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Jurnal Optimasi Sistem Industri

JOSI
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Published by Universitas Andalas

ISSN : 20884842 EISSN : 24428795 DOI : -

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.

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Articles 394 Documents

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A Multi-Objective Double Row Layout Problem Considering Safety Distances and Geometrical Constraints Achmad Pratama Rifai; Setyo Tri Windras Mara; Rachmadi Norcahyo; Andri Nasution
Jurnal Optimasi Sistem Industri Vol. 24 No. 2 (2025): Published in December 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This study addresses an enhanced version of the Double Row Layout Problem (DRLP) by incorporating two critical constraints: minimum safety distances between machines and geometric limitations on row lengths. A bi-objective mixed-integer non-linear programming (MINLP) model is formulated to simultaneously minimize material handling costs and penalties for violating safety distance requirements. To solve the problem efficiently, a novel metaheuristic called Improved Multi-Objective Variable Neighborhood Search (IMOVNS) is proposed. IMOVNS extends the standard MOVNS by integrating an adaptive archive update strategy and a probabilistic acceptance mechanism inspired by AMOSA, thereby improving both convergence and diversity in Pareto front generation. This study contributes to the layout optimization literature by proposing a tailored MOVNS variant explicitly designed for safety-aware and geometry-constrained DRLP, a challenging problem variant that has received limited attention in prior research. Extensive experiments on 27 DRLP instances show that IMOVNS demonstrates strong performance, significantly outperforming NSGA-II and showing competitive or superior results compared to AMOSA and MOVNS in terms of convergence and solution diversity. Statistical tests further confirm the significant superiority of IMOVNS, particularly over NSGA-II. Additionally, a key managerial insight reveals that layouts with unbalanced row lengths favour safety compliance, while balanced layouts minimize material handling costs. The Pareto-optimal solutions generated by IMOVNS enable decision-makers to select layout configurations that align with specific operational priorities. These findings highlight the practical relevance and robustness of IMOVNS in solving real-world multi-objective facility layout problems under complex spatial and safety constraints.

The Influence of Stress on Industrial Operator’s Physiology and Work Performance Kamarulzaman Mahmad Khairai; Auditya Purwandini Sutarto; Muhammad Nubli Abdul Wahab
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in November 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Elevated stress has been widely associated with physical and physiological threats as well as reduced work performance. However, there is still a lack of studies that investigate whether stress influences concurrently physiological and objective work performance. The purpose of this study is to examine whether workers’ level of stress or negative emotional symptoms correlates with their physiological coherence and work performance. Eighteen female operators who reported high severity levels of stress, assessed using the Depression, Anxiety, and Stress Scale (DASS-42) were categorized as the risk group. The comparison group was formed by randomly selecting 18 of 99 female workers who had significantly lower DASS scores. Both participants attended one session of physiological measurement. Their work performance was observed by calculating their cycle time completing a product during five workdays. A significant difference in HRV between the two groups was also found in physiological and work performance measures. The results showed that workers in the risk group obtained significantly lower coherence levels and longer work cycle time than the control participants, indicating that negative emotional symptoms were parallel with physiological coherence and work performance. However, a weak correlation was found between work performance and negative emotional symptoms as well as physiological coherence. Despite the study limitations, our findings support to evidence the more complete picture of how stress affects female worker’s physiology and work performance, suggesting a need to implement effective workplace stress intervention. Further study is needed to be conducted among different group characteristics such as male and occupational settings.

Risk Assessment during Covid-19 and Learning from Home: Evidence from University Students in Indonesia Herman Rahadian Soetisna; Ari Widyanti; Airin Syafira; Dwita Astari Pujiartati
Jurnal Optimasi Sistem Industri Vol. 20 No. 1 (2021): Published in May 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

COVID-19 pandemic has become an international concern. Policies to prevent the spread of disease, such as learning from home, are applied to university students. The present study examines the risk assessment in relation to physical, mental, and psychosocial condition of Indonesian students toward COVID-19 and learning from home. This study involves 838 Indonesian students. A questionnaire consisting of demographic data and constructs from a comprehensive literature study regarding COVID-19 related issues and learning from home issues was developed. Most Indonesian student respondents have a good knowledge of COVID-19 and have received accurate information from the government. The anxiety level during COVID-19 is mild. In relation to physical condition, most students reported musculoskeletal symptoms in the neck, shoulder, and back areas. The respondents conduct preventive behavior against COVID-19 spread, with lack of physical exercise. In relation to mental and psychosocial condition. In relation to mental and psychosocial condition, respondents report moderate mental workload and proper social support from lecturers and friends. In conclusion, most Indonesian university students have a good knowledge and proper attitudes toward COVID-19 and learning from home, which are important in combating and passing through the pandemic.

