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Jurnal Sistem Teknik Industri
Published by Universitas Sumatera Utara
ISSN : 14115247     EISSN : 25279408     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering
Jurnal Sistem Teknik Industri (JSTI) of Universitas Sumatera Utara, Faculty of Engineering, Department of Industrial Engineering, was published in 1998. Until now, the number of publications has reached 21 volumes, each of which is published by TALENTA Publisher twice a year . Each volume has two publishing numbers, namely January issue numbers and July issue numbers.
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Articles 228 Documents
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Planning of a Preventive Maintenance System for Lathe Machines Using the RCM II and FMECA Adsa, Fattah Fadjrir; Ishak, Aulia; Anizar
Jurnal Sistem Teknik Industri Vol. 28 No. 1 (2026): JSTI Volume 28 Number 1 January 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i1.23630

Abstract

Unplanned downtime and ineffective maintenance strategies remain major challenges in improving the reliability of production machinery in manufacturing industries. This study proposes a structured preventive maintenance system for a CW6293 lathe machine by integrating Reliability Centered Maintenance II (RCM II) and Failure Mode, Effects, and Criticality Analysis (FMECA). The novelty of this research lies in the systematic integration of risk-based criticality assessment, statistical reliability modeling, and maintenance task selection to develop an optimized maintenance framework. FMECA is employed to prioritize components based on severity, occurrence, and detection attributes, identifying the gearbox as the most critical component. Reliability analysis using Time Between Failure (TBF) and Time To Repair (TTR) data is conducted to determine appropriate maintenance intervals through Weibull and Normal distribution modeling. The RCM II decision logic is then applied to translate reliability characteristics and failure consequences into specific maintenance actions, namely scheduled discard and scheduled restoration tasks. This integrated approach enables the development of a proactive maintenance system that improves decision-making accuracy, enhances machine reliability, and supports a transition from reactive to risk-based preventive maintenance. The proposed framework demonstrates practical applicability for manufacturing environments and contributes to the advancement of maintenance engineering by combining reliability analysis, criticality evaluation, and structured maintenance policy design.
Quality Control Analysis Using the Seven Tools and Kaizen Methods to Minimize Terminal Defects in the Crimping Process Al-Bar, Arba; Tjahyono, Rudi
Jurnal Sistem Teknik Industri Vol. 28 No. 1 (2026): JSTI Volume 28 Number 1 January 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i1.23738

Abstract

Product quality control plays a crucial role in maintaining competitiveness in manufacturing industries, particularly in high-volume production processes where minor defects can significantly affect product functionality. This study analyzes quality issues in the crimping process of wiring harness terminals at PT XYZ, where 1,170,016 terminals were produced over an eight-month period, resulting in 1,755 defective units (0.15%). The Seven Tools method including check sheets, histograms, scatter diagrams, control charts, pareto diagrams, fishbone diagrams, and stratification was employed to identify defect types and root causes. The analysis revealed that “too short” defects were the most dominant, accounting for 69.17% of total defects. The p-chart control chart indicated that the defect proportion fluctuated beyond control limits in several periods, signaling process instability. Furthermore, root cause analysis identified five main contributing factors: human, material, method, machine, and environment. Based on these findings, improvement proposals were formulated using the Kaizen approach through the Five-Step Plan and Five-M Checklist, focusing on standardization, training, preventive maintenance, and workplace organization. The proposed improvements are expected to enhance process stability, reduce defect occurrence, and support continuous quality improvement in the crimping process.
Prediction of Occupational Health Risk Using the Random Forest Machine Learning Model in a Metal Casting Workplace: A Case Study at CV. Karya Yudita Baroqah Nadilah Sary; Nismah Panjaitan; Abdul Rahim Matondang; Ukurta Tarigan
Jurnal Sistem Teknik Industri Vol. 28 No. 2 (2026): JSTI Volume 28 Number 2 April 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i2.23815

