Payment fraud is intentional deception with the purpose of obtaining financial gain or causing loss by implicit or explicit trick, committed by many parties in order to gain significant financial benefits. That had been a major reason for personal financial losses that account over a billion losses a year. At the same time, fraud detection has been improved and currently is embraced by the cutting-edge information technology “Machine Learning”. However, majority of the available studies have been studying with the deep high-end techniques with various costly technologies, and focusing on accuracy and time of the model. They have also been limited to past fraud histories. This study is conducted with multiple machine learning techniques with the use of synthesized dataset, which is not limited to the history, and our study is performed by using the conventional open source data science tools. However, the results seem to be above the expectation.
{"title":"Study on Machine Learning Techniques with Conventional Tools for Payment Fraud Detection","authors":"Harindu Mudunkotuwa Mudunkotuwe Hitiwadi Vidanelage, Treepatchara Tasnavijitvong, Panit Suwimonsatein, P. Meesad","doi":"10.1109/ICITEED.2019.8929952","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929952","url":null,"abstract":"Payment fraud is intentional deception with the purpose of obtaining financial gain or causing loss by implicit or explicit trick, committed by many parties in order to gain significant financial benefits. That had been a major reason for personal financial losses that account over a billion losses a year. At the same time, fraud detection has been improved and currently is embraced by the cutting-edge information technology “Machine Learning”. However, majority of the available studies have been studying with the deep high-end techniques with various costly technologies, and focusing on accuracy and time of the model. They have also been limited to past fraud histories. This study is conducted with multiple machine learning techniques with the use of synthesized dataset, which is not limited to the history, and our study is performed by using the conventional open source data science tools. However, the results seem to be above the expectation.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"10 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79172663","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/ICITEED.2019.8929962
D. I. Sensuse, Ratih Keumala Sari, Aline Rogeleonick, Annisa Andarrachmi, J. Sofian Lusa, Winarni
KM readiness assessment is carried out to reduce the risk of failure when implementing KM. This study intends to reassess the KM readiness level of CSDI to obtain the current level of KM readiness of CSDI. The assessment of KM readiness in this study based on the proposed KM readiness model which developed using Systematic Review on previous relevant literature. The results of the assessment show that CSDI is ready to implement KM within the organization but need a few improvements to gain implementation successful.
{"title":"Assessing Knowledge Management Readiness of Government Institution","authors":"D. I. Sensuse, Ratih Keumala Sari, Aline Rogeleonick, Annisa Andarrachmi, J. Sofian Lusa, Winarni","doi":"10.1109/ICITEED.2019.8929962","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929962","url":null,"abstract":"KM readiness assessment is carried out to reduce the risk of failure when implementing KM. This study intends to reassess the KM readiness level of CSDI to obtain the current level of KM readiness of CSDI. The assessment of KM readiness in this study based on the proposed KM readiness model which developed using Systematic Review on previous relevant literature. The results of the assessment show that CSDI is ready to implement KM within the organization but need a few improvements to gain implementation successful.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"711 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76903501","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/ICITEED.2019.8929941
Kartika Firdausy, O. Wahyunggoro, H. A. Nugroho, M. B. Sasongko
Diabetes and its complications are major causes of death in most countries. One of the complications of diabetes is diabetic retinopathy, the disruption of vision because of the damage to the retinal blood vessels. Automatic screening of diabetic retinopathy is needed because of the increasing number of diabetic retinopathy patients and the limited number of ophthalmologists. Neovascularization (new abnormal blood vessel) is an indicator of proliferative diabetic retinopathy, which is the most advanced stage of diabetic retinopathy. The accurate detection of neovascularization is an important step for the early detection of proliferative diabetic retinopathy. This paper examines some of the current techniques used to detect neovascularization from retinal digital fundus images. Various algorithms include preprocessing steps, and image databases are discussed. This work can be used by researchers to conduct further research in the field of neovascularization detection.
