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Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri
Published by Universitas Islam Negeri Sultan Syarif Kasim Riau
ISSN : 2460898X     EISSN : 27146235     DOI : http://dx.doi.org/10.24014/jti
Core Subject : Science, Social, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering
(ISSN : 2460-898X) JTI merupakan jurnal akademik yang dipublikasikan 2 kali setahun, meliputi bulan Juni dan Desember. Tujuan jurnal ini menyediakan tulisan yang memiliki yang fokus pada bidang Teknik Industri. lebih lanjut jurnal ini dipulikasikan oleh Jurusan Teknik Industri Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan syarif Kasim Riau. Tulisan yang diterima merupakan hasil originalitas dan memberikan kontribusi yang belum pernah dipublikasikan sebelumnya.
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 393 Documents
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A Lightweight Machine Vision Pipeline for Screen-Printing Defect Detection in MSMEs Using Low-Cost Image Acquisition Galih Mahardika Munandar; Tiyan Fatkhurrohman; Lazuardi Fatahilah Hamdi
JTI: Jurnal Teknik Industri Vol 12 No 1 (2026): June 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39516

Abstract

This study addresses the need for affordable visual inspection support in micro, small, and medium enterprises (MSMEs) engaged in screen-printing production. Although machine vision and deep learning have been widely applied in manufacturing quality control, many existing systems are designed for relatively controlled industrial settings and require stable cameras, lighting, computing resources, and technical expertise. This condition limits direct adoption by small MSMEs, where image acquisition is often performed with operator-level devices under variable lighting and background conditions. This study designed and evaluated an initial low-resource visual inspection pipeline consisting of low-cost image acquisition, five-class defect labeling, MobileNetV3-based transfer learning, performance evaluation, and TensorFlow Lite conversion. The dataset consisted of 160 screen-printing images grouped into five classes: good, misalignment, bleeding, pinholes, and ghosting. The preliminary evaluation yielded 24.38% multiclass accuracy and a loss of 2.5635, indicating that the model could not yet reliably distinguish detailed defect categories. The converted TensorFlow Lite model was 5.43 MB, indicating that the technical conversion path was feasible. A binary quality-control interpretation produced 75.63% accuracy, but 27 defective images were still predicted as pass QC. Therefore, the pipeline cannot be treated as a final quality-control decision system. The main contribution of this study is empirical evidence that image-acquisition quality, dataset sufficiency, class separability, and training configuration are critical bottlenecks in developing lightweight deep-learning-based inspection for low-resource MSME environments.
Hazard And Risk Control Analysis Using Failure Mode Effect Analysis and Event Tree Analysis Methods (Case Study: PT Indo Transport Abdimas) Bagus Febriyana; Buang Turasno; Faris Humami; Ethys Pranoto
JTI: Jurnal Teknik Industri Vol 12 No 1 (2026): June 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39526

Abstract

Work accidents in the bus transportation sector remain a critical challenge requiring systematic and data-driven intervention. PT Indo Transport Abdimas recorded 67 traffic accidents and 13 occupational incidents between March 2022 and October 2025, reflecting a broader trend of increasing workplace risks. This study aims to identify hazards, determine risk priorities, and formulate Occupational Health and Safety (K3) control recommendations for office and workshop areas. An integrated approach combining Failure Mode and Effect Analysis (FMEA) and Event Tree Analysis (ETA) was applied. Data were collected through observation, work environment measurements, occupational health examinations, interviews, and probability questionnaires. Across 16 work divisions in four operational areas, 20 failure modes were identified and evaluated using a modified FMEA framework that integrates environmental and health data into Severity (S), Occurrence (O), and Detection (D) parameters. The Risk Priority Number (RPN) results show that the Finished Goods Warehouse division, characterized by unergonomic posture, has the highest risk (RPN 201.20), followed by vehicle security (RPN 199.89) and falling hazards (RPN 146.22). ETA modeling indicates that applying five control layers increases safe condition probability to 91.98%, compared to a 9.300 × 10⁻³ probability of severe accidents without intervention. This study contributes a quantitative multi-source FMEA methodology that reduces reliance on subjective judgment and demonstrates how FMEA outputs inform ETA scenario design. Recommended controls follow ISO 45001:2018 hierarchy, including ergonomic improvements, elimination of manual lifting, installation of wheel chocks, and safety training. Keywords: Failure Mode and Effect Analysis, Event Tree Analysis, Occupational Safety and Health, Risk Priority Number, Bus Transportation
Transforming Environmental Knowledge into Green Purchase Intention Among University Students in Yogyakarta Andreas Mahendro Mahendro Kuncoro; Nurhadistya Alyfakhry Deamahdyka Rayhananda Sabandi; Eric Ohara; Melvin Rahma Sayuga Subroto
JTI: Jurnal Teknik Industri Vol 12 No 1 (2026): June 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39663

