Journal of Industrial System Engineering and Management

Transforming Small-Scale Garment Production: Lean Manufacturing and VSM Strategies for Enhanced Productivity in Makassar's MSMEs

2025-04-03T10:40:17+00:00

This research aims to examine the application of Lean Manufacturing and Value Stream Mapping (VSM) in enhancing productivity within micro, small, and medium enterprises (MSMEs) in the garment sector in Makassar. By focusing on identifying and reducing waste, this study analyzes cycle times and activity mapping to uncover bottlenecks that hinder operational efficiency. The analysis results indicate that the implementation of Lean principles can lead to significant improvements in production processes, including reductions in cycle time and waiting time. Furthermore, this research highlights the importance of eliminating non-value-added activities and integrating advanced technologies, such as automation and real-time tracking systems, to further enhance efficiency. These findings not only provide valuable insights for industry practitioners but also offer practical guidance for optimizing production processes. By adopting Lean strategies, garment MSMEs in Makassar can improve their competitiveness in an increasingly competitive market while contributing to regional economic development. This study is expected to serve as a reference for researchers, practitioners, and policymakers in efforts to create a more efficient and sustainable garment industry in Indonesia.

Analysis The Effect of Water Quality and Service Quality on Consumer Loyalty

2025-05-22T14:18:47+00:00

Sustainability of water supply services hold contributes to human well-being with individual preferences. So, there is need to assess for the public from various levels of water services in an effort to ensure water provision with the aim of achieving customer satisfaction in its use so that it can build their own loyalty. So therefore, this study was conducted to determine how water quality and service effect consumer loyalty using the Structural Equation Modeling (SEM) by looking for variables that influence quality and success in achieving user loyalty by forming a diagram of the relationship between variables and indicators, confirmatory analysis factors for exogenous and endogenous variables in the initial model, data normality tests and outlier evaluations. The model fit test in this study uses several criteria, including Chi Square, GFI, TLI, CLI, AGFI and RMSEA. Based on the results of this study, it shows that (1) the variable (CS) Consumer Satisfaction value of 0.768, meaning that the variable (CS) Consumer Satisfaction can be explained by (WQ) Water Quality (SQ) Service Quality with a percentage value of 76.8% while 24.2% can be explained by other variables not examined in this study. (2) not all antecendent variables have a significant influence on the consequent variables. Also, not all hypotheses are accepted. All antecedent variables cannot explain the consequent variables because the R2 value is less than 0.5.

Analysis of Occupational Health and Safety Risks in the Palm Oil Processing Industry Using the HIRARC Method

2025-05-22T14:39:11+00:00

The palm oil production industry is characterized by physically demanding tasks, high-temperature processes, and suboptimal working conditions, all of which contribute to a high risk of workplace accidents and health issues. At PT XX, 80% of reported work accidents are attributed to unsafe actions by workers, highlighting the need for a structured occupational health and safety management system. This study aims to identify hazards, assess occupational risks, and recommend appropriate control measures using the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) method. Data were collected through field observations, interviews with 18 workers and 5 safety experts, and documentation across three key workstations: the loading ramp, sterilizer, and classification stations. The analysis identified a total of 15 work activities, with 3 classified as high-risk, 4 as medium-risk, and 8 as low-risk. High-risk activities were primarily related to exposure to high temperatures and confined workspaces. Control measures focused on engineering solutions, administrative controls, and the consistent use of Personal Protective Equipment (PPE). The application of the HIRARC method proved effective in systematically identifying and assessing risks, as well as in formulating targeted control strategies to reduce unsafe conditions and improve overall workplace safety performance. The study concludes that implementing the HIRARC framework significantly contributes to enhancing occupational health and safety in palm oil production environments.

Analysis of Factors Influencing Business Process Engineering with the Structural Equation Mode Method Approach

2025-04-03T10:38:59+00:00

BPR or business process reengineering is a process to achieve radical improvements in terms of time, quality, rewards, and of course costs by simultaneously redesigning processes, organizations, and information systems. In this study, IT/technology and HR factors (human resources) are used in re-engineering public facilities assisted by expert systems to create efficiency and effectiveness and increase value. The main factor used in this study is the management system, especially for making changes to the organizational structure, improving the administration system, and Relationship Management. The model suitability test in this report uses several criteria, including Chi-Square, GFI, AGFI, and RMSEA. Although the final model obtained a high Chi-square value (13.157) with a probability of zero, because several other criteria were met with an AGFI value above 0.9 and an RMSEA value below 0.08, the model is considered suitable. Based on the model output, it is known that not all antecedent variables have a significant influence on the consequent variables. Likewise, not all hypotheses are accepted. All antecedent variables cannot explain the consequent variables because the R2 value is less than 0.5.

Performance Measurement of a Construction Consulting Company Using Integrated Performance Prism and Fuzzy Analytical Hierarchy Process (Fuzzy AHP)

2026-07-31T07:19:44+00:00

Performance measurement plays a strategic role in translating a company's strategy into concrete action and in evaluating the achievement of organizational goals, particularly for consulting service firms whose performance depends heavily on the satisfaction of multiple stakeholders. PT. Galaksi Prima Consultant, a construction consulting company in Makassar, has not implemented a performance measurement system that comprehensively accommodates the interests of its customers, employees, owner, and suppliers, so that its overall performance has not been systematically monitored. This study develops a performance measurement model that integrates the Performance Prism framework to identify Key Performance Indicators (KPIs) from five perspectives, with the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to determine the weight of importance of each KPI while accommodating the uncertainty of expert judgment. Pairwise comparison results were converted into Triangular Fuzzy Numbers and processed through fuzzy synthesis and defuzzification to obtain crisp weights, all of which passed the consistency test (CR < 0.1). The results show that 55 KPIs were identified across four stakeholder groups, with the customer perspective obtaining the highest weight (0.374), followed by employees (0.289), suppliers (0.230), and owner (0.107). The overall performance score of PT. Galaksi Prima Consultant was 2.919, which falls into the moderate/fairly good category. The proposed model provides a systematic and replicable reference for measuring and improving the performance of construction consulting companies..