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Journal : Journal of Industrial Engineering Management

RANKED KEY FACTOR THAT AFFECT PERSON DECISION TRANSFORMING TO AN ELECTRIC VEHICLE : STRUCTURAL EQUATION MODELLING Juliano, Ade; Cahyo, Winda Nur
Journal of Industrial Engineering Management Vol 8, No 3 (2023): Journal of Industrial Engineering and Management Vol 8 No 3
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v8i3.1487

Abstract

The development of electric vehicles (EVs) has significantly disrupted the world's road transportation industry. EVs are predicted to account for more than 50% of new vehicle sales globally by 2035, however demand will differ greatly from country to country. Automobile is one of Indonesia’s key industry that support GDP, it is important for the industry to adapt to the transformation from ICE (Internal Combustion Engine) to EV (Electric Vehicle). Using the SEM (Structural Equation Model) Analysis approach, this research will help the automobile industry in Indonesia by reviewing and analyzing the key factor of Electric Vehicles. From this analysis, the industry can learn and implement the right strategy to penetrate the potential EV demand of Indonesia market.
IMPROVING OCCUPATIONAL SAFETY IN BUILDING MATERIAL RETAIL THROUGH HIRA AND JSA Kurnia, Ratih Dianingtyas; Septiyandi, Muhammad Aldo; Cahyo, Winda Nur
Journal of Industrial Engineering Management Vol 10, No 1 (2025): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v10i1.1910

Abstract

Construction and material shops involve various high-risk activities, making Occupational Safety and Health (OSH) practices essential. This study aims to build a clear picture of existing safety practices and key risks in building material retail requiring attention through structured safety initiatives. Based on the findings, this study provides recommendations to improve OSH practices for workers in these environments. HIRA (Hazard Identification and Risk Assessment) and JSA (Job Safety Analysis) methods were employed to identify potential occupational hazards by defining the characteristics of possible hazards and evaluating associated risks. The findings reveal several unsafe acts and conditions from various working process and activity leading to potential hazards. A total of eight potential hazards were identified with HIRA uncovering one extreme risk, three very high risks, three high risks, and one medium risk. Among these potential hazards, manual handling posing the highest risk, followed by ergonomic issues, dust exposure, and contact with sharp objects where all classified as very high risks. To mitigate these risks, by using JSA, a combination of engineering controls, administrative measures, and PPE use was recommended in order to improve material handling, workstation conditions, and safety equipment usage. These recommendations serve as the foundation for implementing a proper OSH management system.
IMPROVING OCCUPATIONAL SAFETY IN BUILDING MATERIAL RETAIL THROUGH HIRA AND JSA Kurnia, Ratih Dianingtyas; Septiyandi, Muhammad Aldo; Cahyo, Winda Nur
Journal of Industrial Engineering Management Vol 10, No 1 (2025): Vol 10, No 1 (2025): Journal of Industrial Engineering and Management
Publisher : Center for Study and Journal Management FTI UMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jiem.v10i1.1185

Abstract

Construction and material shops involve various high-risk activities, making Occupational Safety and Health (OSH) practices essential. This study aims to build a clear picture of existing safety practices and key risks in building material retail requiring attention through structured safety initiatives. Based on the findings, this study provides recommendations to improve OSH practices for workers in these environments. HIRA (Hazard Identification and Risk Assessment) and JSA (Job Safety Analysis) methods were employed to identify potential occupational hazards by defining the characteristics of possible hazards and evaluating associated risks. The findings reveal several unsafe acts and conditions from various working process and activity leading to potential hazards. A total of eight potential hazards were identified with HIRA uncovering one extreme risk, three very high risks, three high risks, and one medium risk. Among these potential hazards, manual handling posing the highest risk, followed by ergonomic issues, dust exposure, and contact with sharp objects where all classified as very high risks. To mitigate these risks, by using JSA, a combination of engineering controls, administrative measures, and PPE use was recommended in order to improve material handling, workstation conditions, and safety equipment usage. These recommendations serve as the foundation for implementing a proper OSH management system.