The most prominent element contained in this universe is Hydrogen. The energy density of nearly three times that the gasoline will become alternative energy for the future, especially for large-scale needs. Indonesia is an archipelago country where 2/3 of it is water. Water can separate the H2 and O2 elements through an electrolysis process with a purity level above 99%. Indonesia is also awarded as a tropical country where the sun shines all year round. And the electrolysis process can use this free energy to separate the Hydrogen and Oxygen. This paper will inform the results of a combination model research between photovoltaic and Hydrogen production systems to produce Hydrogen gas in a pressure cylinder every 10 m3 with the pressure is 30 bar. Simulate each model in certain areas on Java Island. Then calculate the photovoltaic models based on the hourly irradiation rate throughout 2019. The average electricity consumption required for the calculation of H2/kg production is 49 kWh. While the measures for the LCOH sensitivity analysis use 4.1-4.75 kWh/Nm3 or 46.3-52.8 kWh/kg. The Hydrogen economy is the ultimate goal from this research that the optimal model design selection with a discount rate of 10% and a lifetime of 25 years is the primary consideration. The modeling results show that the fourth model (RPV 10 MW Banjaratma) is the most optimal in producing Hydrogen in terms of CAPEX/kW, Opex/kW/year, Power Consumption, LCOH, Income, and Residual Value/kW after 25 years running.
{"title":"Optimization of Combined Photovoltaic with Hydrogen Production System by Electrolysis - Comparison Between Floating and Rooftop PV in Java Island","authors":"Heri Dwi Dwi Sulistyo, Arzil Harsya, Abeth Novria Sonjaya, B. Priyono","doi":"10.1145/3468013.3468658","DOIUrl":"https://doi.org/10.1145/3468013.3468658","url":null,"abstract":"The most prominent element contained in this universe is Hydrogen. The energy density of nearly three times that the gasoline will become alternative energy for the future, especially for large-scale needs. Indonesia is an archipelago country where 2/3 of it is water. Water can separate the H2 and O2 elements through an electrolysis process with a purity level above 99%. Indonesia is also awarded as a tropical country where the sun shines all year round. And the electrolysis process can use this free energy to separate the Hydrogen and Oxygen. This paper will inform the results of a combination model research between photovoltaic and Hydrogen production systems to produce Hydrogen gas in a pressure cylinder every 10 m3 with the pressure is 30 bar. Simulate each model in certain areas on Java Island. Then calculate the photovoltaic models based on the hourly irradiation rate throughout 2019. The average electricity consumption required for the calculation of H2/kg production is 49 kWh. While the measures for the LCOH sensitivity analysis use 4.1-4.75 kWh/Nm3 or 46.3-52.8 kWh/kg. The Hydrogen economy is the ultimate goal from this research that the optimal model design selection with a discount rate of 10% and a lifetime of 25 years is the primary consideration. The modeling results show that the fourth model (RPV 10 MW Banjaratma) is the most optimal in producing Hydrogen in terms of CAPEX/kW, Opex/kW/year, Power Consumption, LCOH, Income, and Residual Value/kW after 25 years running.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123344179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The oil and gas industry is one of Indonesia's vital industries, and it contributes the most to the country's foreign exchange. Piping is an important piece of equipment in the oil and gas production facilities; therefore, the piping inspection plan should be well prepared. An integral part of inspection plan development is a piping circuit; it allows an inspector to manage the necessary inspections, calculations, and better recordkeeping. A problem faced in piping circuit development is the need for relatively many working hours and variability results. Although this problem is often encountered, piping circuit development generated by manual work is still common in practice. To overcome the issues in the piping circuit development, therefore a k-prototype algorithm was introduced. A k-prototype algorithm was used to accommodate the shortcomings in grouping objects with features comprised of mixed categorical and numerical data. This study concludes that the k-prototype algorithm is a promising clustering technique that can reduce the time spent developing the piping circuit and eliminating the resulting variability.
