Pub Date : 2022-07-31DOI: 10.22146/ajse.v6i1.76128
Nindya Laksita Laras, M. Ushada, T. Wijayanto
Lockdown is one way to reduce the transmission rate of COVID-19. Nevertheless, on the other hand, lockdowns also increase human psychological problems to cause the emergence of emotional eating. In addition, social media exposure that presents food photos can trigger the desire to eat. However, this only applies to high-fat and high-calorie foods, while healthy foods do not have the same stimuli. Therefore, more research is needed on the properties of healthy food photos desired by consumers in order to be able to create or design healthy food photos with an effect that resembles photos of high-fat and high-calorie foods. This study employed the Kansei Engineering approach in designing healthy food photos. Through Kansei Engineering, we can determine the nature of healthy food photos consumers want. The type of Kansei engineering used in this study was Kansei Engineering Type I and was limited to the Semantic Space stage. The process of factor reduction from the results of the semantic differential was carried out by using factor analysis to obtain the most critical factors related to healthy food photos. The semantic space spanning resulted in 23 pairs of Kansei words that related and represented healthy food photos. Based on the factor analysis results, these Kansei words were then into 6-factor groups. Each of the factor groups was represented by the Kansei word pair with the highest loadings value. The selected pair of Kansei words showed that healthy food photos could be represented by Kansei words attractive, contrast, proper lighting, neat, high-quality image, and straightforward.
{"title":"FACTOR ANALYSIS OF HEALTHY FOOD PHOTOGRAPH","authors":"Nindya Laksita Laras, M. Ushada, T. Wijayanto","doi":"10.22146/ajse.v6i1.76128","DOIUrl":"https://doi.org/10.22146/ajse.v6i1.76128","url":null,"abstract":"Lockdown is one way to reduce the transmission rate of COVID-19. Nevertheless, on the other hand, lockdowns also increase human psychological problems to cause the emergence of emotional eating. In addition, social media exposure that presents food photos can trigger the desire to eat. However, this only applies to high-fat and high-calorie foods, while healthy foods do not have the same stimuli. Therefore, more research is needed on the properties of healthy food photos desired by consumers in order to be able to create or design healthy food photos with an effect that resembles photos of high-fat and high-calorie foods. This study employed the Kansei Engineering approach in designing healthy food photos. Through Kansei Engineering, we can determine the nature of healthy food photos consumers want. The type of Kansei engineering used in this study was Kansei Engineering Type I and was limited to the Semantic Space stage. The process of factor reduction from the results of the semantic differential was carried out by using factor analysis to obtain the most critical factors related to healthy food photos. The semantic space spanning resulted in 23 pairs of Kansei words that related and represented healthy food photos. Based on the factor analysis results, these Kansei words were then into 6-factor groups. Each of the factor groups was represented by the Kansei word pair with the highest loadings value. The selected pair of Kansei words showed that healthy food photos could be represented by Kansei words attractive, contrast, proper lighting, neat, high-quality image, and straightforward. ","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132765731","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}
Pub Date : 2022-07-29DOI: 10.22146/ajse.v6i1.75149
Feikal Aprieza, M. K. Ridwan, W. Wilopo
The COVID-19 pandemic as a global pandemic on 2020 has encouraged the Indonesian Government to establish pandemic response policies in many provinces. The policies that had been restricting mobility during the pandemic showed significant impacts in many aspects in the Special Region of Yogyakarta. A shifting pattern in electricity consumption can be seen as the growth of economic sectors in the GDP encountered contraction after the decline of community mobility. Electricity demand forecasting is required to analyze the impact of the COVID-19 pandemic by applying three scenarios, specifically an unlikely pandemic scenario or Business As Usual (BAU), moderate scenario (MOD), and optimistic scenario (OPT). Also, the household, industrial, business, social, and public sectors are analyzed in order to see the shifting pattern in electricity consumption through the scenarios that have been given. Energy modeling is conducted with Low Emission Analysis Platform (LEAP) software to analyze electricity demand forecasting from 2019 to 2030 based on the three scenarios. The results show that the electricity demand in 2030, according to BAU, MOD, and OPT scenarios, in the amount of 5,301.58 GWh, 4,489.11 GWh, and 4,648.12 GWh, respectively. According to the MOD and OPT scenarios, the electricity demands of the household and industrial sectors will increase relative to the BAU scenario. Meanwhile, according to both scenarios, the electricity demands of the business and social sectors will decrease. In the public sector, the MOD scenario shows the decline of electricity demand relative to the BAU scenario, while OPT scenario shows the opposite.
