evolving digital age, social media platforms have transformed into battleground for shaping public opinion. Among these platforms, X has been particularly susceptible to the phenomenon of 'buzzers', paid or coordinated actors who manipulate online discussions and influence public sentiment. This manipulation poses significant challenges for users, researchers, and policymakers alike, necessitating robust detection measures and strategic feature selection for accurate classification models. This research explores the utilization of various feature selection techniques to identify the most influential features among the 24 features employed in the classification modeling using Support Vector Machine. This study found that selecting 11 key features yields a remarkably effective classification model, achieving an impressive F1-score of 87.54 in distinguishing between buzzer and non-buzzer accounts. These results suggest that focusing on the relevant features can improve the accuracy and efficiency of buzzer detection models. By providing a more robust and adaptable solution to buzzer detection, our research has the potential to advance social media research and policy. This enabling researchers and policymakers to devise strategies aimed at mitigating misinformation dissemination and cultivating an environment of trust and integrity within social media platforms, thus fostering healthier online interactions and discourse.
{"title":"Feature Selection and Performance Evaluation of Buzzer Classification Model","authors":"Dian Isnaeni Nurul Afra, Radhiyatul Fajri, Harnum Annisa Prafitia, Ikhwan Arief, Aprinaldi Jasa Mantau","doi":"10.25077/josi.v23.n1.p1-14.2024","DOIUrl":"https://doi.org/10.25077/josi.v23.n1.p1-14.2024","url":null,"abstract":"In the rapidly evolving digital age, social media platforms have transformed into battleground for shaping public opinion. Among these platforms, X has been particularly susceptible to the phenomenon of 'buzzers', paid or coordinated actors who manipulate online discussions and influence public sentiment. This manipulation poses significant challenges for users, researchers, and policymakers alike, necessitating robust detection measures and strategic feature selection for accurate classification models. This research explores the utilization of various feature selection techniques to identify the most influential features among the 24 features employed in the classification modeling using Support Vector Machine. This study found that selecting 11 key features yields a remarkably effective classification model, achieving an impressive F1-score of 87.54 in distinguishing between buzzer and non-buzzer accounts. These results suggest that focusing on the relevant features can improve the accuracy and efficiency of buzzer detection models. By providing a more robust and adaptable solution to buzzer detection, our research has the potential to advance social media research and policy. This enabling researchers and policymakers to devise strategies aimed at mitigating misinformation dissemination and cultivating an environment of trust and integrity within social media platforms, thus fostering healthier online interactions and discourse.","PeriodicalId":502554,"journal":{"name":"Jurnal Optimasi Sistem Industri","volume":"28 47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141659867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-10DOI: 10.25077/josi.v23.n1.p46-60.2024
P. Dewa, Irma Nur Afiah, R. Umam
Supply Chain Agility (SCA) is recognized as a crucial component in fostering organizational agility, offering a competitive and expansionary strategy for businesses. However, the impact of SCA on organizational performance, particularly in the fashion industry, remains underexplored. This study aims to investigate how learning and agility within the supply chain affect the performance of fashion SMEs, providing a comprehensive understanding of these dynamics. Employing a quantitative approach, data were collected through a questionnaire from 180 fashion SMEs in the Special Region of Yogyakarta, with responses obtained from managers in the fashion industry sector. This methodological choice ensures that the insights gathered are both relevant and specific to the targeted industry. A Structural Equation Modeling using Partial Least Squares (SEM-PLS) was utilized to test the hypotheses, focusing on both the direct and indirect effects of internal and external learning dimensions on organizational performance. The findings reveal that both learning and supply chain agility significantly enhance the performance of fashion SMEs, underscoring their importance in boosting organizational effectiveness. Specifically, the study highlights that internal learning processes and external knowledge acquisition are both critical in fostering a more agile and responsive supply chain. These results contribute to the understanding of how SMEs in the fashion sector can leverage learning and agility to improve performance, supporting the development of more effective supply chain strategies. Consequently, the study's hypotheses are validated, providing valuable insights for practitioners and researchers in the field. This research underscores the potential for fashion SMEs to enhance their competitive edge and operational efficiency through strategic learning and agile supply chain management.
