Pub Date : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981473
A. Kusumawardana, M. A. Habibi, S. Wibawanto, H. Wicaksono, Yoga Prasetya, Rizqi Nurrahman
Power control in household devices are needed to avoid trip conditions on electric current. One of the power controls is the control of the water pump. Often, water pumps installed in one house are more than one. To overcome these problems, it is necessary to design an algorithm to coordinate each of the water pumps. In this study, the Consensus algorithm is designed to coordinate the water pumps used. The algorithm is used to generate reference signals for each agent (water pump). Integral Sliding Mode Current Control (ISMCC) and PI Controller is used as local controller. ISMCC is inner-loop current controller and PI is outer-loop power controller. The simulation result shows that power response of each agent is able to follow reference signal from Consensus algorithm even though any unknown pump parameters. However, overshoot of the total power is more than 5%.
{"title":"Coordination Power Control Of DC Water Pump System using Dual-loop Control and Consensus Algorithm","authors":"A. Kusumawardana, M. A. Habibi, S. Wibawanto, H. Wicaksono, Yoga Prasetya, Rizqi Nurrahman","doi":"10.1109/ICEEIE47180.2019.8981473","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981473","url":null,"abstract":"Power control in household devices are needed to avoid trip conditions on electric current. One of the power controls is the control of the water pump. Often, water pumps installed in one house are more than one. To overcome these problems, it is necessary to design an algorithm to coordinate each of the water pumps. In this study, the Consensus algorithm is designed to coordinate the water pumps used. The algorithm is used to generate reference signals for each agent (water pump). Integral Sliding Mode Current Control (ISMCC) and PI Controller is used as local controller. ISMCC is inner-loop current controller and PI is outer-loop power controller. The simulation result shows that power response of each agent is able to follow reference signal from Consensus algorithm even though any unknown pump parameters. However, overshoot of the total power is more than 5%.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115382998","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 : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981467
W. Hidayat, A. T. Oktaviani, T. A. Sutikno, R. K. Sari, H. Elmunsyah, Teguh Arie Sandy
Learning photography in vocational high school always encounters problems related to the availability of adequate camera and studio facilities. These problems make the material acceptance by students is reduced. The percentage of theoretical material is greater than practicum material, whereas this subject focuses on students' skills to use photographic equipment well. As a solution to this problem, Camlearn was developed to reduce the gap between learning in schools and industry needs through the use of mobile-based photography learning media. This research uses an experimental and descriptive approach. Experimental research is used to see the difference between experimental class learning outcomes using Camlearn as a learning medium and a control class that utilizes Edmodo-assisted blended learning models as a learning management system. Descriptive research to determine the level of Camlearn functionality as a valid learning media. Data collection tools consist of test instruments (pretest and posttest) and non-test instruments in the form of a questionnaire application Camlearn functionality. The results showed that mobile learning had a significant influence on students' academic achievement as indicated by differences in the learning outcomes of class control and experimental class students. Camlearn also received valid assessments and was suitable for use as learning media. Based on these findings, schools are expected to utilize mobile learning technology to improve the quality of learning.
{"title":"Camlearn as Photography Mobile Learning Application and its Effects on Academic Achievement","authors":"W. Hidayat, A. T. Oktaviani, T. A. Sutikno, R. K. Sari, H. Elmunsyah, Teguh Arie Sandy","doi":"10.1109/ICEEIE47180.2019.8981467","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981467","url":null,"abstract":"Learning photography in vocational high school always encounters problems related to the availability of adequate camera and studio facilities. These problems make the material acceptance by students is reduced. The percentage of theoretical material is greater than practicum material, whereas this subject focuses on students' skills to use photographic equipment well. As a solution to this problem, Camlearn was developed to reduce the gap between learning in schools and industry needs through the use of mobile-based photography learning media. This research uses an experimental and descriptive approach. Experimental research is used to see the difference between experimental class learning outcomes using Camlearn as a learning medium and a control class that utilizes Edmodo-assisted blended learning models as a learning management system. Descriptive research to determine the level of Camlearn functionality as a valid learning media. Data collection tools consist of test instruments (pretest and posttest) and non-test instruments in the form of a questionnaire application Camlearn functionality. The results showed that mobile learning had a significant influence on students' academic achievement as indicated by differences in the learning outcomes of class control and experimental class students. Camlearn also received valid assessments and was suitable for use as learning media. Based on these findings, schools are expected to utilize mobile learning technology to improve the quality of learning.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"52 S263","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120835337","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 : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981416
A. Putra, A. Mukhadis, H. A. Syafrudie, A. M. Nidhom, Azhar Ahmad Smaragdina, J. Yunos, A. Asari, Nurul Dzakiya, Ali hasbi Ramadani
This research aims to: (1) develop e-commerce based on regional superior products; (2) testing the attractiveness of the product being developed; and (3) testing the effectiveness of the product being developed. This research uses research and development (R&D) methods. The initial phase is carried out by developing e-commerce based on regional superior products. After development is complete, product attractiveness and effectiveness testing will be carried out. The attractiveness test is carried out by website experts (online businesses) and website design experts. Findings in this study include: (1) E-commerce based on regional superior products developed has a good attractiveness level (results of validation test of online shop experts and website design experts); (2) E-commerce based on regional superior products developed has proven to be effective in increasing rural community business skills; and (3) Tthe results of the development of e-commerce products based on the regional superior products can be used as references and alternative media for further research.