{"title":"FORECASTING ANALYSIS ON ELECTRICITY DEMAND IN THE SPECIAL REGION OF YOGYAKARTA UNDER THE IMPACT OF THE COVID-19 PANDEMIC","authors":"Feikal Aprieza, M. K. Ridwan, W. Wilopo","doi":"10.22146/ajse.v6i1.75149","DOIUrl":"https://doi.org/10.22146/ajse.v6i1.75149","url":null,"abstract":"The COVID-19 pandemic as a global pandemic on 2020 has encouraged the Indonesian Government to establish pandemic response policies in many provinces. The policies that had been restricting mobility during the pandemic showed significant impacts in many aspects in the Special Region of Yogyakarta. A shifting pattern in electricity consumption can be seen as the growth of economic sectors in the GDP encountered contraction after the decline of community mobility. Electricity demand forecasting is required to analyze the impact of the COVID-19 pandemic by applying three scenarios, specifically an unlikely pandemic scenario or Business As Usual (BAU), moderate scenario (MOD), and optimistic scenario (OPT). Also, the household, industrial, business, social, and public sectors are analyzed in order to see the shifting pattern in electricity consumption through the scenarios that have been given. Energy modeling is conducted with Low Emission Analysis Platform (LEAP) software to analyze electricity demand forecasting from 2019 to 2030 based on the three scenarios. The results show that the electricity demand in 2030, according to BAU, MOD, and OPT scenarios, in the amount of 5,301.58 GWh, 4,489.11 GWh, and 4,648.12 GWh, respectively. According to the MOD and OPT scenarios, the electricity demands of the household and industrial sectors will increase relative to the BAU scenario. Meanwhile, according to both scenarios, the electricity demands of the business and social sectors will decrease. In the public sector, the MOD scenario shows the decline of electricity demand relative to the BAU scenario, while OPT scenario shows the opposite.","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130261932","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}
Pub Date : 2022-07-29DOI: 10.22146/ajse.v6i1.75615
S. Avia, B. Kamulyan, A. T. Yuliansyah
Liquid waste produced from the tofu industry contains high contaminants such as BOD, COD, TDS, pH, and TSS, which can pollute the environment. Therefore, pollutants should be decreased before being discharged into the environment. Tofu waste treatment is constrained by adequate technology and high costs. Biological treatment is one of the best treatments, a waste treatment process by utilizing microorganisms. This research used the intermittent anaerobic-aerobic process and was conducted on a laboratory scale using a tank made of glass 25 cm long, 20 cm wide, 15 cm high, and a tank of 30 cm long and 15 cm wide 15 cm high. The treatment process in this research used samples adding EM4 solution with a concentration of 1/20 and samples without EM4. The stages of the research were carried out consisting of preliminary research, core research, and further research. Preliminary research used 1/20 (5%) concentration of EM4 and was fermented for four days at room temperature. As a result, the pH value decreased from 6 to 4, and the presence of a white layer above the surface. The average pollutant reduction efficiency value in the sample with Effective Microorganism-4 (EM4) and without the Effective Microorganism-4 (EM4) was tested at different duration times for each parameter. The efficiency reduction value of the sample with EM4 of BOD was 87.14%, COD 74.68%, TSS 15.88%, and TDS -17.91%, while in the sample without EM4 of BOD value was 76.54%, COD 67.78%, TSS 22.77%, TDS -16.78% with a time process of 41st day.
