Pub Date : 2018-10-01DOI: 10.1109/eecsi.2018.8752722
{"title":"EECSI 2018 Technical Program Committee","authors":"","doi":"10.1109/eecsi.2018.8752722","DOIUrl":"https://doi.org/10.1109/eecsi.2018.8752722","url":null,"abstract":"","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"107 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86705808","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752852
Gess Fathan, T. B. Adji, R. Ferdiana
Recommendation system is developed to match consumers with product to meet their variety of special needs and tastes in order to enhance user satisfaction and loyalty. The popularity of personalized recommendation system has been increased in recent years and applied in several areas include movies, songs, books, news, friend recommendations on social media, travel products, and other products in general. Collaborative Filtering methods are widely used in recommendation systems. The collaborative filtering method is divided into neighborhood-based and model-based. In this study, we are implementing matrix factorization which is part of model-based that learns latent factor for each user and item and uses them to make rating predictions. The method will be trained using stochastic gradient descent and optimization of regularization hyperparameter. In the end, neighborhood-based collaborative filtering and matrix factorization with different values of regularization hyperparameter will be compared. Our result shows that matrix factorization method is better than item-based collaborative filtering method and even better with tuning the regularization hyperparameter by achieving lowest RMSE score. In this study, the used functions are available from Graphlab and using Movielens 100k data set for building the recommendation systems.
{"title":"Impact of Matrix Factorization and Regularization Hyperparameter on a Recommender System for Movies","authors":"Gess Fathan, T. B. Adji, R. Ferdiana","doi":"10.1109/EECSI.2018.8752852","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752852","url":null,"abstract":"Recommendation system is developed to match consumers with product to meet their variety of special needs and tastes in order to enhance user satisfaction and loyalty. The popularity of personalized recommendation system has been increased in recent years and applied in several areas include movies, songs, books, news, friend recommendations on social media, travel products, and other products in general. Collaborative Filtering methods are widely used in recommendation systems. The collaborative filtering method is divided into neighborhood-based and model-based. In this study, we are implementing matrix factorization which is part of model-based that learns latent factor for each user and item and uses them to make rating predictions. The method will be trained using stochastic gradient descent and optimization of regularization hyperparameter. In the end, neighborhood-based collaborative filtering and matrix factorization with different values of regularization hyperparameter will be compared. Our result shows that matrix factorization method is better than item-based collaborative filtering method and even better with tuning the regularization hyperparameter by achieving lowest RMSE score. In this study, the used functions are available from Graphlab and using Movielens 100k data set for building the recommendation systems.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"48 1","pages":"113-116"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91220885","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752800
J. T. Putra, Raka Bagus
In a distribution system, reliability index is significant to calculate system performance in continuosly distribute the electricity power to consuments. Fedeer analysed by researcher is the main electricity distributor in Tambak Aji industrial area, a developing industrial area. This research is needed to be conducted to ensure the frequent blackout is known and minimalized along with increasement of load number in the feeder. Using section technique method which divides feeder section based on sectionalizer number and detailed calculation in each load point, device failure rate, the length of conductor, and disturbance repairement duration. It was obtained Randu Garut 3 feeder reliability index of SAIFI of 1.759 faults/year, SAIDI of 4.547 hours/year as CAIDI of 2.585 hours/year.
{"title":"Reliability Analysis of Randu Garut 3 Distribution System Using Section Technique Method","authors":"J. T. Putra, Raka Bagus","doi":"10.1109/EECSI.2018.8752800","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752800","url":null,"abstract":"In a distribution system, reliability index is significant to calculate system performance in continuosly distribute the electricity power to consuments. Fedeer analysed by researcher is the main electricity distributor in Tambak Aji industrial area, a developing industrial area. This research is needed to be conducted to ensure the frequent blackout is known and minimalized along with increasement of load number in the feeder. Using section technique method which divides feeder section based on sectionalizer number and detailed calculation in each load point, device failure rate, the length of conductor, and disturbance repairement duration. It was obtained Randu Garut 3 feeder reliability index of SAIFI of 1.759 faults/year, SAIDI of 4.547 hours/year as CAIDI of 2.585 hours/year.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"29 1","pages":"379-384"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89158539","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752895
Hartawan Sugihono, R. B. Widodo, Oesman Hendra Kelana
Disability is a person's condition in the physical, intellectual, mental, and/or sensory limitations in the long term. This study is reserved for those who do not have the lower arm in order to operate the computer normally. This study uses orientation sensor on the smartphone as the main sensor to move the cursor and click. Delivery of data from smartphone to computer is using Bluetooth. This study will compare two gestures from a combination of orientation sensors on the upper arm: gesture 1 using pitch-yaw motion and gesture 2 using pitch-roll motion; to move the cursor on the monitor. Left-click and right-click using ANN is to detect upper arm jerk movements. Evaluation using ISO/TS 9241-411 standard: ergonomics of human-system interaction; which includes performance evaluation and comfort of the gesture. Performance results of throughput, movement time, comfort and fatigue between gestures were not significantly different between those gestures. The result of the effort questionnaire is that gesture 1 has the highest effort on the shoulder and gesture 2 has the highest effort on the hand.
