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Jurnal Optimasi Sistem Industri
Published by Universitas Andalas
ISSN : 20884842     EISSN : 24428795     DOI : -
Core Subject : Science, Engineering,
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 9 Documents
 1 
Search results for , issue "Vol. 14 No. 2 (2015): Published in October 2015" : 9 Documents clear
Analisis Penerapan Lean Production Process untuk Mengurangi Lead Time Process Perawatan Engine (Studi Kasus PT.GMF AEROASIA) Wahyu Adrianto; Muhammad Kholil
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (578.857 KB) | DOI: 10.25077/josi.v14.n2.p299-309.2015

Abstract

Engine maintenance strives to always improve its service excellence with tools such as gate system where the system is expected to realize the lead time for 60days. In the implementation of the gate system is still not able to meet the expected target. During maintenance or overhaul the engine is still encountered waste or waste that causes the target cannot be met. Lean Manufacturing is an approach that aims to minimize waste that occurs in the process flow.Understanding the conditions of the process described in Value Stream Mapping for further elaborate activities that have the value-added and non-value added.Through seven waste concept, then be weighted to determine the most dominant type of waste.From the data processing is obtained that through the Value Stream Mapping is known gate 1 and gate 3 is the point that there are many wastes. Weighting and ranking of seven existing waste in the process of the activity obtained results in the form of a waste critical sequence of seven existing waste. Highest weights on the type of waste waiting with a weight of 0.38. Results of Root Cause Analysis in mind that the root cause of waste waiting for that data is maintained, the lack of attention to people development, There are still bugs in the system and miscommunication.
Model Penentuan Ukuran Batch Produksi dan Bufferstock untuk Sistem Produksi Mengalami Penurunan Kinerja dengan Mempertimbangkan Perubahan Order Awal Ivan D Wangsa
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (669.926 KB) | DOI: 10.25077/josi.v14.n2.p279-291.2015

Abstract

This study develops a model that involves information the preliminary order. At first, the manufacturer provides the preliminary order for the coming week (five days) varies from day to day and is received on Friday. Change in the preliminary order for a given day is announced one day before and this is viewed as it occurs randomly. Moreover, production systems experience performance degradation (deterioration). Status of the production process shifts from in control to out of control that is identified by the last inspection. Inspection is done by sampling. At the time of the status of out of control the probability of producing non-conforming system component that is charged to the restoration cost and warranty costs.This paper is looking for a solution for determining the production batch size and the buffer stock to reduce total cost. The decision variables are production run period (T) and buffer factor (m). Having obtained the variables T and m, then the variable production batch size (QT) and the buffer stock (BT) can be determined sequentially. Heuristic methods used are Silver-Meal (SM) and Least Unit Cost (LUC) to obtain a solution for each model. Numerical examples are given to demonstrate the performance of the models. From the numerical results, it appears that LUC method is better than SM method.
Model Prediksi Prilaku Kerja Aman Industri Kreatif Batik Tulis Sumenep Nachnul Ansori; Trisita Novianti; Fitri Agustina; Ahmad Shodiqul Ma’ruf
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v14.n2.p193-203.2015

Abstract

Sumenep’s hand Batik is one of best practice in Madura. Located in Pekandangan BaratVillage, Sumenep Regency. Production activities done manually and many hazards foundthroughout overall processes. The aime of this research is finding prediction model of safetywork behavior as the response by analyzing factors which influence safety work behaviorsignificantly. Observation executed by 80 respondents, the model used multivariate linierregression. The result obtained that knowledge variabel and protective personal equipmentare significant. Meanwhile, perception and communication are not significant. Finally, modelof safety work behavior found two variables such worker’s knowledge and protectivepersonal equipment which determination coeficient of model is 15.9%.
Pengukuran Kepuasan Kerja Karyawan APLP & A PT Semen Padang (PT X) Shelly Nolandari; Henmaidi; Alizar Hasan
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v14.n2.p204-225.2015

Abstract

Thoughts on employee satisfaction arise because the company believes its employees have a high level of satisfaction will result in a better level of productivity, work more accurate, the fewer the number of absences and higher loyalty than employees with low satisfaction levels.Company's with good productivity will grow and increase revenue. PT Semen Padang has several subsidiaries and affiliates like PT X. PT X will measure employee satisfaction with the company's expectations are always making changes that sustainable about employee satisfaction because companies believe that employee satisfaction level of its high yield levels better productivity, work more accurate, the number of absences are fewer and loyalty higher than employees with low satisfaction levels. Companies with good productivity will experience growth as indicated by the increase in revenue, in line with the increase in the welfare of the employees. PT Semen Padang has several subsidiaries and affiliates PT X. PT Xwill measure employee satisfaction with the Company's expectations.
Perancangan Purwarupa Sistem Pengendalian Kualitas Pengukuran Dimensi Produk Terotomasi Ikhwan Arief; Rahmat Fajri Fajri
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v14.n2.p217-226.2015

Abstract

The production process is one of the several main activities in industries. The process followed by quality control to achieve expected final products. Products' conformities to design specification can be achieved through direct measurement. However, not all measurements can be done directly while the process is running. Inconformities to product's design specification could result in unfunctional or rejected products. This will render producers into losing their profits. Technology plays a major role in simplifying products' measurement processes. Advancement in technology made it possible to automate measurement processes and will also make it possible to do during the production process in achieving expected quality control as early as possible. The quality control yield measurements in products'lengths, widths and depths/ heights which will control products' dimension and generate quality control chart. The proposed prototype will allow measurements of product dimension and data acquisition directly during the process without disrupting on going processes.
Usulan Strategi Pengembangan Industri Pengolahan Kelapa Skala IKM di Kabupaten Indragiri Hilir Khairul Ihwan; Nilda Tri Putri; Jonrinaldi
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v14.n2.p227-237.2015

