Pub Date : 2021-10-28DOI: 10.1109/ICSGTEIS53426.2021.9650360
I. Widiartha, Rukmi Sari Hartati, Nyoman Putra Sastra, Dewa Made Wiharta
In recent years, the need for automatic document summarization has been very high, considering the explosion of text data from many sources. Various approaches have been used to summarize documents. One of them is a method based on swarm intelligence. Swarm intelligence is an artificial intelligence method that adopts colony behavior. It utilizes information exchange mechanisms between agents to get better solutions and random techniques for optimum global exploration of the search space. Swarm Intelligence has become the focus of research by many researchers looking at the advantages of the swarm Intelligence method. This paper aims to provide an overview of research in swarm intelligence approaches to automatic document summarization. There are three methods in swarm intelligence presented which have been proven to have very competitive performance on various optimization problems, including automatic document summarization. These methods include particle swarm optimization, ant colony, and artificial bee colony. The main parts of this review are the introduction, explanation of the swarm intelligence method, and the stages of document summarization. At the end of this paper, several challenges are mentioned for future research, especially for automatic document summarization using swarm intelligence.
{"title":"A Review on Swarm Intelligence Based Approach for Automatic Document Summarization","authors":"I. Widiartha, Rukmi Sari Hartati, Nyoman Putra Sastra, Dewa Made Wiharta","doi":"10.1109/ICSGTEIS53426.2021.9650360","DOIUrl":"https://doi.org/10.1109/ICSGTEIS53426.2021.9650360","url":null,"abstract":"In recent years, the need for automatic document summarization has been very high, considering the explosion of text data from many sources. Various approaches have been used to summarize documents. One of them is a method based on swarm intelligence. Swarm intelligence is an artificial intelligence method that adopts colony behavior. It utilizes information exchange mechanisms between agents to get better solutions and random techniques for optimum global exploration of the search space. Swarm Intelligence has become the focus of research by many researchers looking at the advantages of the swarm Intelligence method. This paper aims to provide an overview of research in swarm intelligence approaches to automatic document summarization. There are three methods in swarm intelligence presented which have been proven to have very competitive performance on various optimization problems, including automatic document summarization. These methods include particle swarm optimization, ant colony, and artificial bee colony. The main parts of this review are the introduction, explanation of the swarm intelligence method, and the stages of document summarization. At the end of this paper, several challenges are mentioned for future research, especially for automatic document summarization using swarm intelligence.","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122206635","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 : 2021-10-28DOI: 10.1109/ICSGTEIS53426.2021.9650377
P. K. Ray, Anindya Bharatee, Samarpita Panda, I. N. Satiawan
Electric Vehicles (EVs) are gradually becoming the new normal of the automobile industry. To make Electric Vehicles a mainstream automobile there is a need to make the charging stations more accessible, sustainable, and economic. The aim of this paper is to simulate a charging station consisting of a renewable energy source (Photo Voltaic array) and a microgrid to supply power, and to study the station’s power management schemes so that the microgrid experiences the least stress. The design of the station is such that the power flow occurs in both Grid to Vehicle (G2V) and Vehicle to Grid (V2G) directions. Due to this bidirectional nature of the charging station, not only is the pressure on the grids reduced but also the Electric Vehicle itself can be used to stabilize the grid during unequal production of power and load demand. The power flow in this entire system is decided by the mode of operation which depends on the load demand, microgrid production, and the State of Charge of the Electric Vehicle. The recommended power flow scheme for charging an electric vehicle is validated through MATLAB/Simulink results.