{"title":"A Study on Recent Developments for Detection of Neovascularization","authors":"Kartika Firdausy, O. Wahyunggoro, H. A. Nugroho, M. B. Sasongko","doi":"10.1109/ICITEED.2019.8929941","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929941","url":null,"abstract":"Diabetes and its complications are major causes of death in most countries. One of the complications of diabetes is diabetic retinopathy, the disruption of vision because of the damage to the retinal blood vessels. Automatic screening of diabetic retinopathy is needed because of the increasing number of diabetic retinopathy patients and the limited number of ophthalmologists. Neovascularization (new abnormal blood vessel) is an indicator of proliferative diabetic retinopathy, which is the most advanced stage of diabetic retinopathy. The accurate detection of neovascularization is an important step for the early detection of proliferative diabetic retinopathy. This paper examines some of the current techniques used to detect neovascularization from retinal digital fundus images. Various algorithms include preprocessing steps, and image databases are discussed. This work can be used by researchers to conduct further research in the field of neovascularization detection.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"53 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89186233","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/ICITEED.2019.8929960
M. Isa, J. Sulistianto, Rembianov, L. Kevin, N. R. Poespawati
Perovskite solar cell (PSC) is a type of solar cell in which the active material is formed using an organicinorganic halide. PSCs have shown rapid development over the past 10 years with an increase of efficiency up to 22.11%. However, organic compounds used in the development of PSC have often failed to show strong resistance towards moisture and oxygen, thus resulting in rapid cell degradation. In order to compensate for its weak characteristics when exposed to moisture and oxygen during the fabrication process as well as operation time where ambient air is present, trap passivation is a method that can be employed to prevent charge trap state caused by the non-uniformity at the active cell interlayer surface. In this paper, we applied 3 levels of tetraethyl orthosilicate (TEOS) concentration into perovskite active layer in order to find which level of concentration brings out the best Voc, Isc and Fill Factor of the perovskite solar cell. In this research, we obtained the best result with 0.3%mol of applied TEOS additive into the perovskite active layer with Voc, Isc, and FF value of 0.76 V, 3.96 mA, and 0.4563 respectively.
{"title":"Optimization of Perovskite Solar Cell Performance using Optimized Level of Tetraethyl Orthosilicate Concentration","authors":"M. Isa, J. Sulistianto, Rembianov, L. Kevin, N. R. Poespawati","doi":"10.1109/ICITEED.2019.8929960","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929960","url":null,"abstract":"Perovskite solar cell (PSC) is a type of solar cell in which the active material is formed using an organicinorganic halide. PSCs have shown rapid development over the past 10 years with an increase of efficiency up to 22.11%. However, organic compounds used in the development of PSC have often failed to show strong resistance towards moisture and oxygen, thus resulting in rapid cell degradation. In order to compensate for its weak characteristics when exposed to moisture and oxygen during the fabrication process as well as operation time where ambient air is present, trap passivation is a method that can be employed to prevent charge trap state caused by the non-uniformity at the active cell interlayer surface. In this paper, we applied 3 levels of tetraethyl orthosilicate (TEOS) concentration into perovskite active layer in order to find which level of concentration brings out the best Voc, Isc and Fill Factor of the perovskite solar cell. In this research, we obtained the best result with 0.3%mol of applied TEOS additive into the perovskite active layer with Voc, Isc, and FF value of 0.76 V, 3.96 mA, and 0.4563 respectively.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"38 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76780152","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/ICITEED.2019.8929943
P. Aditya, E. Apriliani, D. K. Arif, Mardlijah
The development of robots is increasingly advanced now, especially for multi-robots (a group of single robots) that are capable of carrying out cooperative tasks given. With a lot of research on robots, we consider an approach that can estimate the next motion, namely the Robust Extended $H_{infty }$ filter method, which is one of the development methods of data assimilation. Data assimilation is an estimation method that requires a system model and measurement model of the system. Besides, to approach the motion of robots, the implementation of consensus control was carried out in this study. Consensus can be interpreted as an agreement, where multi-robots were observed to be controlled to meet at a point of an agreement. The results of this study are very small errors generated by estimation and consensus control methods that work well on the system.
