Jurnal Optimasi Sistem Industri

Feature Selection and Performance Evaluation of Buzzer Classification Model

Wed, 10 Jul 2024 00:00:00 +0700

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.

SEM Analysis of Contractor Performance in Accelerating Electrical Construction Project: Insights from Herzberg's Dual Factor Theory

Virda Hersy Lutviana Saputri, Nasrulloh (Author) — Wed, 10 Jul 2024 00:00:00 +0700

In the rapidly developing electrical construction industry, the success of organizations is directly linked to the performance of their business partners. This study focuses on Indonesia's state-owned electrical enterprises, where a notable decline in Key Performance Indicators (KPIs) has raised concerns, hypothesizing that deficiencies in contractor performance are a major barrier to the timely completion of electrical construction projects. At the core of this issue is the role of human resources, identified as a pivotal factor in contractor performance that directly impacts project completion. The aim of the research is to elucidate the complex dynamics between motivator and hygiene factors, which are fundamental to Herzberg's dual factor theory, and their impact on the performance of the contractor's employees. Using Structural Equation Modeling (SEM), the study analyzes data from questionnaires distributed to 250 industry professionals. The analysis provides key insights into how these factors significantly influence job satisfaction and, ultimately, employee performance. These insights play a critical role in strategically planning contractor management practices. By emphasizing the need to understand the key factors driving employee satisfaction and performance, the study lays a solid foundation for designing effective employment contracts and management strategies. The practical implications of this research are significant, offering a pathway for contractors to enhance employee satisfaction and performance. This ultimately leads to the delivery of high-quality electrical infrastructure projects efficiently and promptly, underlining the study's relevance and importance in the contemporary industrial landscape.

Lean Implementation in Indonesian Small and Medium Enterprises: A Systematic Literature Review

Difana Meilani, Hasnida Ab Samat (Author) — Wed, 10 Jul 2024 00:00:00 +0700

Lean implementation focuses on reducing waste and improving efficiency in business operations, a strategy widely embraced in developed countries. However, its adoption among Indonesian SMEs is limited and lacks adequate research. Understanding how lean practices can effectively enhance competitiveness and productivity in this vital sector of the Indonesian economy is crucial. Despite its widespread use in Western countries, there's a noticeable gap in research specifically examining how lean principles are applied within SMEs, especially in developing countries like Indonesia. Furthermore, there's a clear scarcity of studies detailing the current state of lean implementation in Indonesia, particularly within SMEs. This study conducted a systematic literature review (SLR), thoroughly searching peer-reviewed journals and conference papers. We identified 441 articles related to lean practices in Indonesia, with 40 focusing specifically on SMEs. Through this review, we uncovered key themes and trends in lean implementation, offering valuable insights into current practices and highlighting areas for future research. This paper represents one of the first comprehensive SLRs exploring lean practices within Indonesian SMEs. It aims to deepen our understanding of how lean methodologies impact SME operations in Indonesia and provides practical guidance for researchers and practitioners interested in lean implementation. By bridging these research gaps, we hope to contribute to the body of knowledge on lean implementation in Indonesian SMEs, suggesting strategies for effective implementation and paving the way for further study in this important area.

Relationship between Organizational Learning and Supply Chain Agility on Organizational Performance: A Quantitative Study in Fashion SMEs

Parama Kartika Dewa, Irma Nur Afiah, Rofiqul Umam (Author) — Wed, 10 Jul 2024 00:00:00 +0700

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.

Ergonomic Risk Assessment of Warehouse Workers in the Courier Service Industry: A Case Study from Kuantan, Malaysia