{"title":"Modeling and Power Management of Electric Vehicle Charging System","authors":"P. K. Ray, Anindya Bharatee, Samarpita Panda, I. N. Satiawan","doi":"10.1109/ICSGTEIS53426.2021.9650377","DOIUrl":"https://doi.org/10.1109/ICSGTEIS53426.2021.9650377","url":null,"abstract":"Electric Vehicles (EVs) are gradually becoming the new normal of the automobile industry. To make Electric Vehicles a mainstream automobile there is a need to make the charging stations more accessible, sustainable, and economic. The aim of this paper is to simulate a charging station consisting of a renewable energy source (Photo Voltaic array) and a microgrid to supply power, and to study the station’s power management schemes so that the microgrid experiences the least stress. The design of the station is such that the power flow occurs in both Grid to Vehicle (G2V) and Vehicle to Grid (V2G) directions. Due to this bidirectional nature of the charging station, not only is the pressure on the grids reduced but also the Electric Vehicle itself can be used to stabilize the grid during unequal production of power and load demand. The power flow in this entire system is decided by the mode of operation which depends on the load demand, microgrid production, and the State of Charge of the Electric Vehicle. The recommended power flow scheme for charging an electric vehicle is validated through MATLAB/Simulink results.","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125818886","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 : 2021-10-28DOI: 10.1109/icsgteis53426.2021.9650388
{"title":"ICSGTEIS 2021 Cover Page","authors":"","doi":"10.1109/icsgteis53426.2021.9650388","DOIUrl":"https://doi.org/10.1109/icsgteis53426.2021.9650388","url":null,"abstract":"","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117175355","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 : 2021-10-28DOI: 10.1109/icsgteis53426.2021.9650368
{"title":"ICSGTEIS 2021 Welcome Message","authors":"","doi":"10.1109/icsgteis53426.2021.9650368","DOIUrl":"https://doi.org/10.1109/icsgteis53426.2021.9650368","url":null,"abstract":"","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116971271","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 : 2021-10-28DOI: 10.1109/ICSGTEIS53426.2021.9650356
N. Busaeri, N. Hiron, I.A Dwi Giriantari, W. G. Ariastina, I. B. Swamardika
Campus greening has become an obsession for every University; even though being a green campus is not easy, it takes a long-term strategy to be implemented. This article discusses strategies to reduce carbon production and increase efficiency in the use of electrical energy. The campus control policy uses the standards used in the Climate Action Tracker (CAT) and the World Bank standard. While increasing the efficiency of electricity use by observing the annual electricity use of the building and then dividing it by the building area so that the actual energy efficiency index (EEI) identification value is obtained. The object of research is the University of Siliwangi (UNSIL). Data analysis uses field observation data with a range from 2015 to 2021. We use a regression approach to determine conditions in 2030. The results of the investigation on carbon and electricity emissions are divided into four scenarios. The analysis of the efficiency of the use of electrical energy focuses on two types of areas, namely areas with an HVAC system and areas without an HVAC system. The calculation results are recapitulated into six categories. The conclusion from our analysis, it appears that UNSIL needs a breakthrough and a solid commitment to reduce carbon production on campus, misconvert the use of electric vehicles in the campus environment, reduce car and motorcycle activities. The efficiency of electricity use can apply scenario two or scenario 3, which is to keep the electricity consumption rate per year at a minimum of 10%.
