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INDONESIA
Jurnal Teknik Industri
Published by Universitas Muhammadiyah Malang
ISSN : 19781431     EISSN : 25274112     DOI : -
Core Subject : Economy, Science, Engineering,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering
Dr. Saiful Anwar Malang is a state hospital has done it is job and function, but in 3rd class of pavilion room, the number of patient decrease dramatically. It is concerned with quality of this hospital. To answer this problem, research was done using Quality Function Deployment (QFD). Quality Function Deployment is a tool which design some needs include customers represented as a voice of customer and including some competitions and also groups some activities that usually called affinity graphic ang getting a benchmarking for it is competition. From the result analysis can be showed that main attribute for patience is a accuracy. And from House Of Quality can be found that getting a periodic meeting to evaluate this hospital and also increase a service can be made 20 concept
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Strategi dan Menejemen
Articles 728 Documents
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E-Procurement Adoption in the Oil and Gas Industry: A Systematic Review Integrating TAM, UTAUT, and IS Success Models Aufa Laelani Anjali; Hilya Mudrika Arini
Jurnal Teknik Industri Vol. 27 No. 1 (2026): February
Publisher : Department of Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol27.No1.47-62

Abstract

The adoption of e-procurement systems in the upstream oil and gas industry remains challenging due to operational complexity, stringent regulatory requirements, and high technological demands. This study investigates the success factors that influence adoption and effectiveness by integrating three theoretical perspectives: the Technology Acceptance Model (TAM), the Unified Theory of Acceptance and Use of Technology (UTAUT), and the DeLone & McLean Information Systems Success Model. A systematic literature review of 62 peer-reviewed articles was conducted to synthesize evidence from user, system, and organizational levels. The results indicate that user acceptance constructs such as perceived usefulness, ease of use, and trust must be complemented by system quality, information accuracy, and user satisfaction, alongside organizational support factors including leadership commitment, infrastructure readiness, and facilitating conditions. Findings demonstrate that fragmented approaches focusing solely on user behavior or system performance are insufficient in the oil and gas sector, where organizational and technical environments critically shape adoption. To address this gap, the study proposes an integrated conceptual framework linking user, system, and organizational dimensions. The framework provides actionable insights for procurement professionals, system developers, and policymakers to enhance digital procurement performance in complex, high-risk contexts.
Game-Theoretic Coordination in a Three-Echelon Vendor Managed Inventory System: A Comparison of Vertical Nash and Stackelberg Games Using the Grey Wolf Optimizer Fakhrina Fahma Abdullah; Erwin Widodo; Sri Kurnia Dwi Budi Maulana
Jurnal Teknik Industri Vol. 27 No. 1 (2026): February
Publisher : Department of Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol27.No1.63-82

Abstract

This research developed a Vendor Managed Inventory (VMI) model for a three-echelon supply chain consisting of multiple suppliers, one manufacturer, and multiple buyers. The study aimed to optimize total system profit under deterministic demand and industrial constraints. Strategic interactions among actors were modeled using Vertical Nash and Stackelberg game frameworks, and the resulting nonlinear optimization problem was solved using the grey wolf optimizer algorithm. The results indicated that the Vertical Nash game produced higher total profit than the Stackelberg game. Profit distribution reached 6.78% for suppliers, 39.60% for the manufacturer, and 53.62% for buyers under the Vertical Nash game, while the Stackelberg game produced shares of 11.50%, 24.37%, and 64.14%, respectively. These findings demonstrated that decision structure significantly affected system performance and profit allocation in integrated supply chains.
Enhancing Tofu Packaging Design with Kansei Engineering: A Study on Consumer-Driven Attributes Stephanus Liwun; Nastiti Indrasti; Suprihatin Suprihatin; Shelly Dewanti; Noval Ramadhan
Jurnal Teknik Industri Vol. 27 No. 2 (2026): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol27.No2.103-116