{"title":"BIOREMEDIATION OF TOFU INDUSTRY LIQUID WASTE USING EFFECTIVE MICROORGANISM-4 (EM4) SOLUTION (CASE STUDY OF TOFU SENTOSA INDUSTRY, YOGYAKARTA)","authors":"S. Avia, B. Kamulyan, A. T. Yuliansyah","doi":"10.22146/ajse.v6i1.75615","DOIUrl":"https://doi.org/10.22146/ajse.v6i1.75615","url":null,"abstract":"Liquid waste produced from the tofu industry contains high contaminants such as BOD, COD, TDS, pH, and TSS, which can pollute the environment. Therefore, pollutants should be decreased before being discharged into the environment. Tofu waste treatment is constrained by adequate technology and high costs. Biological treatment is one of the best treatments, a waste treatment process by utilizing microorganisms. This research used the intermittent anaerobic-aerobic process and was conducted on a laboratory scale using a tank made of glass 25 cm long, 20 cm wide, 15 cm high, and a tank of 30 cm long and 15 cm wide 15 cm high. The treatment process in this research used samples adding EM4 solution with a concentration of 1/20 and samples without EM4. The stages of the research were carried out consisting of preliminary research, core research, and further research. Preliminary research used 1/20 (5%) concentration of EM4 and was fermented for four days at room temperature. As a result, the pH value decreased from 6 to 4, and the presence of a white layer above the surface. The average pollutant reduction efficiency value in the sample with Effective Microorganism-4 (EM4) and without the Effective Microorganism-4 (EM4) was tested at different duration times for each parameter. The efficiency reduction value of the sample with EM4 of BOD was 87.14%, COD 74.68%, TSS 15.88%, and TDS -17.91%, while in the sample without EM4 of BOD value was 76.54%, COD 67.78%, TSS 22.77%, TDS -16.78% with a time process of 41st day.","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121670803","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}
Pub Date : 2022-07-22DOI: 10.22146/ajse.v6i1.72411
Muhammad Nurhadi, Joko Purnomo
The use of surveillance cameras for most agencies only relies on video recordings and storing them for a certain time. The use of this surveillance camera can be applied to determine the type of vehicle even if the camera is not in the right position. Regarding the background of the problem, this research will use the Convolutional Neural Network (CNN) algorithm, which is part of Deep Learning with the help of Keras Library and TensorFlow, to carry out the learning process on videos captured by surveillance cameras so that it can detect images from 3 types of vehicles. The dataset used is 100 images of motorcycles, 100 images of cars, and 100 images of buses. The method used is the Image Classification Method, and the model used is the best model selected from several experiments. Researchers used training and test data distribution, namely 80% and 20%. The best results were obtained with an accuracy rate of 96.49% using epoch 100, learning rate 0.001, and batch size 32. Meanwhile, vehicle images produced image accuracy for motorcycle images when using test data from outside the dataset is 78.92%, car image is 81.71%, and bus image is 82.26%.
{"title":"IMPLEMENTATION OF IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK (CNN) ALGORITHM ON VEHICLES IMAGES","authors":"Muhammad Nurhadi, Joko Purnomo","doi":"10.22146/ajse.v6i1.72411","DOIUrl":"https://doi.org/10.22146/ajse.v6i1.72411","url":null,"abstract":"The use of surveillance cameras for most agencies only relies on video recordings and storing them for a certain time. The use of this surveillance camera can be applied to determine the type of vehicle even if the camera is not in the right position. Regarding the background of the problem, this research will use the Convolutional Neural Network (CNN) algorithm, which is part of Deep Learning with the help of Keras Library and TensorFlow, to carry out the learning process on videos captured by surveillance cameras so that it can detect images from 3 types of vehicles. The dataset used is 100 images of motorcycles, 100 images of cars, and 100 images of buses. The method used is the Image Classification Method, and the model used is the best model selected from several experiments. Researchers used training and test data distribution, namely 80% and 20%. The best results were obtained with an accuracy rate of 96.49% using epoch 100, learning rate 0.001, and batch size 32. Meanwhile, vehicle images produced image accuracy for motorcycle images when using test data from outside the dataset is 78.92%, car image is 81.71%, and bus image is 82.26%.","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134524652","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}
Pub Date : 2022-07-22DOI: 10.22146/ajse.v6i1.73662
Samuel Elean, Suhanan Suhanan, T. Ariyanto
Porous carbon from biomass has a great potential to be developed. Biomass as a resource is renewable, abundantly available, and cheap. One application of porous carbon is as an electrode material of supercapacitor due to its advantageous pore properties such as high specific surface area and pore volume. This research prepared porous carbon material from pineapple peel waste and tested it as a supercapacitor electrode. The research steps were material preparation, conversion of pineapple peel to porous carbon, and characterization, including material characterization and electrochemical characterizations. Pineapple peel (under 80 mesh size) was pre-carbonized by hydrothermal method at 1900C for 2 hours under a subcritical condition. After that, biochar was pyrolyzed at 9000C and activated using CO2/N2 (KB-900-50). As a reference, biochar was also pyrolyzed under a nitrogen atmosphere at 9000C without activation (KB-900). Produced porous carbon was characterized (i) pore structures, e.g., specific surface area, average pore diameter, and total pore volume using N2-sorption analysis, and (ii) electrochemical performance, e.g., cyclic voltammetry and galvanostatic method using 1 M H2SO4 electrolyte solution. The result showed that the activation process effectively increased the porosity of porous carbon. Material (KB-900-50) possesses a high surface area of 648 m2/g and a high capacitance value of 78 F/g.
