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Jurnal Optimasi Sistem Industri
Published by Universitas Andalas
ISSN : 20884842     EISSN : 24428795     DOI : -
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal Optimasi Sistem Industri (JOSI) is a peer-reviewed journal that is published periodically (April and October) by the Department of Industrial Engineering, Faculty of Engineering, Universitas Andalas, Padang.
Arjuna Subject : -
Articles 394 Documents
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Sistem Transportasi Bus Kampus Unand Aro Manis; Siti Tri Susiati Hutami
Jurnal Optimasi Sistem Industri Vol. 9 No. 1 (2010): Published in April 2010
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v9.n1.p13-18.2010

Abstract

Pada umumnya, bus kampus beroperasi untuk mengantarkan mahasiswa ke kampus baik pada jam kerja (kuliah) maupun libur. Bus kampus akan menurunkan mahasiswa/penumpang bus pada tempat yang telah ditentukan, yang diinginkan oleh penumpangnya. Sistem yang dipilih untuk disimulasikan adalah operasi bus kampus yang tidak teratur dan pengantrian mahasiswa terjadi pada saat jam perkuliahan, sehingga terjadi keterlambatan mahasiswa. Data-data yang dikumpulkan adalah waktu kedatangan bus dan mahasiswa serta waktu keberangkatan bus. Simulasi adalah program (software) komputer yang berfungsi untuk menirukan perilaku sistem nyata (realitas) tertentu. Tujuan simulasi antara lain untuk pelatihan (training), studi perilaku sistem (behaviour) dan hiburan/permainan (game). Dengan melakukan verifikasi dan validasi, maka simulasi sistem yang dirancang dapat ditentukan apakah sesuai dengan kondisi nyatanya. Berdasarkan sistem yang ada, maka dilakukan perbaikan dengan melakukan penambahan jumlah bus sehingga antrian mahasiswa dapat diminimasi.
Achieving Quasi-Complete Balance in U-shaped Assembly Lines Using Idle Time Elimination Methodologies Zening Wu; Wenqian Luo
Jurnal Optimasi Sistem Industri Vol. 24 No. 1 (2025): Published in June 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n1.p1-17.2025

Abstract

The problem of balancing the U-shaped production line is a well-known NP-problem in mass production, where the main objective is to allocate tasks efficiently to the workstations while minimising idle time and balancing the workload throughout the production line. The study introduces two new methods to address these issues and increase the efficiency of line balancing: Operators Arrangement for U-shaped line Balancing (OAUB) and Layout Design for U-shaped line Balancing (LDUB). OAUB optimizes the allocation of workers by strategically adjusting the assignment of tasks, ensuring that idle time is minimised and that the use of workers is maximised. By contrast, LDUB alleviates idle time by filling in the gaps between tasks with independent, low-processing tasks from non-critical paths, thus ensuring a more efficient use of available time during the transitions. Implementation of these methods has shown promising results and significantly reduced the idle time of the production processes. Specifically, OAUB achieved a reduction of only 0.9 units of idle time, while LDUB decreased idle time by 3 units. These results are particularly important from a sustainability point of view, as they contribute to reducing waste through better use of resources and increased production efficiency. Unlike traditional approaches, which are mainly focused on minimizing the number of workstations or the reduction of cycle times, our methodology provides a more integrated approach to balancing the workload between workstations. The practical implications of these methods are significant as they are applicable to the real-world production environment and offer effective and efficient solutions to achieve near complete alignment on U-shaped assembly lines, thus improving overall productivity and sustainability in an environment of mass production.
Business Incubators and Technology-Based Startups in Emerging Economies: A Bibliometric Analysis Prima Fithri; Alizar Hasan; Donard Games; Berri Brilliant Albar
Jurnal Optimasi Sistem Industri Vol. 24 No. 1 (2025): Published in June 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n1.p156-173.2025

