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INDONESIA
OPSI
Published by Universitas Pembangunan Nasional Veteran Yogyakarta
ISSN : 16932102     EISSN : 26862352     DOI : https://doi.org/10.31315/opsi
Core Subject : Engineering,
Industrial & Manufacturing Engineering
Jurnal OPSI adalah Jurnal Optimasi Sistem Industri yang diterbitkan oleh Jurusan Teknik Industri UPN “Veteran” Yogyakarta sebagai wahana publikasi hasil karya ilmiah, penelitian rekayasa teknologi di bidang Teknik Industri, Sistem Industri, Manajemen Industri dan Teknologi Informasi.
Arjuna Subject : -
Articles 296 Documents
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Integrated Weibull-based maintenance optimization and root cause analysis for improving reliability of an electronic production systems Muhammad Ridwan Andi Purnomo; Azmi Hassan
OPSI Vol 19 No 1 (2026): OPSI - June 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v19i1.16678

Abstract

Unexpected equipment failures in electronics manufacturing can disrupt production continuity, increase maintenance costs, and reduce system reliability. Although reliability-centered maintenance approaches have been widely applied, most studies focus on maintenance interval optimization without systematically integrating failure prioritization and root-cause analysis for continuous reliability improvement. This study proposes an integrated framework combining Weibull reliability modeling, age-replacement cost optimization, Pareto analysis, and fishbone root-cause investigation to improve equipment reliability while minimizing maintenance costs. Historical failure data were analyzed to estimate Weibull parameters and determine the optimal preventive maintenance interval, while Pareto and fishbone analyses were used to identify dominant failure modes and their root causes for targeted corrective actions. The framework was implemented in an electronics manufacturing system and the results indicate a wear-out failure pattern with a Weibull shape parameter greater than one. Before improvement, the optimal preventive maintenance interval was approximately 510 operating hours. After implementing corrective actions, equipment reliability increased from 89.05% to 90.40%, the expected maintenance cost rate decreased by 6.14%, and the mean operating interval between failures increased by 1.07%. The proposed framework provides a practical decision-support tool for integrating reliability improvement with maintenance policy optimization, thereby enhancing equipment performance and production continuity in electronics manufacturing systems.
The mediating role of motorcycle riding behavior in the relationship between risky riding intention and safety incidents among housewife motorcyclists in Jabodetabek Freza Dwi Agustiani; Dian Kemala Putri
OPSI Vol 19 No 1 (2026): OPSI - June 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v19i1.16719

Abstract

Motorcycles accounted for 73% of all accidents in 2024, with human mistake causing 95% of these crashes. While the experiences of female riders, particularly suburban housewife motorcyclists, who face severe multitasking demands and time constraints remain largely unexplored, little is known about how dangerous driving intentions convert into driving habits that could lead to safety problems. In order to assess how psychological variables are reflected in driving behavior and how this behavior affects safety incidents, this study utilizes the MRBQ (Motorcycle Rider Behavior Questionnaire) and PLS-SEM (Partial Least Squares Structural Equation Modeling). The findings indicate that all aspects of the MRBQ (speeding, traffic infractions, control errors, and stunts) are directly affected by risky riding intentions. It was discovered that only speed violations had a substantial indirect impact of risky riding intention on safety incidents. Speed violations is a mediator between risky riding intention and safety incidents, even though risk-taking driving intentions affect a variety of driving behaviors. Practical insights into the creation of speed management measures and psychologically grounded road safety interventions that aim to reduce safety-related events among female motorcyclists in Indonesia's urban areas are provided by the findings.
A proposed socio-technical demand–resource equilibrium model for burnout mitigation Prasidananto Nur Santoso; Jaka Nugraha; Hartomo Soewardi
OPSI Vol 19 No 1 (2026): OPSI - June 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v19i1.16738

Abstract

Research on burnout mitigation is expanding rapidly. However, the evidence remains fragmented and is often confined to healthcare or education-specific contexts. To improve transferability across broader work systems, this study conceptualizes burnout mitigation as a socio-technical and ergonomic problem. A structured narrative review combined with exploratory bibliometric analysis was conducted using Scopus-indexed literature. Literature identification and selection adopted PRISMA-informed screening procedures. After screening and eligibility assessment, 13 studies were included in the final review corpus. Bibliometric mapping was performed using VOSviewer (v1.6.20) to explore thematic relationships and keyword co-occurrence patterns. The exploratory bibliometric mapping identified thematic concentrations around individual recovery and resilience, peer and community support, technology-mediated work redesign, and organizational or macroergonomic interventions. The findings indicate a gradual shift from prevalence-oriented burnout research toward mitigation-focused and prevention-oriented approaches. The study proposes the Socio-Technical Demand–Resource Equilibrium Model (SoTDREM) as a conceptual framework for burnout mitigation, advancing macroergonomic theory by positioning burnout mitigation as systemic design optimization rather than individual resilience enhancement. The framework offers a preliminary conceptual structure that can inform future ergonomic assessment and empirical validation of burnout mitigation strategies across sectors.
Proactive quality control in cotton yarn manufacturing using random forest defect forecasting and CTQ analysis Adhie Tri Wahyudi; Mayang Eka Putri Prastiwi; Erni Suparti; Muhammad Rizki
OPSI Vol 19 No 1 (2026): OPSI - June 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v19i1.16757

