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Implementasi Metode QCC untuk Menurunkan Jumlah Sisa Sampel Pengujian Compound
Khamaludin Khamaludin Khamaludin;
Anang Pandan Respati
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas
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DOI: 10.25077/josi.v18.n2.p176-185.2019
In the manufacturing industry, the role of quality control or laboratory parts is very important to ensure the quality of raw materials or finished products by testing. Smooth testing carried out by the QC/Lab section will have an impact on the smooth production process. PT. Bando Indonesia is one of the automotive manufacturing industries that is consistent with quality. However, based on April-June 2018 data based on SQCDMP data, it was found that productivity factors were quite low as indicated by the presence of remaining hardness and specific gravity compound test results reaching 36.44% at the end of each shift. By carrying out corrective actions through the 8 step Quality Control Circle (QCC) and using seven tools as an analytical tool, the results obtained are significant, namely the reduction in the remaining samples of compound testing by only 21.97% and impact on cost, morality, and productivity.
Minimasi Wastedengan Pendekatan Value Stream Mapping
Fandi Ahmad;
Dimas Aditya
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas
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DOI: 10.25077/josi.v18.n2.p107-115.2019
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.
Pengukuran Risiko Kerja dan Lingkungan Fisik pada Departemen IT dengan Menggunakan Metode Rapid Office Strain Assessment (ROSA)
Dian Palupi Restuputri;
Diana Puspita;
Ahmad Mubin
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas
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DOI: 10.25077/josi.v18.n2.p125-132.2019
The use of computers in PT X, especially in the IT department (Information and Technology) has reached 98% of work activities. In the results of the questionnaire using the Nordic Body Map and interviews with employees, it is known that employees experience back pain by 100%, neck 90%, waist 80%, and eye disorders caused by the physical environment. This study used the Rapid Office Strain Assessment (ROSA) method as a measurement tool. ROSA is a quick analysis to measure work risks associated with computer use and determine the level of change in cases of worker discomfort. The measurement results show the final ROSA score is above 7. This means that IT work facilities are not in accordance with the standards of ergonomics, ROSA, and the Ministry of Health No. 48 of 2016 which is a very risky condition and can reduce work productivity. Proposed improvements to minimize workplace risks and increase productivity include improvements to working facilities such as chairs, document holders and tables, location and position of facilities, improvement of the physical work environment such as temperatures to 18 °C, lighting 350 lux, bright color walls of the room and improving employee work postures.
Analysis of Inventory Control by Using Economic Order Quantity Model – A Case Study in PT Semen Padang
Prima Fithri;
Alizar Hasan;
Fadhita Maisa Asri
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas
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DOI: 10.25077/josi.v18.n2.p116-124.2019
Inventory control is a very important issue. It is because the amount of inventory will determine or affect the smoothness of the production process as well as the effectiveness and efficiency of the company. PT Semen Padang is a manufacturing company that produces 10,400,000 tons of cement per year. The achievement of the cement production target at this company depends on the availability of raw materials needed in the cement production process itself. Gypsum is an additional material of the cement production process which is very important because it is a raw material that must exist in the process of making cement. So, if the inventory of gypsum cannot meet the needs of production, then the production process of cement making will be disrupted. PT Semen Padang is using the Min-Max method for inventory control. But the costs are quite high. The cost of inventory can be minimized by using another method such as EOQ (Economic Order Quantity). The conclusions of this research are in 2016 by using EOQ method, the optimal order quantity is 32,073 ton per order, and the frequency is 9 times in a year with total cost Rp. 4,757,673,813.48, and in 2017, the optimal order quantity is 34,856 tons per order and the frequency is 9 times in a year with total cost Rp. 9,694,805,608.36.
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
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DOI: 10.25077/josi.v18.n2.p164-175.2019
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.