{"title":"Study of the Android and ANN-based Upper-arm Mouse","authors":"Hartawan Sugihono, R. B. Widodo, Oesman Hendra Kelana","doi":"10.1109/EECSI.2018.8752895","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752895","url":null,"abstract":"Disability is a person's condition in the physical, intellectual, mental, and/or sensory limitations in the long term. This study is reserved for those who do not have the lower arm in order to operate the computer normally. This study uses orientation sensor on the smartphone as the main sensor to move the cursor and click. Delivery of data from smartphone to computer is using Bluetooth. This study will compare two gestures from a combination of orientation sensors on the upper arm: gesture 1 using pitch-yaw motion and gesture 2 using pitch-roll motion; to move the cursor on the monitor. Left-click and right-click using ANN is to detect upper arm jerk movements. Evaluation using ISO/TS 9241-411 standard: ergonomics of human-system interaction; which includes performance evaluation and comfort of the gesture. Performance results of throughput, movement time, comfort and fatigue between gestures were not significantly different between those gestures. The result of the effort questionnaire is that gesture 1 has the highest effort on the shoulder and gesture 2 has the highest effort on the hand.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"72 1","pages":"718-723"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90956857","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752626
Ridha N. Ikhsani, D. Santjojo, S. Sakti
An injection pump was a critical aspect in the used of Quartz Crystal Microbalance (QCM) biosensor or chemical sensor in liquid. It is required that the pump should have variable speed and doesn’t introduce pressure noise to the QCM sensor. In this work, the pump was developed using a micro stepper motor with a microliter syringe. The mechanical transmission transforms the rotational displacement of the motor into a translational displacement of the syringe. The flow rate of the injection pump could affect the signal pattern indicated by a signal spike or instability of the sensor resonance frequency. The developed system successfully minimized the spike signal and improved the stability of the sensor resonance by the used of the microliter syringe pump with optimizing the reaction chamber of the QCM sensor. The flow rate of the pump can be controlled with a minimum speed of 0.7 μL/second for water. At low flow rate, there was a negligible or none of the spike signal observed during the injection and ejection of the liquid. However, at a high flow rate, few signal spikes may be observed.
{"title":"Design of Low Noise Micro Liter Syringe Pump for Quartz Crystal Microbalance Sensor","authors":"Ridha N. Ikhsani, D. Santjojo, S. Sakti","doi":"10.1109/EECSI.2018.8752626","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752626","url":null,"abstract":"An injection pump was a critical aspect in the used of Quartz Crystal Microbalance (QCM) biosensor or chemical sensor in liquid. It is required that the pump should have variable speed and doesn’t introduce pressure noise to the QCM sensor. In this work, the pump was developed using a micro stepper motor with a microliter syringe. The mechanical transmission transforms the rotational displacement of the motor into a translational displacement of the syringe. The flow rate of the injection pump could affect the signal pattern indicated by a signal spike or instability of the sensor resonance frequency. The developed system successfully minimized the spike signal and improved the stability of the sensor resonance by the used of the microliter syringe pump with optimizing the reaction chamber of the QCM sensor. The flow rate of the pump can be controlled with a minimum speed of 0.7 μL/second for water. At low flow rate, there was a negligible or none of the spike signal observed during the injection and ejection of the liquid. However, at a high flow rate, few signal spikes may be observed.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"4 1","pages":"598-602"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72742517","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752850
I. Pakaya, Zulfatman Has, Annas Alif Putra
The instability of energy resources and corresponding cost of the system are the main two problems for designing the hybrid solar-wind power generation systems. The configuration of the system must have a high reliability on the power supply availability but with a minimum cost. The purpose of this paper is to find the most optimum or balanced configuration between technical reliability and total annual cost for the PV module number, the wind turbine number, and the battery number. The appropriate strategy of load management is needed by adjusting the potential energy resource to the load power demand. Loss of Power Supply Probability (LPSP) is a method to determine the ratio of power generation unavailability by the system configuration which used as technical analysis. Annualized Cost of System (ACS) is a method to determine the total annualized cost of the project lifetime which used as economic analysis. The result from the simulation showed that the Differential Evolution (DE) algorithm can be an alternative method to find the best configuration with a low number of LPSP and ACS. Since DE has a better efficacy and faster time to find global optimum than other algorithms.
