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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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Ergonomic Risk Assessment of Warehouse Workers in the Courier Service Industry: A Case Study from Kuantan, Malaysia Alya Nadhirah binti Ismail; Mirta Widia; Ezrin Hani binti Sukadarin; Wan Norlinda Roshana Binti Mohd Nawi; Mohammad Faizal bin Zainal Abidin
Jurnal Optimasi Sistem Industri Vol. 23 No. 1 (2024): Published in July 2024
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The global surge in demand for courier services has introduced both benefits and challenges. Courier workers face immense pressure to handle large volumes of orders, leading to increasing cases of health and occupational injuries. The lack of ergonomic interventions in their work highlights the urgent need for ergonomic assessments in the courier industry. In Malaysia, current ergonomic risk assessments for warehouse courier workers are insufficient, making it essential to identify prevalent musculoskeletal disorders (MSDs) and determine the associated risk factors and levels posed by their daily tasks. This study aimed to address this gap by conducting ergonomic risk assessments among 35 warehouse workers using the Cornell Musculoskeletal Discomfort Questionnaire (CMDQ), the Initial Ergonomic Risk Assessment (ERA) Checklist, and Rapid Entire Body Assessment (REBA). Three different work tasks were observed: scanning and sorting, tiered storage and stacking, and load unloading. The findings revealed that lower back pain was the most common ailment (14.5%), followed by hip pain (8.39%) and neck pain (7.89%). The tiered stacking storage activity posed the highest ergonomic risk, with identified risk factors including awkward postures, static and sustained activity, and repetitive tasks. The REBA analysis indicated a very high-level risk for tiered stacking storage, necessitating immediate ergonomic interventions. These findings contribute to the field of ergonomics and provide valuable insights for safety practitioners, ergonomists, researchers, and academicians in occupational safety and health and the courier service industries.

Synergizing IFTOPSIS and DEA for Enhanced Efficiency Analysis in Inpatient Units Wardani, Cholida Usi; Abusini, Sobri; Darti, Isnani
Jurnal Optimasi Sistem Industri Vol. 22 No. 2 (2023): Published in December 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The pursuit of efficiency in the business sector is a multifaceted endeavor, extending beyond mere cost reduction to encompass a strategic optimization of operational performance. The enhancement of efficiency is not solely for the benefit of investors or proprietors but is also a concerted effort to maximize resource utilization and minimize waste. This study introduces an integrative approach combining IFTOPSIS and DEA methodologies to deliver a robust efficiency evaluation framework.The fusion of IFTOPSIS's qualitative analysis with DEA's quantitative assessments addresses the complexity of operational performance, providing a balanced evaluation that transcends subjective bias with data-driven insights. IFTOPSIS articulates decision-makers' preferences in uncertain scenarios, assigning weights to criteria, while DEA discriminates between efficient and inefficient operational units. This confluence of methods is applied to the assessment of inpatient healthcare units—a sector that has traditionally relied on patient-centric evaluations, neglecting the comprehensive review of resource deployment. The results of this amalgamated approach reveal dimensions of operational efficiency previously unexplored, offering stakeholders a data-enriched foundation for strategic decision-making. The study's findings have significant implications for the healthcare industry, providing a template for resource evaluation that could inform policy and drive improvements in patient care services.

Analisis Sistem Rantai Pasok Minyak Fajri Harisnanda; Ikhlashia Amaly; Alan Mario Gusman; Fulti Febriani; Alwedria Zamer; Wina Elisya
Jurnal Optimasi Sistem Industri Vol. 11 No. 1 (2012): Published in 1st April 2012
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

PT Pertamina is a large company engaged in oil business, non-fuel, gas, petrochemicals and lubricants both in Indonesia and outside Indonesia. Therefore, special attention should be given to the supply chain system that applied this company, because taking into consideration the supply chain, companies can ensure that the resulting product in good condition, transported properly, and ensure that the resulting product arrives in the hands of consumers by the state good also. Moreover, taking into consideration the supply chain, companies can also improve the efficiency and productivity of the enterprise and can increase customer confidence in the company.Keywords: supply chain, efficiency, productivity, distribution

Evaluasi Proses Pelayanan Administrasi Kependudukan dengan Metode Lean Office Henra Nanang Sukma; Elita Amrina; Alizar Hasan
Jurnal Optimasi Sistem Industri Vol. 17 No. 2 (2018): Published in October 2018
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

The problems occurred at the Pelalawan Population and Civil Registration Service are wasteful in the time of service for population administration. Therefore, this study aims to make improvements in reducing waste of service time and provide recommendations for managing the administrative service process, thus, it can be used as a reference in the process of improving government service organizations. The method used is the Define, Measure, Analyze, Improve, and Control (DMAIC) method, by removing unproductive process steps, which focus on measurements, and applying technology to improve the quality of the target towards Six-Sigma. The results obtained by following the DMAIC process are the smallest timeliness in providing services with a gap value=(-1,196), σ=1,62; the ease of the service procedure with the gap value=(-0,917), σ=1,76; the competence of the officers in the service with the gap value=(-0,897), σ=1,76; and written and electronic information resources that are needed by the gap value=(-0,876), σ=1,78. The study proposes improvements by creating digital document archive settings, conducting the performance measurements using VSM map, building the queue system, creating a flow of services, designing a one door services, and improving the quality of resources by training the officers.

