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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.

Arjuna Subject : -

Articles 394 Documents

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Perencanaan Sistem Persediaan Bahan Baku Industri Garmen di PT. DM Nunung Nurhasanah; Syarif Hidayat; Ajeng Putri Listianingsih; Devi Utami Agustini; Faikar Zakky Haidar; Nida'ul Hasanati
Jurnal Optimasi Sistem Industri Vol. 13 No. 2 (2014): Published in October 2014
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

One of the effort to presence with global competition in the era of the Asean Economic Community (AEC) in 2015, making it the various parties, both government, private, and Small and Medium Industries (SMEs) to compete with products made in ASEAN countries. One of the things that can be done is to make the efficiency of the production costs. For that, we need a production planning and control are very closely related to the raw material. The presence of raw materials becomes important because if there is a shortage of raw materials, will inhibit the production process. If the stock overload can make an effect on the cost savings that can increase the cost of the company. IKM DM is one of the industry that concerned to the manufacture of clothing garment, especially to the shorts. The Problems that are often faced by SMEs is the frequent occurrence both in the warehouse overstock raw materials and finished goods warehouse. It is necessary for research in determining the amount of raw materials in the warehouse, so that capital is not held long. This study only focus to three kinds of pants that has all size model, big size type, and type pants buckle. The purpose of this study is predicting the number of requests using the ARIMA period of 3 months in April, May, and June 2014; planned economic order quantity and raw material ordering schedule using the EOQ method. The study also discusses the raw materials inventory system either periodically or in a perpetual; and ends with the calculation of the limitations of the warehouse. Forecasting pants all size in April, May and June respectively 30 840, 31 962, and 32 357 pieces; the big size pants are 8.645,8.782, and 8782; and the buckle pants are 4,960, 4,980, and 4,980 pieces. As for the number of ordering raw materials at economical polly cloth pants all size, buckle, and the big size of 45 562-yard; 17 684; and 25 534 yards. As for the scheduling of raw materials in the all size type, big size type, and the buckles have ROP values of 4.470,1.382, and 660 yards. The frequency ordering as many as 6 times, 3 times, and 2 times with intervals of 30 days, 64 days, and 80 days. From the calculation of the inventory system, obtained perpetual method has the smallest cost. For the calculation of the limitations vast storehouse of raw materials needed 4 shelves for storage of accessories with a total area of 107m2, with a total of 144m2 warehouse area.

A Hybrid Simulation Study to Determine an Optimal Maintenance Strategy Ig. Jaka Mulyana; Ivan Gunawan; Yunia Vera Angelia; Dian Trihastuti
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in November 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

With the increasing complexity of the process industry, having excellent maintenance management is essential for manufacturing industries. Various parts that interact and interdependent with each other make a well-planned maintenance strategy is one of the major challenges facing by industry. The whole system could be interrupted just simply because of the failure of a component. Therefore, a review of a maintenance strategy must be done from a system perspective. It is suggested that the optimal preventive maintenance time interval is not only determined by the lowest maintenance cost of each machine but also its impact on the whole system. Two main indicators that can accommodate the system perspective are reliability and revenue. A large number of machines and the array of machines can be synthesized in the reliability indicator. Moreover, the creation of maximum revenue is always the main goal for a business. The best maintenance strategy will be determined from the revenue obtained by a process industry. The process industry discussed in this study is a flour mill which is very well known in Surabaya. This study applied a hybrid simulation to solve this problem. Monte Carlo simulation was used to observe the machine individually and the results are reviewed using the application of System Dynamics. Three improvement scenarios were proposed in this simulation study. Scenario 2 was chosen as the best scenario because it was able to generate the highest revenue at the end of the period. Scenario 2 recommends setting the preventive maintenance time interval considering resource availability.

Mastery of Skills 4.0 Effect on The Readiness of College Students in Facing Revolution of Industry 4.0 Isna Juwita; Insannul Kamil; Jonrinaldi Jonrinaldi; Berry Yuliandra; Irsyadul Halim
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Revolution of industry 4.0 initiated by the German government, starting from the development of individual innovation behavior especially in the fields of robotics, digital technology, and information, has caused distortions to the future skills requirements. Some of the skills needed a lot in the past are now starting to experience a shift towards less needed. Some are even unnecessary because they are replaced by automation and robots. The emergence of several new skills (skills 4.0) that are more dominant is needed to make every interested party to prepare themselves to face the challenges of the revolution of industry 4.0. Students are one of the interested parties who will face the challenges of the revolution of industry 4.0 after they graduates from the formal higher education. This study determines the readiness of students in facing the revolution of industry 4.0, influenced by the mastery of skills 4.0 and individual innovation behavior with their innovation behavior as a mediating variable. Respondents in this study are 233 undergraduate students of the Andalas University. Using a cluster sampling technique, the data is collected using Likert scale based- questionnaire after which calculations are then performed using the Smart-PLS Program software 3.2.8. The results show that skills 4.0 and individual innovation behavior have a positive effect on students' readiness in facing the challenges of the revolution of industry 4.0. It implies that the students need to improve their mastery of skills 4.0 in order to prepare themselves to face the challenges of the revolution of industry 4.0.