{"title":"Relationship between Organizational Learning and Supply Chain Agility on Organizational Performance: A Quantitative Study in Fashion SMEs","authors":"P. Dewa, Irma Nur Afiah, R. Umam","doi":"10.25077/josi.v23.n1.p46-60.2024","DOIUrl":"https://doi.org/10.25077/josi.v23.n1.p46-60.2024","url":null,"abstract":"Supply Chain Agility (SCA) is recognized as a crucial component in fostering organizational agility, offering a competitive and expansionary strategy for businesses. However, the impact of SCA on organizational performance, particularly in the fashion industry, remains underexplored. This study aims to investigate how learning and agility within the supply chain affect the performance of fashion SMEs, providing a comprehensive understanding of these dynamics. Employing a quantitative approach, data were collected through a questionnaire from 180 fashion SMEs in the Special Region of Yogyakarta, with responses obtained from managers in the fashion industry sector. This methodological choice ensures that the insights gathered are both relevant and specific to the targeted industry. A Structural Equation Modeling using Partial Least Squares (SEM-PLS) was utilized to test the hypotheses, focusing on both the direct and indirect effects of internal and external learning dimensions on organizational performance. The findings reveal that both learning and supply chain agility significantly enhance the performance of fashion SMEs, underscoring their importance in boosting organizational effectiveness. Specifically, the study highlights that internal learning processes and external knowledge acquisition are both critical in fostering a more agile and responsive supply chain. These results contribute to the understanding of how SMEs in the fashion sector can leverage learning and agility to improve performance, supporting the development of more effective supply chain strategies. Consequently, the study's hypotheses are validated, providing valuable insights for practitioners and researchers in the field. This research underscores the potential for fashion SMEs to enhance their competitive edge and operational efficiency through strategic learning and agile supply chain management.","PeriodicalId":502554,"journal":{"name":"Jurnal Optimasi Sistem Industri","volume":"46 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141659985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.25077/josi.v22.n2.p215-229.2023
Taufik, Nilda Tri Putri, Muhammad Kevin
In today's rapidly evolving industrial landscape, businesses are increasingly challenged to strike a balance between enhancing productivity and maintaining product quality. Company X, a renowned cement manufacturer in Indonesia, relies heavily on four key raw materials, among which clay is particularly crucial for the raw mix. Recent trends have shown a decrease in the Al2O3 composition of clay, necessitating adjustments in clay capacity to uphold quality standards. A thorough technical evaluation of the plant highlighted that a significant number of critical machines, totaling 17, were operating with mechanical availability below the desired threshold. Additionally, a utility analysis pinpointed a shortfall in meeting the required clay tonnage, leading to the identification of machines that would benefit from retrofitting. The financial implications of this initiative were substantial, with the initial investment for the upgrades and subsequent operational costs in the first year being considerable. Yet, this expenditure was offset by a notable profit in the first year post-retrofitting. Key financial metrics further underscored the project's viability: a highly favorable Net Present Value (NPV), an impressive Internal Rate of Return (IRR), a rapid Payback Period (PP), and a significant Profitability Index (PI). These parameters, derived from an exhaustive analysis, clearly support the strategic decision to invest in retrofitting the production machinery at Company X's cement plant, illustrating the project's feasibility and the prospective benefits of this investment.
在当今飞速发展的工业环境中，企业面临的挑战越来越多，如何在提高生产率和保持产品质量之间取得平衡是一个难题。X 公司是印度尼西亚一家知名的水泥生产商，主要依赖四种关键原材料，其中粘土对原材料的混合尤为重要。最近的趋势表明，粘土中的 Al2O3 成分有所减少，因此有必要调整粘土产能，以维持质量标准。对工厂进行的全面技术评估显示，有 17 台关键设备的机械可用率低于预期标准。此外，实用性分析还指出了在满足所需的粘土吨位方面存在的不足，从而确定了可以从改造中受益的机器。这一举措的财务影响巨大，升级的初始投资和随后第一年的运营成本都相当可观。然而，改造后第一年的显著利润抵消了这笔开支。关键的财务指标进一步证明了该项目的可行性：净现值（NPV）非常可观，内部收益率（IRR）令人印象深刻，投资回收期（PP）很快，盈利指数（PI）也很可观。通过详尽分析得出的这些参数明确支持投资改造 X 公司水泥厂生产设备的战略决策，说明了该项目的可行性和投资的预期收益。
{"title":"Technical Evaluation and Financial Analysis of a Retrofitting Investment Project for Production Machinery in a Cement Plant","authors":"Taufik, Nilda Tri Putri, Muhammad Kevin","doi":"10.25077/josi.v22.n2.p215-229.2023","DOIUrl":"https://doi.org/10.25077/josi.v22.n2.p215-229.2023","url":null,"abstract":"In today's rapidly evolving industrial landscape, businesses are increasingly challenged to strike a balance between enhancing productivity and maintaining product quality. Company X, a renowned cement manufacturer in Indonesia, relies heavily on four key raw materials, among which clay is particularly crucial for the raw mix. Recent trends have shown a decrease in the Al2O3 composition of clay, necessitating adjustments in clay capacity to uphold quality standards. A thorough technical evaluation of the plant highlighted that a significant number of critical machines, totaling 17, were operating with mechanical availability below the desired threshold. Additionally, a utility analysis pinpointed a shortfall in meeting the required clay tonnage, leading to the identification of machines that would benefit from retrofitting. The financial implications of this initiative were substantial, with the initial investment for the upgrades and subsequent operational costs in the first year being considerable. Yet, this expenditure was offset by a notable profit in the first year post-retrofitting. Key financial metrics further underscored the project's viability: a highly favorable Net Present Value (NPV), an impressive Internal Rate of Return (IRR), a rapid Payback Period (PP), and a significant Profitability Index (PI). These parameters, derived from an exhaustive analysis, clearly support the strategic decision to invest in retrofitting the production machinery at Company X's cement plant, illustrating the project's feasibility and the prospective benefits of this investment.","PeriodicalId":502554,"journal":{"name":"Jurnal Optimasi Sistem Industri","volume":"63 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139175791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.25077/josi.v22.n2.p142-152.2023