A Decision Support System to Achieve Self-Sufficiency of Soybean (Case: Central Java Province, Indonesia) Muhammad Hisjam; Nancy Octyajati; Wahyudi Sutopo; Ahad Ali
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in November 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Soybean self-sufficiency in Central Java Province is a problem that is difficult to realize at this time. As an important commodity, self-sufficiency becomes a serious concern for the government. Supply chain management of soybean is related to the integration of supply, demand, and distribution of soybean. The characteristics of entities involved in the soybean supply chain are complex, dynamic, and probabilistic that make the problem cannot be solved using an analytical model and it becomes too risky for trial and error. A suitable tool is using a simulation model. This paper deals with developing a Decision Support System (DSS) using a simulation model that will assist the government in adopting policies in order to achieve self-sufficiency of soybean and the improvement of farmer's welfare. DSS will help decision-makers to try various scenarios of policy in an easy way. The method was started with developing model components, then decision components, and next creating user interfaces. The simulation and system modeling is created by using Powersim software with the intent to obtain the simulation and single document interface (SDI) of the supply chain model. The result shows that land expansion policy is a top priority for realizing food self-sufficiency while increasing productivity and reducing costs of agricultural activities are the main priorities for improving the welfare of farmers.

Hubungan antar Hambatan Green Supply Chain Management (GSCM) pada Industri Kelapa Sawit di Indonesia Rangga Primadasa; Dina Tauhida
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The palm oil industry as an important industry in Indonesia is demanded to conduct business in a sustainable way, including the implementation of green supply chain management (GSCM). However, in order to implement GSCM in the oil palm industry there are many barriers, but not yet comprehensively formulated what the barriers are and how to eliminate it. This study aims to identify barriers GSCM in the palm oil industry in Indonesia, to model the relationship between GSCM barriers and to classify any of it to the palm oil industry in Indonesia using the MICMAC approach. The interpretive structural modeling method was used in this study, where the stages began with a literature study to obtain GSCM indicators of the palm oil industry in Indonesia, then breakdown to get the barriers. The structural self-interaction matrix (SSIM) is then structured based on contextual relationships between obstacles by experts who have worked in the palm oil industry. Furthermore, SSIM is converted into a binary matrix. To get the level of each barrier, the level partitions stage is used to developing a chart and a model between the GSCM barriers in the palm oil industry in Indonesia. This research resulted in 15 GSCM barriers in the palm oil industry, then arranged into a 6-level model of GSCM barriers and divided into four clusters. The implication of this research is the addition of knowledge about GSCM especially the palm oil industry. While managerially giving direction on the strategy to eliminate GSCM barriers in the palm oil industry.

Particle Swarm Optimization Algorithm to Solve Vehicle Routing Problem with Fuel Consumption Minimization Baiq Nurul Izzah Farida Ramadhani; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 20 No. 1 (2021): Published in May 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The Conventional Vehicle Routing Problem (VRP) has the objective function of minimizing the total vehicles’ traveling distance. Since the fuel cost is a relatively high component of transportation costs, in this study, the objective function of VRP has been extended by considering fuel consumption minimization in the situation wherein the loading weight and traveling time are restricted. Based on these assumptions, we proposed to extend the route division procedure proposed by Kuo and Wang [4] such that when one of the restrictions can not be met the routing division continues to create a new sub-route to find an acceptable solution. To solve the formulated problem, the Particle Swarm Optimization (PSO) algorithm is proposed to optimize the vehicle routing plan. The proposed methodology is validated by solving the problem by taking a particular day data from a bottled drinking water distribution company. It was revealed that the saving of at best 13% can be obtained from the actual routes applied by the company.