{"title":"The innovation of E-Commerce Based on Local Culture Products to Improve Business Skills to Rural Communities in the Era of Industrial Revolution 4.0","authors":"A. Putra, A. Mukhadis, H. A. Syafrudie, A. M. Nidhom, Azhar Ahmad Smaragdina, J. Yunos, A. Asari, Nurul Dzakiya, Ali hasbi Ramadani","doi":"10.1109/ICEEIE47180.2019.8981416","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981416","url":null,"abstract":"This research aims to: (1) develop e-commerce based on regional superior products; (2) testing the attractiveness of the product being developed; and (3) testing the effectiveness of the product being developed. This research uses research and development (R&D) methods. The initial phase is carried out by developing e-commerce based on regional superior products. After development is complete, product attractiveness and effectiveness testing will be carried out. The attractiveness test is carried out by website experts (online businesses) and website design experts. Findings in this study include: (1) E-commerce based on regional superior products developed has a good attractiveness level (results of validation test of online shop experts and website design experts); (2) E-commerce based on regional superior products developed has proven to be effective in increasing rural community business skills; and (3) Tthe results of the development of e-commerce products based on the regional superior products can be used as references and alternative media for further research.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121045238","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 : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981428
Machrus Ali, Hidayatul Nurohmah, Budiman, Judi Suharsono, H. Suyono, M. A. Muslim
The sun emits light which is solar radiation energy. This solar radiation energy can be utilized for humans, including by changing the energy of solar radiation into electrical energy. Radiation energy is changed with the help of solar or photovoltaic panels. To increase the efficiency of electricity production in solar panels, by adding Dual Axis Tracking controls. The Dual Axis Tracking Photovoltaic system is expected that solar panels will always face the sun. Because of the deviation of the direction of the solar panel to the direction of the sun will reduce the performance of generating electricity. In this study comparing 4 dual-axis tracking design methods, namely without a controller, with PID-PSO controllers that have been studied, with PDI-FA controller, and with ANFIS-FA controller. The simulation results show that ANFIS-FA is the best controller of the four methods used. This research will be a reference to compare with other methods to obtain the best method in this study.
{"title":"Optimization on PID and ANFIS Controller on Dual Axis Tracking for Photovoltaic Based on Firefly Algorithm","authors":"Machrus Ali, Hidayatul Nurohmah, Budiman, Judi Suharsono, H. Suyono, M. A. Muslim","doi":"10.1109/ICEEIE47180.2019.8981428","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981428","url":null,"abstract":"The sun emits light which is solar radiation energy. This solar radiation energy can be utilized for humans, including by changing the energy of solar radiation into electrical energy. Radiation energy is changed with the help of solar or photovoltaic panels. To increase the efficiency of electricity production in solar panels, by adding Dual Axis Tracking controls. The Dual Axis Tracking Photovoltaic system is expected that solar panels will always face the sun. Because of the deviation of the direction of the solar panel to the direction of the sun will reduce the performance of generating electricity. In this study comparing 4 dual-axis tracking design methods, namely without a controller, with PID-PSO controllers that have been studied, with PDI-FA controller, and with ANFIS-FA controller. The simulation results show that ANFIS-FA is the best controller of the four methods used. This research will be a reference to compare with other methods to obtain the best method in this study.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125057778","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 : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981457
Quota Alief Sias, M. Andriansyah, A. Wibawa, Aripriharta, Leonel Hernandez
The battery voltage used in electric cars is usually the same as the motor and its controller voltage specifications even though the most existing available battery from the market is 12 Volt, especially in developing countries. This paper shows the energy consumption of a 48 Volt brushless motor system on various speed and voltage levels. The experiments were carried out under three different rpm speed. Various voltages were obtained from battery configurations using 12 Volt of sealed lead acid batteries. The voltage values in the experiments are 12, 24, 36 and 48 Volt. Step up (boost) DC-DC converter is used after the battery to create a constant voltage on the input side of the motor controller. The voltage performances to the motor are remain the same for all battery voltage levels because it has the same voltage input from motor controller. Energy is measured by energy meter and the results show that higher voltage require more energy at low speed and lower voltage requires more energy at medium and full speed.
