cover
Contact Name
Rika Ampuh Hadiguna
Contact Email
hadiguna@ft.unand.ac.id
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hadiguna@ft.unand.ac.id
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Kota padang,
Sumatera barat
INDONESIA
Jurnal Optimasi Sistem Industri
Published by Universitas Andalas
ISSN : 20884842     EISSN : 24428795     DOI : -
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
Penentuan Jumlah Kendaraan Transjogja Dengan Metode Simulasi Masrul Indrayana
Jurnal Optimasi Sistem Industri Vol. 9 No. 2 (2010): Published in October 2010
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (621.171 KB) | DOI: 10.25077/josi.v9.n2.p53-58.2010

Abstract

Improving the public service, Yogyakarta city government formally operate a new transportation system "transjogja" The trial results using transjogja produce different responses from the public. Some passengers complained about the time interval between the arrival of a very old bus. Interarrival time of buses at a bus stop is badly affected by the path length and number of stops that serve the fleet. It is also closely related to factor profitable and density / number of passengers in the bus stop / path. It required a study to determine the number of bus fleet for each path without increasing the risk and investment failures. The assessment can be done with the help of simulation methodology. Based on these studies have been done on Route 2B and assistance Arena Software, acquired three service models to choose from a fleet of 4 units per hour with maximum queuing time of 7.6196 minutes, 3 units of the fleet per hour with a maximum queuing time of 10.4605 and 2 units fleet per hour with maximum queuing time of 17.1047.
Perancangan Standar Penilaian Kinerja Pemeliharaan Lampu Jalan Berdasarkan Key Performance Indicators (KPI’s): Studi Kasus di Kota Padang Nilda Tri Putri; Insannul Kamil; Demi Ramadian
Jurnal Optimasi Sistem Industri Vol. 11 No. 2 (2012): Published in October 2012
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1019.94 KB) | DOI: 10.25077/josi.v11.n2.p225-234.2012

Abstract

Sistem transportasi yang baik dan memadai merupakan hal penting yang harus diperhatikan untuk memenuhi kebutuhan pelayanan terhadap keperluan masyarakat dalam menjalankan aktivitasnya setiap hari. Aktivitas transportasi tidak hanya berlangsung pada siang hari, namun juga dilakukan pada malam hari sehingga keberadaan lampu penerangan jalan sangat penting untuk menerangi jalan dan melancarkan kegiatan transportasi tersebut. Saat ini kondisi lampu jalan di Kota Padang banyak yang mengalami kerusakan. Penyebab utama kerusakan lampu jalan adalah tegangan, yaitu beban puncak yang terjadi mulai dari pukul 18.00-23.00 WIB. Berdasarkan hal tersebut, penelitian ini menggunakan Key Performance Indicator (KPI) untuk menghasilkan standar penilaian kinerja dalam melakukan penilaian terhadap pemeliharaan lampu jalan yang ada di kota Padang. Perancangan dimulai dengan mengidentifikasi KPI yang didapatkan dari studi literatur. KPI yang telah didapatkan divalidasi kepada stakeholder untuk mendapatkan KPI yang cocok untuk diterapkan di kota Padang. Setelah itu dilakukan pembobotan KPI melalui perbamdingan berpasangan dengan menggunakan metode AHP.
Sistem Informasi Pemasaran Biduk Wisata Pulau Berbasis Web Mobile (Studi Kasus di Sungai Pisang, Padang, Sumatera Barat) Elita Amrina; Insannul Kamil; Hadigufri Triha; Ardhian Agung Yulianto
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published in October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (886.215 KB) | DOI: 10.25077/josi.v18.n2.p142-152.2019

Abstract

The geographical condition of Sungai Pisang Village located on the coastal fringe and not too far from the famous island tourism which potential in West Sumatera becomes an opportunity for the people of Sungai Pisang, especially the fishermen to increase their standard of living. But in reality, the outsiders in the Bungus area are more likely to take advantage of the opportunity because of their location close to the city center. The tourists can only be seen from afar by biduk fishermen of Sungai Pisang. Most tourists prefer to use Tour and Travel services from Bungus area. Biduk fishermen are only bringing few tourists to the island tour even though the price offered is much cheaper. Based on preliminary study, there are problems such as the lack of knowledge of the fisherman on the effective product marketing strategy. So far, there are no marketing tools to promote the transportation services of biduk fisherman to the island tourism in the Sungai Pisang broadly. Therefore, it is necessary to design a marketing information system for island tourism biduk.  The marketing information system is a mobile web-based designed using PHP programming language and supported by the MySQL database. The information marketing system is expected to increase the number of tourists who use the island tourism biduk as an effort to increase the sustainable fishermen's economy.
Cover & Preface JOSI Vol. 18(1) 2019 Hilma Zadry
Jurnal Optimasi Sistem Industri Vol. 18 No. 1 (2019): Published in May 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4180.037 KB) | DOI: 10.25077/josi.v18.n1.p%p.2019

