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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 389 Documents
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Determining Mocaf Production Quantity Using Sugeno's Fuzzy Model: Analyzing Slicing Machine Effectiveness and Raw Material Forecasting in SMEs Santosa, Sesar Husen Santosa; Hidayat, Agung Prayudha Hidayat; Siskandar, Ridwan Siskandar
JURNAL TEKNIK INDUSTRI Vol. 15 No. 3 (2025): November 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i3.22211

Abstract

The production of Mocaf flour in small and medium enterprises (SMEs) is influenced by the effectiveness of cassava slicing machines in ensuring the availability of raw materials during the fermentation process. Slicing cassava is often problematic because the tools used are not of good quality, causing the cassava to crumble. This problem requires the identification of the effectiveness of cassava slicing machines in Mocaf flour production. The effectiveness of the cassava slicing machine can be measured using the Overall Equipment Effectiveness (OEE) method, and the values obtained are availability = 91%, Performance = 78%, Quality Yield = 0.99, and OEE = 0.71. The results of the selected forecasting, namely Double Moving Average with n = 2, MAPE = 4,54 %, show that the predicted production of cassava slices is 1428.57 kg. The OEE results and production forecasting then become the basis for developing the Sugeno fuzzy model to determine the amount of mocaf flour production in SMEs. The results of Sugeno fuzzy defuzzification with the OEE membership set production forecasting and triangular membership type showed that the mocaf flour production was 450 kg. Based on the production of mocaf flour of 450 kg, with a yield of 28%, the cassava raw material that must be ordered from the supplier is 1428,57 kg.
A Cyber-Physical and AI-Based Digitalization Framework for Traditional Textile SMEs  Tarigan, Amenda Septiala; Yosephine, Vina Sari; Dewi, Intan Novita Dewi; Mardhiyah, Wendy Febrianty Mardhiyah; Sarinindiyanti, Julin Arum Sarinindiyanti; Putra, Harditriyono Putra
JURNAL TEKNIK INDUSTRI Vol. 15 No. 3 (2025): November 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i3.22880

Abstract

Traditional textile SMEs still rely on manual processes, resulting in inefficiencies in production and data management. This study proposes a cost-conscious digitalization framework that integrates Cyber-Physical Systems (CPS), a lightweight information layer, and artificial intelligence (AI), specifically designed for labour-intensive textile operations. The framework adheres to the ISA-95 architecture, emphasizing affordability and scalability. Stakeholder interviews, business process reengineering, and a three-month field implementation were conducted in a textile hub in Bandung. Key digital tools, including e-kiosks for real-time logging, integrated digital scales for inventory management, and mobile vision-based quality control using convolutional neural networks (Xception and VGG), were evaluated through an immersion study and user acceptance testing. Evaluation results show improvements in workflow visibility, data reliability, and consistency of quality inspection compared to the pre-digitalized process, while maintaining ease of use for operators. Evaluation results indicate qualitative operational improvements—such as enhanced workflow visibility, more reliable data capture, and more consistent quality inspection—reflecting meaningful enhancements observed during the digitalization pilot. The study contributes a replicable CPS–AI model that enables traditional SMEs to enhance efficiency and quality through scalable digital transformation.
Lean Green Manufacturing Model Design to Increase Productivity and Environmental Performance of the Bread Agroindustry Satya , Ririn Regiana Dwi Satya; Norita, Defi Norita; Hernanto, Catur Hernanto; Andary Asvaroza , Andary Asvaroza Munita; Sodikun, Sodikun; Cahyadi, Bambang Cahyadi
JURNAL TEKNIK INDUSTRI Vol. 15 No. 3 (2025): November 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i3.23141