{"title":"Energy Consumption of Electric Vehicle System Under Various Speed and Voltage Levels","authors":"Quota Alief Sias, M. Andriansyah, A. Wibawa, Aripriharta, Leonel Hernandez","doi":"10.1109/ICEEIE47180.2019.8981457","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981457","url":null,"abstract":"The battery voltage used in electric cars is usually the same as the motor and its controller voltage specifications even though the most existing available battery from the market is 12 Volt, especially in developing countries. This paper shows the energy consumption of a 48 Volt brushless motor system on various speed and voltage levels. The experiments were carried out under three different rpm speed. Various voltages were obtained from battery configurations using 12 Volt of sealed lead acid batteries. The voltage values in the experiments are 12, 24, 36 and 48 Volt. Step up (boost) DC-DC converter is used after the battery to create a constant voltage on the input side of the motor controller. The voltage performances to the motor are remain the same for all battery voltage levels because it has the same voltage input from motor controller. Energy is measured by energy meter and the results show that higher voltage require more energy at low speed and lower voltage requires more energy at medium and full speed.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"179 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123725197","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 : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981480
M. A. Habibi, A. Kusumawardana, S. Wibawanto, H. Wicaksono, Yogi Dwi Mahandi, Mahfud Jiono
Recently, researchers have been writing the extension of motor pump electrically. These works embrace the scholar to find alternative way which is improving system of Wireless Power Transfer (WPT). Different methods of wireless power system were explained. Frequency control strategy is needed for improving better efficiency. This paper presents the numerical simulation for adjusting the frequency of wireless system which is increasing the electrical power. Based on experimental, after determining the value of circuit parameters, the apparent power input and output were calculated and simulated. On the middle range frequency, the system largest apparent powers (S1 = 37.76 mVA and S4 = 29.3 mVA) and the efficiency η = 77.59 % was produced at the resonance angular frequency ω= 283132 rad/s. The obtained results encourage the the electrical pump to bebuilt wirelessly. The results show the most efficient power in the proper frequency. Controlling the frequency at its resonance condition is needed for maintaining the best performance of the wireless motor pump system.
{"title":"Efficient Electric Water PumpUsing Frequency Based Power Transmission","authors":"M. A. Habibi, A. Kusumawardana, S. Wibawanto, H. Wicaksono, Yogi Dwi Mahandi, Mahfud Jiono","doi":"10.1109/ICEEIE47180.2019.8981480","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981480","url":null,"abstract":"Recently, researchers have been writing the extension of motor pump electrically. These works embrace the scholar to find alternative way which is improving system of Wireless Power Transfer (WPT). Different methods of wireless power system were explained. Frequency control strategy is needed for improving better efficiency. This paper presents the numerical simulation for adjusting the frequency of wireless system which is increasing the electrical power. Based on experimental, after determining the value of circuit parameters, the apparent power input and output were calculated and simulated. On the middle range frequency, the system largest apparent powers (S1 = 37.76 mVA and S4 = 29.3 mVA) and the efficiency η = 77.59 % was produced at the resonance angular frequency ω= 283132 rad/s. The obtained results encourage the the electrical pump to bebuilt wirelessly. The results show the most efficient power in the proper frequency. Controlling the frequency at its resonance condition is needed for maintaining the best performance of the wireless motor pump system.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122982539","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 : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981422
Harits Ar Rosyid, Hidayatul Hasanah, M. I. Fathurrozi, Muhammad Iqbal Akbar
Game genres are rapidly growing with the technological advances, one of them is the endless runner that becomes favourable in recent years. One example is Flappy Bird which is a fun and popular game. Unfortunately, randomly generating obstacles for Flappy Bird game often frustrates the players due to there were no specific rules to differentiate the difficulty of an obstacle to another. For example, by chance, player A can complete 10 easy obstacles, while player B gets 10 obstacles with a high degree of difficulty. This causes unfair experiences/achievements shared on social media. Meanwhile, a good game should provide distinct difficulty playable from its elements. These problems pose a challenge to make the Flappy bird game have acceptable difficulty levels relevant to its obstacles. In this research, procedural content generation (PCG) technique is proposed to categorize the difficulty of obstacles in Flappy Bird. It combines search-based and learning-based PCG techniques. Search-based PCG is used to define the game's representation relative to a block of obstacles. Then, a bot observes and evaluates them to label the obstacle blocks. Consequently, learning-based PCG acts as the classifier to the observed obstacle blocks with more than 70% accuracy of the selected classification algorithm.
