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Minimize Mental Workload and Fatigue of Horizontal Directional Drilling Worker Using Rating Scale Mental Effort and Swedish Occupational Fatigue Inventory Methods. Septiani, Winnie Septiani; Rusy, Rafif Irfansyah Putra Rusy; Adisuwiryo, Sucipto Adisuwiryo
JURNAL TEKNIK INDUSTRI Vol. 14 No. 2 (2024): July 2024
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v14i2.21084

Abstract

Horizontal Directional Drilling (HDD) is a drilling technique that does not damage the groundsurface; the HDD process involves a stage that requires high concentration and physical skills and isoften carried out in challenging working conditions, causing mental Workload and fatigue in HDDworkers. HDD workers should be given improvements in their work methods to be safe whenworking due to being too tired or losing focus. HDDs must be monitored in real-time, which requiresworkers to get good results without errors so that workers experience workload pressure andmental fatigue. This study aims to measure and minimize mental Workload and fatigue in HDDworkers and determine improvement proposals based on the why-why diagram. Mental workloadmeasurement using the RSME method and fatigue using SOFI and why diagrams are used to findcause and effect in mental Workload and fatigue experienced by HDD workers. Based on the analysisof RSME, the scale value obtained based on six indicators of WL, WD, WP, WME, WA, and WF is 92.05,which is in the category of enormous business carried out, and the KiK indicator or fatigue gets thehighest scale value of 106.52 with the business category given is very large so that HDD workersexperience a mental workload. Mental workload and fatigue correlate. Based on the results of SOFI,the sleepiness dimension received a score of 21.83 with a high level of fatigue category. Therefore,the proposed improvement to the causal results of the Why Diagram is adding the workforce,adjusting work shifts, and monitoring and evaluating HDD workers. 
Human Error Mitigation in The Process of Installing Plastic Body Parts of Electric Motorcycle Products Using The Sherpa and Heart Methods Setyaji, Bagas Athallah Setyaji; Septiani, Winnie Septiani; Safitri, Dian Mardi Safitri
JURNAL TEKNIK INDUSTRI Vol. 16 No. 1 (2026): March 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v16i1.23897

Abstract

The problem identified in the plastic body installation process of GESITS electric motorcycles is human error committed by operators. These errors include improper installation of parts that create gaps between components, failure to install nuts, bolts, and couplers, and failure to return tools after use. This study aims to reduce the potential for human error by applying the Systematic Human Error Reduction and Prediction (SHERPA) and Human Error Assessment and Reduction Technique (HEART) methods to identify errors and determine appropriate mitigation strategies. Direct observations were conducted on eight operators across four workstations. Interviews with Quality Assurance (QA) and Quality Control (QC) personnel were also conducted to obtain relevant information on product quality issues. The analysis shows that the highest potential error occurs when operators fail to return tools after use, which may result in product scratches or pose safety risks to operators. The second-highest potential error involves improper installation of parts in accordance with standards. Based on the findings, proposed improvements include conducting training and performance evaluations for production personnel, developing QC running check sheets to ensure product quality during assembly, and installing safety and SOP reminder signs to emphasize the importance of returning tools after use.