Ergonomic Evaluation on Chicken Feeder Tool at Egg-Laying Chicken Farm SME Nilda Tri Putri; Elita Amrina; Dicky Fatrias; Insannul Kamil; Nabila Humaida
Jurnal Optimasi Sistem Industri Vol. 20 No. 1 (2021): Published in May 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This research aims to evaluate the egg-laying chicken feeder that was designed at egg-laying chicken farm small and medium enterprise (SME). The main reason of this tool design was due to the worker’s complain of feeling pain during the feeding process. Evaluation was performed based on Nordic Body Map questionnaire result, physiological workload, and NIOSH lifting equation calculation. The observed work ranged from the feed filling in the basket until all feeds were distributed. The results showed that the %CVL was in the range of 18%-30% and the energy consumption of workers was in the range of 1.24-3.00 Kcal/minute. Thus, physiologically, the work activities carried out by the feed workers were categorized as very light workload. Meanwhile, evaluation using Lifting Index (LI) methods in the process of feeding showed the LI value ranged from 0.9-1, therefore this activity is safe to perform manually. Based on the prototype evaluation on the feeding aid, the process of feeding activities was more effective 1.5 times faster than the old tools. In addition, with the use of this new tool, the feeding process was easier to adjust the dose each time.

The Effect of Digital Talent on Individual Innovation Behavior, Skills of Revolution Industry 4.0 as Mediator Variables Riri Nofrita; Insannul Kamil; Jonrinaldi Jonrinaldi; Berry Yuliandra; Irsyadul Halim
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in November 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

In the face of the Revolution industry 4.0, global connection, artificial intelligence, and automation have disrupted technology. This made the industrial world's development in work competition, not linear and even created new jobs. Digital talent and innovation are needed to face the world of work. This study discusses the construct effect between digital talent, individual innovation behavior, and Skills Revolution Industry 4.0, and the effect of Skills Revolution Industry 4.0) as a mediator to digital talent constructs' relationship. Data collection is obtained directly (face to face). Samples were previously clustered by sampling technique. Questionnaires use the Likert Scale. Then, the data gotten were processed by SEM-PLS with Software 3.8.2. The result showed that digital talent has a positive effect on individual innovation behavior. This meant that skill of revolution industry 4.0 as a construct mediator was successful. The stronger digital talent influences, the stronger individual innovation behavior influences, and it is accelerated with revolution industry skills 4. This study proposes a model to build mastery of digital talent and individual innovation behavior of Universitas Andalas students through the mastery of skills of revolution 4.0 as a mediator. This research can pave the way to improve students' readiness in facing the world of revolution 4.0, one of which is in the field of digital innovation.

Model Perilaku Partisipasi Warga di Bank Sampah (Studi Kasus di Bantul, DIY) Reni Dwi Astuti; Utaminingsih Linarti
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 increasing volume of waste in Bantul Regency is a problem that must be solved. One of the things that the Regency Government does is by promoting waste banks. From the existing waste banks, citizen participation is still low, so it is not significant enough to reduce the volume of waste disposed of at the Piyungan landfill. One of the factors identified is the low interest of residents to join the waste bank. For this reason, a study of citizens' behavior is needed so that they join the waste bank with a theory of planned behavior coupled with knowledge of how and what and knowledge of consequences factors. Data collection was carried out by distributing questionnaires to members of the garbage bank. The number of respondents was 1265 from 29 waste banks spread throughout Bantul Regency. The method of data analysis uses linear regression. Research shows that attitudes, perceived behavioral control, knowledge of how and what, and knowledge of consequences have positive and significant effects, both simultaneously and partially, on the intention of residents to join the waste bank. Intention is also a significant positive and significant effect on behavior.

Lean Analysis Framework for Waste Management: A Case of Indonesian Textile Company Widyatmoko Reza Prambudi; Ida Giyanti
Jurnal Optimasi Sistem Industri Vol. 20 No. 1 (2021): Published in May 2021
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

This study aims to propose a lean analysis framework for waste management and to test it into the field case. The proposed framework was applied in a weaving process of a textile company in Indonesia. The seven classical Lean wastes were identified using value stream mapping (VSM). The result was then analyzed using the waste assessment model within which waste relationship matrix (WRM) and waste assessment questionnaire (WAQ) according to the answers of the head of weaving division studied. The major source of wastes was then determined utilizing the value stream analysis tool (VALSAT). In order to thoroughly examine the root cause of such dominant wastes and to propose corrective plans to minimize the waste, a fishbone diagram was used. As the main result, this study provides a lean waste analysis framework with examples to orientate managers about wastes. Particularly in our specific case, the results demonstrate that the waiting and defect become the most significant wastes that need to be treated. These findings allow a company to organize its activities and select tools or practices to optimize its efforts to create proper corrective plans in eliminating waste. In our study, the plans include periodic maintenance of weaving machines, clear division of tasks on the distribution of weft yarns, and eliminating unnecessary activities. In addition, it is mandatory to ensure the quality of warp yarns delivered to the weaving process as well as to perform a periodic calibration of equipment on weaving machines. This study advances in the theoretical and practical field by showing a structured way to incorporate lean analysis that can be adopted for any organization.