Abstract

Analisis Penerimaan dan Pengeluaran Barang Umum Non Curah Pada Gudang Perbekalan PT. Semen Padang Amanda Febria Sari
Jurnal Optimasi Sistem Industri Vol. 10 No. 1 (2011): Published in April 2011
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (447.758 KB) | DOI: 10.25077/josi.v10.n1.p85-92.2011

Abstract

Inventory has its advantages and disadvantages. The advantage of this inventory is to beable to anticipate the urgent needs of the company, meet the demand from users. But thisstock has a loss, which can increase the costs to be incurred by the company so as to reducethe advantage held by the company. The more the amount of inventory in warehouse, themore the cost of inventory that must be removed and inventory turnover (ITO) whichproduced the lower. One way to do inventory control is to determine the optimal orderquantity. The method used to determine the optimal number of reservations is to use theEOQ method by considering the amount of safety stock and reorder point when done. Basedon the calculations have been performed for the optimal order quantity are 2,019 bottles ofoxygen, welding wirerod is 14,795 stems, and 185 stem of pipe metal. By doing of EOQ toinventory control obtained by the method of ITO increases the weld wire and pipe metalfrom 0.0392 to 1.1010 at the welding wire and from 0.2949 to 0.8627 on a pipe metal.However, the oxygen has decreased from 1.9238 to 1.6094 so that it can be concluded thatthe EOQ method can not be applied to the oxygen, but can be applied to the weldingwire and pipe metal.
Optimasi Biaya Distribusi pada HFVRP Menggunakan Algoritma Particle Swarm Optimization Ismanitami Lukman; Rosmalina Hanafi Hanafi
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (945.129 KB) | DOI: 10.25077/josi.v18.n2.p164-175.2019

Abstract

Distribution systems play a significant role in logistics operations. For the companies with consumer goods products this even more important as consumer goods production has fairly cheap price compared to the distribution cost that must be spent by the company. In addition, increased fuel costs have urged the company to be more efficient in planning and schedule the transportation routes. This paper presents the application of the Particle Swarm Optimization (PSO) algorithm to minimize the travel distance and total cost of a Heterogeneous Fleet Vehicle Routing Problem (HFVRP). Experimental results from its application to a real-world case study are presented. The model in this research is the HFVRP where vehicles have different capacities, variable costs, and fixed costs. PSO algorithm was applied because of the high number of customers served, and therefore the exact methods may not be sufficient. PSO parameter setting which produced the optimum result was with the number of swarms 50, C1 1,5, and C2 2 determined through the design of the experiment. The results of computation show that using PSO can minimize the total traveled distance with an average savings of 51.55% and minimize total cost with an average savings of 44.92% from the existing vehicle routes operated by the company.
Goal Programming and Monte Carlo Simulation for Optimizing Inbound Scheduling in Resource-Constrained Warehouses Savio Enoson; Andreas Handojo; Tanti Octavia; Demetrio F. Edryan
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 | Full PDF (430.344 KB) | DOI: 10.25077/josi.v24.n2.p324-344.2025

Abstract

Resource efficiency lies at the heart of logistics performance, with unloading operations in storage facilities serving as a critical determinant of overall productivity. In less developed regions, the widespread reliance on basic rules-based systems such as FIFO often proves inadequate for handling operational complexities, leading to bottlenecks and inefficiencies. Small and medium-sized enterprises (SMEs), constrained by limited resources, are compelled to optimize existing infrastructure rather than invest in costly upgrades. To address this challenge, the present study introduces a goal-oriented programming model designed to assign trucks to loading docks within specific time slots, thereby enhancing time efficiency. The model evaluates performance across four key metrics: waiting time, loading time, overtime, and equity. By leveraging goal programming, numerical prioritization of these objectives becomes possible, enabling flexible adjustments to meet operational needs. Furthermore, Monte Carlo simulation (MCS) is employed to incorporate variability into the dataset and assess model robustness under real-world uncertainty. Experimental results reveal that the proposed approach consistently outperforms traditional systems, delivering significant improvements in time efficiency. These findings highlight the potential of goal programming as a practical solution for planning in resource-constrained environments. The resulting model offers an adaptive, reliable framework that warehouse managers can implement without incurring substantial infrastructure costs.
Perancangan Model Pengukuran Kinerja Lean dan Green Rantai Pasok Semen Secara Terintegrasi Dina Rahmayanti; Utari Putri
Jurnal Optimasi Sistem Industri Vol. 10 No. 2 (2011): Published in October 2011
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1256.507 KB) | DOI: 10.25077/josi.v10.n2.p135-144.2011