Abstract

Traditional tofu packaging does not keep fresh and has poor structural integrity throughout transportation, which affects the perspective of the consumer. In this work, Kansei Engineering is applied to build emotional, functional, and sustainable packaging for small-scale tofu producers. Data were acquired from 100 respondents using semantic differential questionnaires through non-probability purposive sampling approach. The initial pool of 40 Kansei terms was reduced to 18 main features using frequency analysis. The 18 attributes were grouped into five key dimensions: attractiveness, packaging standards, durability, informativeness and environmental friendliness. The conjoint analysis and normalised unity value calculation indicated that the High-Density Polyethylene (HDPE) packaging (Sample 4) scored the highest across all the Kansei dimensions, especially with respect to resilience (4.97) and environmental friendliness (4.96). The originality of this study is in integrating abstract consumer emotional reactions with tangible sustainable material selection successfully filling a crucial gap in perishable food packaging literature. The results offer a data-driven framework for Micro, Small and Medium Enterprises (MSMEs) to improve product value, market competitiveness and sustainability.
Safety Sign Ergonomic Risk in Industrial Area Offices Validation using Artificial Intelligence (AI) based on Electroencephalography (EEG) Signals Zulfahmi Noor; Muhammad Noor Arridho; Fauziah
Jurnal Teknik Industri Vol. 27 No. 2 (2026): August
Publisher : Department of Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol27.No2.117-132

Abstract

Ergonomic hazards are one of the occupational hazards that are not yet supported by validated and widely used safety signs, so that workers' understanding of these risks is still relatively low. This study aims to identify the needs, design, and validate ergonomic risk safety signs in the office area of ​​PT Berau Coal. The study was conducted through observation, interviews, identification of user needs, design of 14 safety signs consisting of 6 warning signs and 8 command signs, and testing the level of understanding of 8 respondents. Validation was carried out using two approaches, namely direct statements and synchronized through Electroencephalography (EEG) signal analysis classified using the Support Vector Machine algorithm. The results showed a level of understanding of 97% based on direct questions and 92.35% based on EEG analysis. The difference in results indicates that EEG-based evaluation provides a more objective assessment of workers' cognitive responses compared to subjective assessments through direct answers. These findings indicate that the developed safety signs have a high level of understanding and have the potential to be an objective approach in evaluating ergonomic safety signs in the work environment.
A Before-and-After Evaluation of Lean Interventions and Environmental Impacts Using Life Cycle Assessment in a Coal-Fired Power Plant Maftukhin Maftukhin; Rita Ambarwati
Jurnal Teknik Industri Vol. 27 No. 2 (2026): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol27.No2.83-102

Abstract

Coal-fired power plants face increasing pressure to improve efficiency while reducing environmental impacts. This study evaluates the integration of Lean Thinking and Life Cycle Assessment (LCA) to optimize operational and environmental performance in a 25 MW coal-fired power plant in Indonesia. A quantitative case study comparing conditions before and after implementation was conducted using operational data from 2021 to 2024. Lean interventions included variable frequency drive (VFD) installation and combustion optimization. Environmental impacts were assessed using OpenLCA with the TRACI 2.1 method, considering system boundaries from coal handling to electricity generation (functional unit: 1 kWh). Results show that auxiliary power consumption decreased from 14.75% to 11.75%, boiler efficiency increased by 3.75%, and coal consumption per kWh decreased by 3.48%, resulting in a 10.12% reduction in Global Warming Potential. However, acidification and particulate impacts slightly increased, indicating trade-offs. This study provides empirical evidence of an integrated Lean-LCA approach to simultaneously evaluate efficiency and environmental performance.
Green Suppliers Evaluation Using Fuzzy AHP & Fuzzy CODAS Thomy Eko Saputro; Hasna Nabila Rahma; Rahmad Wisnu Wardana
Jurnal Teknik Industri Vol. 27 No. 2 (2026): August
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol27.No2.159-174