{"title":"Piping Circuit Development using K-Prototype Clustering","authors":"Shinta Herlina Puspitasari, Arian Dhini","doi":"10.1145/3468013.3468390","DOIUrl":"https://doi.org/10.1145/3468013.3468390","url":null,"abstract":"The oil and gas industry is one of Indonesia's vital industries, and it contributes the most to the country's foreign exchange. Piping is an important piece of equipment in the oil and gas production facilities; therefore, the piping inspection plan should be well prepared. An integral part of inspection plan development is a piping circuit; it allows an inspector to manage the necessary inspections, calculations, and better recordkeeping. A problem faced in piping circuit development is the need for relatively many working hours and variability results. Although this problem is often encountered, piping circuit development generated by manual work is still common in practice. To overcome the issues in the piping circuit development, therefore a k-prototype algorithm was introduced. A k-prototype algorithm was used to accommodate the shortcomings in grouping objects with features comprised of mixed categorical and numerical data. This study concludes that the k-prototype algorithm is a promising clustering technique that can reduce the time spent developing the piping circuit and eliminating the resulting variability.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121329370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
By 2019, total Indonesia's greenhouse gas emission (GHG) amounted to 674 MtCO2e, with the energy sector as the largest contributor. Carbon capture and storage (CCS) technology is a promising alternative to reduce CO2 emission by capturing and storing the CO2 underground. However, the carbon market has undergone insignificant development as the CCS development level remains low. Acceleration of CCS development through better policies and regulation is critical to help achieving Indonesia's target to reduce GHG emission by 29% in 2030. Enhancing CCS development becomes one of the government goals. However, this goal is still arduous to achieve due to the complexity that arises in CCS development. CCS development is a complex system; uncovering such complexity could provide insights into factors that play significant roles and shed light on the possible policy options for better CCS development. Nevertheless, it is still less studied holistically from a systems perspective. This paper aims to analyze CCS development's complexity by developing a conceptual system dynamics model of CCS development in West Java as a case study. The conceptual model developed in this study has captured essential aspects of CCS development and identified three possible policy interventions to enhance the CCS development in terms of incentive, local site regulation, and environmental regulation.
{"title":"A Conceptual Model of CO2 Emission Reduction Using Carbon Capture Storage in West Java","authors":"Annis Nuraini, Andri D. Setiawan","doi":"10.1145/3468013.3468374","DOIUrl":"https://doi.org/10.1145/3468013.3468374","url":null,"abstract":"By 2019, total Indonesia's greenhouse gas emission (GHG) amounted to 674 MtCO2e, with the energy sector as the largest contributor. Carbon capture and storage (CCS) technology is a promising alternative to reduce CO2 emission by capturing and storing the CO2 underground. However, the carbon market has undergone insignificant development as the CCS development level remains low. Acceleration of CCS development through better policies and regulation is critical to help achieving Indonesia's target to reduce GHG emission by 29% in 2030. Enhancing CCS development becomes one of the government goals. However, this goal is still arduous to achieve due to the complexity that arises in CCS development. CCS development is a complex system; uncovering such complexity could provide insights into factors that play significant roles and shed light on the possible policy options for better CCS development. Nevertheless, it is still less studied holistically from a systems perspective. This paper aims to analyze CCS development's complexity by developing a conceptual system dynamics model of CCS development in West Java as a case study. The conceptual model developed in this study has captured essential aspects of CCS development and identified three possible policy interventions to enhance the CCS development in terms of incentive, local site regulation, and environmental regulation.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121473958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alprianto Zainuddin, Andri D. Setiawan, A. Hidayatno
The selection of an EPC Contractor in Procurement for Indonesia's electricity system faces several challenges, especially for strategic projects such as transmission and substations. The procurement of goods/services in the electricity sector considers several evaluation criteria such as technical experience, administrative requirements, prices, and how the provider has met the applicable provisions in Indonesia. This research aimed to design a conceptual model to determine the EPC Tender Process Criteria for Electricity Construction by using an experimental design approach to measure the value of the 4 (four) main criteria used in the evaluation and actual implementation of EPC contractors. This conceptual model included stakeholders involved as executors of tenders or policy-makers directly related to achieving organizational goals. The data processing method used the Multicriteria decision-making method (MCDM) such as the Analytic Network Process (ANP) and the Promethee Method.