{"title":"The Application of Robust Extended H∞ Filter and Consensus Control to The Multi-robot Motion Systems","authors":"P. Aditya, E. Apriliani, D. K. Arif, Mardlijah","doi":"10.1109/ICITEED.2019.8929943","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929943","url":null,"abstract":"The development of robots is increasingly advanced now, especially for multi-robots (a group of single robots) that are capable of carrying out cooperative tasks given. With a lot of research on robots, we consider an approach that can estimate the next motion, namely the Robust Extended $H_{infty }$ filter method, which is one of the development methods of data assimilation. Data assimilation is an estimation method that requires a system model and measurement model of the system. Besides, to approach the motion of robots, the implementation of consensus control was carried out in this study. Consensus can be interpreted as an agreement, where multi-robots were observed to be controlled to meet at a point of an agreement. The results of this study are very small errors generated by estimation and consensus control methods that work well on the system.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"5 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74340172","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/ICITEED.2019.8929947
Ruan Weihua, Wang Haipeng
This paper presents a 2.57GHz All-Digital Phase-Locked Loop(ADPLL) Based on the digital controlled Ring Oscillator, which uses a frequency and phase detector controller architecture with high resolution and wide locking range. In order to speed up the phase locking, reduce the instantaneous phase locked differential, this dissertation adopts a forward prediction method. The DCO uses 3-stage ring oscillator, the oscillator frequency is controlled by the coarse tune words(CTW) and the fine tune words(FTW), the CTW to control the output frequency fast approaching the target frequency and the FTW to control the final target frequency, in addition, in order to make the DCO work in a linear zone, a normal open oscillation circuit is designed. The layout of the ADPLL circuit is completed by 0.18um CMOS process, which area is 0.3416 mm2 (including pad). The post simulation results show that the maximum output clock frequency is over 2.57GHZ.
{"title":"A 2.57GHz All-Digital Phase-Locked Loop Based on the digital controlled Ring Oscillator","authors":"Ruan Weihua, Wang Haipeng","doi":"10.1109/ICITEED.2019.8929947","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929947","url":null,"abstract":"This paper presents a 2.57GHz All-Digital Phase-Locked Loop(ADPLL) Based on the digital controlled Ring Oscillator, which uses a frequency and phase detector controller architecture with high resolution and wide locking range. In order to speed up the phase locking, reduce the instantaneous phase locked differential, this dissertation adopts a forward prediction method. The DCO uses 3-stage ring oscillator, the oscillator frequency is controlled by the coarse tune words(CTW) and the fine tune words(FTW), the CTW to control the output frequency fast approaching the target frequency and the FTW to control the final target frequency, in addition, in order to make the DCO work in a linear zone, a normal open oscillation circuit is designed. The layout of the ADPLL circuit is completed by 0.18um CMOS process, which area is 0.3416 mm2 (including pad). The post simulation results show that the maximum output clock frequency is over 2.57GHZ.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"47 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84952873","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/ICITEED.2019.8929990
Pandu Lukhyswara, L. M. Putranto, D. D. Ariananda
In recent years, the ever-increasing demand on electricity cannot be followed by the amount of energy supply mainly produced from fossil. In order to mitigate this issue, many researches have been conducted in the field of renewable energy (RE), which aims at reducing the dependence on fossil based energy. In Indonesia, one form of RE that has a promising potential is solar power. Unfortunately, solar power has intermittent nature and thus, the output of RE plants (solar power plants) tends to be unpredictable. It has been found that there is a linear relationship between the amount of solar irradiation and the power produced by the solar power plants. This linear relationship can be exploited to predict the power produced by the solar power plant by performing forecasting on the amount of solar irradiation. This paper discusses three methods for forecasting solar irradiation. The first forecasting method discussed in this paper is multivariate linear regression. In this method, the forecasting is performed by using data on temperature, air pressure, humidity, and wind speed. The other two methods are support vector regression (SVR) and hybrid fast Fourier transform-autoregressive (FFT-AR). In these two methods, the forecasting process is performed based on the historical solar irradiation data sets. All the aforementioned three methods are applied to the solar irradiation data obtained from Cirata solar plant and the automatic weather station, the meteorology, climatology, and geophysics agency. Based on the study discussed in this paper, it can be concluded that the hybrid FFT-AR method offers a better performance than the other two methods. The hybrid FFT-AR method produces a normalized root mean square error (NRMSE) value of 7.18% for all scenarios. The smallest NRMSE is 4.5%, which is produced in FFT (99) – AR (48) hybrid model and which is used for short-term forecasting (7-days forecast period).