Recycling Solid Waste of Coconut Oil Industry: A Response Surface-Goal Programming Approach Dwi Agustin Nuriani Sirodj; Ivan Gunawan
Jurnal Optimasi Sistem Industri Vol. 19 No. 2 (2020): Published in November 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Waste minimization is a key success factor to achieve sustainability, including in the edible oil industry. One type of solid waste produced substantially in this industry is spent bleaching earth (SBE), which comes from a mixture of bleaching earth (BE) and activated carbon (CA) used in the edible oil refining process. SBE that is recycled through a heating process is known as heat regenerated SBE (HRSBE). The process is influenced by two factors as stated in previous studies: temperature and time. In the current study, we report the results of experiments to find the optimal combination of temperature and time in restoring the absorbent quality of SBE by observing four quality parameters: colors (red and yellow), Free Fatty Acid (FFA), and Peroxide Value (PV). The current study uses Response Surface Methodology (RSM) to design the experiments and to find the equations of the relationship between the factors for each response; as well as Goal Programming (GP) to find the most optimal combination of factors in order to achieve aggregated quality targets. The findings show that 3.414 hours of heating at a temperature of 151.64oC allow HRSBE to produce coconut oil in accordance with the expected quality targets.

Manajemen Perawatan Menggunakan Metode RCM Pada Mesin Produksi Kertas Hery Hamdi Azwir; Arri Ismail Wicaksono; Hirawati Oemar
Jurnal Optimasi Sistem Industri Vol. 19 No. 1 (2020): Published in June 2020
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

One of the leading manufacturers in packaging paper in Indonesia has six production machines. To keep the production machine always in the best condition, then the role of maintenance is significant. One of the production machines, namely paper production machine 2 (PM2), has experienced increasing the number of breakdowns significantly, resulting in increased downtimes. Sudden failure causes a lengthy repair time and results in considerable production loss. The corrective maintenance method that is running at this time still not effectively reduce downtime. To minimize the number of downtimes, preventive maintenance is needed, and therefore the Reliability Centered Maintenance (RCM) method is selected. Besides applying quantitative analysis such as Mean Time To Repair (MTTR), Mean Time To Failure (MTTF), reliability, and preventive cost calculations. This method also conducts qualitative analysis such as Functional Block Diagrams (FBD), critical engine analysis, Fault Tree Analysis (FTA), and Failure and Mode Effect Analysis (FMEA). After implementing the preventive maintenance, there is an increase in reliability in the sub-system of the press section of the paper production machine 2 from only 43% to 56%, while the repair cost has been reduced by Rp 393,258,670 from Rp 5,724,825,736 to Rp 5,331,567,066 each time replacement of components in the press section. This decrease in costs will contribute to the profits earned by the company because it saves maintenance costs.

Analysis of Environmental Impact and Municipal Waste Management Strategy: A Case of the Piyungan Landfill, Yogyakarta, Indonesia Ahmad Fakhurozi; Tatbita Titin Suhariyanto; Muhammad Faishal
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 ever-increasing volume of municipal waste in Yogyakarta brings overload capacity problems to the Piyungan Landfill. This circumstance results in environmental pollution which harms the local residents. Therefore, this study was conducted to determine the impact of pollution in the Piyungan Landfill from an economic, environmental, and social perspective. Furthermore, this study aims to formulate a waste management strategy in the landfill using the fishbone analysis to find out the root causes of existing problems, the stakeholder analysis method to determine the role of each stakeholder involved, and the SWOT analysis method to determine potential strategies for waste management. From those analysis methods, it is concluded that there are six root causes in the landfill, namely the waste management process, the amount of waste, landfill facilities, the technology used, the implementation process, and government policies. This study recommends several waste management improvements from the combination of strengths and opportunities factors (SO Strategy). The combination of these strategies includes: (1) establishing cooperation policies with foreign parties. (S1, O1); (2) optimizing budget and waste management technology. (S2, O2); (3) providing transportation facilities and technology to optimize the recycled waste business. (S3, O2, O3); and (4) maximizing resources to optimize the recycled waste business. (S4, O3). These strategies are expected to be able to increase the capacity and capability of the Piyungan Landfill in managing waste and overcoming environmental pollution.

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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