Articles
<![CDATA[Evaluation Setup Process on Rotogravure Printing Machine in Oder to Reduce Setup Time ]]>
<![CDATA[Wirakusuma, Kadex Widhy]]>;
<![CDATA[Singgih, Moses Laksono]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2019i5.6408
<![CDATA[The company carries out various ways to be able to meet customer demand quickly, one of which is to speed up the production process. In the printing process, the company encountered a problem, one of which was the high downtime caused by the setup process. The standard setup time determined by the company is 150 minutes but in fact the time required is 211.33 minutes. This shows that there are inefficient methods applied by the company. In this study, we will evaluate the work method to get errors so that the setup duration becomes high. This study will draw on the Modified Cooper Harper Scale and Single Minute Exchange of Dies (MCH-SMED) method to balance the workload between operators so that the setup time can be reduced. The MCH method is used to analyze the mental and physical workload on an operator based on a tree decision scale so that it can balance the workload between operators. SMED is used to identify on-line and off-line operations in the setup process. This study aims to produce a comparison of the standard setup times that have been set by the company and after evaluating the integration process of printing machine setup (MCH-SMED). The results of this study are to obtain a new sequence of operations that can reduce the duration of setup time to 143.19 minutes or be able to reduce the setup time by 32%]]>
<![CDATA[Risk Defect on Du Base Frame Product ]]>
<![CDATA[Adriyadhi S, Agyl]]>;
<![CDATA[Singgih, Moses Laksono]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2019i5.6373
<![CDATA[During the production process DU base frame product has been found quite a defect occurrence. Defects occurring during the production process of course affect the cost, time and quality of the product production of PT. X, so it is required a handling to overcome the risk of defects that occur so that the product is free from the risk of defects that do not and improve product quality. The method that can overcome the problem above is to predict the risk of product defect by designing a risk management process framework. The risk management planning process is a stage identifying the risk of defects that have occurred or the risk of malformed defects occurred and then conducting a risk-defect analysis, then evaluating the risks of such defects and risk treatment and Monitoring and review. There are also tools and methods used in this risk management study are fishbone and FMEA. Fishbone is used as a tool as a method to cause identification while FMEA is used in risk analysis to determine risk priority number (RPN). From RPN defects that have the highest value will be taken risk evaluation and risk treatment to prevent the same defect. With this research in hopes of the results of quality, cost and production time in DU Base Frame products can remain consistent and give rise to the awareness of the personnel involved in the product manufacturing process. From risk mitigation results found there are 4 out of 56 risk cases that belong to the high-risk category in the process of milling (RPN 288), blasting (RPN 288 & 224) and painting (256). These risks are then conducted advice on the improvements that are discussed with the team and the costumer and the result of defects that occur reduced even eliminated. The importance of the detailed procedures and the awareness of each personnel involved becomes one of the keys to avoid risk in the production process of a product]]>
<![CDATA[Cost Analysis for IoT Based Condition Based Maintenance to Increase Productivity ]]>
<![CDATA[Dewanti, Dewanti]]>;
<![CDATA[Singgih, Moses Laksono]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2019i5.6389
<![CDATA[Condition Based Maintenance (CBM) is one of maintenance method that believed to be the most effective at reduction of cost and number of activities than the other maintenance methods. Degradation monitoring condition is an important things in order to get effective CBM system. The rapid development in information and communication has lead our industrial phase to industry 4.0, where are lot of smart objects can be connected and integrated in one network system, which is called Internet of Things (IoT). IoT facilitates monitoring and controlling to an object, and help maintenance system to monitor, record, and analyze the degradation of the object. Furthermore, with real time monitoring, system could detect and make decision when is maintenance activity should be done with consideration in cost. This research focused in the issue of integration of many smart objects to support CBM activities in cost reduction and IoT decision making with cost minimization as criteria. Cost analysis has been done using Activity Based Costing (ABC) and mathematical model has been constructed for decision making criteria which will be tested with numerical test using the data that gathered from company which applied IoT system. There are three condition which are tested: system without IoT implementation, current system with IoT implementation (auto shutdown when machine stroke reaches 300), and IoT system that consider the degradation condition to shut down. The result shows that IoT based CBM system that consider degradation level will incur optimal number of activities which resulting in fewer cost that the other systems. With fewer activity maintenance than auto-shutdown at 300 strokes, shows that the productivity increase without any delay due to maintenance]]>
<![CDATA[Business Strategy of Chemical Company Using SWOT and Business Model Canvas Approach ]]>