C. N. Rosyidi, Erina Annastya Octaviani, P. W. Laksono
Recognizing the paramount importance of operational effectiveness and resource management in supply chain management (SCM) of the fashion industry, this study addresses a specific challenge faced by a prominent Indonesian fashion footwear company. The inefficiency is due to repetitive sorting and packaging processes during product distribution, which significantly impact optimal production mixes and product distribution from the distribution center to the point of sale. A crucial aspect is also the optimization of the delivery route. To address these challenges and minimize the total cost of ownership, the study proposes an integrated optimization model. This model simultaneously determines the optimal production quantity, assortment packaging, and distribution channels, taking into account decision variables related to distribution in configuration boxes, overload and underload products, as well as production numbers that respond to store-specific demand fluctuations. A notable contribution of this research is the integration of product mix decisions into the assortment packaging and distribution model, which represents a novel approach. The optimal solution determined using the LINGO 18.0 software highlights the significant influence of product penalty costs and product demand parameters on the objective function, while shipping costs have no noticeable influence. By emphasizing the integration of product mix decisions into the optimization framework, this research contributes significantly to improving the understanding and practical application of efficient supply chain management in the fashion industry.
{"title":"An integrated Optimization Model of Product Mix, Assortment Packing, and Distribution in A Fashion Footwear Company","authors":"C. N. Rosyidi, Erina Annastya Octaviani, P. W. Laksono","doi":"10.25077/josi.v22.n2.p142-152.2023","DOIUrl":"https://doi.org/10.25077/josi.v22.n2.p142-152.2023","url":null,"abstract":"Recognizing the paramount importance of operational effectiveness and resource management in supply chain management (SCM) of the fashion industry, this study addresses a specific challenge faced by a prominent Indonesian fashion footwear company. The inefficiency is due to repetitive sorting and packaging processes during product distribution, which significantly impact optimal production mixes and product distribution from the distribution center to the point of sale. A crucial aspect is also the optimization of the delivery route. To address these challenges and minimize the total cost of ownership, the study proposes an integrated optimization model. This model simultaneously determines the optimal production quantity, assortment packaging, and distribution channels, taking into account decision variables related to distribution in configuration boxes, overload and underload products, as well as production numbers that respond to store-specific demand fluctuations. A notable contribution of this research is the integration of product mix decisions into the assortment packaging and distribution model, which represents a novel approach. The optimal solution determined using the LINGO 18.0 software highlights the significant influence of product penalty costs and product demand parameters on the objective function, while shipping costs have no noticeable influence. By emphasizing the integration of product mix decisions into the optimization framework, this research contributes significantly to improving the understanding and practical application of efficient supply chain management in the fashion industry.","PeriodicalId":502554,"journal":{"name":"Jurnal Optimasi Sistem Industri","volume":"7 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139173172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.25077/josi.v22.n2.p197-214.2023
Resty Ayu Ramadhani, Rina Fitriana, Anik Nur Habyba, Yun-Chia Liang
This study explores the application of Six Sigma and data mining methodologies to address the high defect rate in the packaging of Wardah Lightening Powder Foundation. Faced with quality control challenges, the research aims to systematically identify the root causes of packaging defects and develop strategic measures to enhance product quality. Employing a comprehensive Six Sigma approach, the study incorporates various analytical tools, including SIPOC diagrams, Critical-to-Quality (CTQ) characteristics, control charts, Pareto diagrams, and Failure Modes and Effects Analysis (FMEA). These tools facilitate a detailed investigation of the packaging process, highlighting significant failure types and inefficiencies. The research methodology involves an extensive data collection and analysis phase, utilizing data mining techniques to delve into historical defect data. This analysis uncovers underlying patterns and correlations that contribute to packaging failures. Based on these findings, the study proposes targeted interventions to mitigate defect levels. These interventions include the implementation of alarm systems and buzzers on production lines to promptly address issues, and the redesign of ink storage labels for clearer communication and error reduction. The outcomes of this study demonstrate a substantial improvement in packaging quality, evidenced by a marked reduction in defect rates. This enhancement not only contributes to operational efficiency but also plays a crucial role in elevating customer satisfaction levels. The research underscores the effectiveness of integrating Six Sigma with data mining in identifying, analyzing, and resolving quality issues in manufacturing processes. It provides valuable insights for organizations in the packaging industry seeking to optimize their quality control mechanisms and achieve higher standards of product excellence.