Abstract

This research aims to examine how environmental knowledge is transformed into green purchase intention among university students in Yogyakarta, Indonesia. Although previous green product studies have examined environmental knowledge, awareness, eco-innovation, and green product perception as determinants of purchase intention, the sequential mechanism through which knowledge becomes intention remains underexplored. University students are relevant because they are exposed to environmental knowledge through higher education, campus activities, digital media, and sustainability discourse. This issue is important in Yogyakarta, where a strong higher-education ecosystem coexists with persistent waste-management problems. This study proposes a sequential knowledge-transformation model linking environmental knowledge, environmental awareness, perceived eco-innovation, perceived green product, attitude toward green products, and green purchase intention. A student-based subset of a previous green product survey dataset involving 187 university students was analyzed using PLS-SEM and IPMA. The results show that all direct relationships are positive and significant. Attitude toward green products has the strongest effect on green purchase intention, while perceived eco-innovation strongly influences perceived green product. The sequential indirect effect from environmental knowledge to green purchase intention is supported. IPMA shows that attitude has the highest importance, whereas environmental knowledge has the lowest performance. These findings suggest that universities and green product stakeholders should strengthen practical environmental literacy and credible green product communication. Keywords: environmental knowledge; green purchase intention; perceived green product; university students; PLS-SEM-IPMA
Implementation of Zero Food Waste in the Buffet Restaurant Service (Case Study: Sheraton Grand Jakarta Hotel) Nabila Hasna; Lilis Sulandari; Ila Huda Puspita Dewi; Mafisa Restami
JTI: Jurnal Teknik Industri Vol 12 No 1 (2026): June 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39625

Abstract

This study is motivated by the growing issue of food waste in the hospitality industry, particularly in buffet services, which are characterized by large-scale food production. It aims to analyze the factors causing food waste and to implement the zero food waste concept in buffet restaurant services at Sheraton Grand Jakarta Hotels. The research method is a descriptive qualitative approach, employing observation, interviews, and documentation. The informants in this study include the Chef de Cuisine, Chef de Partie Hot Kitchen, and Chef de Partie Pastry Bakery. The results show that food waste is influenced by operational factors, inventory system factors, and hotel quality standards and regulations. Zero food waste is implemented through the stages of planning and production, serving, monitoring, and reuse and redistribution. The efforts include using occupancy data, implementing batch cooking, controlling serving container size, a gradual refill system, recording waste logs, and collaborating with external organizations to redistribute surplus food that is still suitable for consumption. In conclusion, the implementation of zero food waste has been carried out systematically and in an integrated manner.  Keywords: Zero Food Waste, Buffet Service, Sheraton Grand Jakarta Hotels
Occupational and Operational Risk Assessment in Trans Jogja Public Transportation Using HIRADC and FTA Adhe Yuliawan; Rifano Rifano; Dwi Wahyu Hidayat; Mokhammad Rifqi Tsani
JTI: Jurnal Teknik Industri Vol 12 No 1 (2026): June 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39669