Wed, 10 Jul 2024 00:00:00 +0700

The global surge in demand for courier services has introduced both benefits and challenges. Courier workers face immense pressure to handle large volumes of orders, leading to increasing cases of health and occupational injuries. The lack of ergonomic interventions in their work highlights the urgent need for ergonomic assessments in the courier industry. In Malaysia, current ergonomic risk assessments for warehouse courier workers are insufficient, making it essential to identify prevalent musculoskeletal disorders (MSDs) and determine the associated risk factors and levels posed by their daily tasks. This study aimed to address this gap by conducting ergonomic risk assessments among 35 warehouse workers using the Cornell Musculoskeletal Discomfort Questionnaire (CMDQ), the Initial Ergonomic Risk Assessment (ERA) Checklist, and Rapid Entire Body Assessment (REBA). Three different work tasks were observed: scanning and sorting, tiered storage and stacking, and load unloading. The findings revealed that lower back pain was the most common ailment (14.5%), followed by hip pain (8.39%) and neck pain (7.89%). The tiered stacking storage activity posed the highest ergonomic risk, with identified risk factors including awkward postures, static and sustained activity, and repetitive tasks. The REBA analysis indicated a very high-level risk for tiered stacking storage, necessitating immediate ergonomic interventions. These findings contribute to the field of ergonomics and provide valuable insights for safety practitioners, ergonomists, researchers, and academicians in occupational safety and health and the courier service industries.

Optimal PLA+ 3D Printing Parameters through Charpy Impact Testing: A Response Surface Methodology

Wed, 10 Jul 2024 00:00:00 +0700

Additive manufacturing (AM) has revolutionized the manufacturing sector, particularly with the advent of 3D printing technology, which allows for the creation of customized, cost-effective, and waste-free products. However, concerns about the strength and reliability of 3D-printed products persist. This study focuses on the impact of three crucial variables—infill density, printing speed, and infill pattern—on the strength of PLA+ 3D-printed products. Our goal is to optimize these parameters to enhance product strength without compromising efficiency. We employed Charpy impact testing and Response Surface Methodology (RSM) to analyze the effects of these variables in combination. Charpy impact testing provides a measure of material toughness, while RSM allows for the optimization of multiple interacting factors. Our experimental design included varying the infill density from low to high values, adjusting printing speeds from 70mm/s to 100mm/s, and using different infill patterns such as cubic and others. Our results show that increasing infill density significantly boosts product strength but also requires more material and longer processing times. Notably, we found that when the infill density exceeds 50%, the printing speed can be increased to 100mm/s without a notable reduction in strength, offering a balance between durability and production efficiency. Additionally, specific infill patterns like cubic provided better strength outcomes compared to others. These findings provide valuable insights for developing stronger and more efficient 3D-printed products using PLA+ materials. By optimizing these parameters, manufacturers can produce high-strength items more efficiently, thereby advancing the capabilities and applications of 3D printing technology in various industries.

Systematic Review of Kansei Engineering Method Developments in the Design Field

Afif Hakim, Bambang Suhardi, Pringgo Widyo Laksono, Mirwan Ushada (Author) — Wed, 10 Jul 2024 00:00:00 +0700

Kansei engineering is a critical method for designing products that meet functionality, usability, and pleasurability, essential elements for business success. Despite its significance, there is limited understanding of how this method has evolved in recent years. This study aims to analyze the development of Kansei Engineering research from 2018 to 2022 using the Scopus database. The research methodology involved stages of identification, screening, filtering, and inclusion, resulting in 41 articles for detailed analysis out of an initial 215. The results indicate that 85% of Kansei Engineering research focuses on tangible products, with 83% categorized as type 1 studies, and 56% not integrating other methods. Additionally, 88% of the studies use only Kansei words, and 41% visualize design results as 3D images, with 95% not considering unique aspects. is dominance of tangible product design and the lack of integration with other methods suggest a need for diversification in research approaches. Furthermore, the high reliance on Kansei words and 3D visualizations points to a potential area for innovation and expansion in research techniques. This review highlights a significant research gap in Kansei Engineering studies, emphasizing the need for more diversified approaches. By identifying these gaps, the study provides a clear direction for future research, recommending that Kansei Engineering should explore beyond the predominant trends and consider integrating with other methods and unique aspects. This can enhance the method's application in industrial engineering and lead to more comprehensive and innovative product designs. Future research should aim to fill these gaps, ensuring that Kansei Engineering continues to evolve and contribute effectively to the field of product design and development.

Enhancing Operations for Sustainability in Indonesian SMEs through Climate Change Awareness and Business Orientation

Wed, 10 Jul 2024 00:00:00 +0700

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.

Authorship Correction: Application of the Total Productive Maintenance to Increase the Overall Value of Equipment Effectiveness on Ventilator

Herry Agung Prabowo, Indra Maulana Fahturizal, Hibarkah Kurnia (Author) — Wed, 10 Jul 2024 00:00:00 +0700

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.