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INDONESIA
JURNAL TEKNIK INDUSTRI
Published by Universitas Trisakti
ISSN : 14116340     EISSN : 26225131     DOI : https://doi.org/10.25105/jti
Core Subject : Science, Engineering,
Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering
Jurnal Teknik Industri (JTI) mainly focuses on industrial engineering scientific essays in the form of research results, surveys and literature review that are closely related to the Field of Industrial Engineering
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 4 Documents
 1 
Search results for , issue "Vol. 16 No. 1 (2026): March 2026" : 4 Documents clear
Life Cycle Assessment to Improve the Sustainability of Cylinder Head Component Production Process at PT XYZ Yanti, Anti Novi Yanti; Kurniawan, Wawan Kurniawan; Marie, Iveline Anne Marie
JURNAL TEKNIK INDUSTRI Vol. 16 No. 1 (2026): March 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v16i1.21091

Abstract

The automotive industry is a significant contributor to environmental concerns. The automotive industry is also under increasing pressure to move towards sustainability due to its role in generating emissions and high energy consumption. As a result, it has an impact on environmental aspects such as air pollution, water pollution or other pollution obtained from industrial activities, which can be minimized so that it cannot become an environmental burden. To help analyze the environmental impact of the cylinder head manufacturing process, a Life Cycle Assessment is required. To support the company's sustainability, a sustainable index value is calculated based on three pillars: economic, environmental, and social. This research focuses on the casting, machining and assy engine processes. The primary objective is to identify the processes with the most significant environmental impact, thereby calculating the company's sustainable index value. This research employs the Life Cycle Assessment method, utilizing SimaPro software, to calculate the impact of the production process and determine the sustainable index (SI) based on the acquired impact value. The method used is EDIP 2003, with the impact categories analyzed, namely Human Toxicity Water, Aquatic Eutrophication EP, Adification, Ecotoxicity water. Based on the results obtained, the most significant impact among the four other impacts is Aquatic Euthropication with the most significant contribution to eletricity with a total value of 0.38938 GPt in the engine assy process. Based on the results obtained, alternative improvements can be suggested, such as the use of solar energy (solar panel system) and the utilization of carbon capture and storage technology, as well as other proposed improvement scenarios. With the implementation of the proposed scenario, the overall sustainable index value increases to 53.81% from 57.47% previously.
Design and Development For Stock Locator: A Case Study of FMCG Companies Herdiana, Mochamad Rafi Herdiana; Dewi, Yulida Intan Dewi; Hernadewita, Hernadewita
JURNAL TEKNIK INDUSTRI Vol. 16 No. 1 (2026): March 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v16i1.22827

Abstract

Inventory management in a finished goods warehouse often faces the challenge of quickly and accurately locating goods, which impacts operational efficiency and reduces inventory picking errors. This research aims to design a stock locator application that facilitates the real-time finding and monitoring of goods in finished goods warehouses. The methods used include user needs analysis, intuitive user interface-based system design, and web-based application development to ensure broad accessibility. In addition, the app implements an efficient location search algorithm to speed up stock searches. The application design significantly optimizes warehouse operations by replacing manual searching with precise digital navigation and route optimization, drastically reducing retrieval time. Accuracy is guaranteed through mandatory barcode validation and real-time inventory syncing, ensuring the physical stock always matches the digital record. Furthermore, it mitigates human error by eliminating manual data entry and enforcing strict, system-guided workflows that prevent incorrect picks before they occur. The application design uses a Use Case Diagram to map actors with an interest in inventory management and to define the technical design based on the functionality of the inventory management application. The design aims to avoid existing costs, such as Container Accommodation Costs or Shipping Delays. Before the implementation of this application, the total findings for 1 semester were 10 findings of existing shipping closing, after which 0 findings of existing shipping closing—the previous loss of Rp. 10,000,000 became Rp. 0. These findings make an important contribution to the application of information technology in warehouse management and open up opportunities to increase productivity through the digitization of storage and inventory sourcing processes.
Human Error Mitigation in The Process of Installing Plastic Body Parts of Electric Motorcycle Products Using The Sherpa and Heart Methods Setyaji, Bagas Athallah Setyaji; Septiani, Winnie Septiani; Safitri, Dian Mardi Safitri
JURNAL TEKNIK INDUSTRI Vol. 16 No. 1 (2026): March 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v16i1.23897

Abstract

The problem identified in the plastic body installation process of GESITS electric motorcycles is human error committed by operators. These errors include improper installation of parts that create gaps between components, failure to install nuts, bolts, and couplers, and failure to return tools after use. This study aims to reduce the potential for human error by applying the Systematic Human Error Reduction and Prediction (SHERPA) and Human Error Assessment and Reduction Technique (HEART) methods to identify errors and determine appropriate mitigation strategies. Direct observations were conducted on eight operators across four workstations. Interviews with Quality Assurance (QA) and Quality Control (QC) personnel were also conducted to obtain relevant information on product quality issues. The analysis shows that the highest potential error occurs when operators fail to return tools after use, which may result in product scratches or pose safety risks to operators. The second-highest potential error involves improper installation of parts in accordance with standards. Based on the findings, proposed improvements include conducting training and performance evaluations for production personnel, developing QC running check sheets to ensure product quality during assembly, and installing safety and SOP reminder signs to emphasize the importance of returning tools after use.
Adaptive Occupational Safety Mechanism for Autonomous Material Handling: A Zone-Based Dynamic Risk Assessment Approach Fathin, Muhammad Alif Fathin; Azhima , Silmi Ath Thahirah Al Azhima; Arief Suryadi Satyawan; Haritman, Erik Haritman
JURNAL TEKNIK INDUSTRI Vol. 16 No. 1 (2026): March 2026
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v16i1.24922

Abstract

The integration of Autonomous Guided Vehicles (AGVs) into shared industrial workspaces requires robust safety mechanisms to mitigate collision risks without compromising operational efficiency. Conventional binary safety systems often trigger abrupt emergency stops, leading to mechanical wear and production bottlenecks. This study aims to develop an adaptive decision-making framework for AGV safety based on real-time spatial risk assessment. The proposed approach uses a 3D LiDAR sensor to map unstructured environments and employs the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to identify dynamic obstacles. A multi-tiered risk zone logic—comprising Danger, Caution, and Ready zones—is implemented to regulate braking responses compliant with ISO 12100 standards autonomously. Experimental validation was conducted through static, linear, and complex non-linear trajectory scenarios. Results indicate that the system successfully eliminates environmental noise and maintains continuous object tracking during erratic movements, triggering gradual deceleration rather than abrupt halts in non-critical situations. This research contributes a scalable safety protocol that enhances Occupational Health and Safety (OHS) compliance while maintaining smoother intralogistics flow on the production floor.

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