IPTEK Journal of Proceedings Series
IPTEK Journal of Proceedings Series publishes is a journal that contains research work presented in conferences organized by Institut Teknologi Sepuluh Nopember. ISSN: 2354-6026. The First publication in 2013 year from all of full paper in International Conference on Aplied Technology, Science, and Art (APTECS). It publish one time a year after the held of APTECS event.
Articles
1,079 Documents
<![CDATA[Oil Prices Sensitivity to The Power Supply Procurement Project at PT PEP Sukowati ]]>
<![CDATA[Pangestu, M. Agus]]>;
<![CDATA[Utomo, Christiono]]>;
<![CDATA[Ahyudanari, Ervina]]>
<![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.y2020i3.11207
<![CDATA[This study intends to determine the sensitivity of changes in oil prices to investment in power supply projects from the financial aspect. The investment analysis conducted is an evaluation of Net Present Value (NPV) using the production sharing contract (PSC) model with a profit sharing system. Based on the analysis conducted, the sensitivity of changes in oil prices has a very significant effect on the project NPV. Changes in oil prices by 60% from the base case to US $ 80 caused NPV to rise by 183%. But on the contrary if the price of oil touches the figure of US $ 20 or -60% from the base case, it will make the NPV negative, so the project is not economical to proceed. In addition, it know that the acceptance limit of investment in power supply projects is at oil prices greater than US $ 34 per barrel. This significant change in both the decline and increase in oil prices to the NPV is very logical because oil prices determine the amount of revenue earned from this project.]]>
<![CDATA[Reliability Analysis and Economic Life Calculation for Asset Management Optimization (Case Study in Steam Power Generation Unit at XYZCompany) ]]>
<![CDATA[Anugrah, Gede Bayu]]>;
<![CDATA[Suef, Mokhamad]]>
<![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.y2020i3.11200
<![CDATA[In a competitive market driven industry at a power generation business, requires The electricity producers to provide electricity with a low cost of supply. On the other hand, the large number of equipment assets managed by the power plant companies requires an appropriate asset management process, in order to reduce the increased maintenance and investment costs of equipment which which can cause an increase in the cost of supply. XYZ Company as a company that manages assets of more than Rp 174 trillion has challenges in the process of optimizing its company's asset management. The decreasing amount of maintenance and investment budget in the company each year and the equipment conditions that have been operated for more than 20 years, requires an asset management method that can provide a comprehensive understanding of the technical and economic conditions of each equipment, so it can be provide appropriate information to support the decision making process that is expected to reduce cost of supply.In this study, the authors conducted an analysis of asset conditions at XYZ Company by combining the method of reliability analysis and calculation of the economic life of the equipment. Case study was conducted at one of the units at XYZ Company precisely in Steam Turbine Unit 2.0. The purpose of this study is to obtain comprehensive information including the value of reliability and economic life of each equipment in the unit to facilitate management in the decision making process for the selection of maintenance strategies and asset replacement.Reliability analyzes were performed using RBD, RGA, and Weibull software. Reliability calculation will be done by looking at the amount and time between damages. Economic life calculation is done by calculating the annual equivalent cost. The analysis was performed on each equipment in the Steam Turbine Unit 2.0. From this analysis, it’s resulted the procedure for the classification of power plant equipment for the replacement process in accordance with the limits of the parameters of the reliability index and economic lifereliability and economic life conditon. Moreover, It’s resulted the mapping of Steam Turbine critical quipment. This mapping illustrates the amount of equipment that must be replaced immediately, still maintained, and the maintenance strategy needs to be evaluated immediately. This information is used by management in deciding the evaluation of equipment maintenance strategies and replacement strategies to reduce the power plant cost of supply.]]>
<![CDATA[Beef Supply Chain Analysis to Improve Availability and Supply Chain Value Using System Dynamics Methodology ]]>
<![CDATA[Anaking, Purnama]]>;
<![CDATA[Suryani, Erma]]>
<![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.y2020i6.11098