Abstract

PT XYZ is an MSME company engaged in the production of bread in the agroindustry. The company conducts its production process up to 10 cycles per day. The number of breads produced by PT XYZ is seven types of bread. Among the seven types of bread produced, the company encountered numerous obstacles in the production process of chocolate banana-filled bread. Several factors continue to constrain the production process of chocolate banana-filled bread at PT XYZ. Some of these issues are caused by waste generated during the production process. This waste includes defective products, excessive storage, waiting processes, and others. Additionally, the green productivity level of PT XYZ remains relatively low. This is because there are several types of waste, including emissions. The purpose of this study is to streamline the bread production process and increase the company's green productivity index. The methods used to achieve the research objectives are Value Stream Mapping and Green Productivity. The two methods used are a combination that can be done to achieve the research target. Based on the results of observations and data processing conducted, PT XYZ has a bread production process lead time of 819.87 minutes/cycle with a green productivity index of 0.552551473. With the recommendations for improvement provided by the researcher, the company can reduce waste at several points. The results of this study demonstrate that the production process can be reduced by 32.00% and the company's productivity index can increase by 39.47%. PT XYZ can use this series of studies as a reference for considering business continuity in the future. 
Optimizing Water Hyacinth Drying Process Using DMAIC and Taguchi Method to Minimize Defects and Enhance Quality Islahudin, Nur Islahudin; Nur Fazri, Ahmad Nur Fazri
JURNAL TEKNIK INDUSTRI Vol. 15 No. 3 (2025): November 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i3.23216

Abstract

This study aims to identify the causes of defects and design risk control strategies. The DMAIC method (Define, Measure, Analyze, Improve, Control) is employed as a data-driven approach within the Lean Manufacturing concept, aiming to find the optimal combination of settings and minimize defective products to maintain high quality, utilizing the Taguchi Method. The data used in this study are defective product data and water hyacinth drying experimental data at Bengok Craft UMKM in Semarang Regency. Furthermore, the data is processed using several methods, including Pareto diagrams, fishbone diagrams, Taguchi Method, and Analysis of Variance (ANOVA). This experiment tested three drying conditions: 100°C, 120°C, and 140°C, for 2, 3, and 4 hours, respectively. The results showed that the water hyacinth moisture content decreased with increasing temperature, reaching 56.25% at 140°C after a 4-hour drying time at 120°C. Among the tested conditions, 140°C was found to be the optimal temperature, resulting in water hyacinth with superior characteristics.
The Factors Influencing Mental Workload And Body Posture In Musculoskeletal Disorders: A Study On Small-Scale Tempeh Chip Industry  Malasari, Silvina Malasari; Siringoringo, Hotniar Siringoringo
JURNAL TEKNIK INDUSTRI Vol. 15 No. 3 (2025): November 2025
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/jti.v15i3.24162

Abstract

Musculoskeletal disorders (MSDs) frequently occur in repetitive and static work environments, particularly within small-scale food industries. This study examines the relationship between mental workload and body posture in relation to musculoskeletal complaints. It identifies individual and psychosocial factors that influence work activities in small-scale tempeh chip production. The research was conducted on 12 active workers (5 males and seven females) at a home-based tempeh chip processing industry in Depok, West Java. Data were collected using the NASA-TLX to assess mental workload, the REBA method to evaluate body posture, and the Nordic Body Map (NBM) to measure musculoskeletal complaints. Statistical analyses included linear regression, ANOVA, and Pearson correlation to examine the relationships among variables before and after ergonomic interventions. The results revealed a significant relationship between mental workload and musculoskeletal complaints (p < 0.05). At the same time, body posture showed no statistically significant effect (p > 0.05) but demonstrated a strong interaction with mental workload (p < 0.05). Individual and psychosocial factors contributed substantially to mental workload (R² = 86.7%) and body posture (R² = 77.2%). Following ergonomic interventions—comprising a combination of sit–stand work positions, workstation adjustments, micro-breaks, and the reduction of environmental disturbances—musculoskeletal complaints decreased by approximately 60%, and mental workload was reduced to a low category. This study confirms that ergonomic interventions effectively reduce mental workload and the risk of musculoskeletal disorders. The findings provide empirical and policy contributions to the implementation of sustainable ergonomic and periodic posture training in small-scale or MSME industries to enhance worker health, safety, and productivity.
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.

Page 39 of 39 | Total Record : 389

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