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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 402 Documents
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Acceptance and Satisfaction of Food Waste Mobile Application in a Developing Country: Insights from Extended UTAUT2 and IPMA Ari Widyanti; Mutiara Anberty Paro Uli; Rifko Rahmat Kurnianto
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.p255-269.2025

Abstract

Food waste is a major global problem and has prompted the development of digital solutions such as food waste mobile applications (FWMA). However, factors influencing the user adoption of these applications, especially in developing countries, remain unexplored. The purpose of this study is to analyze existing behavior towards FWMA and modeling factors that influence acceptance of FWMA in the developing country - Indonesia, while also observing efforts to improve its effectiveness and user satisfaction. To achieve this, an acceptance model is developed using the Extended Unified Acceptance and Use Theory 2 (UTAUT2 Extended) model. Moreover, the Importance-Performance Matrix Analysis (IPMA) framework is used to identify areas for improvement and prioritize efforts to increase customer satisfaction in the application of the FWMA. A preliminary sample of 79 respondents completed an online questionnaire consisting of 30 questions and using a five-point Likert scale with anchor values of strongly agree and strongly disagree. The results show that the average frequency of purchases made by respondents via the FWMA system is relatively low, i.e., three or less per month, and that the majority of respondents learnt about the FWMA system from social media and their friends. As far as demographic data is concerned, women are more likely to use the FWMA than men. In particular, according to the UTAUT2 Extended Model, factors influencing satisfaction with the use of FWMA include social influence, habit and trust; furthermore, satisfaction and different food choices influence the intention to use the use of FWMA. Finally, the IPMA results reinforce the focus on increasing satisfaction through diversified food choices by providing a framework for developers and policy makers to support the uptake of the FWMA in developing economies by building trust, promoting habits and strategically increasing food diversity.
Biomechanical and Perceived Comfort Analysis of FDM 3D-Printed Insoles for Flatfoot Treatment: A Systematic Literature Review Lina Dianati Fathimahhayati; Ardiyanto Ardiyanto; Fitri Trapsilawati; Xiao Liu; Ali Zolfagharian; Herianto Herianto
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.p345-366.2025

Abstract

Flatfoot (pes planus), characterized by a reduced or absent medial arch, cause biomechanical disorders, pain and a risk of injury. Customized insoles are a key intervention, with the emergence of 3D printing fused deposition modelling (FDM) based on flexible materials such as thermoplastic polyurethane (TPU) and thermoplastic elastomer (THE). This systematic literature review, based on PRISMA guidelines and analysis of six Scopus studies, assesses the biomechanical and ergonomic properties of these insoles. The results show that flexible 3D printed inserts significantly improve biomechanics by increasing the height of the navicular arch, reducing excessive ankle joint eversion, increasing dorsiflexion and improving the distribution of plantar plate pressure. Regarding perceived comfort, evaluations using the Visual Analog Scale (VAS), the Likert scale and the American Orthopaedic Foot and Ankle Society (AOFAS) questionnaire consistently indicate improved user comfort over no insole or conventional option. Despite these advantages, challenges include limited material options, inconsistent print quality and technical fabrication problems. Further research is needed, especially large-scale studies, to resolve these problems and to improve the clinical use of the product. In conclusion, flexible inserts printed with FDM have the potential to improve both the biomechanical function and the perceived comfort of the footwear use.
Cognitive Load Assessment in Multitasking: An fNIRS Study of Prefrontal Cortex Activation for Ergonomic Insight Ridwan Aji Budi Prasetyo; Herdias Hayyal Falahi; Rais Reskiawan A. Kadir; Hardianto Iridiastadi
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.p305-323.2025

Abstract

Although traditional neuroimaging techniques like fMRI and EEG have yielded insightful results, their rigid movement limitations restrict their practical use. Functional near-infrared spectroscopy (fNIRS) offers a practical alternative by allowing researchers to measure cortical activity during more natural task performance, particularly in the prefrontal cortex (PFC)—a key region for attention and executive control. This study uses fNIRS to investigate how multitasking demands affect PFC activation. An eight-channel fNIRS system recorded the brain activity of thirty participants as they completed tasks from the Multi-Attribute Task Battery (MATB). Oxygenated hemoglobin (HbO) signals were the main focus of data preprocessing, and AtlasViewer was used to visualize cortical projections. The superior and middle frontal gyri, which are linked to the dorsolateral prefrontal cortex (dlPFC), showed a significant increase in HbO responses when multitasking. On the other hand, lower activation levels were produced under less demanding circumstances. These results are consistent with resource-based models of attention, which postulate that the brain allocates more cognitive resources, especially in the right PFC, as task complexity increases. Beyond theoretical ramifications, this study shows that fNIRS can be used to detect cognitive load in real time. In high-stakes settings like aviation, healthcare, and mission-critical operations, this capability has potential uses in adaptive systems intended to monitor and reduce mental overload. This study emphasizes fNIRS as a useful tool for comprehending and managing multitasking in today's dynamic work contexts by bridging laboratory research and real-world settings.
Design of Luxury Train Seat Integrating Emotional Perception and Local Wisdom Approaches Afif Hakim; Bambang Suhardi; Pringgo Widyo Laksono; Mirwan Ushada; Jafri Mohd Rohani
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.p234-254.2025