生物质多孔碳具有很大的开发潜力。生物质作为一种可再生资源，储量丰富，价格低廉。多孔碳具有高比表面积和孔容等优越的孔隙特性，可作为超级电容器的电极材料。本研究以菠萝皮废料为原料制备多孔碳材料，并对其作为超级电容器电极进行了测试。研究步骤包括材料制备、菠萝皮转化成多孔碳以及表征，包括材料表征和电化学表征。采用水热法对80目以下的菠萝皮进行预碳化，温度为1900℃，亚临界条件下预碳化2小时。之后，生物炭在9000C下热解，并使用CO2/N2 (KB-900-50)活化。作为参考，生物炭也在9000C的氮气气氛下进行了无活化热解(KB-900)。采用n2吸附法对制备的多孔碳进行了表征:(1)孔结构，如比表面积、平均孔径和总孔体积;(2)电化学性能，如循环伏安法和恒流法，使用1 M H2SO4电解质溶液。结果表明，活化过程有效地提高了多孔炭的孔隙率。材料(KB-900-50)具有648 m2/g的高表面积和78 F/g的高电容值。
{"title":"POROUS CARBON FROM PINEAPPLE PEEL AS ELECTRODE MATERIAL OF SUPERCAPACITOR","authors":"Samuel Elean, Suhanan Suhanan, T. Ariyanto","doi":"10.22146/ajse.v6i1.73662","DOIUrl":"https://doi.org/10.22146/ajse.v6i1.73662","url":null,"abstract":"Porous carbon from biomass has a great potential to be developed. Biomass as a resource is renewable, abundantly available, and cheap. One application of porous carbon is as an electrode material of supercapacitor due to its advantageous pore properties such as high specific surface area and pore volume. This research prepared porous carbon material from pineapple peel waste and tested it as a supercapacitor electrode. The research steps were material preparation, conversion of pineapple peel to porous carbon, and characterization, including material characterization and electrochemical characterizations. Pineapple peel (under 80 mesh size) was pre-carbonized by hydrothermal method at 1900C for 2 hours under a subcritical condition. After that, biochar was pyrolyzed at 9000C and activated using CO2/N2 (KB-900-50). As a reference, biochar was also pyrolyzed under a nitrogen atmosphere at 9000C without activation (KB-900). Produced porous carbon was characterized (i) pore structures, e.g., specific surface area, average pore diameter, and total pore volume using N2-sorption analysis, and (ii) electrochemical performance, e.g., cyclic voltammetry and galvanostatic method using 1 M H2SO4 electrolyte solution. The result showed that the activation process effectively increased the porosity of porous carbon. Material (KB-900-50) possesses a high surface area of 648 m2/g and a high capacitance value of 78 F/g.","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125221540","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}
Pub Date : 2021-12-31DOI: 10.22146/ajse.v5i2.72461
Dinda Safitri Ramadhani, N. Masruroh, J. Waluyo
The industrial development in Indonesia encourages companies to have high sensitivity in competing to meet consumer demands promptly by considering minimum distribution costs. One of the factors that can affect distribution costs is route determination. Determining the distribution route is the Vehicle Routing Problem (VRP). The purpose of VRP is to arrange the order of distribution routes to produce a minimum total distance. This study aims to determine the fuel distribution route at TBBM Rewulu in one delivery period to obtain the optimal distribution route and minimize the vehicle mileage. Delivery is carried out using three types of tanker trucks with heterogeneous capacities. This study uses a mathematical model of Mixed Integer Linear Programming (MILP) by considering split delivery, multi trips, multi-products, and compartments.The branch and bound method in the LINGO solver has been used to solve this problem. This model was tested on a simple case using data of 8 customers with different distances and demand shipped by truck. The results obtained indicate that no boundaries are violated, and all consumers are served. The mathematical model built is still general, so it can solve similar cases. A model can be developed for further research by adding VRP variants such as time windows and adding the product types to represent the entire existing system.