Abstract

Urban public transportation operations are exposed to a range of operational, technical, and human-factor risks that may lead to traffic accidents, occupational injuries, and service disruptions. However, previous transportation safety studies have rarely integrated workshop hazards, operational routes, and driver-related risks within a unified risk-management framework. Therefore, this study aims to develop an integrated operational risk-control framework for urban public transportation systems using the Hazard Identification, Risk Assessment, and Determining Control (HIRADC) and Fault Tree Analysis (FTA) methods. This study employed a mixed-method descriptive approach involving workshop activities, operational routes, and driver-related operational factors in Trans Jogja operations. Data were collected through observations, interviews, and questionnaires involving mechanics and drivers. The HIRADC analysis identified several high-risk activities related to workshop operations, traffic conditions, and driver performance, particularly welding activities, manual handling, congested intersections, aggressive road-user behavior, and driver fatigue. Furthermore, the FTA results revealed that accident risks were influenced by interactions among human, managerial, technical, and environmental factors. Recommended control measures include stricter implementation of standard operating procedures, defensive driving training, ergonomic improvements, optimization of driver work-rest schedules, and traffic engineering improvements. The findings demonstrate that safety risks in urban public transportation systems are multidimensional and interconnected across operational domains. This study contributes by integrating HIRADC-based risk assessment with FTA-based root cause analysis to support comprehensive transportation safety risk management. Keywords: HIRADC, FTA, Risk Control, Trans Jogja, Transportation Safety. 
Workspace Color and Repetitive Assembly Performance: A Quasi-Experimental Study of a Simple Product Task Muhammad Nur Wahyu Hidayah; Galih Mahardika Munandar; Barkah Waladani; Imam Samsul Ma'arif
JTI: Jurnal Teknik Industri Vol 12 No 1 (2026): June 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39637

Abstract

This study examined whether wall color conditions were associated with differences in repetitive assembly performance during a controlled simulated task. A quasi-experimental between-subjects design was applied involving 116 student participants aged 18–22 years. Participants were allocated through stratified randomization based on age and sex into four identical rooms with matte-painted red, white, blue, or green walls, with 29 participants in each condition, consisting of 15 male and 14 female participants. Environmental and procedural factors, including lighting at 550 lux, temperature at 24 °C, ambient noise at 75 dBA, equipment, instructions, task model, and 30-minute session duration, were standardized. All groups were tested concurrently to minimize temporal variation. After an initial practice opportunity, participants completed the same 10-component toy truck assembly task. Performance was assessed using completion time, accuracy, and productivity. Because the data did not fully satisfy parametric assumptions, Kruskal-Wallis tests were used, followed by Holm-adjusted Mann-Whitney comparisons. The results showed significant differences across wall color conditions for completion time, accuracy, and productivity. Green produced the strongest observed performance profile, with a mean completion time of 3.38 minutes, accuracy of 92.24%, and productivity of 6.30 correct assemblies per minute, followed by blue. These findings suggest that wall color may function as a supplementary environmental ergonomics factor in repetitive manual assembly settings. However, the results should be interpreted as evidence for controlled pilot evaluation rather than as a definitive industrial color standard. Keywords: Workspace Color; Environmental Ergonomics; Repetitive Assembly; Productivity; Accuracy 
Comparative Supply Chain Risk Management in ASEAN and European Manufacturing: A Structured Literature Analysis Kimberly Febrina kodrat; Hasan Sitorus
JTI: Jurnal Teknik Industri Vol 12 No 1 (2026): June 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39570

Abstract

Supply chain risk management (SCRM) has become a critical strategic imperative in the post-pandemic and geopolitically turbulent era, yet systematic comparative evidence across ASEAN and European manufacturing contexts remains scarce. This paper employs a Structured Literature Analysis (SLA) of 50 peer-reviewed studies published between 2008 and 2025 to comparatively examine SCRM frameworks, risk typologies, mitigation strategies, digital transformation trajectories, and sustainability integration across the two regions. To the best of the authors’ knowledge, this is the first study to apply a thematic cross-regional comparison framework specifically to ASEAN European manufacturing SCRM divergence, addressing a gap left by predominantly single-region studies. Key findings reveal that both regions face structurally similar risk categories geopolitical disruption, demand volatility, natural disasters, and supplier concentration but adopt divergent strategic responses: ASEAN systems prioritize network-based resilience and regional value chain integration, while European manufacturers increasingly pursue strategic autonomy and regulatory-driven resilience. Digital transformation and sustainability serve as important resilience enablers across both contexts, though their implementation depth and regulatory drivers differ substantially. Theoretical contributions include a Cross-Regional SCRM Divergence Model (CR-SCRM) and a risk-resilience-sustainability integration framework with implications for policymakers and operations managers. Keywords: Supply Chain Risk Management; ASEAN; European Manufacturing; Resilience; Digital Transformation; Sustainability; Geopolitical Risk; Comparative Analysis
Measurement System Analysis for Drum Packaging Inspection Using Gage Repeatability and Reproducibility Edi Supriyadi; Rully Nurdewanti; Agus Syahabuddin
JTI: Jurnal Teknik Industri Vol 12 No 1 (2026): June 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i1.39647