<![CDATA[The research focuses on beef commodity where beef demands data continue increasing proportionate or in line with increasing population, national per capita income, and the needs of industrial foods process materials. On the other hand, domestic beef supply tends to decrease so it can’t meet domestic demand. Furthermore, there are problems with fulfilling supplies to the end customer. The effort in solving the problems by improving the supply chain process using a model-driven decision support system, to model the existing system and build new scenarios to increase beef supply chain performance. The model-driven decision support system approaches using a system dynamics model to accommodate key variables or parameters that significantly contribute to the continuity strategic beef supply chain. The results showed a policy scenario with success indicators in the form of optimizing average beef weight values to 300 kgs per cattle and with carcass percentage value at 55% life weight, projecting deficit beef values decreasing in each year. At 2027 deficit value becoming small which is 8,520 tons, which ends up becoming surplus in 2028. The results of the model-driven decision support system output scenario can be functioned as input to the decision-maker to elaborate policy process related to the beef's food sector to achieve food self-sufficiency which one of the government missions.]]>
<![CDATA[Performance Optimization of Gas Turbine Generator Based on Operating Conditions Using ANN-GA at Saka Indonesia Pangkah Ltd ]]>
<![CDATA[Risma Yudhanto]]>;
<![CDATA[Totok Ruki Biyanto]]>
<![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.y2020i6.8901
<![CDATA[A Gas Turbine is a rotary engine that extracts energy from a flow combustion gas. The reliability and efficiency of gas turbines are one of the top priorities at Saka Indonesia Pangkah Ltd (SIPL). In order to optimize the operating conditions of a gas turbine, three components are needed. First is the problem formulation which consists of objective functions, problem boundaries or constraints, and determination of optimized variables. The second component is a valid model, which represents the characteristics of a gas turbine installed in SIPL. The third component is the optimization technique that is suitable with the optimization problem that will be solved. In this paper, the objective function is maximizing gas turbine efficiency, some operational limitation as constrains by manipulating air to fuel ratio. The model was developed using Artificial Neural Network (ANN) and Genetic Algorithm (GA) was selected as the stochastic optimization technique to solve the problem. The neural network model created directly using the operational data from an actual parameter gas turbine generator. The data needed for ANN-based modeling is around 8150 data sets that will be used to train and validate the ANN model. Variable data sets were divided in two parts, for training purposes is 87.5% and for validation is 12.5%. Weight management for neural networks was carried out using Levenberg-Marquardt algorithm which could give good results with RMSE = 7.3 X 10-3. From the results of the stochastic optimization (GA) simulation, the potential reduction of fuel gas consumption is around 280.8 kg/hr if the air mass flow can be increased from 2.4 kg/s to 2.7 kg/s or efficiency increase up to 10.6%.]]>
<![CDATA[Enabling Inclusive Development Concept in Marginalized Settlement Community (Case Study: Kampung Jodipan, Kota Malang) ]]>
<![CDATA[Kurniasari, Merisa]]>;
<![CDATA[Hayati, Arina]]>;
<![CDATA[Setijanti, Purwanita]]>
<![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.y2020i6.11155
<![CDATA[The era of democratization requires city leaders to change the development paradigm to be inclusive. This is stated in goal number 11 of the SDGs document, "making cities and human settlements inclusive, safe, resilient, and sustainable", so this study tries to look at the concept of inclusiveness in the scope of settlements, especially in marginal settlements. This study takes place in marginal settlements in the Brantas watershed as Kampung Jodipan which was once a slum settlement but now has been transformed into a Kampung tourism. This openness applies the principle of inclusiveness of the Kampung Jodipan. The data of this research were analyzed with descriptive statistics using Factor Analysis and Cross Tabulation, then the data was validated using triangulation analysis. This study aims to highlight the experience of Kampung Jodipan as a marginal settlement that has succeeded in improving Kampung. It was found that the inclusiveness dimensions in Kampung Jodipan were social inclusion and physical inclusion. Socially, the embodiment of the inclusiveness can be seen through the trust of the community and involving the residents in various activities. Meanwhile, the concept of spatial inclusiveness is manifested with the inclusion of basic infrastructure as a means of meeting the daily needs of citizens.]]>
<![CDATA[Customer Perceived Service Quality, Product Quality, Satisfaction and Loyalty in Beauty Business ]]>
<![CDATA[Restiana, Lisa]]>
<![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.y2020i1.10858
<![CDATA[In the hyper competitive and low entry barrier in beauty industry, customer loyalty is critical factor for gaining success for the company. The customer loyalty and satisfaction are key of success factor for strengthen bussiness performance. By creating and preserving customer loyalty, business entities can develop a long term relationship with the customers. The purpose of the research is to know further the determinant of customer satisfaction and loyalty from service quality and product quality. This study is designed by qualitative research by using theoretical review based and supporting by previously research. The basic concepts underlyed this theoretical review are dimensions of service quality, product quality, customer satisfaction, and customer loyalty. By critical review and classifying the result of previous research, this research found some propositions: (1) Service quality have significant effect on customer satisfaction (2) Product quality have significant effect on customer satisfaction (3) Service quality have significant effect on customer loyalty (4) Product quality have significant effect on customer loyalty (5) customer satisfaction have significant effect on customer loyalty.]]>