{"title":"Enhancing Quality Control of Packaging Product: A Six Sigma and Data Mining Approach","authors":"Resty Ayu Ramadhani, Rina Fitriana, Anik Nur Habyba, Yun-Chia Liang","doi":"10.25077/josi.v22.n2.p197-214.2023","DOIUrl":"https://doi.org/10.25077/josi.v22.n2.p197-214.2023","url":null,"abstract":"This study explores the application of Six Sigma and data mining methodologies to address the high defect rate in the packaging of Wardah Lightening Powder Foundation. Faced with quality control challenges, the research aims to systematically identify the root causes of packaging defects and develop strategic measures to enhance product quality. Employing a comprehensive Six Sigma approach, the study incorporates various analytical tools, including SIPOC diagrams, Critical-to-Quality (CTQ) characteristics, control charts, Pareto diagrams, and Failure Modes and Effects Analysis (FMEA). These tools facilitate a detailed investigation of the packaging process, highlighting significant failure types and inefficiencies. The research methodology involves an extensive data collection and analysis phase, utilizing data mining techniques to delve into historical defect data. This analysis uncovers underlying patterns and correlations that contribute to packaging failures. Based on these findings, the study proposes targeted interventions to mitigate defect levels. These interventions include the implementation of alarm systems and buzzers on production lines to promptly address issues, and the redesign of ink storage labels for clearer communication and error reduction. The outcomes of this study demonstrate a substantial improvement in packaging quality, evidenced by a marked reduction in defect rates. This enhancement not only contributes to operational efficiency but also plays a crucial role in elevating customer satisfaction levels. The research underscores the effectiveness of integrating Six Sigma with data mining in identifying, analyzing, and resolving quality issues in manufacturing processes. It provides valuable insights for organizations in the packaging industry seeking to optimize their quality control mechanisms and achieve higher standards of product excellence.","PeriodicalId":502554,"journal":{"name":"Jurnal Optimasi Sistem Industri","volume":"36 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139176162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-18DOI: 10.25077/josi.v22.n2.p153-164.2023
Ghalda Khairunnisa, Hasrini Sari
Amid the escalating environmental crisis that has prompted consumers to adopt eco-friendly lifestyles, the popularity of eco-friendly personal care products is increasing significantly. Nevertheless, marketing these products presents challenges that include inadequate product information, perceived unaffordable prices, and relatively low consumer trust. These challenges present an opportunity for the marketing field to increase consumer interest, particularly through advertising, an important medium for disseminating product information. Recognizing the importance of advertising components in influencing consumer preferences, this study uses eye-tracking to identify critical elements in promoting eco-friendly personal care products. The components examined include information on environmental and personal benefits, the presence or absence of price information, and the presentation of an environmental label (logo and text) in advertising. Each of the 43 participants is confronted with eight carefully crafted advertising stimuli. The results of the study highlight the significant influence of clear benefits and price information on consumer preferences, while indicating that eco-label display does not have a significant impact on consumer preference. This research is intended to serve as a source of actionable marketing strategies and is intended to help promote eco-friendly products and increase consumer interest through targeted and effective advertising.