{"title":"Green Campus Establishment Through Carbon Emission and Energy Efficiency Control","authors":"N. Busaeri, N. Hiron, I.A Dwi Giriantari, W. G. Ariastina, I. B. Swamardika","doi":"10.1109/ICSGTEIS53426.2021.9650356","DOIUrl":"https://doi.org/10.1109/ICSGTEIS53426.2021.9650356","url":null,"abstract":"Campus greening has become an obsession for every University; even though being a green campus is not easy, it takes a long-term strategy to be implemented. This article discusses strategies to reduce carbon production and increase efficiency in the use of electrical energy. The campus control policy uses the standards used in the Climate Action Tracker (CAT) and the World Bank standard. While increasing the efficiency of electricity use by observing the annual electricity use of the building and then dividing it by the building area so that the actual energy efficiency index (EEI) identification value is obtained. The object of research is the University of Siliwangi (UNSIL). Data analysis uses field observation data with a range from 2015 to 2021. We use a regression approach to determine conditions in 2030. The results of the investigation on carbon and electricity emissions are divided into four scenarios. The analysis of the efficiency of the use of electrical energy focuses on two types of areas, namely areas with an HVAC system and areas without an HVAC system. The calculation results are recapitulated into six categories. The conclusion from our analysis, it appears that UNSIL needs a breakthrough and a solid commitment to reduce carbon production on campus, misconvert the use of electric vehicles in the campus environment, reduce car and motorcycle activities. The efficiency of electricity use can apply scenario two or scenario 3, which is to keep the electricity consumption rate per year at a minimum of 10%.","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133658343","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 : 2021-10-28DOI: 10.1109/icsgteis53426.2021.9650366
{"title":"ICSGTEIS 2021 Copyright Page","authors":"","doi":"10.1109/icsgteis53426.2021.9650366","DOIUrl":"https://doi.org/10.1109/icsgteis53426.2021.9650366","url":null,"abstract":"","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133763968","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 : 2021-10-28DOI: 10.1109/ICSGTEIS53426.2021.9650367
R. I. Putri, F. Ronilaya, I. Syamsiana, L. Jasa
The limitation of fossil fuels for electricity generation is a very important problem faced today, so that the use of renewable energy is increasing. The photovoltaic system is an electrical energy generator that converts solar energy into electrical energy. The use of PV is increasing because it is pollution-free, free, and low maintenance. However, PV has low conversion efficiency and an increase in PV efficiency can be achieved if it works at the maximum power point (MPP). So it's needed a maximum power point tracking (MPPT) controller. In this article, a modified P&O (MP&O) MPPT controller is designed for a standalone PV system using a boost converter. MP&O finds the MPP by adjusting the duty cycle of the boost converter based on current and voltage measurements. Based on the simulation results, the MP&O MPPT algorithm has a better performance than P&O. MP&O can follow changes in irradiance and produce greater maximum power and faster tracking time than the P&O algorithm. For some irradiance conditions, MP&O can achieve an average efficiency of 92.65% while P&O is 83.45%.
{"title":"Improvement efficiency of photovoltaic system using modified perturb and observe","authors":"R. I. Putri, F. Ronilaya, I. Syamsiana, L. Jasa","doi":"10.1109/ICSGTEIS53426.2021.9650367","DOIUrl":"https://doi.org/10.1109/ICSGTEIS53426.2021.9650367","url":null,"abstract":"The limitation of fossil fuels for electricity generation is a very important problem faced today, so that the use of renewable energy is increasing. The photovoltaic system is an electrical energy generator that converts solar energy into electrical energy. The use of PV is increasing because it is pollution-free, free, and low maintenance. However, PV has low conversion efficiency and an increase in PV efficiency can be achieved if it works at the maximum power point (MPP). So it's needed a maximum power point tracking (MPPT) controller. In this article, a modified P&O (MP&O) MPPT controller is designed for a standalone PV system using a boost converter. MP&O finds the MPP by adjusting the duty cycle of the boost converter based on current and voltage measurements. Based on the simulation results, the MP&O MPPT algorithm has a better performance than P&O. MP&O can follow changes in irradiance and produce greater maximum power and faster tracking time than the P&O algorithm. For some irradiance conditions, MP&O can achieve an average efficiency of 92.65% while P&O is 83.45%.","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125203838","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 : 2021-10-28DOI: 10.1109/ICSGTEIS53426.2021.9650374
Pratic A Muntakim, Jun-yan Zhang, Shubin Zhang, B. Phung
The dielectric dissipation factor (DDF) is a useful parameter for the diagnosis of high voltage equipment insulation condition. Traditionally, the AC power grid voltage was considered pure sinusoidal. Due to the increasing presence of non-linear loads in the power system, the grid voltage nowadays gets distorted with high frequency harmonics. This paper investigates the impact of distorted voltage on the DDF measurement. Based on a circuit model with the polarization loss, a mathematical formula is derived which shows that, given the same RMS applied voltage, the DDF value will decrease with increasing harmonic distortion level. The theoretical formulation is implemented in computer simulation using MATLAB Simulink to validate the results. Laboratory experiments were carried out on a 33kV dry-type current transformer which confirmed the monotonically decreasing pattern, but the trend is more complex.