{"title":"MODEL OF VEHICLE ROUTING PROBLEM WITH SPLIT DELIVERY, MULTI TRIPS, MULTI PRODUCTS AND COMPARTMENTS FOR DETERMINING FUEL DISTRIBUTION ROUTES","authors":"Dinda Safitri Ramadhani, N. Masruroh, J. Waluyo","doi":"10.22146/ajse.v5i2.72461","DOIUrl":"https://doi.org/10.22146/ajse.v5i2.72461","url":null,"abstract":"The industrial development in Indonesia encourages companies to have high sensitivity in competing to meet consumer demands promptly by considering minimum distribution costs. One of the factors that can affect distribution costs is route determination. Determining the distribution route is the Vehicle Routing Problem (VRP). The purpose of VRP is to arrange the order of distribution routes to produce a minimum total distance. This study aims to determine the fuel distribution route at TBBM Rewulu in one delivery period to obtain the optimal distribution route and minimize the vehicle mileage. Delivery is carried out using three types of tanker trucks with heterogeneous capacities. This study uses a mathematical model of Mixed Integer Linear Programming (MILP) by considering split delivery, multi trips, multi-products, and compartments.The branch and bound method in the LINGO solver has been used to solve this problem. This model was tested on a simple case using data of 8 customers with different distances and demand shipped by truck. The results obtained indicate that no boundaries are violated, and all consumers are served. The mathematical model built is still general, so it can solve similar cases. A model can be developed for further research by adding VRP variants such as time windows and adding the product types to represent the entire existing system.","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131185555","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}
Pub Date : 2021-12-31DOI: 10.22146/ajse.v5i2.72462
Ely Afridiana Kuncoro, A. Budiman, J. Waluyo
Energy needs are increasing rapidly along with population growth, increasing population activity, and massive development in technology. However, a current energy source is mainly from fossil energy. This condition is inversely proportional to fossil energy stock, decreasing year by year as a natural condition of non-renewable energy. On the other hand, fossil energy damages the environment by its pollution, such as deforestation and air and atmospheric pollution in the form of greenhouse gas emissions. For this reason, the world needs another source of energy that could replace fossil energy as a source and is also environmentally friendly. New and renewable energy could be the solution.Indonesia has plenty amount of new and renewable energy potential. However, renewable energy is weather-dependent, thus requiring storage technology to store the energy. The current common storage technology is battery technology. This technology has some weaknesses: limited capacity, high cost, less flexibility, expensive, and short lifetime. Another storage technology with high flexibility, easy transport, high amount capacity, long lifetime, and wide usage is needed. Hydrogen storage appears to meet all these requirements.This study aimed to calculate the optimum potential of photovoltaic power stations at Baru Pandansimo Beach of Bantul, Yogyakarta, as an energy source to produce hydrogen as a storage energy system. The simulations are done using HOMER software were carried out in three photovoltaic power station scenarios: fixed-tilt, single-axis tracker, and dual-axis tracker, and showed that the fixed-tilt photovoltaic power station scenario is the most optimal design and architecture. With total capacity reaching 7.8 MWp potential to be built at Baru Pandansimo, it could generate 11,657,704 KWh/year electrical energy with an NPC value of USD 8.29 M, and a COE of 0.0420 USD/KWh. This electrical energy could produce 213,288.06 kilograms of H2 at a 2.3 USD/kg production cost.
