Pub Date : 2013-12-02DOI: 10.1109/ICITEED.2013.6676263
L. M. Putranto, Julian Widya Perdana, M. Isnaeni
The line outage of a power system may cause overloads on the lines, overvoltage on buses, and undervoltage on buses that can threat the power system security itself. The effect of the contingency of each power system element is vary. Power Load Performance Indexes as one of the contingency indexes can be implemented to rank the contingency level of each power system lines. N-1 contingency line is applied at 500 kV Jawa Bali Transmission System to rank the severe of contingency and to evaluate the effect of contingency of each element. Tanjung Jati-Ungaran line has the biggest contingency index which means it would be the worst scenario of the line outage.
{"title":"Contingency analysis on 500kV Jawa-Bali Transmission Line System based on Power Load Performance Index","authors":"L. M. Putranto, Julian Widya Perdana, M. Isnaeni","doi":"10.1109/ICITEED.2013.6676263","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676263","url":null,"abstract":"The line outage of a power system may cause overloads on the lines, overvoltage on buses, and undervoltage on buses that can threat the power system security itself. The effect of the contingency of each power system element is vary. Power Load Performance Indexes as one of the contingency indexes can be implemented to rank the contingency level of each power system lines. N-1 contingency line is applied at 500 kV Jawa Bali Transmission System to rank the severe of contingency and to evaluate the effect of contingency of each element. Tanjung Jati-Ungaran line has the biggest contingency index which means it would be the worst scenario of the line outage.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123542558","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676211
K. A. Nugroho, N. A. Setiawan, T. B. Adji
Mammography is known as the preferred method for breast cancer diagnosis. Researchers have proposed machine learning based methods to improve the detection of breast cancer using mammography. In this study, cascade generalization is proposed for breast cancer detection. Four Bayesian Network based methods, SVM, and C4.5 are evaluated in loose coupled cascade classifier. The Bayesian based methods are evaluated in both base level and meta level. The evaluation results show the superiority of the proposed cascade strategy compared to Bagging and single classifier approach. Naive Bayes with SMO cascade demonstrated the best result in terms of ROC area under curve of 0.903. Bayesian Network using Tabu search with SMO cascade demonstrated the best accuracy of 83.689%.
{"title":"Cascade generalization for breast cancer detection","authors":"K. A. Nugroho, N. A. Setiawan, T. B. Adji","doi":"10.1109/ICITEED.2013.6676211","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676211","url":null,"abstract":"Mammography is known as the preferred method for breast cancer diagnosis. Researchers have proposed machine learning based methods to improve the detection of breast cancer using mammography. In this study, cascade generalization is proposed for breast cancer detection. Four Bayesian Network based methods, SVM, and C4.5 are evaluated in loose coupled cascade classifier. The Bayesian based methods are evaluated in both base level and meta level. The evaluation results show the superiority of the proposed cascade strategy compared to Bagging and single classifier approach. Naive Bayes with SMO cascade demonstrated the best result in terms of ROC area under curve of 0.903. Bayesian Network using Tabu search with SMO cascade demonstrated the best accuracy of 83.689%.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129150660","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676221
R. Ferdiana
The limitations of learning interaction on distance learning produces a variety of challenges. One of the major challenges in distance learning is to convince that distance learning produces the same quality as the conventional learning. The challenge can be solved if an organization has an implementation policy of distance learning. But in fact, a distance learning is only a limited e-learning software with digitized materials. This paper will propose a standard implementation policy called Distance Learning Lifecycle Management (DLLM). DLLM integrates Computer Supported Collaborative Learning (CSCL) concept and instructional design with the agile values. As a result, DLLM will guide any organization to manage and maintain the lifecycle of distance learning dynamically.
{"title":"Distance Learning Lifecycle Management An agile approach to manage the lifecycle of a distance learning","authors":"R. Ferdiana","doi":"10.1109/ICITEED.2013.6676221","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676221","url":null,"abstract":"The limitations of learning interaction on distance learning produces a variety of challenges. One of the major challenges in distance learning is to convince that distance learning produces the same quality as the conventional learning. The challenge can be solved if an organization has an implementation policy of distance learning. But in fact, a distance learning is only a limited e-learning software with digitized materials. This paper will propose a standard implementation policy called Distance Learning Lifecycle Management (DLLM). DLLM integrates Computer Supported Collaborative Learning (CSCL) concept and instructional design with the agile values. As a result, DLLM will guide any organization to manage and maintain the lifecycle of distance learning dynamically.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129212126","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676272
S. Sasmono, N. Sinisuka, M. W. Atmopawiro, D. Darwanto
Macro Demand Spatial Approach (MDSA) is an approach introduced in long time electricity demand forecasting considering location. It will be used at transmission planning and policy decision on electricity infrastructure development in a region. In the model, MDSA combined with principal component analysis (PCA) method to determine the variables that affecting electricity demand in industrial area. The variables are different for each load sector. Hypothesis on unique variables affecting electricity demand on every load sector in the industrial area were analyzed with qualitative methods and references. The variables have no significant effect can be reduced by using PCA. The generated models tested to assess whether it still at the range of confidence level of electricity demand forecasting. At the case study, generated model for South Sumatra Subsystem as a part of Sumatra System is still in the range of confidence level.