Abstract

In the context of rapid technological advancement and the global rise of entrepreneurship, business incubators have become essential mechanisms for supporting technology-based startups, particularly in emerging economies. These incubators play a strategic role in bridging resource gaps, fostering innovation, and enhancing the survival and growth of early-stage ventures. Despite their increasing importance, there remains a limited understanding of how incubator performance directly influences startup outcomes. This study addresses that gap through a comprehensive bibliometric analysis of 920 scholarly articles published between 2010 and 2022, sourced from Scopus and Google Scholar. Using VOSviewer, the analysis identifies key research trends, influential publications, and thematic clusters related to incubator performance. The findings reveal a significant increase in research activity over the past decade, with a peak in 2018, and a strong concentration of publications in journals focused on technology transfer and innovation management. Prominent themes include academic entrepreneurship, incubator performance, technology transfer offices, and the role of innovation ecosystems involving academia, industry, and government. These themes highlight the multifaceted nature of incubator success and the importance of cross-sector collaboration. The study also emphasizes the need for integrated evaluation frameworks to enhance incubator effectiveness and guide institutional and policy-level strategies. The novelty of this research lies in its synthesis of bibliometric insights to propose future research directions and methodological improvements for assessing incubator performance. By mapping the intellectual landscape of incubator research, this study contributes to a deeper understanding of how incubators can be optimized to support sustainable startup development and economic growth in emerging markets.
Enhancing Above-Knee Prosthetic Design for Inclusive Workplaces: Ergonomic Considerations in Manual Material Handling Khoirul Muslim; Adinda Shafira; Rifko Rahmat Kurnianto; Sandro Mihardi; Auditya Purwandini Sutarto
Jurnal Optimasi Sistem Industri Vol. 24 No. 1 (2025): Published in June 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n1.p102-120.2025

Abstract

Employment is crucial for economic sustainability and social inclusion, yet individuals with disabilities face significant barriers. Globally, only 44% of disabled individuals are employed compared to 75% of those without disabilities. Manual material handling (MMH) relies heavily on stability and control in demanding industries such as manufacturing and logistics. Such demands create challenges for individuals with above-knee prostheses, as most current designs focus on walking and do not adequately support the postural and load-bearing requirements of MMH tasks. This study aims to evaluate the performance of transfemoral prosthesis designs during MMH, analyzing the effects of container type, load mass, and their interaction on gait efficiency, discomfort, and stability. Eight male unilateral above-knee amputees (24–39 y) carried handled and handle-less boxes loaded from 4 to 10 kg in a randomised within-subject trial. Gait deviation, perceived discomfort, and steadiness were captured with self-report measures. Two-way analysis of variance analyses showed a significant container × load interaction: handle-less 10 kg loads produced the greatest lateral trunk lean toward the prosthetic side, whereas lighter handled loads minimised deviation. Increasing load also elevated discomfort in the back, waist, stump and contralateral arm and reduced perceived stability. Observed lateral lean and impact-related knee extension suggest three priority modifications: (1) add socket adduction within an ischial-containment design to improve femoral stabilisation, (2) increase knee-swing friction to soften terminal impact, and (3) fit dual-keel feet to cushion heel strike. Implementing these changes may reduce gait errors and fatigue, raising safe lifting capacity for transfemoral prosthesis users in MMH task. Nonetheless, the male-only sample may not capture gender-specificgait strategies; future trials should include female participants and a larger cohort to verify generalisability. These preliminary findings still offer insights into improving prosthetic designs to enhance safety, functionality, and inclusion in industrial MMH tasks.
A Framework for Sustainable Supplier Selection Integrating Grey Forecasting and F-MCDM Methods: A Case Study Enty Nur Hayati; Wakhid Ahmad Jauhari; Retno Wulan Damayanti; Cucuk Nur Rosyidi; Muhammad Hafidz Fazli Bin Md Fauadi
Jurnal Optimasi Sistem Industri Vol. 24 No. 1 (2025): Published in June 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n1.p63-83.2025