{"title":"Block-based Approach to Observe Game Content Space in Endless-runner Game","authors":"Harits Ar Rosyid, Hidayatul Hasanah, M. I. Fathurrozi, Muhammad Iqbal Akbar","doi":"10.1109/ICEEIE47180.2019.8981422","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981422","url":null,"abstract":"Game genres are rapidly growing with the technological advances, one of them is the endless runner that becomes favourable in recent years. One example is Flappy Bird which is a fun and popular game. Unfortunately, randomly generating obstacles for Flappy Bird game often frustrates the players due to there were no specific rules to differentiate the difficulty of an obstacle to another. For example, by chance, player A can complete 10 easy obstacles, while player B gets 10 obstacles with a high degree of difficulty. This causes unfair experiences/achievements shared on social media. Meanwhile, a good game should provide distinct difficulty playable from its elements. These problems pose a challenge to make the Flappy bird game have acceptable difficulty levels relevant to its obstacles. In this research, procedural content generation (PCG) technique is proposed to categorize the difficulty of obstacles in Flappy Bird. It combines search-based and learning-based PCG techniques. Search-based PCG is used to define the game's representation relative to a block of obstacles. Then, a bot observes and evaluates them to label the obstacle blocks. Consequently, learning-based PCG acts as the classifier to the observed obstacle blocks with more than 70% accuracy of the selected classification algorithm.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124085189","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 : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981477
I. Wahyono, I. Fadlika, Khoirudin Asfani, H. Putranto, J. Hammad, Sunarti
The development of industrial technology 4.0 used many intelligent applications, especially in the life of human interaction. Some application technologies including laboratory applications that can be accessed anywhere and anytime. In recent years, there had been many laboratory applications developed but they had not interacted with users, especially the users' capabilities. To overcome these problems, an intelligent laboratory application was needed that can be used directly by the user based on the abilities and desires of the user. This research developed a new intelligent laboratory based on personalized adaptive users where the laboratory was used based on the user's abilities and desires. This laboratory used artificial intelligence. The artificial intelligence algorithm used in intelligent laboratories was Fuzzy and Decision Tree. The fuzzy algorithm was used to select the ability of users while the Decision Tree was used for decisions to continue using modules in the laboratory-based on user results and feedback. Testing of this research experiment with Personalized Adaptive Laboratory (PAL) capabilities obtained an average accuracy of 70%.
{"title":"New Adaptive Intelligence Method for Personalized Adaptive Laboratories","authors":"I. Wahyono, I. Fadlika, Khoirudin Asfani, H. Putranto, J. Hammad, Sunarti","doi":"10.1109/ICEEIE47180.2019.8981477","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981477","url":null,"abstract":"The development of industrial technology 4.0 used many intelligent applications, especially in the life of human interaction. Some application technologies including laboratory applications that can be accessed anywhere and anytime. In recent years, there had been many laboratory applications developed but they had not interacted with users, especially the users' capabilities. To overcome these problems, an intelligent laboratory application was needed that can be used directly by the user based on the abilities and desires of the user. This research developed a new intelligent laboratory based on personalized adaptive users where the laboratory was used based on the user's abilities and desires. This laboratory used artificial intelligence. The artificial intelligence algorithm used in intelligent laboratories was Fuzzy and Decision Tree. The fuzzy algorithm was used to select the ability of users while the Decision Tree was used for decisions to continue using modules in the laboratory-based on user results and feedback. Testing of this research experiment with Personalized Adaptive Laboratory (PAL) capabilities obtained an average accuracy of 70%.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130211644","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 : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981458
M. Wati, H. S. Pakpahan, Anton Prafanto, Fahmi Akbar, Haviluddin, Ade Widyatama Dian Boernama
The data from Ministry of Health Indonesia in the report infoDATIN 2017 mention that the Chronic kidney disease was the 27th leading cause of death globally then upward to 18th in 2010. In the report also states that chronic kidney disease prevalence increases with the rising in elderly population and also the increased cases of diabetes mellitus and hypertension. The difficulty of early detection is one reason for the study of the disease. The C4.5 algorithm is used to obtain a model for detecting chronic kidney disease. The classification model was built using 400 patient data as a dataset and 24 attributes in the form of symptoms suffered by patients. The C4.5 algorithm generates the decision tree so that it is simple to implement the classification model formed into the software with the ways a decision tree translated into classification rules. This algorithm was chosen because some other research in the same study case also shows the results that the C4.5 algorithm has an accuracy rate above 5O%. The results of the model testing produced by the C4.5 algorithm show the accuracy rate is 97.50% and a precision rate is 97.33% with a ROC curve (AUC) of 0.978. Thus, the software was built using the C4.5 classification model for diagnose Chronic kidney disease diagnosis has an excellent classification category.