{"title":"A Conceptual Model for Contractor Assessment System in the Electricity Project with Tender","authors":"Alprianto Zainuddin, Andri D. Setiawan, A. Hidayatno","doi":"10.1145/3468013.3468641","DOIUrl":"https://doi.org/10.1145/3468013.3468641","url":null,"abstract":"The selection of an EPC Contractor in Procurement for Indonesia's electricity system faces several challenges, especially for strategic projects such as transmission and substations. The procurement of goods/services in the electricity sector considers several evaluation criteria such as technical experience, administrative requirements, prices, and how the provider has met the applicable provisions in Indonesia. This research aimed to design a conceptual model to determine the EPC Tender Process Criteria for Electricity Construction by using an experimental design approach to measure the value of the 4 (four) main criteria used in the evaluation and actual implementation of EPC contractors. This conceptual model included stakeholders involved as executors of tenders or policy-makers directly related to achieving organizational goals. The data processing method used the Multicriteria decision-making method (MCDM) such as the Analytic Network Process (ANP) and the Promethee Method.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126053193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Overall Equipment Effectiveness performance in liquid soap line was 47.7% in 2020 where the OEE target in liquid soap line was 60%. This research will focus on eliminating waste to improve liquid soap line's OEE performance by analyzing waste using lean manufacturing tools. The methodology that used to solve this problem is by using WAM and VALSAT method combined with Six Sigma with DMAIC concept. In define phase, Value Stream Mapping was carried out to analyze the current condition in liquid soap line. Hereinafter, in measure and analyze phase, WAM and VALSAT was carried out to obtain the identification of waste and analyze the waste which causes low OEE in liquid soap line. This happens because of frequency of change over. Frequently changeover can lead low OEE due to production without output. The queuing of materials at the freight elevator is also the cause of low productivity. In the improvement phase, the author implement remapping product and production process redesign. After implementation, OEE increased from 47.7% to 55.5% and productivity increased from 96.7% to 97.9%. In control phase, the author suggests new total productive maintenance (TPM) as the control phase. EEM pillar was added to TPM to maintain performance monitoring process in liquid soap line.
{"title":"Improvement of Production Performance Using WAM & VALSAT Method in Liquid Soap Line","authors":"Andang Rikky Pradana, D. Ishak","doi":"10.1145/3468013.3468346","DOIUrl":"https://doi.org/10.1145/3468013.3468346","url":null,"abstract":"Overall Equipment Effectiveness performance in liquid soap line was 47.7% in 2020 where the OEE target in liquid soap line was 60%. This research will focus on eliminating waste to improve liquid soap line's OEE performance by analyzing waste using lean manufacturing tools. The methodology that used to solve this problem is by using WAM and VALSAT method combined with Six Sigma with DMAIC concept. In define phase, Value Stream Mapping was carried out to analyze the current condition in liquid soap line. Hereinafter, in measure and analyze phase, WAM and VALSAT was carried out to obtain the identification of waste and analyze the waste which causes low OEE in liquid soap line. This happens because of frequency of change over. Frequently changeover can lead low OEE due to production without output. The queuing of materials at the freight elevator is also the cause of low productivity. In the improvement phase, the author implement remapping product and production process redesign. After implementation, OEE increased from 47.7% to 55.5% and productivity increased from 96.7% to 97.9%. In control phase, the author suggests new total productive maintenance (TPM) as the control phase. EEM pillar was added to TPM to maintain performance monitoring process in liquid soap line.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"20 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133426561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Each stage of the supply chain must be able to maximize value to achieve supply chain profitability. Handling production planning and distribution planning as a part of the supply chain are carried out to obtain optimal strategies that increase efficiency and reduce the risk of supply chain network failure. Distribution cost problems in the fulfillment of raw materials affect the total production costs as a whole. This paper proposes an integrated production and distribution planning in a multi-site plants model, in order to obtain optimal profit from production in each plant in a different location. This model uses a raw material fulfillment multi-suppliers scheme through a mixture of internal and external sources. Mixed-integer linear programming method is used for model optimization by considering production capacity constraints, demand constraints, supply constraints, production costs, logistics costs, and product revenue. Analysis of various demand conditions was applied in the multi-suppliers scheme to see the sensitivity of the parameters.
