Pub Date : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350770
F. H. Purwanto, Ema Utami, E. Pramono
Server room is a very important asset for a company because in there are servers that contain applications and company databases that are very valuable for the sustainability of a company, therefore the condition of the server room such as temperature, humidity, power and all IT equipment in this room should always be monitored in real time. One way that can be used to control and monitor the temperature and humidity of server room is to use an Internet of Thing (IoT) based system. This research proposed the design of server room temperature and humidity control system using fuzzy logic based on microcontroller Wemos D1 as an infrared transmitter remote control to control temperature and mode setting in Air Conditioner to control temperature and humidity of server room. Fuzzy logic based on microcontroller for control the temperature and humidity of server room was successfully designed and successfully implemented into microcontroller with simulation test results using matlab obtained the value that match with the results on the microcontroller with average AC Temperature Set output deviation 0.03500 and average AC Mode Set output deviation 0.01225. The system is also designed to be able to monitor data temperature, humidity and electricity voltage online using the website and can provide early warning message through social media twitter.
{"title":"Design of server room temperature and humidity control system using fuzzy logic based on microcontroller","authors":"F. H. Purwanto, Ema Utami, E. Pramono","doi":"10.1109/ICOIACT.2018.8350770","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350770","url":null,"abstract":"Server room is a very important asset for a company because in there are servers that contain applications and company databases that are very valuable for the sustainability of a company, therefore the condition of the server room such as temperature, humidity, power and all IT equipment in this room should always be monitored in real time. One way that can be used to control and monitor the temperature and humidity of server room is to use an Internet of Thing (IoT) based system. This research proposed the design of server room temperature and humidity control system using fuzzy logic based on microcontroller Wemos D1 as an infrared transmitter remote control to control temperature and mode setting in Air Conditioner to control temperature and humidity of server room. Fuzzy logic based on microcontroller for control the temperature and humidity of server room was successfully designed and successfully implemented into microcontroller with simulation test results using matlab obtained the value that match with the results on the microcontroller with average AC Temperature Set output deviation 0.03500 and average AC Mode Set output deviation 0.01225. The system is also designed to be able to monitor data temperature, humidity and electricity voltage online using the website and can provide early warning message through social media twitter.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"21 1","pages":"390-395"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90789152","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 : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350760
Iwan Binanto, H. Warnars, F. Gaol, E. Abdurachman, B. Soewito
There are many object-oriented software quality measurement techniques. One of them is CK metric. This paper utilizes CK metrics to measure qualities per version of an open source software namely Statcato. Measurements are done in each class, each version of the software. The measurement is used to analyze the quality of the software. This paper concludes that the quality of software has improved during its lifecycle, although its features increase.
{"title":"Measuring the quality of various version an object-oriented software utilizing CK metrics","authors":"Iwan Binanto, H. Warnars, F. Gaol, E. Abdurachman, B. Soewito","doi":"10.1109/ICOIACT.2018.8350760","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350760","url":null,"abstract":"There are many object-oriented software quality measurement techniques. One of them is CK metric. This paper utilizes CK metrics to measure qualities per version of an open source software namely Statcato. Measurements are done in each class, each version of the software. The measurement is used to analyze the quality of the software. This paper concludes that the quality of software has improved during its lifecycle, although its features increase.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"28 1","pages":"41-44"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73214582","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 : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350722
Maryamah, R. Sarno, Afina Lina Nurlaili
Process discovery is a process to observe behaviour in the event log and to build a model for the next process. In addition, it is an important process because its strength to predict the time, and cost. After constructing the model, the model has to be set into some parts by using decomposed process algorithm. So that, the result will be easier to be analyzed. A decomposed process can implementation inductive miner algorithm. However, decomposed using inductive miner have limited relation in process. To overcome this problem, this paper proposed decomposed model by using Linear Temporal Logic (LTL) to find the rule and build the process model automatically without constructing from the first step and also have many notations to formalize relation of activity. In addition, LTL is a method to build the rule and check the workflow of the process logs whether the logs have the parallel process. So that, by using the proposed method LTL will be used for getting a process model in less time with average time 1 second and more accurate result.
