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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 385 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.

Page 39 of 39 | Total Record : 385

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