<![CDATA[Haq, Ahmad Irwiyan]]>;
<![CDATA[Singgih, Moses Laksono]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 5 (2019): The 1st International Conference on Business and Management of Technology (IConBMT) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2019i5.6192
<![CDATA[Chemical business in water treatment has a potential growth in the future. Currently, PT A is a chemical company who leads market share in Indonesia compared to other competitors. Within next ten years, PT A should keep this level of competitiveness and improve the level of market share. Therefore, indispensable to analyze the business strategy in order to be ready to face upcoming competitiveness and opportunities. Analysis of strategy is conducted by SWOT approach. From this SWOT analysis, Internal Factor Evaluation (IFE) and External Factor Evaluation (EFE) matrix then took place to review this SWOT result. Furthermore, Business Model Canvas method is used to discuss more detail in every single block. During using Business Model Canvas, company representative is invited in Focus Group Discussion. Business Model Canvas is selected in this research due to it has comprehensive analysis about the nine variable that company running the business. From this research, it is known that company place at quadrant I of SWOTÂ diagram. IFE and EFE score is 3.54 and 2.40, respectively. This score plots at zone IV, which means Grow and Build, in IFE-EFE matrix. These result then become an input for BMC mapping. Improvement of BMC then recommended for key resources, key partnership, key activities dan channels. Strategy generated from this research then will be a recommendation to the management. Besides, this research also become a motivation for the researcher because so far there is no particular strategy development for water treatment business in power plant based on academic point of view]]>
<![CDATA[Implementation Lean Manufacturing Method of Plywood Manufacture Company ]]>
<![CDATA[Koh, Jastine]]>;
<![CDATA[Singgih, Moses Laksono]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 2 (2020): IConISE & ACISE 2020 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2020i2.9022
<![CDATA[The Plywood company in this study was able to produce 6,000m3/ year of plywood, but during 2018 and 2019 this company was only able to provide 2,905.14 m3/year and 1,120.73 m3/year. Production in 2018 and 2019 is far below the production capacity. This research will apply the lean manufacturing concept in the production process of a plywood company. This research uses value stream mapping (VSM), value stream analysis tools (VALSAT), process activity mapping (PAM), Pareto diagrams, and root cause analysis. It is found extreme categories that occur in many processes, namely processing production and inventory. The recommendations given are to reduce employees and provide adequate storage. The future state VSM shows that a change in a lead time of 68%, and the reduction of the production process is 248.18 minutes.  ]]>
<![CDATA[Multicriteria Analysis to Determine Locations of Restaurant Branch Using Bayesian Network ]]>
<![CDATA[Fauzia, Nilna]]>;
<![CDATA[Singgih, Moses Laksono]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 1 (2020): The 1st International Conference on Business and Engineering Management (IConBEM) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2020i1.10859
<![CDATA[To determine a strategic restaurant location, a company has to consider several location criteria. Location criteria is divided into two perspective, namely customer perspective and management perspective. The purpose of the consideration of restaurant location criteria are to attract customer to come in so could obtain maximum profit for the unit business. Every restaurant has different location criteria, that is influenced by market segmentation of restaurant and business strategic of the company. The aim of this research is to learn about general restaurant location criteria, investigate specific restaurant location criteria, and do an assessment to obtain appropriate location alternative. Specific restaurant location of this research is location of Ayam Geprek “AG†Restaurant. This research use Bayesian Network Method to process probability of the criteria. This research obtain the data from questionnaire to management and potential customer Ayam Geprek “AG†Restaurant. The questionnaire consist of two steps, the first step is choices for Ayam Geprek “AG†criterion restaurant. The second questionnaire is about level of importance assessment every location criteria. There are three alternative location that will be rated based on the Ayam Geprek “AG†criteria. The result for the appropriate alternative is third alternative which are located in west Surabaya and has total score 18.11.]]>
<![CDATA[Lean Mining Analysis in Gold Mining Use Waste Assessment Model ]]>
<![CDATA[Indriyani, Liga]]>;
<![CDATA[Singgih, Moses Laksono]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 1 (2020): The 1st International Conference on Business and Engineering Management (IConBEM) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2020i1.10853