随着人口增长、人口活动增加和技术的大规模发展，能源需求正在迅速增加。然而，目前的能源来源主要是化石能源。这一状况与化石能源存量成反比，作为不可再生能源的自然状况逐年减少。另一方面，化石能源通过其污染破坏环境，例如森林砍伐和以温室气体排放的形式污染空气和大气。因此，世界需要另一种既能取代化石能源，又对环境友好的能源。新能源和可再生能源可能是解决方案。印尼拥有大量的新能源和可再生能源潜力。然而，可再生能源依赖于天气，因此需要存储技术来存储能量。目前常用的存储技术是电池技术。该技术存在容量有限、成本高、灵活性差、价格昂贵、寿命短等缺点。需要另一种灵活性高、运输方便、容量大、寿命长、应用广泛的存储技术。氢储存似乎满足了所有这些要求。本研究旨在计算日惹Bantul Baru Pandansimo海滩光伏电站作为能源生产氢气作为储能系统的最佳潜力。利用HOMER软件对固定倾斜、单轴跟踪和双轴跟踪三种光伏电站场景进行了仿真，结果表明，固定倾斜光伏电站场景是最优的设计和架构。Baru Pandansimo的总容量达到7.8 MWp的潜力，每年可产生11,657,704千瓦时的电能，NPC价值为829万美元，COE为0.0420美元/千瓦时。这种电能可以生产213288.06千克氢气，生产成本为2.3美元/千克。
{"title":"POTENTIAL STUDY OF PHOTOVOLTAIC POWER STATIONS TO MEET ENERGY NEEDS OF FUEL CELL UNITS IN BARU PANDANSIMO BARU BEACH OF BANTUL, YOGYAKARTA","authors":"Ely Afridiana Kuncoro, A. Budiman, J. Waluyo","doi":"10.22146/ajse.v5i2.72462","DOIUrl":"https://doi.org/10.22146/ajse.v5i2.72462","url":null,"abstract":"Energy needs are increasing rapidly along with population growth, increasing population activity, and massive development in technology. However, a current energy source is mainly from fossil energy. This condition is inversely proportional to fossil energy stock, decreasing year by year as a natural condition of non-renewable energy. On the other hand, fossil energy damages the environment by its pollution, such as deforestation and air and atmospheric pollution in the form of greenhouse gas emissions. For this reason, the world needs another source of energy that could replace fossil energy as a source and is also environmentally friendly. New and renewable energy could be the solution.Indonesia has plenty amount of new and renewable energy potential. However, renewable energy is weather-dependent, thus requiring storage technology to store the energy. The current common storage technology is battery technology. This technology has some weaknesses: limited capacity, high cost, less flexibility, expensive, and short lifetime. Another storage technology with high flexibility, easy transport, high amount capacity, long lifetime, and wide usage is needed. Hydrogen storage appears to meet all these requirements.This study aimed to calculate the optimum potential of photovoltaic power stations at Baru Pandansimo Beach of Bantul, Yogyakarta, as an energy source to produce hydrogen as a storage energy system. The simulations are done using HOMER software were carried out in three photovoltaic power station scenarios: fixed-tilt, single-axis tracker, and dual-axis tracker, and showed that the fixed-tilt photovoltaic power station scenario is the most optimal design and architecture. With total capacity reaching 7.8 MWp potential to be built at Baru Pandansimo, it could generate 11,657,704 KWh/year electrical energy with an NPC value of USD 8.29 M, and a COE of 0.0420 USD/KWh. This electrical energy could produce 213,288.06 kilograms of H2 at a 2.3 USD/kg production cost. ","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130389678","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}
Pub Date : 2021-12-30DOI: 10.22146/ajse.v5i2.71999
Annisa Fitri Harahap, M. Hidayat, Suhanan Suhanan
Solid Waste Oil Palm Empty Fruit Bunches have high nutrients, which significantly determine oil palm growth rate and production. Each nutrient has its role and can show specific symptoms in plants if their availability in the soil is very lacking. Dry oil palm land and the difficulty of procuring chemical fertilizers for the community that owns oil palm plantations in Simardona Village are expected to be overcome by the use of OPEFB. Utilization of Oil Palm Empty Bunches as Mulch was done manually in 4 research scenarios. Scenario 1 uses 2 kg of chemical fertilizers plus 250 kg of OPEFB, scenario 2 uses 2 kg of chemical fertilizers plus 300 kg of OPEFB, scenario 3 uses 2 kg of chemical fertilizers plus 350 kg of OPEFB, and scenario 4 uses 2 kg of chemical fertilizers plus 400 kg of OPEFB.The results obtained are that the humidity or moisture has increased from a value of 1 to 4. Therefore, it can be seen that the effect obtained from the use of more OPEFB makes the humidity higher. The calculation of the total cost of using OPOPEFB as mulch is obtained from the sum of the price of chemical fertilizers, the price of OPOPEFB, and workers' wages. The total cost after utilization of TKKS is IDR854,000.00. The total cost before using TKKS was IDR441,600,000. The difference in costs before and after the utilization of TKKS is IDR412,400.00, an increase in costs of 48%. The cost of using TKKS is higher than before using TKKS. The total harvest obtained before the use of OPEFB is 2,000 kg or IDR4,900,000. Meanwhile, after using OPEFB, the total yield obtained was 2,700 kg or IDR6,615,000. Production income increased by 26%.