{"title":"Determining linear temporal logic formula for decomposed process model","authors":"Maryamah, R. Sarno, Afina Lina Nurlaili","doi":"10.1109/ICOIACT.2018.8350722","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350722","url":null,"abstract":"Process discovery is a process to observe behaviour in the event log and to build a model for the next process. In addition, it is an important process because its strength to predict the time, and cost. After constructing the model, the model has to be set into some parts by using decomposed process algorithm. So that, the result will be easier to be analyzed. A decomposed process can implementation inductive miner algorithm. However, decomposed using inductive miner have limited relation in process. To overcome this problem, this paper proposed decomposed model by using Linear Temporal Logic (LTL) to find the rule and build the process model automatically without constructing from the first step and also have many notations to formalize relation of activity. In addition, LTL is a method to build the rule and check the workflow of the process logs whether the logs have the parallel process. So that, by using the proposed method LTL will be used for getting a process model in less time with average time 1 second and more accurate result.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"25 1","pages":"466-470"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73226987","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 : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350754
A. Hanifa, Saiful Akbar
Due to the increasing of air traffic density is needed to improve flight safety level especially in approach and landing phase. A potentially risky approach phase of flight is called an unstable approach. There are related studies in detecting these conditions, including anomaly detection of flight tracks for all flight phases. Compare with Multiple Kernel and Clustering methods, Recurrent Neural Network (RNN) has advantages in term of accuracy, sensitivity towards short term anomaly, and does not require dimensional reduction to identify the flight track anomaly pattern. However, RNN require experts to identify the risk event characteristics that cause anomalies. While heuristic methods can identify anomaly patterns specifically in the approach phase or called unstable approach with rule-based for each risk event. Therefore, this study combines the two methods approach to identify the unstable approach pattern. The main focus of this research is to prepare the data until ready to do the process of model formation by preprocessing technique, then done data modelling using RNN method with architecture stacked Long Short Term Memory (LSTM), and identify the type of risk event that influence unstable approach with heuristic method. In the modelling experiment performed by tuning the optimum value for each input parameter. The optimum value for batch size = 128, epoch = 150, and optimizer is rmsprop, with accuracy value equal to 90.12%, recall value equal to 59,44%, and precision value equal to 100%. That results show that the established model has been able to classify unstable and stable approaches, with high precision value, but the recall value is still low. Therefore for future work, the more amount of unstable approach data can be used to improve performance of data training.
{"title":"Detection of unstable approaches in flight track with recurrent neural network","authors":"A. Hanifa, Saiful Akbar","doi":"10.1109/ICOIACT.2018.8350754","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350754","url":null,"abstract":"Due to the increasing of air traffic density is needed to improve flight safety level especially in approach and landing phase. A potentially risky approach phase of flight is called an unstable approach. There are related studies in detecting these conditions, including anomaly detection of flight tracks for all flight phases. Compare with Multiple Kernel and Clustering methods, Recurrent Neural Network (RNN) has advantages in term of accuracy, sensitivity towards short term anomaly, and does not require dimensional reduction to identify the flight track anomaly pattern. However, RNN require experts to identify the risk event characteristics that cause anomalies. While heuristic methods can identify anomaly patterns specifically in the approach phase or called unstable approach with rule-based for each risk event. Therefore, this study combines the two methods approach to identify the unstable approach pattern. The main focus of this research is to prepare the data until ready to do the process of model formation by preprocessing technique, then done data modelling using RNN method with architecture stacked Long Short Term Memory (LSTM), and identify the type of risk event that influence unstable approach with heuristic method. In the modelling experiment performed by tuning the optimum value for each input parameter. The optimum value for batch size = 128, epoch = 150, and optimizer is rmsprop, with accuracy value equal to 90.12%, recall value equal to 59,44%, and precision value equal to 100%. That results show that the established model has been able to classify unstable and stable approaches, with high precision value, but the recall value is still low. Therefore for future work, the more amount of unstable approach data can be used to improve performance of data training.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"R-24 1","pages":"735-740"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84741091","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 : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350826
M. Suyanto, F. W. Wibowo
A creative economy park is a place designed with using a strategic objective in collaborating technological capabilities, information and knowledge transfer, cultivation of innovative high technology enterprises and entrepreneurs, emerging new technological industries within creative economy businesses to encourage an economic development. Universitas Amikom Yogyakarta has declared as a creative economy park and known as the Amikom Creative Economy Park (ACEP). The ACEP encompasses some multimedia environments for aiming at business e.g. software development, film, television, game, radio, animation, advertising, investment advisory, and project design. As known that the multimedia is the field of multiple media sources comprising animation, audio, image, text, and video. This paper addressed at the discussion about the opportunities of the animation model in the intelligent era. The animation has been accepted by people in wider aspects and has assisted people in visual performance for entertaining, learning, modeling, etc. So the animation sector is very interested to be discussed since emerging of the intelligent multimedia fields.