Abstract

Selecting appropriate suppliers is critical for healthcare organizations to ensure high-quality, reliable, and sustainable patient care services. In an increasingly competitive environment, hospitals must optimize supplier selection not only based on economic factors but also by integrating environmental and social sustainability considerations. This study aims to create a strong system for choosing sustainable suppliers in healthcare by combining fuzzy-based multi-criteria decision-making (MCDM) methods with Grey Forecasting GM(1,1) to handle uncertainty and changes in performance over time. The proposed framework applies the Fuzzy Best-Worst Method (F-BWM) to determine the relative importance of sustainability criteria, while the Fuzzy Additive Ratio Assessment (F-ARAS) method is used to rank suppliers based on these weighted criteria. Grey Forecasting GM(1,1) is employed to predict supplier performance for future periods, with forecasting accuracy evaluated through Mean Absolute Percentage Error (MAPE). All supplier forecasts achieved MAPE values below 5%, indicating very high prediction reliability. Empirical results from a case study at a general hospital in Indonesia confirm that social aspects, such as patient safety and reputation, are prioritized over economic and environmental considerations. Practically, the proposed framework enables healthcare institutions to holistically evaluate suppliers, specifically reducing risks related to supply disruptions and quality inconsistencies. The model performs best under conditions of limited or uncertain data availability, where supplier historical performance trends can be leveraged to forecast future reliability and sustainability outcomes. The prioritization of sustainability criteria yields social criteria (weight = 0.3703) as the most important, followed by economic (0.3609) and environmental (0.2688) criteria.
Time Window Characteristics in a Heuristic Algorithm for a Full-Truck Vehicle Routing Heuristic Algorithm in An Intermodal Context Wisute Ongcunaruk; Pornthipa Ongkunaruk; Gerrit Janssens
Jurnal Optimasi Sistem Industri Vol. 24 No. 1 (2025): Published in June 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n1.p18-36.2025

Abstract

Intermodal container terminals handle both the pickup and delivery of containers to and from customers, with these transport activities and terminal handling comprising a significant portion of intermodal transport costs. Efficient operations are therefore essential, particularly when time window constraints limit routing flexibility. This study presents a metaheuristic incorporating time windows to plan container pickups and deliveries. The proposed algorithm operates in three phases: initial solution construction using an insertion heuristic, improvement via local search, and further refinement through a deterministic annealing metaheuristic. The presence of time windows makes the planning more difficult, as the transport company has less flexibility in constructing the transport routes and, as a result, the distance travelled and/or the cost is increased. To assess how time window characteristics affect algorithm performance andcost, the study introduces two temporal descriptors—concentration (the clustering of time windows during the day) and specialization (the dominance of short or long-time windows in specific periods). The results of the experimental runs of the algorithm are statistically analysed to identify under which conditions of concentration and specialization an effect on the cost can be identified. Experimental results reveal that increased concentration leads to a rise in both the number of routes (up to 35%) and total cost (around 2%). While concentration results in more routes, these routes remain relatively cost-efficient. Furthermore, a lack of specialization in concentrated time windows amplifies both the number of routes and the total cost. Finally, the length of time windows influences these effects, with shorter time windows having a reduced impact on concentration and specialization outcomes compared to longer ones.
Factors Affecting Personal Hearing Protector (PHP) Use Among Industrial Workers: Development and Validation of the Questionnaire Nur Syafiqah Fauzan; Ezrin Hani Sukadarin; Mirta Widia; Muhammad Faizal Zainal Abidin
Jurnal Optimasi Sistem Industri Vol. 24 No. 2 (2025): Published in December 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n2.p286-304.2025

Abstract

Personal hearing protectors (PHPs) used by industrial workers have already been a preferred measure in various industrial sectors that have issues with excessive noise exposure. Although personal hearing protectors (PHPs) are widely provided across industrial workplaces, actual worker compliance with their consistent and correct use remains notably low. Therefore, this study aimed to develop a valid measure to evaluate factors affecting PHP use among industrial workers in Malaysia. A questionnaire was developed on the factors affecting PHP use among industrial workers in Malaysia. The questionnaire comprised several items and was created using a systematic, thorough process consisting of three stages: (i) formulating items, (ii) translating them back-to-back, and (iii) subjecting them to expert content assessment by six (6) panels of experts. The questionnaire constructs and items were evaluated for content validity and reliability. The content validity score for each item was considered satisfactory. The Cronbach’s alpha was 0.940, indicating high overall internal consistency. The domain coefficients were as follows: interpersonal influence, 0.899; perceived severity, 0.902; perceived benefit, 0.868; perceived barrier, 0.893; perceived self-efficacy, 0.879; cues to action, 0.815; and use of PHP, 0.840. The domain coefficients demonstrated good to high internal consistency, ranging from 0.815 (cues to action) to 0.902 (perceived severity). This study shows that the questionnaire on factors affecting PHP use among industrial workers is valid and well-structured. Therefore, this study provides a valid and reliable tool for assessing factors influencing PHP use, which can inform the planning of targeted noise management programs.
Digitalization and Sustainability Indicators for SMI Resilience in Developing Economies: A Conceptual Model from Padang City of Indonesia Rini Syahfitri; Elita Amrina; Insannul Kamil
Jurnal Optimasi Sistem Industri Vol. 24 No. 2 (2025): Published in December 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n2.p367-391.2025