{"title":"Optimization of Integrated Production and Distribution Planning In the Cement Industry with Multi-Site Plants Model","authors":"Fuadi Sejahtera, T. Zagloel, Z. Zulkarnain","doi":"10.1145/3468013.3468316","DOIUrl":"https://doi.org/10.1145/3468013.3468316","url":null,"abstract":"Each stage of the supply chain must be able to maximize value to achieve supply chain profitability. Handling production planning and distribution planning as a part of the supply chain are carried out to obtain optimal strategies that increase efficiency and reduce the risk of supply chain network failure. Distribution cost problems in the fulfillment of raw materials affect the total production costs as a whole. This paper proposes an integrated production and distribution planning in a multi-site plants model, in order to obtain optimal profit from production in each plant in a different location. This model uses a raw material fulfillment multi-suppliers scheme through a mixture of internal and external sources. Mixed-integer linear programming method is used for model optimization by considering production capacity constraints, demand constraints, supply constraints, production costs, logistics costs, and product revenue. Analysis of various demand conditions was applied in the multi-suppliers scheme to see the sensitivity of the parameters.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133368864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The industrial sector has a vital role in the economy. A large amount of industrial activity also affected environmental pollution significantly. An eco-industrial park (EIP) is an industrial strategy to reduce environmental pollution due to industrial processes. The development of eco-industrial parks aims to obtain a sustainable industry in achieving efficiency and effectiveness in using natural resources to adapt industrial development with the sustainability and preservation of environmental function and provide benefits to the community. To build an eco-industrial park, various criteria are needed to determine a suitable site to become an EIP. This paper proposes several site selection criteria that have been identify through literature and expert assessments that consist of distance, infrastructure conditions, economic, environmental and legal. Experts assessed the research through semi-structured interviews and questionnaires. This study's results could be valuable decision-makers and practitioners as a reference in the site selection of an EIP.
{"title":"Proposed Site Selection Criteria for Eco-Industrial Park in Indonesia","authors":"Cindy Malinda Uscha, Rahmat Nur Cahyo, F. Farizal","doi":"10.1145/3468013.3468634","DOIUrl":"https://doi.org/10.1145/3468013.3468634","url":null,"abstract":"The industrial sector has a vital role in the economy. A large amount of industrial activity also affected environmental pollution significantly. An eco-industrial park (EIP) is an industrial strategy to reduce environmental pollution due to industrial processes. The development of eco-industrial parks aims to obtain a sustainable industry in achieving efficiency and effectiveness in using natural resources to adapt industrial development with the sustainability and preservation of environmental function and provide benefits to the community. To build an eco-industrial park, various criteria are needed to determine a suitable site to become an EIP. This paper proposes several site selection criteria that have been identify through literature and expert assessments that consist of distance, infrastructure conditions, economic, environmental and legal. Experts assessed the research through semi-structured interviews and questionnaires. This study's results could be valuable decision-makers and practitioners as a reference in the site selection of an EIP.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123554549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The quantity of municipal waste (MSW) increases every year, which is caused by several factors, one of which is population growth. Currently, the municipal waste collection system is conducted by visiting several existing transfer stations (TS's). However, the number of existing TS's is not enough because it is not evenly distributed, which results in a large amount of waste being dumped along roads, rivers, and untreated land. we proposed an additional 200 TS's from 541 potential coordinate points with the p - median problem. Not only proposed additional TS's, we also propose to open 3 new landfills based on TS's cluster centroid. The plan we propose for the addition of this new landfill is because the government plans to move waste from Cipayung landfill to Lulut Nambo landfill which is not part of Depok city. The results of determining the waste collection route from the existing and additional TS's to the Cipayung landfill, that the current number of vehicles is as many as 112 units can collect the amount of waste disposed of in the Cipayung landfill in 2019 with a total travel distance 4.201.760 meters. The results of routing waste disposal to the new TPA based on the TS centroid cluster can reduce total travel distance up to 49%
{"title":"Optimization of Vehicle Routes, Location of Transfer Stations and Landfills Based on Geographic Information Systems in Depok City","authors":"Tb. Muhammad Khairul Anwar, K. Komarudin","doi":"10.1145/3468013.3468650","DOIUrl":"https://doi.org/10.1145/3468013.3468650","url":null,"abstract":"The quantity of municipal waste (MSW) increases every year, which is caused by several factors, one of which is population growth. Currently, the municipal waste collection system is conducted by visiting several existing transfer stations (TS's). However, the number of existing TS's is not enough because it is not evenly distributed, which results in a large amount of waste being dumped along roads, rivers, and untreated land. we proposed an additional 200 TS's from 541 potential coordinate points with the p - median problem. Not only proposed additional TS's, we also propose to open 3 new landfills based on TS's cluster centroid. The plan we propose for the addition of this new landfill is because the government plans to move waste from Cipayung landfill to Lulut Nambo landfill which is not part of Depok city. The results of determining the waste collection route from the existing and additional TS's to the Cipayung landfill, that the current number of vehicles is as many as 112 units can collect the amount of waste disposed of in the Cipayung landfill in 2019 with a total travel distance 4.201.760 meters. The results of routing waste disposal to the new TPA based on the TS centroid cluster can reduce total travel distance up to 49%","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121474702","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Erika Asihyanto Saputri, L. W. Suwarsono, A. Aisha, F. N. Nugraha
One of the obstacles faced by SMEs relates to manual data management. This situation also occurs in a food processing SME, in which customer and sales transactions data management were carried out using paper-based, so it was not organized and took a lot of time. This study aims to design a website-based sales monitoring system that can be used to store and process customer and sales data on these SMEs. In the early stages, the proposed sales monitoring business process was designed, which resulted in the addition of 13 activities. The proposed business process becomes an input in designing a sales monitoring system that uses the waterfall method. There are four types of users in this system: administrator, owner, marketing, and customers. Some of the features available in this system include customer registration, reporting of income and expenses, determining customer points, creating promotional agendas, and others. The result of this study can be helpful to store customer and sales transaction data easier and integrated for the SME.