Abstract

Supplier management of raw materials presents significant challenges that can disrupt operational performance. Key issues include discrepancies between ordered and delivered quantities, resulting in payment delays; substandard material quality such as excessively thin lacoste fabric leading to product rejection; and delivery delays exceeding three days. In addition, inadequate environmental responsibility among suppliers, particularly in industrial waste management, contradicts the company’s strategic commitment to sustainable and environmentally friendly production. This study aims to evaluate and select green suppliers by integrating fuzzy Analytical Hierarchy Process (Fuzzy AHP) and fuzzy Combinative Distance-Based Assessment (Fuzzy CODAS) methods. The evaluation framework incorporates multiple criteria, including quality, cost, delivery performance, technological capability, financial performance, cooperation ability, and environmental competency. The findings demonstrate that the proposed fuzzy-based multi-criteria decision-making approach provides a more robust, objective, and systematic evaluation of suppliers. The model effectively supports the selection of suppliers that align with sustainability objectives and promotes improved environmental responsibility within the supply chain.
Evaluation of Sustainable Design Concepts for Mobile Hybrid Rice Dryers Using Fuzzy AHP–TOPSIS Rahmad Wisnu Wardana; Dana Marsetiya Utama
Jurnal Teknik Industri Vol. 27 No. 2 (2026): August
Publisher : Department of Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/JTIUMM.Vol27.No2.133-158

Abstract

The development of mobile grain dryers requires selecting a design concept that balances economic, environmental, and social performance. However, previous research has not extensively integrated these three dimensions of sustainability into the evaluation of mobile grain dryer concepts. This study aims to select the most sustainable hybrid mobile grain dryer concept through a fuzzy-based multi-criteria decision-making approach. The evaluation was conducted on three concepts: a vertical dryer, a trough dryer, and a rotary dryer. Fifteen criteria were formulated based on economic, environmental, and social dimensions. The assessment involved two academics and one paddy production practitioner through a focus group discussion. The Fuzzy Analytical Hierarchy Process was used to determine the criterion weights. In contrast, the Fuzzy Technique for Order Preference by Similarity to Ideal Solution was used to rank the alternatives. The results show that the economic dimension received the highest weight of 0.4490, followed by the environmental dimension at 0.3514 and the social dimension at 0.1996. Operating costs and energy consumption were the most dominant criteria, with a global weight of 0.1307. The trough dryer received the highest similarity coefficient of 0.8191, followed by the vertical dryer at 0.7139 and the rotary dryer at 0.6016. The trough dryer outperformed the others in terms of investment cost, energy efficiency, ease of maintenance, safety, ergonomics, and suitability for user capacity. Sensitivity analysis shows that these rankings remain stable under moderate changes in weightings. The rankings change only when productivity and drying capacity are assigned extreme weightings. These findings provide a measurable evaluation framework to support the development of sustainable grain dryers and design decision-making in the post-harvest sector.
A Python-Based CVRPTW Decision-Support System for Optimizing Examination Paper and Administrative Document Distribution at Universitas Gunadarma Maulida Boru Butar Butar; La Ode Ahmad Muwahhid Hakim; Shalia Nur Hafizah; Fattih Yanuar Ibrahim; Daniel Delbert Ardielry
Jurnal Teknik Industri Vol. 28 No. 1 (2027): February
Publisher : Department of Industrial Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Examination-document distribution is a time-critical institutional logistics problem, yet prior educational applications often examine fixed route instances and separate optimization from configurable decision-support workflows. This study develops a Python-based Capacitated Vehicle Routing Problem with Time Windows (CVRPTW) decision-support system that integrates directed OSRM matrices, Google OR-Tools RoutingModel, scenario parameters, and interactive route visualization. The solver applied PATH_CHEAPEST_ARC followed by GUIDED_LOCAL_SEARCH with a five-second search limit. Every examination site was mandatory, and directed road distance was the sole routing objective. Under the normal scenario, the best-found feasible solution used two vehicles and traveled 28.940 km. The practice-based reconstructed operational baseline, evaluated using the same matrix, traveled 34.686 km, corresponding to a model-based distance difference of 16.57%. When modeled as a single 100-package vehicle route under the study’s standardized assumptions, the reconstructed baseline was infeasible, with a 39-package capacity exceedance, modeled late arrivals at three campuses, and 107 minutes of modeled total lateness. Scenario-based estimated emissions were 6.76 kg for the reconstructed baseline and 5.64 kg for the CVRPTW solution using an assumed factor of 195 g CO₂/km. The tested deterministic scenarios remained feasible under the peak-demand condition of 176 packages, a 30-minute delay in depot-service start, and a traffic multiplier of 2.0. The contribution is a reproducible data-to-decision workflow rather than a new routing algorithm or proof of global optimality.

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