{"title":"Animation opportunities of intelligent multimedia systems in developing a creative economy park","authors":"M. Suyanto, F. W. Wibowo","doi":"10.1109/ICOIACT.2018.8350826","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350826","url":null,"abstract":"A creative economy park is a place designed with using a strategic objective in collaborating technological capabilities, information and knowledge transfer, cultivation of innovative high technology enterprises and entrepreneurs, emerging new technological industries within creative economy businesses to encourage an economic development. Universitas Amikom Yogyakarta has declared as a creative economy park and known as the Amikom Creative Economy Park (ACEP). The ACEP encompasses some multimedia environments for aiming at business e.g. software development, film, television, game, radio, animation, advertising, investment advisory, and project design. As known that the multimedia is the field of multiple media sources comprising animation, audio, image, text, and video. This paper addressed at the discussion about the opportunities of the animation model in the intelligent era. The animation has been accepted by people in wider aspects and has assisted people in visual performance for entertaining, learning, modeling, etc. So the animation sector is very interested to be discussed since emerging of the intelligent multimedia fields.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"17 1","pages":"72-77"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79469980","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 : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350821
Triana Rahmawati, Ni'matul 'Abdah Adhiya Fakhriy, G. Pratama, A. Cahyadi, S. Herdjunanto
In the industrial, the level of liquid control in the tank is important. Level control in the tank can be done by manipulating the liquid flow rate, in order to obtain the appropriate level of the liquid set point. For that required selection of control mode and tuning method accordingly. Despite its popularity, PI (Proportional-Integral) control tuned with Ziegler-Nichols method, suffers from weird oscillation. In this paper, a remedy for PI controller is proposed with and the St. Clair method. As results, based on the level control of manipulated value (MV), the output trend is obtained with 0% oscillation change, the rise time is 1.71 seconds, and the settling time is 4.9 seconds. It shows a level control system with PI control and St. Clair is able to make the system stable against MV.
{"title":"A remedy design of PI controller for liquid level control","authors":"Triana Rahmawati, Ni'matul 'Abdah Adhiya Fakhriy, G. Pratama, A. Cahyadi, S. Herdjunanto","doi":"10.1109/ICOIACT.2018.8350821","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350821","url":null,"abstract":"In the industrial, the level of liquid control in the tank is important. Level control in the tank can be done by manipulating the liquid flow rate, in order to obtain the appropriate level of the liquid set point. For that required selection of control mode and tuning method accordingly. Despite its popularity, PI (Proportional-Integral) control tuned with Ziegler-Nichols method, suffers from weird oscillation. In this paper, a remedy for PI controller is proposed with and the St. Clair method. As results, based on the level control of manipulated value (MV), the output trend is obtained with 0% oscillation change, the rise time is 1.71 seconds, and the settling time is 4.9 seconds. It shows a level control system with PI control and St. Clair is able to make the system stable against MV.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"102 1","pages":"661-666"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80579233","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 : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350737
C. Khotimah, S. W. Purnami, D. Prastyo
Survival analysis is widely applied in many areas such as medicine, public health, engineering, economics, demography, and others. The initial approach has been employed for survival analysis is parametric model. Next, the semi parametric approach so-called Cox Proportional Hazard model (Cox-PHM) was developed. The parameters estimation in Cox PHM use partial likelihood function. The drawback of the Cox PHM is that it requires proportional condition in its hazard function between categories. In addition, it assumes linearity on its covariate pattern. This work employs nonparametric model so-called Additive Survival Least Square Support Vector Machines (A-SURLSSVM). The Cox PHM is used as a benchmark. The first data used in this study are generated from simulation. The second data are three health datasets in Indonesia. The performance of the proposed approach is compared with the benchmark based on the Concordance index (C-index) criterion. The higher C-index indicates better performance. In this study, application on three health datasets produce empirical results that conclude A-SURLSSVM perform better than Cox PHM for both with and without feature selection. In addition, the results of simulation study using 100 replications inform that feature selection can increase the C-index significantly. Moreover, the interaction between covariates yields the main confounder variable (the greatest probability to persist in the model) and the sub-main confounder (the most frequently excluded covariates from the model).