Abstract

Drum packaging quality is essential to prevent leakage, contamination, product damage, and distribution safety problems in paint and resin manufacturing. This study aims to evaluate the capability of the measurement system used in drum packaging inspection using Gage Repeatability and Reproducibility. The inspection output was treated as variable data, represented by the defect proportion obtained from drum packaging inspection results. Data were collected from 20 shipment inspections involving four operators and two repeated measurements. The analysis evaluated repeatability, reproducibility, total measurement system variation, and the Precision-to-Tolerance ratio. The results showed that repeatability variation was 0.016, while reproducibility variation was 0.001, indicating that within-operator variation was higher than between-operator variation. The combined measurement system variance was 0.000272, with a corresponding standard deviation of approximately 0.016. The P/T ratio was 0.0048, which is below the commonly accepted threshold of 0.10 for an acceptable measurement system. These findings indicate that the drum packaging inspection system is reliable and capable of producing consistent inspection results. Practically, the results support the use of standardized inspection procedures to maintain operator consistency and improve packaging quality control. Keywords: Measurement System Analysis, Gage R&R, Drum Packaging, Inspection System, Repeatability, Reproducibility 
Reducing No Booting Defects in IC SoC Functional Testing Using Six Sigma DMAIC: Evidence from PCBA Digital Test Stations Novian Hadinata; Mokh Suef
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/e7sn0n75

Abstract

The No Booting defect blocks functional verification of Integrated Circuit System on Chip (IC SoC) components during Printed Circuit Board Assembly (PCBA) testing. This study applies Six Sigma with the Define, Measure, Analyze, Improve, and Control (DMAIC) framework to reduce No Booting defects at the Digital Rights Management (DRM) and Digital Function Test (DFT) stations of PT XYZ, a television and monitor manufacturer. A Pareto analysis of the baseline data showed that No Booting accounted for 82.51% of all IC SoC defects, making it the dominant quality problem at these two stations. Root-cause analysis, combining a 6M fishbone diagram with Failure Mode and Effects Analysis (FMEA), ranked a thermal gap between the thermal pad and the heatsink on the test fixture as the leading risk (RPN = 720), ahead of any actual defect in the IC SoC itself. Direct temperature measurement confirmed that the fixture was overheating the component during testing, producing a false NG (Not Good) result rather than a true component failure. Correcting the thermal gap cut the defect rate by 83.40% and raised the process sigma level from 4.22 to 4.77, a statistically significant improvement. The case shows that a defect first classified as an IC SoC failure was, in this instance, caused by the test system rather than the component, and the corrective action was directed at the fixture rather than at replacing the chip.
A Data-Driven Game Theory Approach for Optimizing Sales Strategies in Food SMEs M. Imron Mas'ud; Misbach Munir; Matheus Nugroho; Nuriyanto
JTI: Jurnal Teknik Industri Vol 12 No 2 (2026): December 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v12i2.39545

Abstract

This study aims to develop an optimal sales strategy for food SMEs by applying a data-driven game theory approach while examining its managerial implications for productivity improvement. Productivity is interpreted as improved business performance through more effective resource allocation and increased sales efficiency rather than as a direct operational productivity measure. The research employs a quantitative approach integrating descriptive analysis, validity and reliability testing using SPSS, and game theory modeling solved with POM-QM. Primary data were collected through structured questionnaires from 33 customers of a food service SME, evaluating attributes including price, taste, portion, presentation, and promotion. The novelty of this study lies in integrating empirical customer perception data into game-theoretic payoff matrices to support strategic decision-making in SMEs. Unlike previous studies relying on descriptive, AHP, or regression-based approaches, this research demonstrates a transparent and practical data-driven game theory framework for sales strategy optimization. The results show a saddle point with a game value of 1, indicating a pure strategy equilibrium. Promotion emerges as the dominant strategy for both competing menu products, with a probability of 1, suggesting that intensive promotional efforts provide the most stable and optimal outcome. These findings indicate that while price and taste remain important, promotion is the key strategic lever for improving sales performance and productivity. The study contributes to the literature by demonstrating the practical application of data-driven game theory to support SME decision-making and enhance marketing efficiency, competitiveness, and business productivity.

Page 39 of 40 | Total Record : 393

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