Abstract

Occupational health risks from chronic exposure to noise and airborne particulate matter remain a major concern in metal casting workplaces, especially in small-scale foundries with limited controls. The parameters measured in this study include noise exposure (Leq, dBA), particulate matter concentrations (PM₂.₅ and PM₁₀), and workers’ health symptoms. Field measurements at CV. Karya Yudita Baroqah showed exceedances of regulatory limits: noise levels in Molding and Finishing reached 89–93 dBA, and PM₂.₅ and PM₁₀ concentrations reached 72–80 µg/m³ and 155–174 µg/m³, surpassing recommended thresholds. These conditions indicate that workers are consistently exposed to hazardous environments that may lead to cumulative health impairments. This study aims to predict occupational health risk using a two-stage Random Forest model integrating environmental exposure data and workers’ symptoms. Stage-1 classified environmental risk levels with 99% accuracy, while Stage-2 predicted symptom-based health risk categories with 71% accuracy. PM₁₀ and PM₂.₅ were the strongest predictors, followed by noise intensity. The model demonstrates reliable performance and captures individual variability that traditional threshold-based assessments often overlook. The findings highlight that a combined machine-learning and HRA approach provides a practical, data-driven tool for early detection of high-risk workers and supports targeted interventions in metal casting workplaces.
Occupational Health and Safety Risk Analysis Using JSA and FMEA in Fatty Acid Tank Maintenance at PT Bramindra Indotama Gresik Arif Afandi; Deny Andesta; Yanuar Pandu Negoro
Jurnal Sistem Teknik Industri Vol. 28 No. 2 (2026): JSTI Volume 28 Number 2 April 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i2.24733

Abstract

This study aims to identify potential occupational hazards and assess the level of occupational health and safety (OHS) risks in the maintenance activities of the fatty acid tank at PT Bramindra Indotama Gresik using an integrated Job Safety Analysis (JSA) and Failure Mode and Effects Analysis (FMEA) approach.This research employs a qualitative descriptive approach, with data collected through direct observation, interviews, and questionnaires administered to maintenance workers and Health, Safety, and Environment (HSE) personnel. JSA was used to identify work steps and potential hazards, while FMEA was applied to evaluate risk levels based on Severity, Occurrence, and Detection, resulting in a Risk Priority Number (RPN). The results indicate that several activities fall into high-risk categories, particularly during Lock Out Tag Out (LOTO), tank cleaning and draining, and inspection of components inside the tank. The highest RPN values were associated with hazards related to residual energy, confined space conditions, and manual handling. The implementation of risk control measures based on the hierarchy of controls is expected to reduce workplace accident risks, improve compliance with safety procedures, and strengthen the OHS culture. Therefore, the integration of JSA and FMEA is proven to be an effective approach for identifying hazards and prioritizing risk control in maintenance activities.
Capacity Planning for Assembly Plant Unit PC1250 at Heavy Equipment Manufacturing Company Anastasia Maukar; Rahman Ramadhan
Jurnal Sistem Teknik Industri Vol. 28 No. 2 (2026): JSTI Volume 28 Number 2 April 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i2.24889

Abstract

The rapid growth of Indonesia’s mining sector has triggered a critical capacity bottleneck on PT Komatsu Indonesia’s PC1250 production line. Current output is limited to 4 units per month compared to a projected demand of 7 units, resulting in an extreme overutilization rate of 256%. This study applies an Aggregate Planning strategy by comparing three methods: Transportation, Hybrid, and Excel Spreadsheet GRG, which were validated through the Master Production Schedule (MPS) and Rough-Cut Capacity Planning (RCCP). Analysis results show that the Excel GRG Method is the optimal solution with the lowest cost of IDR 132,649,508, more efficient than the Transportation Method (IDR 135,833,000) and the recruitment-focused Hybrid Method (IDR 403,365,672). Although current facility capacity is limited to approximately 1,461 hours (1,320 regular hours and 141 overtime hours), the optimal strategy bridges this gap by utilizing 1,408 regular hours, 395 overtime hours, and 1,383 subcontracted hours. This approach successfully meets the cumulative demand for 49 units without a backlog, reducing the utilization rate from 256% to a more sustainable 95%, thereby ensuring operational stability and maximum economic efficiency.
Combination of Kansei Engineering and Ergonomic Function Deployment (EFD) in Designing Ergonomic Products: A Review Study Niken Kristin Silitonga; Anizar; Rosnani Ginting
Jurnal Sistem Teknik Industri Vol. 28 No. 2 (2026): JSTI Volume 28 Number 2 April 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i2.25071