<![CDATA[Integrated Transportation – Inventory Model for Outbound Logistics Optimization Hajariyah Agustina and Budi Santosa Departemen of Management Technology, Institut Teknologi Sepuluh Nopember (ITS), Surabaya e-mail: hajariyah.agustina@gmail.com of Cement ]]>
<![CDATA[Agustina, Hajariyah]]>;
<![CDATA[Santosa, Budi]]>
<![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.y2020i1.11329
<![CDATA[In the cement industry, supply chain management has an important role in determining competitiveness from inbound logistics to outbound logistics. PT X is the largest cement company in Indonesia with market share about 53% in 2019. The Company’s key strategy is supply chain optimization to achieve logistics and transportation cost efficiency and also prioritizing service level to meet customer needs. Outbound logistics optimization in PT X can be approached with the Integrated Transportation-Inventory (ITI) model. ITI is a model that integrates transportation and inventory decisions. In addition, ITI can also determine inventory levels, production quantities and backorder decisions. The application of ITI at PT X case study is categorized as multiple to multiple supply chain configurations, transshipment, multi-period, multi-product, allowing for back orders, and deterministic demand. The results of simulations of ITI models can be used as a basis sales planning and production. In this research, the ITI model solved with simplex solver method on Lingo 18, which has features to improve computational processes of a large scale cases. The development of the ITI model in optimizing outbound logistics at PT X provides efficiency and effectiveness of distribution strategy to meet customer demand. Simulation results show that optimization of outbound logistics using the ITI model is able to save costs by 1.86% (worth 117 billion) compared to existing conditions.]]>
<![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[Vibration Spectroscopy Potential for Beef and Pork Determination ]]>
<![CDATA[Syahputra, Muhammad Yudha]]>;
<![CDATA[Juniawan, Alvin]]>;
<![CDATA[Suprapto, Suprapto]]>;
<![CDATA[Kurniawan, Fredy]]>
<![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.y2020i6.11123
<![CDATA[Meat is one of the most foodstuff consumed. The increasing consumption of meat had led some traders to falsify the identity of meat for gaining profit. The meat adulteration case that often occurs is substituting the beef with pork. This adulteration case is very detrimental to consumers, therefore a method to identify the type of meat sold is very necessary. The vibration spectroscopy method, Fourier Transform Infra Red (FTIR), had been developed to analyze the type of beef and pork. The FTIR measurement was carried out with cut raw meat samples without further preparation. The Data obtained from the measurement are infra-red spectrum from beef and pork from 4000-500 cm-1 wavenumber and then the data was analyzed with Principle Component Analysis (PCA) statiscticall method. Projection result with PCA obtained data reduction that can represent all data generated from measurements shown through the Principle Component 1 and Principle Component 2 regions. Based on those projection, beef and pork profile area can be classified properly.]]>
<![CDATA[Analysis and Control for Heavy Equipment Spare Parts Inventory in the Nickel Mining Industry ]]>
<![CDATA[Pardede, Sri Rahayu]]>;
<![CDATA[Vanany, Iwan]]>
<![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.y2020i6.11146
<![CDATA[In the mining industry, analyzing, and controlling the spare parts inventory is important activities and need special attention from the company. The high production cost of the mining industry, including spare parts and shortages costs affects the financial and operational aspects of the company. Spare parts inventory management policy is critical to increase the service level and minimize spare parts cost. In this mining case study, the out of stock incidents in the heavy equipment spare parts were often occurring and significantly affecting the performance of maintenance and operations. The purpose of this study is to determine minimum stock (safety stock) and maximum stock to reduce overstocks and reduce the number of stocks out in spare parts inventory and as well as inventory cost. The method used to solve the problem is economic order quantity (EOQ) and continuous review control (S, s) to determine the minimum and maximum stocks. Determining the combination of S and s has a major impact on the success of inventory control. Substitution parts are subdivided into alphabetical values to determine their significance. As a result of calculating inventory value using EOQ and S, s will get the highest inventory value to reduce inventory costs.]]>