Evaluation and Development of Annual Drug Provides Planning at the Riau Islands Province Pharmaceutical Installation
Indri Ayu Ningsih;
Dedy Almasdy;
Alexie Herryandie Bronto Adi
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas
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DOI: 10.25077/josi.v18.n2.p97-106.2019
The high value of expired drugs in the Pharmaceutical Installation of the Riau Islands Province is one of the problems that is faced in the planning process of the Provincial Buffer Stock drug provides. The study was conducted with a qualitative approach and evaluation to understand and find the answers to the problems. The results from identification of problems that were carried out through Focus Group Discussion (FGD) are the data, human resources, and supporting factors that have a significant influence in preparing the plans for drug provides. The four main scales of priority of improvement strategies that were obtained in the preparation of drug planning are (1) Technical guidance and monitoring of evaluation of human resources at the health service center are carried out periodically by the Provincial Pharmacy Installation; (2) Availability of guidelines about the types of drugs that can be provided; (3) Provision of Standard Operational Procedure (SOP) and guidelines for the preparation of written drug providers; (4) The Pharmacy Installation Managers must be pharmaceutical professionals and not be burdened with other work. In an effort to improve data validation in the preparation of the drug provides the plan in the Pharmaceutical Installation of Riau Islands Province, the SILO application (Drug Logistics Information System) is recommended.
Penjadwalan Flow Shop untuk Meminimasi Total Tardiness Menggunakan Algoritma Cross Entropy–Algoritma Genetika
Dana Marsetiya Utama;
Leo Rizki Ardiansyah;
Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas
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DOI: 10.25077/josi.v18.n2.p133-141.2019
Flow shop scheduling problems much studied by several researchers. One problem with scheduling is the tardiness. Total tardiness is the performance to minimize tardiness jobs. it is the right performance if there is a due date. This study proposes the Cross-Entropy Genetic Algorithm (CEGA) method to minimize the mean tardiness in the flow shop problem. In some literature, the CEGA algorithm is used in the case of minimizing the makespan. However, CEGA not used in the case of minimizing total tardiness. CEGA algorithm is a combination of the Cross-Entropy Algorithm which has a function to provide optimal sampling distribution and Genetic Algorithms that have functions to get new solutions. In some numeric experiments, the proposed algorithm provides better performance than some algorithms. For computing time, it is affected by the number of iterations. The higher the iteration, computing requires high time.
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 October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas
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DOI: 10.25077/josi.v18.n2.p142-152.2019
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.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.
Pemodelan Struktural Niat Implementasi Standar Halal Pengusaha UKM Pangan Berdasarkan Faktor Teknologi, Organisasi, dan Lingkungan
Ida Giyanti;
Anita Indrasari
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas
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DOI: 10.25077/josi.v18.n2.p153-163.2019
The objective of this study is to model the technological, organizational, and environmental factors influencing the intention of food manufacturing Small Medium Enterprises (SMEs) to fulfill halal standard requirements. The research was conducted in Surakarta city in which halal-certified SMEs became the research object. Data were analyzed using Structural Equation Model-Partial Least Squares (SEM-PLS). Technological factors were measured by the perceived benefit and complexity of the halal procedure. An organizational factor was measured by SMEs awareness towards the halal standards. While the environmental factor was measured using external pressure. The result shows that the estimated model found support only for the role of perceived benefit of halal standard implementation in influencing the intention of food manufacturing SMEs to fulfill halal standard requirements. Other hypotheses were in the predicted direction but not statistically significant. A little less than half (R2 = 0.413) of the variability in the intention to fulfill halal standard requirements is explained by the four variables. The structural model in this study has a predictive relevance at a moderate level with a Q2 value of 0.208. Based on the findings of this study, it is expected that the government always explains the benefits of adopting a halal standard to the food manufacturing SMEs. Theoretically, this study makes a contribution to enriching the research literature regarding halal certification adoption factors among food manufacturing SMEs.
Model Penilaian Pemasok Bahan Olah Karet (Bokar)
Ridha Luthvina;
Rika Ampuh Hadiguna;
Jonrinaldi Jonrinaldi
Jurnal Optimasi Sistem Industri Vol. 18 No. 2 (2019): Published October 2019
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas
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DOI: 10.25077/josi.v18.n2.p186-198.2019
Crumb rubber industry only depends on one main raw material that is called Bahan Olah Karet (Bokar). Based on the observation of several crumb rubber factories in West Sumatera, the company still uses an unsystematic way of choosing the suppliers of bokar. The weakening of the supplier’s supervision system causes bokar that received by the company, in terms of quality and quantity are not met properly. The way to solve these issues is to develop a fuzzy model for supplier assessment of bokar. The first step is the identification of criteria using FDM. Then developing a mathematical model. This research has been successfully developed a mathematical model where FAHP is used to determine the weight of supplier assessment criteria, combined with signed distance at the defuzzification stage. While FTOPSIS is used to obtain suppliers ranking. Through the survey using FDM, we obtain 6 main criteria and 18 subcriteria which relevant to the conditions of the crumb rubber industry in West Sumatera.