{"title":"Solar Irradiation Forecasting Uses Time Series Analysis","authors":"Pandu Lukhyswara, L. M. Putranto, D. D. Ariananda","doi":"10.1109/ICITEED.2019.8929990","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929990","url":null,"abstract":"In recent years, the ever-increasing demand on electricity cannot be followed by the amount of energy supply mainly produced from fossil. In order to mitigate this issue, many researches have been conducted in the field of renewable energy (RE), which aims at reducing the dependence on fossil based energy. In Indonesia, one form of RE that has a promising potential is solar power. Unfortunately, solar power has intermittent nature and thus, the output of RE plants (solar power plants) tends to be unpredictable. It has been found that there is a linear relationship between the amount of solar irradiation and the power produced by the solar power plants. This linear relationship can be exploited to predict the power produced by the solar power plant by performing forecasting on the amount of solar irradiation. This paper discusses three methods for forecasting solar irradiation. The first forecasting method discussed in this paper is multivariate linear regression. In this method, the forecasting is performed by using data on temperature, air pressure, humidity, and wind speed. The other two methods are support vector regression (SVR) and hybrid fast Fourier transform-autoregressive (FFT-AR). In these two methods, the forecasting process is performed based on the historical solar irradiation data sets. All the aforementioned three methods are applied to the solar irradiation data obtained from Cirata solar plant and the automatic weather station, the meteorology, climatology, and geophysics agency. Based on the study discussed in this paper, it can be concluded that the hybrid FFT-AR method offers a better performance than the other two methods. The hybrid FFT-AR method produces a normalized root mean square error (NRMSE) value of 7.18% for all scenarios. The smallest NRMSE is 4.5%, which is produced in FFT (99) – AR (48) hybrid model and which is used for short-term forecasting (7-days forecast period).","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"20 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79465830","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/ICITEED.2019.8929938
M. Wulandari, Basari, D. Gunawan
Biometric technology has been very highly developed as a recognition system as personal identity. Because biometric is attached to human body such as physical or behavioral. Many applications adopt biometric recognition as their security and access system such as smart house or smart building, banking access system, cellular phones and many more. Vascular pattern include vein pattern is being a very fast-growing research. Vein pattern identifies an individual from his vein features. The quality of infrared vein images need to be enhanced by increasing the contrast to extract the object from the background Many methodologies has been developed to create a robust system of recognition from feature extraction to classification method. And high developed algorithm for classification which is rapidly being developed is deep learning, Convolutional Neural Network (CNN). There are four pretrained structure of CNN that discussed in this paper, AlexNet, VGG-16, VGG-19 and GoogLeNet. AlexNet seems to be the simplest in depth. The accuracy of AlexNet is better among others with 93.92% ±0.98334.
{"title":"On the Performance of Pretrained CNN Aimed at Palm Vein Recognition Application","authors":"M. Wulandari, Basari, D. Gunawan","doi":"10.1109/ICITEED.2019.8929938","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929938","url":null,"abstract":"Biometric technology has been very highly developed as a recognition system as personal identity. Because biometric is attached to human body such as physical or behavioral. Many applications adopt biometric recognition as their security and access system such as smart house or smart building, banking access system, cellular phones and many more. Vascular pattern include vein pattern is being a very fast-growing research. Vein pattern identifies an individual from his vein features. The quality of infrared vein images need to be enhanced by increasing the contrast to extract the object from the background Many methodologies has been developed to create a robust system of recognition from feature extraction to classification method. And high developed algorithm for classification which is rapidly being developed is deep learning, Convolutional Neural Network (CNN). There are four pretrained structure of CNN that discussed in this paper, AlexNet, VGG-16, VGG-19 and GoogLeNet. AlexNet seems to be the simplest in depth. The accuracy of AlexNet is better among others with 93.92% ±0.98334.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75806530","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}
One of the key processes for converting handwriting images into digital texts is the character segmentation. It is very challenge especially for the case of segmenting the hand-writing due to intra-variations of various writing styles and overlapping of characters between consecutive characters. This paper works on Thai characters in handwriting images. Thai characters consist of different types of consonants, tones and vowels, which are written in different manners. This paper proposes the 4 directional depth first search based approach for segmenting individual characters in both vertical and horizontal cutting aspects. The vertical cut is applied to segment each text column, while the horizontal cut is applied to segment individual characters. Then, the erosion with two structuring elements is used to split overlapped consecutive characters that may be remained after the main segmentation process. The proposed method is validated with 11,949 Thai characters in handwriting images. It achieves up to 90.76 % of the successful segmentation.