Abstract

Although the physical ergonomics of seat design have been extensively studied, emotional comfort is still largely overlooked, especially in public transport. This study addresses this gap by incorporating passengers' emotional perceptions into the design of luxury train seats, in response to documented user discomfort which transcends physical dimensions. The aim was to design seats based on the emotional needs of users and the principles of Kansei engineering, incorporating elements of Javanese cultural values as a form of local wisdom. Emotional responses were captured using Kansei words derived from user interviews, online reviews, and from the expertise of local practitioners. The designs included batik and Javanese decorations. A statistical analysis using Quantitative Theory of Type I (QTT1) identified design elements corresponding to semantic differences between Kansei words. Analysis revealed that the dominant emotional dimension is creative, as indicated by the highest multiple of R-squared 0.9785. This dimension has been operationalized in 14 concrete design elements of the proposed seating concept. The innovative use of batik motifs on the seat backrests was a distinctive feature and underlined the fact that users perceived cultural integration as central to the creative dimension. The study concluded that the integration of emotional perception, represented by the creative dimension, and local wisdom, represented by the batik elements, is a viable strategy for the design of culturally distinct and emotionally attractive luxury train seats. It shows that the culturally rooted approach of Kansei Engineering contributes to the welfare of users.
Analyzing Supply Chain Risks Using the House of Risk Method: Evidence from the Salt Industry in Padang City Ahmad Syafruddin Indrapriyatna; Tessa Zulenia Fitri; Rahmat Budiarto
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
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.v25.n1.p120-132.2026

Abstract

Salt remains an important commodity for households and food-related businesses in Indonesia. In Padang City, the availability of salt can be affected when problems occur in raw material procurement, processing, or distribution. Such problems may also make daily activities more difficult for the actors in the chain. Although these risks are often encountered in practice, their priority in the local salt industry has not been systematically studied. This study applies the House of Risk (HOR) method to analyze supply chain risks in the salt industry of Padang City. The data were collected using questionnaires distributed to actors involved in procurement, processing, and distribution. These respondents were included because they handle the activities directly and understand the problems that appear in day-to-day operations. The analysis considers the severity of risk events, the occurrence of risk agents, and the relationship between risk events and their causes. These values were then used to calculate the Aggregate Risk Potential (ARP), which served as the basis for prioritizing risks. The findings show that risk exposure is mainly concentrated in procurement and production activities. This means that mitigation efforts should give more attention to these two stages. Preventive actions were then compared by looking at two practical considerations: how useful each action was expected to be and how difficult it would be to apply. The analysis shows that a small number of risk agents make a major contribution to the overall risk exposure. For this reason, these agents should be handled first. This order of action can help the actors reduce the most important risks without making the supply chain too rigid when conditions change.
The Effect of Condition-Based Maintenance on Heavy Equipment Performance in the Coal Mining Industry: The Moderating Roles of Operational Environmental Conditions and Human Resource Competency Herry Agung Prabowo; Mohd. Zulkifly Abdullah; Farida; Silvi Ariyanti; Hasnida Ab-Samat; Erry Yulian T. Adesta; Andrea Sigit Sulaksono
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
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.v25.n1.p191-215.2026