Model Dinamika Sistem Pasokan dan Distribusi pada Gangguan Pendistribusian BBM PT. Pertamina Padang Ivan Ivan
Jurnal Optimasi Sistem Industri Vol. 11 No. 2 (2012): Published in 1st October 2012
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This paper discusses supply and distribution Bahan Bakar Minyak (BBM) system at PERTAMINA Padang to look a performancy system that disturbance of distribution like replacement Automatic Circuit Breaker (ACB). The replacement of ACB processes about 12 hours and causes the distributing activity of BBM to Stasiun Pengisian Bahan Bakar Umum (SPBU) has to be stopped. It makes impact toward the work ability of supplying and distributing system. Therefore, a planning model which is able to see the impact of ACB replacement toward system behavior of supplying and distributing is needed. Purpose of the modelling is to study the behavioral effects of variable in supply and distribution system using causal loop diagram and stock flow diagram. Result of this diagram has built simulation model to analyze performance system. Verification testing done by the method of checking the level and flow and testing of the coding. Validation of the model while the testing is done by operational graphics and the variability parameter sensitivity analysis. The model was designed and carried out the design of simulated scenarios to determine a strategy for decision-makers to look at the performance of BBM supply and distribution system. Keywords: BBM, supplying, distributing, ACB replacement, dynamic system

Penerapan Quality Function Deployment (QFD) pada Pengembangan Produk Sabun di UKM Kota Batam Sugianto, Welly; Prasetyo, Rony
Jurnal Optimasi Sistem Industri Vol. 17 No. 1 (2018): Published in April 2018
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Usaha Kecil Menengah (UKM) Simo was established since 2002 and produces various hygiene products such as detergent soap, bath soap, softener and others. Currently, Simo has a mainstay product in the form of bath soap for the hotel. However, these products still cannot dominate the Batam market. Sales of bath soap are declining. The decline is due to soap products that are made not in accordance with customer expectations. This study looks for product specifications that meet customer expectations. The method used is quality function deployment (QFD). The purpose of this study is to design a quality soap product in accordance with customer expectations. The customer voices are grouped in such a way as to get an overview of customer expectations. The process of grouping is done by using exploratory factor analysis method. Through exploratory factor analysis, the company can get customer expectations that may not be explored through the questionnaire. Through this general overview, customer expectations are detailed up to the tertiary stage. The priority of customer expectations is determined based on the questionnaire data so that the allocation of resources can be done appropriately. Details of these expectations are related to the technical characteristics. Through the technical characteristics, the company is able to make products according to the customer expectations.

Perancangan Sistem Informasi pada Bagian Gudang PT. PN VI Unit Usaha Ophir Dina Rahmayanti; Ringgo Afrinando
Jurnal Optimasi Sistem Industri Vol. 12 No. 2 (2013): Published in 1st October 2013
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Sistem Informasi adalah sistem buatan manusia yang terdiri dari komponen-komponen dalam organisasi untuk dapat menyajikan informasi . Sebuah sistem informasi yang baik dapat meningkatkan kinerja dari semua kegiatan dalam perusahaan yang didukung oleh data yang akurat dan lebih aman , sehingga semua kegiatan dapat berjalan lebih efektif. PTPN 6 Satuan Usaha Ophir adalah salah satu perusahaan yang bekerja di industri manufaktur pengolahan minyak sawit . Salah satu bagian dari perusahaan ini yang penting adalah penyimpanan . Hal ini penting di gudang adalah pencatatan data barang yang ada . Dalam bagian ini ada sistem yang kurang baik dimana pencatatan data secara manual sehingga dapat mempengaruhi munculnya kesalahan . Oleh karena itu, dibutuhkan perancangan suatu sistem informasi item data sehingga waktu yang dibutuhkan untuk mencari data tidak panjang dan menyederhanakan aliran informasi. Perancangan sistem informasi ini melalui beberapa tahapan dimulai dengan survei pada perusahaan , masalah identifikasi , analisis sistem , desain model menggunakan UML dan akhirnya dengan merancang sistem informasi dengan menggunakan database dan aplikasi dengan PHP – MySQLKata Kunci: Departemen Penyimpanan, Sistem Informasi, UML Diagram