<![CDATA[This research identifies non-value added activities and minimizes waste in the production process at a gold mine. Problems that occur include the presence of waste defects in the form of choke ore materials, mismatches in dore bullion printing, and equipment damage. Then the waste waiting caused by low-level bin ore and the presence of ponding during leaching. In addition, there is also waste over processing in the form of carbon regeneration and transportation processes in the form of altered and distant ore transportation distances. The occurrence of waste can be reduced/eliminated using the Lean Mining approach which is a method to streamline the process by eliminating/reducing the presence of waste in the mining process. Identify waste using the Waste Assessment Model (WAM) tools. The results of the analysis show that the highest waste rating is a defect, motion, waiting, and process with successive percentages of the largest i.e. 20.75%, 18.42%, 17.57%, and 14.36%. From these results then recommendations for improvements that can be proposed are controlling the size and composition of ore-sized mixtures, increasing the efficiency of the crusher using TPM analysis, optimizing maintenance, making machines/systems automatically filling gold solutions, and making standardized work]]>
<![CDATA[Application of Lean Thinking in Reducing Turn Around Time on the Quality Control Process at Nickel Processing Plant ]]>
<![CDATA[Sagita, Pendra]]>;
<![CDATA[Singgih, Moses Laksono]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 6 (2020): 6th International Seminar on Science and Technology 2020 (ISST 2020) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2020i6.11089
<![CDATA[This work presents a case study focused on reducing the turn around time in the quality control process at Nickel processing plant, using Lean Thinking tools. The Nickel industry, the process is drying, reducting, smelting, and converting. This process needs to be controlled to get the optimal result, and the process needs to be controlled quickly. So the analysis data must be generated in a short time. They are recording time and activities from sampling until reporting the data carried out to analyze the current situation using value stream mapping to identify the main problem, such as high waiting times. The root cause of the main problem is sought by using the fishbone diagram and given an improvement suggestion according to the origins of the problem. The application of these improvements can reduce the analysis time in the quality control process by 98.52% of the total cycle time.]]>
<![CDATA[Quality Improvement Program for Colocation Data Center Services Using Quality Function Deployment (QFD) ]]>
<![CDATA[Jiyi Nur Fauzan]]>;
<![CDATA[Moses Laksono Singgih]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 3 (2020): International Conference on Management of Technology, Innovation, and Project (MOTIP) 2 ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2020i3.11199
<![CDATA[When a product is launched, it's always been expected by the company that the product is going to be sold out in the market. But, after three years of selling XYZ colocation data center services, the sales of this product still hasn't achieve its target. Therefore, an evaluation is needed to know how costumers value the product in the market and what's needs to be done to improve its value. XYZ Data Center Management has conducted a preliminary analysis through discussion with customers, a comparative study with competitors, and discussion with internet service provider association. It's concluded that there is quality in XYZ Data Center, both in features and services that don't satisfying enough. Further analysis then conducted with Quality Function Deployment or QFD as a research method. The reason behind the use of QFD is because of its ability to identify what customers want, and translate it into the company's need in terms of technical responses. The result obtained from this research is the attributes that customers need and the technical responses required to answer it. Examples of attributes are the availability of the working room, the availability of site visit procedure, the accuracy of time needed for installation, etc. And for technical response, the examples are making a portal for trouble handle monitoring in integration with a call center, an improvement on IT Hall layout building a portal for installation monitoring, etc.]]>
<![CDATA[Quality Control of Ink Bottles in Efforts to Control Defect Products in Candi Plastik Home Industry ]]>
<![CDATA[Tri Ilma Sari]]>;
<![CDATA[Moses Laksono Singgih]]>
<![CDATA[ IPTEK Journal of Proceedings Series No 1 (2020): The 1st International Conference on Business and Engineering Management (IConBEM) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/j23546026.y2020i1.10860
<![CDATA[Quality is one of the most important things in terms of competition between companies. Products that are not of quality will be rejected. Many home industries lose competitiveness in terms of quality, it could be due to inaccurate machining. This causes a lot of product defects. A dozen years this home industry was established, but has not yet met the minimum target defect target of products set by consumers. Quite a lot of products have to be replaced and reworked. So we need a tool to control quality and detect the causes of product defects and then repair the cause. Seven tools are the seven basic tools that are able to solve the quality problems faced by production. Failure Mode Effect Analysis (FMEA) is a tool to detect the causes of production failures. The application of these two tools is expected to be able to control quality, meet the minimum specifications of consumers, detect the causes and correct the causes, increase productivity, reduce losses, and increase consumer confidence. The results of this study are seven tools and FMEA able to control product defects, the percentage of product defects produced by 22.5%, the cause of product defects is caused by 4 factors namely machinery, humans, methods, and raw materials. Whereas based on FMEA analysis, the main cause of product defects is the machine, and proposed control settings of the machine.]]>