{"title":"Thai Character Segmentation in Handwriting Images using Four Directional Depth First Search","authors":"Kittikhun Thongkanchorn, Sarattha Kanchanapreechakorn, Punyanuch Borwarnginn, Worapan Kusakunniran","doi":"10.1109/ICITEED.2019.8929972","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929972","url":null,"abstract":"One of the key processes for converting handwriting images into digital texts is the character segmentation. It is very challenge especially for the case of segmenting the hand-writing due to intra-variations of various writing styles and overlapping of characters between consecutive characters. This paper works on Thai characters in handwriting images. Thai characters consist of different types of consonants, tones and vowels, which are written in different manners. This paper proposes the 4 directional depth first search based approach for segmenting individual characters in both vertical and horizontal cutting aspects. The vertical cut is applied to segment each text column, while the horizontal cut is applied to segment individual characters. Then, the erosion with two structuring elements is used to split overlapped consecutive characters that may be remained after the main segmentation process. The proposed method is validated with 11,949 Thai characters in handwriting images. It achieves up to 90.76 % of the successful segmentation.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"107 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80950750","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/ICITEED.2019.8929948
Ahmad Ahmad Muthahhari, L. M. Putranto, Sarjiya, Faqih Shokhib Anugerah, Adi Priyanto, S. Isnandar, Ira Savitri
To fulfill electrical energy needs and ensure the sustainability of development in some area, generation expansion planning (GEP) is required. GEP optimizes the number, type, time and capacity of the generating units during a specified time horizon for fulfilling the demand. The optimization procedure is to minimize total cost under some technical constraints. In this paper, Long Term GEP in Sulawesi electricity system is determined considering the intermittent of renewable energy. Considering intermittent renewable energy in GEP, renewable energy proportion can increase by 9.77% to 19.32% and reduce coal energy from 75.19% to 61.67% in 2050. Another aspect is the environmental benefit of the system which the annual emission reduces from 45.8 million tons to 42 million tons. Moreover, the reserve margin increases from 42.57% to 65.3%, which make the average electricity generation costs increase from Rpl,OS6. 04/kWh to Rpl,124. 29/kWh.
{"title":"Long-Term Generation Expansion Planning in Sulawesi Electricity System Considering High Share of Intermittent Renewable Energy Resource","authors":"Ahmad Ahmad Muthahhari, L. M. Putranto, Sarjiya, Faqih Shokhib Anugerah, Adi Priyanto, S. Isnandar, Ira Savitri","doi":"10.1109/ICITEED.2019.8929948","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929948","url":null,"abstract":"To fulfill electrical energy needs and ensure the sustainability of development in some area, generation expansion planning (GEP) is required. GEP optimizes the number, type, time and capacity of the generating units during a specified time horizon for fulfilling the demand. The optimization procedure is to minimize total cost under some technical constraints. In this paper, Long Term GEP in Sulawesi electricity system is determined considering the intermittent of renewable energy. Considering intermittent renewable energy in GEP, renewable energy proportion can increase by 9.77% to 19.32% and reduce coal energy from 75.19% to 61.67% in 2050. Another aspect is the environmental benefit of the system which the annual emission reduces from 45.8 million tons to 42 million tons. Moreover, the reserve margin increases from 42.57% to 65.3%, which make the average electricity generation costs increase from Rpl,OS6. 04/kWh to Rpl,124. 29/kWh.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"72 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87407838","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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