Model Jaringan Distribusi Produk dengan Pendekatan Fuzzy Multi Objective Programming Viarani, Suci Oktri Viarani M; Henmaidi; Bronto Adi, Alexie Herryandie
Jurnal Optimasi Sistem Industri Vol. 17 No. 1 (2018): Published in April 2018
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

PT. Semen Padang is one of the cement producers competing to meet the needs of the cement. To that end, PT. Semen Padang must ensure the availability of cement on time, quantity, location and at competitive rates. One way to achieve this by optimizing the distribution system because it will be able to maximize sales and increase corporate profits. In this research, the distribution network planning model of PT. Semen Padang considering the cost of transportation, facility capacity, time, and uncertain demand. This model aims to minimize the total cost of product distribution and cost of opening the buffer warehouse and Packing Plant and maximize responsiveness to customers considering the uncertain parameters by using Fuzzy Multi-Objective Programming method. Based on the results of the research, had obtained the product distribution network planning model by using the fuzzy multi-objective programming method with the output is the opening of Packing Plant and buffer warehouse and the amount of product delivery to the final consumer with minimum cost and time of distribution. Search solution or output model assisted with Software Lingo 17.0. The designed model is able to explain the change of output if there are any changes in parameters covering demand between marketing areas, transportation costs between marketing areas and vehicle speed in transporting products from the last distribution center to the marketing area. The model can be implemented in the distribution network planning of PT. Semen Padang by using data in accordance with the conditions in the field.

Risk Mitigation Strategy for Coal Transshipment Noufal Zhafira; Triwulandari Satitidjati Dewayana; Dedy Sugiarto
Jurnal Optimasi Sistem Industri Vol. 22 No. 1 (2023): Published in May 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Coal transshipment necessitates efficient and prompt execution, devoid of any delays or work-related accidents. Numerous events during the transshipment process have the potential to disrupt operations and pose substantial risks. This research aims to examine the risks associated with coal transshipment by leveraging ISO 31000:2018 as the risk analysis framework. Additionally, it seeks to prioritize risk mitigation strategies employing the Techniques for Other Preferences by Similarity to Ideal Solutions (TOPSIS) methodology. Data collection for this study involved surveys and expert discussions to comprehensively analyze all risks by ISO 31000:2018 guidelines. The findings were then visualized through the use of a fishbone diagram, which facilitated the identification and understanding of the generated risks. The analysis revealed several threats that could impact the coal transshipment process. These major threats include natural disasters, equipment failures, shipping accidents, health risks for workers, fire hazards, operational delays, inefficient loading and unloading processes, and transportation accidents. The proposed mitigation strategies such as designing SOPs, developing emergency response plans, implementing safety measures, providing training, conducting risk assessments, and ensuring equipment maintenance, are academically supported and practical in their application. However, challenges such as financial constraints, resistance to change, and the dynamic nature of the process need to be overcome for effective implementation. Organizations can enhance safety and operational efficiency in coal transshipment by carefully managing resources, engaging stakeholders, and continuously evaluating and improving strategies. Overall, the proposed strategies offer a feasible and proactive means to mitigate threats and promote a safer and more efficient transshipment process.

Feature Selection and Performance Evaluation of Buzzer Classification Model Dian Isnaeni Nurul Afra; Radhiyatul Fajri; Harnum Annisa Prafitia; Ikhwan Arief; Aprinaldi Jasa Mantau
Jurnal Optimasi Sistem Industri Vol. 23 No. 1 (2024): Published in July 2024
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

In the rapidly evolving digital age, social media platforms have transformed into battleground for shaping public opinion. Among these platforms, X has been particularly susceptible to the phenomenon of 'buzzers', paid or coordinated actors who manipulate online discussions and influence public sentiment. This manipulation poses significant challenges for users, researchers, and policymakers alike, necessitating robust detection measures and strategic feature selection for accurate classification models. This research explores the utilization of various feature selection techniques to identify the most influential features among the 24 features employed in the classification modeling using Support Vector Machine. This study found that selecting 11 key features yields a remarkably effective classification model, achieving an impressive F1-score of 87.54 in distinguishing between buzzer and non-buzzer accounts. These results suggest that focusing on the relevant features can improve the accuracy and efficiency of buzzer detection models. By providing a more robust and adaptable solution to buzzer detection, our research has the potential to advance social media research and policy. This enabling researchers and policymakers to devise strategies aimed at mitigating misinformation dissemination and cultivating an environment of trust and integrity within social media platforms, thus fostering healthier online interactions and discourse.

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Contact Name
Rika Ampuh Hadiguna

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hadiguna@ft.unand.ac.id

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

Editorial Address
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Location
Kota padang,

Sumatera barat

INDONESIA