Abstract

Heavy equipment performance is an important factor that can affect productivity factors in the Indonesian coal mining sector. A major reason behind the high downtime is because they follow time-based maintenance (TBM) methods on their heavy equipment. This has led to the search of new and much better and effective methods such as Condition-Based Maintenance (CBM) method. The use of CBM as a predictive maintenance methodology by coal industry players to minimise equipment downtime is proliferating but, at present, little evidence exists regarding how operational environmental conditions and human resource competencies impact the effectiveness of CBM. This study investigates the impact of Predictive Data Analysis (PDA), Maintenance Actions Proactive (MAP) and Supporting Technology (STE) on heavy equipment performance (HEP) and which include Operational Environment Conditions (OEC) and Human Resource Competency (HRC) as moderating variables. This study collected data from 207 operational and maintenance personnel in Indonesian coal mining companies that have adopted CBM. Analysis of data was conducted through Partial Least Squares Structural Equation Modeling (PLS-SEM) using Smart-PLS 4.0 software. The results showed that PDA, MAP, and STE were positively related to heavy equipment performance, with MAP showing the strongest relationship among the three CBM dimensions. OEC and HRC also had a significant direct effect on performance. However, among the proposed moderating relationships, only the interaction between HRC and MAP was statistically significant. These findings suggest that CBM effectiveness is influenced not only by maintenance-related practices but also by workforce capabilities. This study provides empirical evidence on the relationship between CBM implementation, operational conditions, human resource competencies, and heavy equipment performance in the context of coal mining operations.
Optimal Order Scheduling for Corrugated Box Production on Flexographic Printing Machines Using a Genetic Algorithm Irene Karijadi; Ivan Gunawan; Stephanie Gracia Khangara
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
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.v25.n1.p25-41.2026

Abstract

In a flexographic printing machine, color changeover actually takes up excessive time and serves as a bottleneck in the corrugated cardboard packaging manufacturer. This causes inefficiency and reduces the output. The objective of this study is to optimize production scheduling using a Genetic Algorithm (GA) to minimize sequence-dependent setup times (SDST). The current manual scheduling method used in the studied flexographic printing environment does not explicitly account for the sequence-dependent color changeover structure considered in this study, creating opportunities for improved scheduling performance through optimized production sequencing. To address this problem, the SDST problem was first formulated as a Mixed-Integer Linear Programming (MILP) model based on systematic observation and historical production data. A customized GA was then developed to generate high-quality scheduling solutions, and a systematic parameter tuning process was conducted, identifying an effective configuration of population size 500, 100 generations, and mutation rate 0.7 to ensure stable convergence. Results show that the proposed GA framework reduced setups times by over 70.78% (equivalent to 5.04 hours per shift) compared to the facility’s existing manual scheduling baseline and also outperformed the greedy heuristic benchmark, consistently achieving an average setup time of 8,466.63 seconds across multiple runs with low variability, demonstrating reliable performance. This study shows that GA can serve as a practical approach for optimizing scheduling in flexographic printing and closely related sequence-dependent color changeover production contexts, although the current model is based on deterministic conditions with fixed job sequences, which may limit responsiveness to dynamic production uncertainties such as machine breakdowns or rush orders, suggesting the need for future enhancements using simulation and multi-objective optimization approaches.
A Comparison of Hand Grip Strength Among Healthy Young Adult Malaysian and Thai Women Isa Halim; Radin Zaid Radin Umar; Zulkeflee Abdullah; Muhammad Syafiq Syed Mohamed; Seri Rahayu Kamat; Mohd Shukor Salleh; Dujdow Buranapanichkit; Kunlapat Thongkaew; Ezrin Hani Sukadarin; Denni Kurniawan; Adi Saptari
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
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.v25.n1.p42-62.2026

Abstract

Hand grip strength (HGS) is a well-known parameter of physical capability, clinical health status, and functional work performance. However, the scarcity of standardized, region-specific HGS data for Southeast Asian populations restricts the accuracy of health screening practices and the development of ergonomics and occupational safety guidelines. The aim of this study was to measure the dominant-hand HGS for healthy young adult women of Malaysia and Thailand, to compare the HGS of these two groups of women, and to investigate the relationship between age and anthropometric variables and the HGS. Researchers conducted a cross-sectional study involving 166 healthy women aged 20 to 39 years. This study recruited 92 participants from Malaysia and 74 from Thailand, primarily from university students and staff populations. Dominant-hand HGS was measured using a Jamar dynamometer (Sammons Preston, USA) while participants adopted a standardized standing position with the forearm in a neutral posture. Thai women demonstrated significantly greater mean HGS than Malaysian women (27.31 ± 6.96 kg vs. 23.64 ± 4.67 kg; p < 0.001), corresponding to an approximately 16% difference and a medium-to-large effect size (Cohen’s d = 0.63). Among Thai participants, HGS was significantly associated with palm circumference (r = 0.544), height, weight, and age. These variables collectively explained 44.8% of the variation in HGS. In contrast, only height showed a modest association with HGS among Malaysian participants. Meanwhile, the corresponding regression model demonstrated limited explanatory capability. These findings reveal population-specific differences in both HGS and its anthropometric correlates when assessed under standardized testing conditions. The study provides protocol-specific, preliminary reference data for healthy young adult Malaysian and Thai women, which may inform future development of validated, population-specific reference standards. By generating population-specific reference data, this study contributes to improving the accuracy and equity of health monitoring practices, in line with the objectives of United Nations SDG 3 (Good Health and Well-being).
Impact of IoT Technology Implementation in the Manufacturing Sector: A Systematic Literature Review Rama Dani Eka Putra; Tessa Zulenia Fitri; Helmizar; Khotso Shai; Nia Arfina Foci; M. Arif Munanda; Muhamad Yasin; Handi Wilujeng Nugroho; Fuad Dwi Hanggara
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
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.v25.n1.p94-119.2026

