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All Journal JURNAL TEKNIK INDUSTRI
Adisuwiryo, Sucipto Adisuwiryo
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Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering

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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. 
A Bibliometric Analysis of Undergraduate Theses in Industrial Engineering Undergraduate at Universitas Trisakti: Research Trends and Future Directions  Harahap, Elfira Febriani Harahap; Fitriana, Rina Fitriana; Adisuwiryo, Sucipto Adisuwiryo
JURNAL TEKNIK INDUSTRI Vol. 15 No. 1 (2025): March 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i1.22492

Abstract

Industrial Engineering (IE) is a multidisciplinary field that evolves alongside technological advancements and global challenges. While bibliometric analyses are commonly used to assess journal publications, limited studies focus on the research trends within undergraduate theses, especially in Indonesia. Understanding these trends is essential for aligning academic curricula with emerging research areas. This study analyzes research trends in undergraduate theses at Universitas Trisakti's Industrial Engineering Department between 2021 and 2024. Data were collected from the campus repository and filtered using the keyword “industrial engineering.” A bibliometric analysis was conducted using Microsoft Excel for data processing and Python for computational mapping. K-means clustering was applied to identify active supervisors and research collaborations across laboratories. A total of 350 theses were analyzed, showing a peak in publications in 2021 (130 theses). The Quality Engineering Laboratory emerged as the most active contributor, with standard methodologies including FMEA, Six Sigma, Simulation, and Sustainable Practices. Key supervisors such as Triwulandari, Didien S, and Wawan K significantly shaped research directions. The study recommends integrating emerging technologies such as AI, machine learning, and Industry 4.0 to enhance future research relevance and industrial applications.
Co-Authors Harahap, Elfira Febriani Harahap Rina Fitriana Rusy, Rafif Irfansyah Putra Rusy Septiani, Winnie Septiani