{"title":"Sizing Optimization and Operational Strategy of Hres (PV-WT) using Differential Evolution Algorithm","authors":"I. Pakaya, Zulfatman Has, Annas Alif Putra","doi":"10.1109/EECSI.2018.8752850","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752850","url":null,"abstract":"The instability of energy resources and corresponding cost of the system are the main two problems for designing the hybrid solar-wind power generation systems. The configuration of the system must have a high reliability on the power supply availability but with a minimum cost. The purpose of this paper is to find the most optimum or balanced configuration between technical reliability and total annual cost for the PV module number, the wind turbine number, and the battery number. The appropriate strategy of load management is needed by adjusting the potential energy resource to the load power demand. Loss of Power Supply Probability (LPSP) is a method to determine the ratio of power generation unavailability by the system configuration which used as technical analysis. Annualized Cost of System (ACS) is a method to determine the total annualized cost of the project lifetime which used as economic analysis. The result from the simulation showed that the Differential Evolution (DE) algorithm can be an alternative method to find the best configuration with a low number of LPSP and ACS. Since DE has a better efficacy and faster time to find global optimum than other algorithms.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"66 1","pages":"182-188"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73838318","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752768
Een Hutama Putra, Zulfatman Has, M. Effendy
This study aims to design a control scheme that is capable to improve performance and efficiency of brushless DC motor (BLDC) in operating condition. The control scheme is composed of sliding mode controller (SMC) with proportional-integral-derivative (PID) sliding surface. The PID sliding surface is used to improve the system transient response. Then, the SMC-PID is optimized by genetic algorithm optimization for further improvement on the stability and robustness against nonlinearities and disturbances. Chattering problem that appear in the SMC is minimized by employing an adaptive switching gain for the SMC that is integrated with Luenberger Observer. Lyapunov function candidate is applied to guarantee the stability of the system. Simulation on the proposed work is done in Matlab Simulink. Results of the simulation works indicate that the proposed control scheme can improve the transient response, the stability and robustness of the BLDC motor compared to the conventional SMC in the existence of nonlinearities and disturbances.
{"title":"Robust Adaptive Sliding Mode Control Design with Genetic Algorithm for Brushless DC Motor","authors":"Een Hutama Putra, Zulfatman Has, M. Effendy","doi":"10.1109/EECSI.2018.8752768","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752768","url":null,"abstract":"This study aims to design a control scheme that is capable to improve performance and efficiency of brushless DC motor (BLDC) in operating condition. The control scheme is composed of sliding mode controller (SMC) with proportional-integral-derivative (PID) sliding surface. The PID sliding surface is used to improve the system transient response. Then, the SMC-PID is optimized by genetic algorithm optimization for further improvement on the stability and robustness against nonlinearities and disturbances. Chattering problem that appear in the SMC is minimized by employing an adaptive switching gain for the SMC that is integrated with Luenberger Observer. Lyapunov function candidate is applied to guarantee the stability of the system. Simulation on the proposed work is done in Matlab Simulink. Results of the simulation works indicate that the proposed control scheme can improve the transient response, the stability and robustness of the BLDC motor compared to the conventional SMC in the existence of nonlinearities and disturbances.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"2 1","pages":"330-335"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75658284","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752718
J. Suroso, Eva Nurul Jamilah
At present the cellular operator is faced with difficult conditions, where the customer growth rate is at its peak. In terms of income, there was also a decline in growth because legacy services (voice & SMS) tended to decline due to threats from OTT. Therefore, a strategy is needed to survive this condition, one of which is to look at the digital market. The digital service business development strategy is carried out to be able to increase the company's revenue through the implementation of Machine to Machine (M2M) services given the promising potential and support of the digital ecosystem. But in reality, the implementation of digital services has not been able to have a significant impact on the company's revenue growth so that a new strategy is needed with a service innovation. This study aims to model M2M digital services into the Smart Connected Motorbike (SCM) service, as well as analyze the service delivery business model in the PT. XYZ so that it is expected to become a new source of income for cellular operators of PT. XYZ. Furthermore, this research will do investment analysis in machine to machine application. Moreover, this research also indicated that this implementation is also feasible to increase the company's earnings.