{"title":"Additive survival least square support vector machines and feature selection on health data in Indonesia","authors":"C. Khotimah, S. W. Purnami, D. Prastyo","doi":"10.1109/ICOIACT.2018.8350737","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350737","url":null,"abstract":"Survival analysis is widely applied in many areas such as medicine, public health, engineering, economics, demography, and others. The initial approach has been employed for survival analysis is parametric model. Next, the semi parametric approach so-called Cox Proportional Hazard model (Cox-PHM) was developed. The parameters estimation in Cox PHM use partial likelihood function. The drawback of the Cox PHM is that it requires proportional condition in its hazard function between categories. In addition, it assumes linearity on its covariate pattern. This work employs nonparametric model so-called Additive Survival Least Square Support Vector Machines (A-SURLSSVM). The Cox PHM is used as a benchmark. The first data used in this study are generated from simulation. The second data are three health datasets in Indonesia. The performance of the proposed approach is compared with the benchmark based on the Concordance index (C-index) criterion. The higher C-index indicates better performance. In this study, application on three health datasets produce empirical results that conclude A-SURLSSVM perform better than Cox PHM for both with and without feature selection. In addition, the results of simulation study using 100 replications inform that feature selection can increase the C-index significantly. Moreover, the interaction between covariates yields the main confounder variable (the greatest probability to persist in the model) and the sub-main confounder (the most frequently excluded covariates from the model).","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"6 1","pages":"326-331"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80411806","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 : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350678
Vinda Setya Kartika, M. Rivai, D. Purwanto
Spoiled meat level can be detected manually by using the senses of sight and smell. However, it can endanger the human body if the gas emitted by rotting meat exhaled directly because of the bacterial contamination. Furthermore, such classifications are inevitably somewhat subjective since everyone has different assessments of the spoiled meat. This research presents the use of semiconductor gas sensors to detect gas emitting from rotting meat as a substitute for human olfaction. In addition, a camera equipped with image processing using Grey Level Co-Occurrence Matrix is applied as a replacement for vision. The responses of gas sensor array and Grey Level Co-occurrence Matrix were processed by Neural Network to classify the spoiled meat level. The classification of Artificial Neural Networks has a high percentage of success up to 82%. This method can replace the role of human senses in meat classification automatically.
{"title":"Spoiled meat classification using semiconductor gas sensors, image processing and neural network","authors":"Vinda Setya Kartika, M. Rivai, D. Purwanto","doi":"10.1109/ICOIACT.2018.8350678","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350678","url":null,"abstract":"Spoiled meat level can be detected manually by using the senses of sight and smell. However, it can endanger the human body if the gas emitted by rotting meat exhaled directly because of the bacterial contamination. Furthermore, such classifications are inevitably somewhat subjective since everyone has different assessments of the spoiled meat. This research presents the use of semiconductor gas sensors to detect gas emitting from rotting meat as a substitute for human olfaction. In addition, a camera equipped with image processing using Grey Level Co-Occurrence Matrix is applied as a replacement for vision. The responses of gas sensor array and Grey Level Co-occurrence Matrix were processed by Neural Network to classify the spoiled meat level. The classification of Artificial Neural Networks has a high percentage of success up to 82%. This method can replace the role of human senses in meat classification automatically.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"42 1","pages":"418-423"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82472928","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 : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350697
D. Rahayu, Ema Utami, E. T. Luthfi
According to the law, legal marriage is when marriage registered by the government, this is in accordance with the provisions of article 2 paragraph (2) of law no. 1 year 1974 about marriage. A marriage registered is evidenced by the ownership of marriage certificate and marriage book of married couple. Couples who have children are obliged to report to the population and civil registry, then get birth certificates for children and family members are added to the family card. The marriage electronic card is a physical form of marriage information system by applying Radio Frequency Identification (RFID) on the card, which integrated with the website so the user can access the information using the marriage card's electronic serial number as the username. The electronic marriage card holder can change the data over the marriage permit of the marriage system website which is integrated with population and civil administration records. In this research, a marriage information system concept designed of RFID card communication model, communication between user and website, use case diagram, simple explanation of how RFID card works and responses about the concept of some informatics experts using the method of Unified Theory of Acceptance and Use of Technology (UTAUT). It is expected that this concept can be applied to support e-government of Indonesia.