{"title":"Dielectric Dissipation Factor Measurement of Power Equipment under Distorted Excitation Voltage","authors":"Pratic A Muntakim, Jun-yan Zhang, Shubin Zhang, B. Phung","doi":"10.1109/ICSGTEIS53426.2021.9650374","DOIUrl":"https://doi.org/10.1109/ICSGTEIS53426.2021.9650374","url":null,"abstract":"The dielectric dissipation factor (DDF) is a useful parameter for the diagnosis of high voltage equipment insulation condition. Traditionally, the AC power grid voltage was considered pure sinusoidal. Due to the increasing presence of non-linear loads in the power system, the grid voltage nowadays gets distorted with high frequency harmonics. This paper investigates the impact of distorted voltage on the DDF measurement. Based on a circuit model with the polarization loss, a mathematical formula is derived which shows that, given the same RMS applied voltage, the DDF value will decrease with increasing harmonic distortion level. The theoretical formulation is implemented in computer simulation using MATLAB Simulink to validate the results. Laboratory experiments were carried out on a 33kV dry-type current transformer which confirmed the monotonically decreasing pattern, but the trend is more complex.","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115481882","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 : 2021-10-28DOI: 10.1109/ICSGTEIS53426.2021.9650357
Sri Widyanti Ginting, R. S. Hartati, M. Sudarma, I. B. Swamardika
Prolonged trauma conditions in a person have the potential to become Post-Traumatic Stress Disorder (PTSD). The American Psychological Association (APA) defines PTSD as an experience of someone who experiences a traumatic event that can cause disturbances in self-integrity, feeling of helplessness and specific trauma. People who are directly affected by earthquakes and volcanic explosions generally experience trauma. In order to reconcile the survivors of trauma, this study will categorize trauma survivors from Mount Sinabung's eruption in Karo Regency and the Ambon City Earthquake according to their level of trauma. The clustering process uses the Data Mining, a method to extract and identify trauma survivor data in order to produce the required information. The algorithm on K-Means is used in the computational process. The algorithm on K-Means has advantages in computational efficiency and ease of use. The data collection instrument in this study used the Impact of Even Scale-Revised (IES-R) Questionnaire which offered a common language and standard criteria for the classification of mental disorders. Information on the trauma survivors cluster of Mild, Moderate, and Severe trauma levels will be generated using the computational and iteration process supported by the Orange application. The results of the research on grouping trauma survivors using the K-means algorithm with the support of an application that helps the iteration process of survivor data processed through the IER-S questionnaire provide information that is useful for healing trauma survivors.