Abstract

The application of digital technology increases productivity, expands market reach, helps small and medium industries (SMIs) adapt to various changes, and provides a great contribution to sustainability. Sustainability emphasizes the importance of maintaining economic, environmental, and social balance in the long term, while resilience describes the ability of SMIs to confront and recover from various disruptions. However, the SMIs in Padang are less aware of the importance of implementing digitalization sustainably to achieve SMI resilience. Several indicators remain unmet by SMIs. This study aims to compile and validate digitalization and sustainability indicators appropriate to the context of local SMIs. These indicators were collected from various literature sources that include digital literacy, digital marketing, economic, environmental, and social sustainability, and resilience aspects. The validation process involved five experts from academia, government, and industry practitioners selected based on their expertise in the fields of the aforementioned aspects. Experts assessed the relevance and clarity of each indicator using the Likert scale, then the results were analyzed with the Aiken index and tested for reliability between assessors using SPSS to ensure consistency of assessments. The results of the study show that these indicators are aligned with the dimensions measured, particularly those that affirm the importance of digital literacy, digital marketing, and social aspects of sustainability in strengthening the resilience of SMIs. These validated indicators were then used to develop a conceptual model that can be a strategic reference for stakeholders and policymakers to increase the competitiveness, resilience, and sustainability of SMIs in Padang.
Mixed Methods Approach to Ergonomic Risk Assessment in Malaysian Railway Maintenance Operations Hellstrome Young Akuma; Nazlin Hanie Abdullah
Jurnal Optimasi Sistem Industri Vol. 24 No. 2 (2025): Published in December 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n2.p213-233.2025

Abstract

The safety and well-being of human personnel play an increasingly important role in determining whether prescribed objectives and overall performance goals are met in work environments. Various Ergonomic Risk Assessment (ERA) methodologies are thus constantly applied to examine whether risks and hazards that can lead to musculoskeletal disorders (MSDs) are present in these environments. This is especially true in high-risk industries, such as railway maintenance, where workers are subjected to repetitive tasks that are often dynamic and complex in nature. This study, therefore, proposes a conceptual framework to assess ergonomic risk factors (ERFs) in such environments, and suggests mechanisms for intervention. To achieve this, a Cornell Musculoskeletal Discomfort Questionnaire (CMDQ) was used to collect pain and discomfort data from 27 Malaysian railway maintenance workers (n=27). This was supported by semi-structured interviews, which provided context for the numerical results and incorporated workers’ perceptions of their routine tasks into the overall study design. Findings from the collected data showed that workers were often exposed to ERFs, including awkward and static postures over long periods of time. Pain and discomfort were also reported in upper body regions, including the shoulders, neck, and wrists. These results exposed the need for the incorporation of modern technological tools to support the assessment process. The proposed framework, therefore, sets a stage for the integration of Three-Dimensional Computer-Aided Design (3D-CAD) and Virtual Reality (VR) as simulation and visualization components of ERA.
Determining the Number of Stops and Recharging Time for Electric Vehicle Trips Using GIS and k-Means Clustering Arielle Elias Arantes; Bruno Athayde Prata; Vilmar Felipe Ricardo Bomfim
Jurnal Optimasi Sistem Industri Vol. 24 No. 2 (2025): Published in December 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v24.n2.p270-285.2025

Abstract

The increasing adoption of electric vehicles (EVs) worldwide is driven by environmental concerns and the depletion of fossil fuels. Yet, the limited battery range remains a significant barrier to their widespread use, particularly for long-distance travel. This study addresses this challenge by developing a methodology to determine the number of recharging stops, their durations, and strategic locations for electric vehicle charging stations (EVCSs) using k-means clustering analysis, with proposed station locations visualized within a GIS framework. The method integrates quantitative data from questionnaires administered to transportation experts and professionals (N=24) and applies it to case studies across three major highway routes in Ceará, Brazil.  The k-means clustering proposed a solution of three stops with a 28-minute recharge time; however, subsequent analysis revealed this time was an overestimate compared to a more precise, distance-based linear model. A key implication is that while clustering can group user preferences, its direct output for operational parameters like charging time can be imprecise. Therefore, we demonstrate the necessity of calibrating such models with physically-grounded equations to achieve practical and efficient trip planning. This approach highlights the importance of integrating user preference data with distance-based models to create more realistic EV infrastructure plans for long-distance corridors.

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