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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 386 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): Juni 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): Juni 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): Juni 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): Juni 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): Juni 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): Juni 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 

Page 39 of 39 | Total Record : 386

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