Abstract

The majority of the population in Indragiri Hilir (Inhil) already rely on palm plantations as the main income. They have already sold in the form of coconut oil and copra round with a relatively low price and is unable to provide a decent life. It is increasing because of the low level of productivity of coconut plantations and commercial systems that are less profitable for farmers. While in other areas of the coconut is a commodity that can be processed into a wide range of high-value products with simple technologies that can be done by small and medium industries. So, we need development strategies IKM-scale oil processing industry which is able to increase the income of coconut farmers in the district of Inhil. Based on the results of research conducted by the method of SWOT analysis produced 23 alternative strategies of the development of the SME scale oil processing industry in Kabupaten Inhil ie three strategies from SO, nine strategies from WO, seven strategies from ST, four strategies from WT. Based on the results of the weighting using Analytical Network Process (ANP) on any alternative strategy, Strategy SO-2 namely "Guaranteeing the purchase of products manufactured by the community or the SME by the government and the government must provide the processing industry continued to improve the quality standards that prompted the market to products produced by the community/SME "is a priority under the development strategy of IKM-scale oil processing industry in the District Inhil.
Penentuan Interval Waktu Perawatan Komponen Kritis pada Mesin Turbin di PT PLN (Persero) Sektor Pembangkit Ombilin Taufik; Selly Septyani
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v14.n2.p238-258.2015

Abstract

Electrical energy requirements in Indonesia annually increase in line with economic growth and an increase in population. So, PT PLN (Persero) have to be able to fulfill the public demands for electrical energy. One of the power generation existed is Steam PowerGeneration. The condition of power generation depended on the maintenance, so, well maintenance made power plant operated at ease condition. Production process in SteamPower Generation of Ombilin used a closed cycle or continuous process. If a machine or an equipment damaged, it will stop the whole function. In the production process, the company involved several main engines are boiler, turbine, condenser, and generator. But the damage often occurs in turbine engine which caused the generation power in Steam PowerGeneration of Ombilin can not operate. Therefore, it needs a maintenance action of machinery/equipment to be able to prevent the damage. The right strategy to keep the engine operating is determining the optimal maintenance interval of equipment for minimizing downtime.The stages of this research begin by determining the critical engine with Criticality Analysis method. Then, the determination of the critical components using Pareto diagram. Then, the determination of the probability density function (pdf) and the reliability of critical components. After that, the determination of maintenance intervals of the critical components by using the criterion of minimizing the downtime that will be used to make maintenance scheduling.Based on the processing data has been done, it was found that the critical engine is a turbine engine with a total value is 44 and the critical components of a turbine engine are membrane turbine, bearing and turning gear with the examination time interval for each critical component are 960.48 hours (40 days), 908.57 hours (37 days) and 1150.28 hours (48days). While the preventive replacement intervals for components of turbine membrane is after operating for 3410 hours, the replacement for bearing components can be carried out during overhaul after operating for 8000 hours and the replacement intervals for components of turning gear is after operating for 4500 hours. The reliability values for each critical component before and after preventive maintenance remains the same, but the value of downtime on each component decreases. The total values of availability for each critical component exceeds 95%.
Algoritma Heuristik untuk Menentukan Biaya Crashing Minimum pada Project Network dengan Dua Jalur Kritis: Studi Kasus Proyek Produksi Electrical House oleh PT X Berry Yuliandra; Rini Syahfitri
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v14.n2.p259-278.2015

Abstract

PT X is a company engaged in the production of the module, ship relay station (Electrical House)as well as oil and gas mining equipment. The company uses a project-based production system in the production process of that equipment. Type of project usually performed is the Engineering-Procurement-Construction (EPC) project. EPC is a type of project that involves process engineering, material procurement, and products construction. PT X main product is a module or electrical house (E-House). Activities can be disrupted by a variety of conditions in the project implementation phase, such as weather and other unforeseen events. These conditions can hamper the process and affect the performance on the field.Activity scheduling and load out process which often suffer from delays caused project deadlines are often past the limit is given by the client. As in the case of E-House project examined in this study, its implementation has been delayed and should be accelerated for 8days. Therefore, the crashing project can greatly assist in adjusting the implementation plan with the actual condition. Crashing project analysis conducted based on project network diagram. The critical path is determined using Critical Path Method (CPM). Based on analysis results, project execution time can be shortened up to 8 days earlier. (From the normal time of 94 days to 86 days) at the cost $ 4.203.093,25.
Pengurangan Bullwhip Effect dengan Metode Vendor Managed Inventory Fenny Rubbayanti Dewi; Annisa Kesy Garside
Jurnal Optimasi Sistem Industri Vol. 14 No. 2 (2015): Published in October 2015
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v14.n2.p292-298.2015

Abstract

Information distortion caused PT Multi Sarana Indotani got higher demand than the distributor. Demand variability in each echelon of the supply chain (bullwhip effect) may occur due to lack of demand stability that the producer had difficulty in determining the amount of production. One of the collaboration methods that can be applied to overcome the information distortion as causes of the bullwhip effect is vendor managed inventory, where the needs of distributor and retailers monitored and controlled by the producer. In this case, vendor managed inventory applied to two echelons, producer, and distributor.

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