{"title":"Eye Tracking-based Analysis of Customer Interest on The Effectiveness of Eco-friendly Product Advertising Content","authors":"Ghalda Khairunnisa, Hasrini Sari","doi":"10.25077/josi.v22.n2.p153-164.2023","DOIUrl":"https://doi.org/10.25077/josi.v22.n2.p153-164.2023","url":null,"abstract":"Amid the escalating environmental crisis that has prompted consumers to adopt eco-friendly lifestyles, the popularity of eco-friendly personal care products is increasing significantly. Nevertheless, marketing these products presents challenges that include inadequate product information, perceived unaffordable prices, and relatively low consumer trust. These challenges present an opportunity for the marketing field to increase consumer interest, particularly through advertising, an important medium for disseminating product information. Recognizing the importance of advertising components in influencing consumer preferences, this study uses eye-tracking to identify critical elements in promoting eco-friendly personal care products. The components examined include information on environmental and personal benefits, the presence or absence of price information, and the presentation of an environmental label (logo and text) in advertising. Each of the 43 participants is confronted with eight carefully crafted advertising stimuli. The results of the study highlight the significant influence of clear benefits and price information on consumer preferences, while indicating that eco-label display does not have a significant impact on consumer preference. This research is intended to serve as a source of actionable marketing strategies and is intended to help promote eco-friendly products and increase consumer interest through targeted and effective advertising.","PeriodicalId":502554,"journal":{"name":"Jurnal Optimasi Sistem Industri","volume":"243 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139174183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
When confronted with underperforming suppliers, the need to evaluate and improve supplier performance becomes apparent. However, the inherent inaccuracies in information introduce complexity, especially when subjective human judgment is involved in the supplier evaluation process. Associated with such problem, this study presents a novel methodology for supplier performance evaluation in the crumb rubber industry, integrating the Taguchi Loss Function (TLF), fuzzy Best-Worst Method (BWM), and VIKOR technique in group decision-making environment. Aimed at addressing the challenges in industries with variable supplier quality and performance, such as the crumb rubber industry in Indonesia, the methodology was empirically tested to demonstrate its practical utility. The process involved identifying evaluation criteria through literature review tailored to the needs of decision makers (DMs), applying TLF to quantify losses from supplier performance deviations, using fuzzy BWM to determine criteria weights based on the DMs judgment, and employing the VIKOR technique for comprehensive supplier ranking. The findings underscore the methodology's effectiveness in enhancing decision-making, offering a unified metric that accommodates diverse criteria and balances precise data with subjective assessments. This approach simplifies the evaluation process, particularly in situations with conflicting interests among decision-makers. Demonstrating its practical application in the crumb rubber industry, the study highlights the methodology's potential for broader industrial applicability. Future research could explore comparative analyses with other analytical methods, further establishing the methodology's robustness and adaptability in different management contexts.
{"title":"Innovative Multi-Criteria Decision-Making Approach for Supplier Evaluation: Combining TLF, Fuzzy BWM, and VIKOR","authors":"Ikhwan Arief, Dicky Fatrias, Ferry Jie, Armijal Armijal","doi":"10.25077/josi.v22.n2.p179-196.2023","DOIUrl":"https://doi.org/10.25077/josi.v22.n2.p179-196.2023","url":null,"abstract":"When confronted with underperforming suppliers, the need to evaluate and improve supplier performance becomes apparent. However, the inherent inaccuracies in information introduce complexity, especially when subjective human judgment is involved in the supplier evaluation process. Associated with such problem, this study presents a novel methodology for supplier performance evaluation in the crumb rubber industry, integrating the Taguchi Loss Function (TLF), fuzzy Best-Worst Method (BWM), and VIKOR technique in group decision-making environment. Aimed at addressing the challenges in industries with variable supplier quality and performance, such as the crumb rubber industry in Indonesia, the methodology was empirically tested to demonstrate its practical utility. The process involved identifying evaluation criteria through literature review tailored to the needs of decision makers (DMs), applying TLF to quantify losses from supplier performance deviations, using fuzzy BWM to determine criteria weights based on the DMs judgment, and employing the VIKOR technique for comprehensive supplier ranking. The findings underscore the methodology's effectiveness in enhancing decision-making, offering a unified metric that accommodates diverse criteria and balances precise data with subjective assessments. This approach simplifies the evaluation process, particularly in situations with conflicting interests among decision-makers. Demonstrating its practical application in the crumb rubber industry, the study highlights the methodology's potential for broader industrial applicability. Future research could explore comparative analyses with other analytical methods, further establishing the methodology's robustness and adaptability in different management contexts.","PeriodicalId":502554,"journal":{"name":"Jurnal Optimasi Sistem Industri","volume":"22 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139175236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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