Cover & Preface JOSI 20(1) 2021 Hilma Raimona Zadry
Jurnal Optimasi Sistem Industri Vol. 20 No. 1 (2021): Published in May 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Proposing Electric Motorcycle Adoption-Diffusion Model in Indonesia: A System Dynamics Approach Dwi Setyo Sulistyono; Yuniaristanto Yuniaristanto; Wahyudi Sutopo; Muhammad Hisjam
Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in November 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

In 2019, the number of conventional vehicles in Indonesia reached 133,617,012 units, dominated by motorcycles of 112,771,136 units and passenger cars of 15,592,419 units. The high number of conventional motorcycle users can increase the number of pollutants and combustion emissions in the environment. This condition has encouraged the transition to a sustainable transport system that will be needed for decades to come, especially for the electric motorcycle to resolve the issue. This research aims to predict and estimate the market share of electric motorcycles by considering life cycle cost per kilometer. System dynamics simulations are developed to model the adoption-diffusion of electric motorcycles in Indonesia. This model has four main modules: an electric motorcycle module, a conventional motorcycle module, an economy module, and a consumer market module. This model shows a positive trend of EM market share from 2021-2030, with the market share value of EM is 0,411 in 2030. The development of retail price subsidy and electricity price scenarios is also carried out to determine the right policies to accelerate the adoption-diffusion process. Based on the scenario, the provision of retail price subsidy and a decrease in electricity price can increase the value of the EM Market Share.

Grey-based Taguchi Method to Optimize the Multi-response Design of Product Form Design Sugoro Bhakti Sutono
Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in November 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This paper presents a multi-response optimization method that uses the grey-based Taguchi method as the integrative product form design optimization method, and it serves as a tool for product form design to determine the optimal combination of design parameters in Kansei engineering (KE). This method is unique in that it combines the Taguchi method (TM) and grey relational analysis (GRA), allowing it to take advantage of the benefits of both methods. The TM is used to design experiments and generate combinative product form design samples which can be used to improve product quality. The GRA is applied to multi-response optimization problems. Factor effect analysis and analysis of variance (ANOVA) are used to determine which combinations of design parameters will result in the optimal product design. To demonstrate the applicability of the grey-based TM, a case study of a car form design is presented, and a confirmation test is performed to verify the performance of the optimal product design. The results show that the grey-based TM can deal with optimization problems with multiple Kansei responses and determine an optimal car form design that is representative of the consumers' perception in a systematic manner. The confirmation test results also show that the optimal product design generated by the grey-based TM can be used to improve the overall quality of a product form.

How Organizational Culture Moderate the Effect of Total Productive Maintenance Practice on Organization’s Operational Performance? Evidences from Indonesian Mining Industry Nasar Buntu Laulita; Agustinus Setyawan
Jurnal Optimasi Sistem Industri Vol. 20 No. 2 (2021): Published in November 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The industry needed a system to support its operation when most of the processes were done by equipment or machines. Total Productive Maintenance (TPM) was a system to ensure all equipment or machines run in optimal performance for long period by fully supported by top management until the bottom level. Implementation of this system in the mining industry was still seldom due to some factors and organizational culture was one of the reasons. The purpose of this research was to analyze the influence of TPM implementation on operational performance by moderating the effect of organizational culture in the mining industry by using a two-step approach of structural equation model (SEM). The research type was under explanative research with hypothesis testing from primary data that was obtained from distributing questionnaires and direct interviews in the field which was analyzed by using Lisrel 8.7. This research showed that the construct of TPM has a significant impact to influence operation performance directly in the mining industry with a t-value of 3.54 and organization culture also increases the significance by moderating effect with t-value of interaction 5.28 was higher than 1.96 while organizational culture was not significant to influence operational performance directly that was showed by t-value 1.22. This research had a novelty for studying TPM practice in Indonesian mining by using SEM to analyze the moderating effect of organizational culture. The managerial implication of this research was a guideline for decision-makers to implement TPM by considering developing, group, hierarchical, and rationale culture to improve operational performance in the Indonesian mining industry.

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Contact Name Rika Ampuh Hadiguna

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Location Kota padang, Sumatera barat INDONESIA

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Contact Name
Rika Ampuh Hadiguna

Contact Email
hadiguna@ft.unand.ac.id

Phone
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Journal Mail Official
hadiguna@ft.unand.ac.id

Editorial Address
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Location
Kota padang,

Sumatera barat

INDONESIA