{"title":"Application of C4.5 Classification Algorithm for Chronic Kidney Disease Diagnosis","authors":"M. Wati, H. S. Pakpahan, Anton Prafanto, Fahmi Akbar, Haviluddin, Ade Widyatama Dian Boernama","doi":"10.1109/ICEEIE47180.2019.8981458","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981458","url":null,"abstract":"The data from Ministry of Health Indonesia in the report infoDATIN 2017 mention that the Chronic kidney disease was the 27th leading cause of death globally then upward to 18th in 2010. In the report also states that chronic kidney disease prevalence increases with the rising in elderly population and also the increased cases of diabetes mellitus and hypertension. The difficulty of early detection is one reason for the study of the disease. The C4.5 algorithm is used to obtain a model for detecting chronic kidney disease. The classification model was built using 400 patient data as a dataset and 24 attributes in the form of symptoms suffered by patients. The C4.5 algorithm generates the decision tree so that it is simple to implement the classification model formed into the software with the ways a decision tree translated into classification rules. This algorithm was chosen because some other research in the same study case also shows the results that the C4.5 algorithm has an accuracy rate above 5O%. The results of the model testing produced by the C4.5 algorithm show the accuracy rate is 97.50% and a precision rate is 97.33% with a ROC curve (AUC) of 0.978. Thus, the software was built using the C4.5 classification model for diagnose Chronic kidney disease diagnosis has an excellent classification category.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115422157","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 : 2019-10-01DOI: 10.1109/ICEEIE47180.2019.8981451
I. K. Swardika, P. A. W. Santiary, I Nyoman Eddy Indrayana
Excessive energy consumption is of concern to the world today. One of the largest energy consumption through many sectors included supporting facilities is tourism. Bali is the most excellent tourism resort through the precious supporting facility. Modern and comport facility is more attractive now. Electricity supply becomes an issue. It is important to control the uses of excessive energy that emitted carbon and cost. The growth of electricity demands becomes on an exponential scale. In order to keep the sustainability of the environment, the existence of non-tourism industries relate is restrictive. Monitoring and active management energy patterns most effective rather than investing in renewable energy. This paper proposes a method to build community-based initiatives for reducing carbon emissions and saving energy by using nighttime satellite data. This paper consists of detail of procedural to obtain an index of radiance threshold class. The index has three criteria class; ambient, moderate and excessive. The radiance threshold class determined from cross-analysis of nighttime satellite data with light meter surveys through regression analysis. The histogram radiance distribution reveals the profile of the class criteria. The moderate class becomes key to attention. It can be used to reveal any aspect of spatial-temporal dynamical of urban cycle. This paper proposed a new method for assessing the uses of electricity by applying the satellite remote sensing technology.
{"title":"Radiance Threshold of Nighttime Satellite Data for Green Zone Energy Mapping","authors":"I. K. Swardika, P. A. W. Santiary, I Nyoman Eddy Indrayana","doi":"10.1109/ICEEIE47180.2019.8981451","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981451","url":null,"abstract":"Excessive energy consumption is of concern to the world today. One of the largest energy consumption through many sectors included supporting facilities is tourism. Bali is the most excellent tourism resort through the precious supporting facility. Modern and comport facility is more attractive now. Electricity supply becomes an issue. It is important to control the uses of excessive energy that emitted carbon and cost. The growth of electricity demands becomes on an exponential scale. In order to keep the sustainability of the environment, the existence of non-tourism industries relate is restrictive. Monitoring and active management energy patterns most effective rather than investing in renewable energy. This paper proposes a method to build community-based initiatives for reducing carbon emissions and saving energy by using nighttime satellite data. This paper consists of detail of procedural to obtain an index of radiance threshold class. The index has three criteria class; ambient, moderate and excessive. The radiance threshold class determined from cross-analysis of nighttime satellite data with light meter surveys through regression analysis. The histogram radiance distribution reveals the profile of the class criteria. The moderate class becomes key to attention. It can be used to reveal any aspect of spatial-temporal dynamical of urban cycle. This paper proposed a new method for assessing the uses of electricity by applying the satellite remote sensing technology.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114648103","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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