{"title":"UTILIZATION OF OIL PALM EMPTY FRUIT BUNCHES AS MULCH IN COMMUNITY OWNED OIL PALM PLANTATIONS (CASE STUDY IN SIMARDONA VILLAGE, NORTH SUMATRA)","authors":"Annisa Fitri Harahap, M. Hidayat, Suhanan Suhanan","doi":"10.22146/ajse.v5i2.71999","DOIUrl":"https://doi.org/10.22146/ajse.v5i2.71999","url":null,"abstract":"Solid Waste Oil Palm Empty Fruit Bunches have high nutrients, which significantly determine oil palm growth rate and production. Each nutrient has its role and can show specific symptoms in plants if their availability in the soil is very lacking. Dry oil palm land and the difficulty of procuring chemical fertilizers for the community that owns oil palm plantations in Simardona Village are expected to be overcome by the use of OPEFB. Utilization of Oil Palm Empty Bunches as Mulch was done manually in 4 research scenarios. Scenario 1 uses 2 kg of chemical fertilizers plus 250 kg of OPEFB, scenario 2 uses 2 kg of chemical fertilizers plus 300 kg of OPEFB, scenario 3 uses 2 kg of chemical fertilizers plus 350 kg of OPEFB, and scenario 4 uses 2 kg of chemical fertilizers plus 400 kg of OPEFB.The results obtained are that the humidity or moisture has increased from a value of 1 to 4. Therefore, it can be seen that the effect obtained from the use of more OPEFB makes the humidity higher. The calculation of the total cost of using OPOPEFB as mulch is obtained from the sum of the price of chemical fertilizers, the price of OPOPEFB, and workers' wages. The total cost after utilization of TKKS is IDR854,000.00. The total cost before using TKKS was IDR441,600,000. The difference in costs before and after the utilization of TKKS is IDR412,400.00, an increase in costs of 48%. The cost of using TKKS is higher than before using TKKS. The total harvest obtained before the use of OPEFB is 2,000 kg or IDR4,900,000. Meanwhile, after using OPEFB, the total yield obtained was 2,700 kg or IDR6,615,000. Production income increased by 26%.","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121665514","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}
Pub Date : 2021-12-30DOI: 10.22146/ajse.v5i2.72021
Ubet Khoirudin, M. Hidayat, R. B. Cahyono
Waste generation in Balikpapan from 2016 to 2020 continues to increase by 443 to 482 tons per day. One of the efforts of DLH Balikpapan is to optimize the MRF and ITF facilities, as well as to analyze how much these facilities are needed to reduce waste generation at final disposal sites (Landfill) Manggar and enhance the durability of the landfill. The approach utilized in this study employs direct observation methods, such as data collection results on the amount of waste input and output, and secondary data, such as geometric methods and all data on waste generation in Balikpapan. The calculation of the feasibility and effectiveness analysis of the MRF inorganic waste processing facility using the recovery factor approach obtained 60.3%, while the ITF organic waste processing got a result of 45.7%.With the current condition, Manggar Landfill can be used until the end of 2025, Manggar Landfill can be used until the end of 2025. By optimizing garbage processing in these two facilities, the MRF has expanded the service coverage to 3 urban villages and has a projected age of up to 2033. It will be optimized for ITF processing facilities by utilizing process biogas. The primary objective of this research is to determine how many additional processing sites are needed starting with household waste sources thus, the calculation findings show that an additional six units of MRF facilities and ten units of ITF facilities are required. As a result, with the addition of inorganic and organic waste processing sites, Manggar's Landfill estimated age is extended until 2028.