Abstract

The rapid development of IoT research in various fields has promoted the evolution of manufacturing in the Industry 4.0 context. However, the growing and dispersed literature makes it difficult to see the dominant trends and open challenges. The aim of the study is to synthesize the existing IoT research in the manufacturing, by analyzing the sectoral adoption, enabling technologies and implementation objectives. The review develops a systematic understanding of the links between manufacturing sectors, IoT technologies and operational priorities to identify dominant research directions and gaps for future research. A systematic literature review was conducted according to the PRISMA guidelines, screening and analysing peer-reviewed studies along three analytical dimensions: distribution by manufacturing sector, typologies of IoT technologies and strategic objectives of implementation. The analysis identified shared adoption patterns in some manufacturing sectors, common use of sensor-based and cloud-enabled technologies, and a high emphasis on productivity, monitoring and efficiency of operations. The results reveal a significant concentration of IoT research in discrete manufacturing, as well as noticeable attention in process manufacturing, healthcare and general manufacturing, while other sectors remain less explored, indicating an uneven research focus across industries. In terms of technology, Industrial IoT and smart manufacturing solutions are the most common, followed by IoT-enabled digital twin technologies, while the combination of IoT with artificial intelligence, machine learning, and computer vision indicates a growing shift towards more adaptive and intelligent systems. A smaller portion of IoT implementations are related to sensors and monitoring applications, blockchain enabled IoT solutions and distributed architectures, while middleware and system integration appear least often. Regarding implementation objectives, efficiency enhancement is the main driver, followed by predictive maintenance, quality control and productivity enhancement, and real-time monitoring, showing a strong orientation toward improving operational performance. In summary, the synthesis implies that the IoT research in manufacturing is mainly focused on discrete manufacturing applications, operational efficiency objectives, and intelligent automation technologies. The concentration indicates a continued research focus on production optimization, while broader contexts of industrial integration are relatively underexplored.
A Three-Decade Bibliometric Mapping of Scholarly Trends in Industrial Disasters Across High-Risk Sectors Azizan Ramli; Kowit Nambunmee; Haris Setyawan; Khairiah Mohd Mokhtar
Jurnal Optimasi Sistem Industri Vol. 25 No. 1 (2026): Published in June 2026
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.v25.n1.p1-24.2026

Abstract

Industrial disasters in high-risk sectors such as the petrochemical industry continue to occur, despite significant advancements in process safety and technological controls over the years. This suggests ongoing operational challenges and a lack of consistent academic understanding across both technical and regulatory dimensions. While earlier bibliometric studies have focused on specific thematic areas such as domino effects and risk analysis, a thorough synthesis of the thematic evolution and collaboration structures in industrial disaster research remains limited. To address this gap, this study provides a systematic bibliometric mapping of research focused on industrial disasters, analyzing the themes, impact, and collaboration trends over the past thirty years. The analysis assessed publication trends, co-authorship networks, citation dynamics, bibliographic coupling and keyword co-occurrence through the evaluation of 357 Scopus-indexed publications from 1995 to 2025. The findings indicate a gradual transition from technical risk assessment to more comprehensive integrative perspectives. While domino effects and process safety remain the primary focus of study, recent publication trends demonstrate a growing interest in safety culture and organizational factors. European nations, especially Italy, the Netherlands, and Belgium, have become significant players in global research collaborations, suggesting a wider European focus on industrial safety management and regulatory structures such as the Seveso Directive. Thematic clustering revealed three main themes: technical risk assessment, human and organizational factors, and the environmental and societal impacts of disasters, highlighting a growing integration of technical and socio-regulatory issues. Through a comprehensive longitudinal and network-based synthesis that addresses various themes, this study highlights significant works, overlooked correlations, and new research domains such as resilience-oriented risk governance, establishing a basis for more integrated industrial safety research, policy formulation and organizational risk management strategies.

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