Abstract

Abstract PT. Semen Padang is one of the reputable cement companies in Indonesia which is producing types of cement. Implementation of supply chain concept in PT. Semen Padang is very important to satisfy customers and stakeholders requirement. Performance measurement is a process to evaluate the supply chain effectiveness and efficiency in lean and green aspect. The problem is how to design performance measurement model which is integrating lean and green supply chain concepts. The objective of research is integrating lean and green supply chain concepts to design supply chain performance measurement of bag cement type. Integration of lean and green concept is designed by Balanced Scorecard (BSC) perspectives that consist of financial, customer, internal process business and learning and growth. Key performance indicators (KPI) are formulated and classified based on BSC perspectives. Next stage is pair wise comparison process to the weight value. Evaluation of KPI pair wise comparison based is conducted on expert opinion which is selected by consideration of their relevance knowledge and experience. The process of pair wise comparison is calculated to determine priority of the KPIs based on weight value by using Analytical Hierarchy Process (AHP) method. The weight of KPI will be arrange by descending to determine the priority. Model of performance measurement is validated by face validity method. Research result is obtaining 25 KPIs that derived from integration of lean and green supply chain concept of bag cement type. Grouping is consisting of 3 KPIs of financial, 4 KPIs of customer, 11 KPI s of internal process business and 7 KPI s of learning & growth. Result is showing that customer is most prioritized element in supply chain of bag cement type. Implementation of proposing model is coordination of departments and employee in context of information accessibility.
An Integrated Framework for Ergonomic Performance Assessment in Food Manufacturing: A Case Study Using Ergo-VSM, AHP, and TLS Tyas Yuli Rosiani; Meng-Hua Li; Dewi Rahmasari
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 | Full PDF (550.158 KB) | DOI: 10.25077/josi.v24.n1.p84-101.2025

Abstract

In food processing industries, particularly nut-based production that relies heavily on manual labor, ergonomic challenges related to repetitive motion, prolonged static postures, and thermal stress are increasingly prominent due to rising production demands. These issues are often concentrated at specific workstations and tend to be overlooked in conventional performance evaluations. To address this gap, this study proposes an integrated Ergonomic Performance Assessment (EPA) framework designed to evaluate ergonomic performance comprehensively across the entire production line. The framework integrates Ergonomic Value Stream Mapping (Ergo-VSM) for process visualization, the Analytical Hierarchy Process (AHP) for assigning weights to ergonomic criteria, and the Traffic Light System (TLS) for intuitive performance classification. A case study was conducted in a peanut processing facility, involving 8 workstations. Data were gathered through direct observations, detailed task analyses, and expert input from three experts via Focus Group Discussions (FGDs). Ergonomic indicators were derived from literature and expert consensus, weighted using AHP based on pairwise comparisons, and assessed using structured observational metrics. The results were visualized within the Ergo-VSM framework using TLS. Ergonomic performance was quantified through the Manufacturing Ergonomic Score (MES), which reached 69.15%. Based on a three-tier classification system low (<60%), moderate (60–90%), and high (>90%) this score falls within the moderate category, indicating several areas require improvement. Musculoskeletal disorder risks and high working temperatures were identified as the most critical concerns, particularly at thermally intensive and physically demanding workstations. The EPA framework enabled the visualization of ergonomic variation between workstations, allowing for systematic identification of priority areas for improvement. This research contributes to ergonomic evaluation literature by offering a structured, data-driven approach and provides practical insights for enhancing worker well-being and operational productivity.
Minimasi Waste dengan Pendekatan Value Stream Mapping Fandi Ahmad; Dimas Aditya
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published in October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (804.834 KB) | DOI: 10.25077/josi.v18.n2.p107-115.2019

Abstract

The problem that occurs in the packaging bottle production process is the amount of waste in it. Therefore, this study aims to make improvements in reducing waste of production time and provide recommendations for managing the production process so that in the future can be used as a reference in the production process optimization. The method used in this study is descriptive analysis conducted by examining the work and activities of an object. The results of the study show that in the production process, there was still a form of waste which, when viewed from the seven waste concept in the lean manufacturing system, there are some of the most dominant wastes such as inventory, waiting, process, overproduction, and defect. After improvement of the current mapping, the waste that occurs such as inventory, process, overproduction, waiting, and defects that occur in the production line reduced from the total lead time of 2.1 days with seven operators to 0.9 days with ten operators. Furthermore, the cycle time value of the current value stream mapping was 120.9 seconds, while the cycle time value of the proposed value stream mapping was 72 seconds. This shows an increase in productivity.

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