{"title":"Design of Sales Monitoring System using Waterfall Method in a Food Processing SME","authors":"Erika Asihyanto Saputri, L. W. Suwarsono, A. Aisha, F. N. Nugraha","doi":"10.1145/3468013.3468313","DOIUrl":"https://doi.org/10.1145/3468013.3468313","url":null,"abstract":"One of the obstacles faced by SMEs relates to manual data management. This situation also occurs in a food processing SME, in which customer and sales transactions data management were carried out using paper-based, so it was not organized and took a lot of time. This study aims to design a website-based sales monitoring system that can be used to store and process customer and sales data on these SMEs. In the early stages, the proposed sales monitoring business process was designed, which resulted in the addition of 13 activities. The proposed business process becomes an input in designing a sales monitoring system that uses the waterfall method. There are four types of users in this system: administrator, owner, marketing, and customers. Some of the features available in this system include customer registration, reporting of income and expenses, determining customer points, creating promotional agendas, and others. The result of this study can be helpful to store customer and sales transaction data easier and integrated for the SME.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"203 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122664100","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Waste management carries out because every day, the waste produced is continuously increasing, so the concept of converting waste into energy is needed or commonly called Waste to Energy (WTE). The development of a WTE-based Electric Power Generator is one way to manage waste to be converted into valuable energy properly. In this study, we attempt to analyze the designed financial model of a WTE-based Electric Power Generator using the working principle of Landfill Gas when it builds as a source of electrical energy for the Universitas Indonesia. The decision-making process mainly influences the designed financial model. Hence, several famous MCDM methods have been used, but most of them still based on subjective decisions rather than objective decisions. The SIMUS is a MCDM method which produce a strongly objective decision rather than subjective. In this study, researchers used the SIMUS to determine the scenario needed to build Waste-to-Energy (WTE) facilities in Universitas Indonesia and also the location where the facility feasible to build. At the end of the research, the financial model analysis showed the optimal scenario of the power plant and the proper location to construct, based on criteria from the model.
{"title":"Feasibility Analysis of an Electric Power Generator based on Waste-to-Energy Principle at Universitas Indonesia","authors":"Safira Khanza, M. Dachyar, F. Farizal","doi":"10.1145/3468013.3468631","DOIUrl":"https://doi.org/10.1145/3468013.3468631","url":null,"abstract":"Waste management carries out because every day, the waste produced is continuously increasing, so the concept of converting waste into energy is needed or commonly called Waste to Energy (WTE). The development of a WTE-based Electric Power Generator is one way to manage waste to be converted into valuable energy properly. In this study, we attempt to analyze the designed financial model of a WTE-based Electric Power Generator using the working principle of Landfill Gas when it builds as a source of electrical energy for the Universitas Indonesia. The decision-making process mainly influences the designed financial model. Hence, several famous MCDM methods have been used, but most of them still based on subjective decisions rather than objective decisions. The SIMUS is a MCDM method which produce a strongly objective decision rather than subjective. In this study, researchers used the SIMUS to determine the scenario needed to build Waste-to-Energy (WTE) facilities in Universitas Indonesia and also the location where the facility feasible to build. At the end of the research, the financial model analysis showed the optimal scenario of the power plant and the proper location to construct, based on criteria from the model.","PeriodicalId":129225,"journal":{"name":"Proceedings of the 4th Asia Pacific Conference on Research in Industrial and Systems Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123973057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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