{"title":"FEASIBILITY ANALYSIS AND DESIGN PROJECTION OF WASTE MANAGEMENT SYSTEM IN BALIKPAPAN","authors":"Ubet Khoirudin, M. Hidayat, R. B. Cahyono","doi":"10.22146/ajse.v5i2.72021","DOIUrl":"https://doi.org/10.22146/ajse.v5i2.72021","url":null,"abstract":"Waste generation in Balikpapan from 2016 to 2020 continues to increase by 443 to 482 tons per day. One of the efforts of DLH Balikpapan is to optimize the MRF and ITF facilities, as well as to analyze how much these facilities are needed to reduce waste generation at final disposal sites (Landfill) Manggar and enhance the durability of the landfill. The approach utilized in this study employs direct observation methods, such as data collection results on the amount of waste input and output, and secondary data, such as geometric methods and all data on waste generation in Balikpapan. The calculation of the feasibility and effectiveness analysis of the MRF inorganic waste processing facility using the recovery factor approach obtained 60.3%, while the ITF organic waste processing got a result of 45.7%.With the current condition, Manggar Landfill can be used until the end of 2025, Manggar Landfill can be used until the end of 2025. By optimizing garbage processing in these two facilities, the MRF has expanded the service coverage to 3 urban villages and has a projected age of up to 2033. It will be optimized for ITF processing facilities by utilizing process biogas. The primary objective of this research is to determine how many additional processing sites are needed starting with household waste sources thus, the calculation findings show that an additional six units of MRF facilities and ten units of ITF facilities are required. As a result, with the addition of inorganic and organic waste processing sites, Manggar's Landfill estimated age is extended until 2028.","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130636825","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}
Pub Date : 2021-10-31DOI: 10.22146/ajse.v5i2.69217
Maria Arista Ulfa, S. Sulistyo, M. Hidayat
The business world has experienced a paradigm shift towards a more modern concept. Many business processes are carried out through the internet or commonly known as e-commerce, by utilizing a platform known as Marketplace. One of the marketplaces that are quite well-known and in great demand in Indonesia is Shopee. The high online shopping activity in the current marketplace indirectly encourages business actors to understand the online market. However, one of the obstacles that are quite often faced by sellers, especially new sellers who are starting to enter the digital realm, is the emergence of confusion in the selection of products to be sold due to a lack of information regarding the demand for what products are in demand in the market.The process of searching for information related to the demand for products of interest is carried out through clustering analysis to find out the groups of products that are of interest to those that are less attractive to the public. The data used is product data from 6 categories in the Shopee market which was taken using web scraping techniques. The clustering processes used the K-means approach by determining the number of K and the optimal center point through the calculation of Sum Square Error (SSE) by looking at the elbow graph. The final results show the optimal number of K clusters that are different in each category, namely in category women’s clothing, men’s clothing, and electronics are at K=4 then for products in the category of Muslim fashion, care & beauty and household appliances are at K=3. Based on the validation results using the Davies Bouldin Index, values were obtained in6 categories, namely 0.391, 0.438, 0.414, 0.357, 0.387, and 0.377, which means that the cluster structure and the level of information formed in each category using the K-Means method is quite good.
{"title":"PRODUCT CLUSTERING ANALYSIS ON THE MARKETPLACE USING K-MEANS APPROACH (CASE STUDY: SHOPEE)","authors":"Maria Arista Ulfa, S. Sulistyo, M. Hidayat","doi":"10.22146/ajse.v5i2.69217","DOIUrl":"https://doi.org/10.22146/ajse.v5i2.69217","url":null,"abstract":"The business world has experienced a paradigm shift towards a more modern concept. Many business processes are carried out through the internet or commonly known as e-commerce, by utilizing a platform known as Marketplace. One of the marketplaces that are quite well-known and in great demand in Indonesia is Shopee. The high online shopping activity in the current marketplace indirectly encourages business actors to understand the online market. However, one of the obstacles that are quite often faced by sellers, especially new sellers who are starting to enter the digital realm, is the emergence of confusion in the selection of products to be sold due to a lack of information regarding the demand for what products are in demand in the market.The process of searching for information related to the demand for products of interest is carried out through clustering analysis to find out the groups of products that are of interest to those that are less attractive to the public. The data used is product data from 6 categories in the Shopee market which was taken using web scraping techniques. The clustering processes used the K-means approach by determining the number of K and the optimal center point through the calculation of Sum Square Error (SSE) by looking at the elbow graph. The final results show the optimal number of K clusters that are different in each category, namely in category women’s clothing, men’s clothing, and electronics are at K=4 then for products in the category of Muslim fashion, care & beauty and household appliances are at K=3. Based on the validation results using the Davies Bouldin Index, values were obtained in6 categories, namely 0.391, 0.438, 0.414, 0.357, 0.387, and 0.377, which means that the cluster structure and the level of information formed in each category using the K-Means method is quite good.","PeriodicalId":280593,"journal":{"name":"ASEAN Journal of Systems Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130283088","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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