{"title":"Investment Analysis of Smart Connected Motorbike in Machine to Machine Application in Indonesia","authors":"J. Suroso, Eva Nurul Jamilah","doi":"10.1109/EECSI.2018.8752718","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752718","url":null,"abstract":"At present the cellular operator is faced with difficult conditions, where the customer growth rate is at its peak. In terms of income, there was also a decline in growth because legacy services (voice & SMS) tended to decline due to threats from OTT. Therefore, a strategy is needed to survive this condition, one of which is to look at the digital market. The digital service business development strategy is carried out to be able to increase the company's revenue through the implementation of Machine to Machine (M2M) services given the promising potential and support of the digital ecosystem. But in reality, the implementation of digital services has not been able to have a significant impact on the company's revenue growth so that a new strategy is needed with a service innovation. This study aims to model M2M digital services into the Smart Connected Motorbike (SCM) service, as well as analyze the service delivery business model in the PT. XYZ so that it is expected to become a new source of income for cellular operators of PT. XYZ. Furthermore, this research will do investment analysis in machine to machine application. Moreover, this research also indicated that this implementation is also feasible to increase the company's earnings.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"296 1","pages":"67-71"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74991444","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 : 2018-10-01DOI: 10.1109/EECSI.2018.8752721
N. Mardiyah, N. Setyawan, Bella Retno, Zulfatman Has
In this paper, we start to investigate the sensor fault problem in a Wind Turbine model with Fault Tolerant Control (FTC). FTC is used to allow the parameters of the controller to be reconfigured in accordance error information obtained online from sensors to improve the stability and overall performance of the system when an error occurs. The design is divided into two parts. The first part is designed Sliding Mode Observer (SMO) based Fault Detection Filter (FDF) to generate a residual signal to estimate fault. FDF is designed to maximize sensitivity fault. The second is a design output feedback control and Fault Compensation to guarantee the stability and performance system from disturbance by ignoring faults.Moreover, the function of fault compensation is to minimize effect fault of the system. The main contribution of this research is FTC proved to solve the sensor fault problem in a Wind Turbine model. The simulation showed the effectiveness of this method to estimate the fault and stabilized the system faster to a steady condition.
{"title":"Active Fault Tolerance Control For Sensor Fault Problem in Wind Turbine Using SMO with LMI Approach","authors":"N. Mardiyah, N. Setyawan, Bella Retno, Zulfatman Has","doi":"10.1109/EECSI.2018.8752721","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752721","url":null,"abstract":"In this paper, we start to investigate the sensor fault problem in a Wind Turbine model with Fault Tolerant Control (FTC). FTC is used to allow the parameters of the controller to be reconfigured in accordance error information obtained online from sensors to improve the stability and overall performance of the system when an error occurs. The design is divided into two parts. The first part is designed Sliding Mode Observer (SMO) based Fault Detection Filter (FDF) to generate a residual signal to estimate fault. FDF is designed to maximize sensitivity fault. The second is a design output feedback control and Fault Compensation to guarantee the stability and performance system from disturbance by ignoring faults.Moreover, the function of fault compensation is to minimize effect fault of the system. The main contribution of this research is FTC proved to solve the sensor fault problem in a Wind Turbine model. The simulation showed the effectiveness of this method to estimate the fault and stabilized the system faster to a steady condition.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"44 1","pages":"336-340"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76494245","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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