{"title":"Clustering of Earthquake and Volcanic Eruption Trauma Survivor Groups using K-Means Algorithm","authors":"Sri Widyanti Ginting, R. S. Hartati, M. Sudarma, I. B. Swamardika","doi":"10.1109/ICSGTEIS53426.2021.9650357","DOIUrl":"https://doi.org/10.1109/ICSGTEIS53426.2021.9650357","url":null,"abstract":"Prolonged trauma conditions in a person have the potential to become Post-Traumatic Stress Disorder (PTSD). The American Psychological Association (APA) defines PTSD as an experience of someone who experiences a traumatic event that can cause disturbances in self-integrity, feeling of helplessness and specific trauma. People who are directly affected by earthquakes and volcanic explosions generally experience trauma. In order to reconcile the survivors of trauma, this study will categorize trauma survivors from Mount Sinabung's eruption in Karo Regency and the Ambon City Earthquake according to their level of trauma. The clustering process uses the Data Mining, a method to extract and identify trauma survivor data in order to produce the required information. The algorithm on K-Means is used in the computational process. The algorithm on K-Means has advantages in computational efficiency and ease of use. The data collection instrument in this study used the Impact of Even Scale-Revised (IES-R) Questionnaire which offered a common language and standard criteria for the classification of mental disorders. Information on the trauma survivors cluster of Mild, Moderate, and Severe trauma levels will be generated using the computational and iteration process supported by the Orange application. The results of the research on grouping trauma survivors using the K-means algorithm with the support of an application that helps the iteration process of survivor data processed through the IER-S questionnaire provide information that is useful for healing trauma survivors.","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125998931","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 : 2021-10-28DOI: 10.1109/ICSGTEIS53426.2021.9650409
I. G. M. N. Desnanjaya, I. M. A. Nugraha
In the rice fields, there is what is called a small stream where water flows to irrigate the rice fields. When it rains it will cause flooding in the rice fields. Floods in rice fields generally occur in rice fields that use a rain-fed water system (depending on the rain). By using a rainfed rice field system, controlling the water entering the rice fields becomes difficult due to the uncertain water level. One of the problems faced by farmers is controlling water flowing into the fields. Seeing these problems, a Door Control system with Web-Based Information was designed and built. This system can display a graph of the meeting water level on the website and can control the meeting door. So that this system helps farmers in getting information on the water level of the meeting and can control the meeting door remotely. The components used to design this system are Arduino Uno as a data processing center, SIM 900 Module for sending data to the database and as SMS recipients, Servo Motor for moving meeting doors, and ultrasonic sensor HCSR04 as water level readings at meetings. Based on the website system test using ISO 1926, a good score was obtained. For the functional system, it gives a good score with a total value of 30. For reliability, it gives a value of 0.99, which indicates that the tool fulfills the reliability. In the usage test, 66.75% gave a good score. on efficiency, it can be concluded that the sluice gate control system with web-based information gets an average score of 87.8 with grade B. Meanwhile, the average load time is 650.8 ms. Based on Nielsen's standards, the average load time of the sluice gate control system with web-based information is good.
{"title":"Design and Control System of Sluice Gate With Web-Based Information","authors":"I. G. M. N. Desnanjaya, I. M. A. Nugraha","doi":"10.1109/ICSGTEIS53426.2021.9650409","DOIUrl":"https://doi.org/10.1109/ICSGTEIS53426.2021.9650409","url":null,"abstract":"In the rice fields, there is what is called a small stream where water flows to irrigate the rice fields. When it rains it will cause flooding in the rice fields. Floods in rice fields generally occur in rice fields that use a rain-fed water system (depending on the rain). By using a rainfed rice field system, controlling the water entering the rice fields becomes difficult due to the uncertain water level. One of the problems faced by farmers is controlling water flowing into the fields. Seeing these problems, a Door Control system with Web-Based Information was designed and built. This system can display a graph of the meeting water level on the website and can control the meeting door. So that this system helps farmers in getting information on the water level of the meeting and can control the meeting door remotely. The components used to design this system are Arduino Uno as a data processing center, SIM 900 Module for sending data to the database and as SMS recipients, Servo Motor for moving meeting doors, and ultrasonic sensor HCSR04 as water level readings at meetings. Based on the website system test using ISO 1926, a good score was obtained. For the functional system, it gives a good score with a total value of 30. For reliability, it gives a value of 0.99, which indicates that the tool fulfills the reliability. In the usage test, 66.75% gave a good score. on efficiency, it can be concluded that the sluice gate control system with web-based information gets an average score of 87.8 with grade B. Meanwhile, the average load time is 650.8 ms. Based on Nielsen's standards, the average load time of the sluice gate control system with web-based information is good.","PeriodicalId":345626,"journal":{"name":"2021 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132979647","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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