Abstract

Quality control in cotton yarn manufacturing is affected by the daily variation in the occurrence of defects and the late detection of abnormal events at the packing stage. This study proposes a decision-support workflow that integrates Random Forest regression for daily defect forecasting with Critical-to-Quality (CTQ) analysis to enable proactive quality control in an industrial case. The model is trained and validated with time ordered evaluation using historical production volume and defect counts, and the performance is reported using MAE, RMSE and sMAPE. Results indicate that the model learns to capture routine up-down defect patterns during the training period, but prediction accuracy is degraded on test days with extreme defect spikes. However, despite this limitation, the forecast outputs provide an early warning signal to prioritize inspection and corrective actions on high risk days. The predicted risk levels are then further linked to CTQ mapping to identify dominant defect types and convert model outputs to actionable defect-specific control recommendations. The proposed integration of machine-learning forecasting with shop-floor quality planning enables more timely and targeted quality interventions in cotton yarn packaging operations.
Initiating a used cooking oil collection network: An SCP–TSP approach within the circular economy framework Siti Mahsanah Budijati; Fatma Hermining Astuti; Rafly Raihan Afendi
OPSI Vol 19 No 1 (2026): OPSI - June 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v19i1.16791

Abstract

Used cooking oil (UCO) management is a critical challenge in advancing circular economy practices. While UCO poses environmental risks, it also offers economic potential, yet collection systems remain inefficient. This study introduces a spatially optimized network model focusing on distance efficiency and service coverage. The Set Covering Problem (SCP) was applied to determine optimal collection points, while the Traveling Salesman Problem (TSP) was used to design transportation routes to centralized facilities. Data from 101 food service businesses in Bantul, with 28 willing to serve as candidate sites, were analyzed. SCP results identified 12 optimal points covering all sources within a 5 km radius. TSP application with two alternative centers produced efficient routes: BUMDes Panggung Lestari (95.7 km; IDR 76,560) and DLH Bantul (95.4 km; IDR 76,320). These findings highlight the effectiveness of SCP–TSP integration in reducing costs and expanding coverage. The novelty lies in combining SCP and TSP within a single framework using district-level empirical data, bridging national circular economy policy with local implementation. This study provides practical guidance for sustainable UCO collection and supports circular economy strategies through resource recovery, while theoretically enriching discourse by demonstrating how SCP–TSP integration operationalizes resource recovery in quantitative terms.
Integrating cultural dimensions into a cognitive affective model for LMS user satisfaction in Indonesia’s higher education institution Melati Salma; Ari Widyanti; Muhammad Hudzaly Hatala; Eka Pratiwi Briant Pakiding; Ilham Darmawan; Laila Nafisah
OPSI Vol 19 No 1 (2026): OPSI - June 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Industri UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/opsi.v19i1.16832

Abstract

This study investigates how cultural dimensions are integrated into a cognitive-affective model to explain user satisfaction with Learning Management System (LMS) interfaces in Indonesian higher education. Using PLS-SEM with data from 348 university students across Indonesia, the study examined the effects of cognitive factors, affective factors, and cultural dimensions on satisfaction. The results show that Classical Aesthetic significantly influences Efficiency (β = 0.755, t = 29.767, p < 0.05), Expressive Aesthetic (β = 0.752, t = 32.485, p < 0.05), and Satisfaction (β = 0.185, t = 2.559, p = 0.011). Efficiency positively affects Effectiveness (β = 0.744, t = 25.889, p < 0.05) and Satisfaction (β = 0.298, t = 4.667, p < 0.05), while Effectiveness also contributes to Satisfaction (β = 0.273, t = 4.684, p < 0.05). Expressive Aesthetic strongly predicts Playfulness (β = 0.804, t = 37.624, p < 0.05), but Playfulness does not meaningfully affect Satisfaction (β = 0.066, t = 1.364, p = 0.172). Power Distance has a significant positive effect on Satisfaction (β = 0.183, t = 3.306, p = 0.001), whereas Collectivism shows no substantial influence (β = –0.068, t = 1.694, p = 0.09). Overall, the findings suggest that LMS interfaces in Indonesia should prioritize efficient navigation, structured aesthetics, and clear hierarchical organization aligned with high power distance culture, providing practical insights for culturally responsive LMS design.

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