Abstract

Industrial competition encourages product development to focus not only on functionality but also on user satisfaction, comfort, and safety. The integration of Kansei Engineering (KE) and Ergonomic Function Deployment (EFD) has attracted significant attention in ergonomic product design research, as it enables the systematic translation of users’ emotional needs into technical specifications. This article presents a literature review study that examines the application and integration of KE and EFD methods in ergonomic product design. The review is based on an analysis of national and international scientific journals addressing ergonomics, Kansei Engineering, and Ergonomic Function Deployment. The results indicate that the integration of KE and EFD effectively improves user comfort, safety, and satisfaction, while reducing the risk of musculoskeletal disorders and enhancing work productivity. Successful implementation is influenced by accurate identification of user requirements, the use of anthropometric data, ergonomic assessment tools, and close collaboration between designers and users. Furthermore, several studies highlight the importance of sustainable design by considering efficiency, occupational health, and product competitiveness. Overall, this review provides a comprehensive understanding of the potential and benefits of integrating Kansei Engineering and Ergonomic Function Deployment in ergonomic product design and offers a foundation for further research and practical implementation across various industrial sectors.
User-Centered Redesign of Dental Cheek Retractor Using Quality Function Deployment Owen Sebastian; Rosnani Ginting; Aulia Ishak
Jurnal Sistem Teknik Industri Vol. 28 No. 2 (2026): JSTI Volume 28 Number 2 April 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i2.25288

Abstract

This study aims to redesign the cheek retractor to enhance patient comfort and clinical efficiency, reducing soft-tissue trauma caused by poor fitting and material rigidity in conventional devices. A two-phase Quality Function Deployment (QFD) approach was applied involving ten dentists to identify user needs. Phase I (House of Quality) translated these needs into technical characteristics, while Phase II mapped the prioritized characteristics to critical components for design improvement. The results showed that QFD Phase I prioritized technical specifications such as product weight and mechanical strength, whereas Phase II prioritized the structural material and the width adjustment mechanism. The improved design utilizes durable PC/ABS material capable of repeated sterilization, effectively reducing tissue trauma, increasing comfort, and providing adjustable fitting for various oral anatomies. Overall, this study offers an innovative, QFD-based framework that directly links the voice of the dentist to engineering specifications to develop ergonomic and user-centered medical instruments.
Methods and Frameworks in Sustainable Product Design and Development: A Narrative Literature Review Widya Rahmadani Utami; Rosnani Ginting; Ukurta Tarigan
Jurnal Sistem Teknik Industri Vol. 28 No. 2 (2026): JSTI Volume 28 Number 2 April 2026
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v28i2.25290

Abstract

This literature review examines the application of methods such as Life Cycle Assessment (LCA), Design for Environment (DfE), Cradle to Cradle (C2C), Biomimicry, Circular Economy, and Sustainable Material Selection (SMS) in Sustainable Product Design & Development (SPDD). This study aims to synthesize existing research on the benefits, challenges, and integration of methods for environmentally sustainable product design through a narrative literature review of academic sources from 2008 to 2025, including textbooks and journals such as the Journal of Cleaner Production. The findings highlight that these methods collectively reduce environmental impacts by up to 70%, enhance resource efficiency, and foster innovation. However, challenges such as high implementation costs, data scarcity, and scalability issues persist. This review argues that an integrated framework combining LCA, DfE, and Circular Economy effectively mitigates these barriers by streamlining data requirements and optimizing long term cost efficiency through proactive design. Consequently, this integrated approach offers optimal outcomes for sustainable product development while supporting global regulations. Future research should prioritize empirical studies and interdisciplinary collaboration to further bridge the gap between theoretical frameworks and practical application.

Page 23 of 23 | Total Record : 228

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