{"title":"Analysis of evaluation quality website from developers perspective for build website","authors":"D. Rahayu, Ema Utami, E. T. Luthfi","doi":"10.1109/ICOIACT.2018.8350697","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350697","url":null,"abstract":"According to the law, legal marriage is when marriage registered by the government, this is in accordance with the provisions of article 2 paragraph (2) of law no. 1 year 1974 about marriage. A marriage registered is evidenced by the ownership of marriage certificate and marriage book of married couple. Couples who have children are obliged to report to the population and civil registry, then get birth certificates for children and family members are added to the family card. The marriage electronic card is a physical form of marriage information system by applying Radio Frequency Identification (RFID) on the card, which integrated with the website so the user can access the information using the marriage card's electronic serial number as the username. The electronic marriage card holder can change the data over the marriage permit of the marriage system website which is integrated with population and civil administration records. In this research, a marriage information system concept designed of RFID card communication model, communication between user and website, use case diagram, simple explanation of how RFID card works and responses about the concept of some informatics experts using the method of Unified Theory of Acceptance and Use of Technology (UTAUT). It is expected that this concept can be applied to support e-government of Indonesia.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"1 1","pages":"120-124"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83016175","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 : 2018-03-01DOI: 10.1109/ICOIACT.2018.8350788
F. Ronilaya, Achsanul Khabib, M. N. Hidayat, Indrazno Siradjudin, E. Rohadi, Rosa Andri Asmara, E. Yudaningtyas
This paper presents a double-stage micro-inverter with an isolated Sepic converter used for optimal power flow control in a small grid connected PV system. The proposed micro-inverter has two stages. Stage I is a DC-DC converter with isolated Sepic transformer and stage II is a DC-AC converter based on voltage source inverter. The main features of the proposed inverter include: high efficiency, small dimension, low cost, lightweight, and a stable AC current injection. Three controllers used comprise non-MPPT (Maximum Power Point Tracker), Constant Voltage (CV), Perturb & Observe (P&O), and Incremental Conductance (IC). To validate the effectiveness of the design, such methods are examined under different irradiance. The results show that the designed micro-inverter controlled by IC MPPT method has satisfactory performance and the efficiency is relatively higher than that of non-MPPT, CV or P&O method. Thus, it can be used as an alternative solution of micro-inverter topology.
{"title":"A double stage micro-inverter for optimal power flow control in grid connected PV system","authors":"F. Ronilaya, Achsanul Khabib, M. N. Hidayat, Indrazno Siradjudin, E. Rohadi, Rosa Andri Asmara, E. Yudaningtyas","doi":"10.1109/ICOIACT.2018.8350788","DOIUrl":"https://doi.org/10.1109/ICOIACT.2018.8350788","url":null,"abstract":"This paper presents a double-stage micro-inverter with an isolated Sepic converter used for optimal power flow control in a small grid connected PV system. The proposed micro-inverter has two stages. Stage I is a DC-DC converter with isolated Sepic transformer and stage II is a DC-AC converter based on voltage source inverter. The main features of the proposed inverter include: high efficiency, small dimension, low cost, lightweight, and a stable AC current injection. Three controllers used comprise non-MPPT (Maximum Power Point Tracker), Constant Voltage (CV), Perturb & Observe (P&O), and Incremental Conductance (IC). To validate the effectiveness of the design, such methods are examined under different irradiance. The results show that the designed micro-inverter controlled by IC MPPT method has satisfactory performance and the efficiency is relatively higher than that of non-MPPT, CV or P&O method. Thus, it can be used as an alternative solution of micro-inverter topology.","PeriodicalId":6660,"journal":{"name":"2018 International Conference on Information and Communications Technology (ICOIACT)","volume":"19 1","pages":"808-813"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89603509","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}