{"title":"Macro Demand Spatial Approach (MDSA) with principal component analysis (PCA) on spatial demand forecasting for industrial area in transmission planning","authors":"S. Sasmono, N. Sinisuka, M. W. Atmopawiro, D. Darwanto","doi":"10.1109/ICITEED.2013.6676272","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676272","url":null,"abstract":"Macro Demand Spatial Approach (MDSA) is an approach introduced in long time electricity demand forecasting considering location. It will be used at transmission planning and policy decision on electricity infrastructure development in a region. In the model, MDSA combined with principal component analysis (PCA) method to determine the variables that affecting electricity demand in industrial area. The variables are different for each load sector. Hypothesis on unique variables affecting electricity demand on every load sector in the industrial area were analyzed with qualitative methods and references. The variables have no significant effect can be reduced by using PCA. The generated models tested to assess whether it still at the range of confidence level of electricity demand forecasting. At the case study, generated model for South Sumatra Subsystem as a part of Sumatra System is still in the range of confidence level.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122492633","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676232
Diandra Mayang Desyaputri, Alva Erwin, M. Galinium, Didi Nugrahadi
Recommendation system has been proposed for years as the solution of information era problem. This research strives to develop an intelligent recommendation system based on user click behavior on news websites. We extracted frequent itemsets and association rules from the web server log of a news website, performed a pre-computation of similarity between news articles, and then proposed a three-level recommendation system: based on association rule discovery, news articles on the same category, and similarity between news articles. By combining collaborative filtering approach and content-based filtering, experiment results show that the technique produces reliable news recommendation.
{"title":"News recommendation in Indonesian language based on user click behavior","authors":"Diandra Mayang Desyaputri, Alva Erwin, M. Galinium, Didi Nugrahadi","doi":"10.1109/ICITEED.2013.6676232","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676232","url":null,"abstract":"Recommendation system has been proposed for years as the solution of information era problem. This research strives to develop an intelligent recommendation system based on user click behavior on news websites. We extracted frequent itemsets and association rules from the web server log of a news website, performed a pre-computation of similarity between news articles, and then proposed a three-level recommendation system: based on association rule discovery, news articles on the same category, and similarity between news articles. By combining collaborative filtering approach and content-based filtering, experiment results show that the technique produces reliable news recommendation.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115015689","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676205
Muhammad Fathir Gumilang, Kho I Eng, M. Galinium
Kartu Jakarta Sehat (KJS) or “Jakarta Health Card” is a health insurance program proposed by current local government of DKI Jakarta through Jamkesda Dinas Kesehatan Province DKI Jakarta to the community in the form of medical treatment. KJS uses EDC ( Electronic Data Capture ) to integrate with clinic and hospital in Jakarta. This card is used to save medical data of every patient who hold the card. The research is conducted to obtain information about the usage of KJS. The method to collect the information is by interviewing the respondents and spread out questionnaire to clinics between sub-district health center and urban health center in certain area of Central Jakarta. The purpose of this research is to measure maturity level of KJS application system using COBIT Framework. As a result, it is found that the system is good enough with maturity level as follow: result DS1 (3.25), DS2 (1.73), DS5 (3.33), DS7 (1.87).
Kartu Jakarta Sehat (KJS)或“雅加达健康卡”是雅加达DKI现任地方政府通过Jamkesda Dinas Kesehatan省DKI雅加达以医疗形式向社区提出的健康保险计划。KJS使用EDC(电子数据捕获)与雅加达的诊所和医院集成。该卡用于保存每位持卡患者的医疗数据。进行这项研究是为了获得有关KJS使用情况的信息。收集信息的方法是在雅加达中部某些地区的街道卫生中心和城市卫生中心之间对受访者进行访谈，并向诊所分发调查问卷。本研究的目的是使用COBIT框架来衡量KJS应用系统的成熟度水平。结果表明，该系统的成熟度等级为:DS1 (3.25)， DS2 (1.73)， DS5 (3.33)， DS7(1.87)。
{"title":"Assessment of service maturity of “Kartu Jakarta Sehat” application system","authors":"Muhammad Fathir Gumilang, Kho I Eng, M. Galinium","doi":"10.1109/ICITEED.2013.6676205","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676205","url":null,"abstract":"Kartu Jakarta Sehat (KJS) or “Jakarta Health Card” is a health insurance program proposed by current local government of DKI Jakarta through Jamkesda Dinas Kesehatan Province DKI Jakarta to the community in the form of medical treatment. KJS uses EDC ( Electronic Data Capture ) to integrate with clinic and hospital in Jakarta. This card is used to save medical data of every patient who hold the card. The research is conducted to obtain information about the usage of KJS. The method to collect the information is by interviewing the respondents and spread out questionnaire to clinics between sub-district health center and urban health center in certain area of Central Jakarta. The purpose of this research is to measure maturity level of KJS application system using COBIT Framework. As a result, it is found that the system is good enough with maturity level as follow: result DS1 (3.25), DS2 (1.73), DS5 (3.33), DS7 (1.87).","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123350393","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676210
Todsaporn Chantarasukree, Sumonta Kasemvilas
Creating Green Application for Social Network which applies for the environment in Thailand is another way of promoting environment solutions and save energy and the environment. Bank Envi is Thailand's first online social network for environment which was developed by following the principles mentioned above and projects which uses the Bank Envi Platform. This Platform consists of 3 layers namely: Application Layer, Process Layer and Resource Layer. This application consists of Bank Envi Real time Weather, Storm Path, Real Time Environment Problem Detect and Bank Envi Alert Environment Problem. The first time this project used was from 2011 to 2013 have user one thousand more than and growing every month. Environment problems in Thailand are divided into soil, water, wind, fire, forest, pollution and others. The results show that causes of environmental problems are pollution 35%, water 20%, forest 10%, fire 10%, soil 5% and other problems 20%.
{"title":"Bank Envi: Thailand's first online social network for environment","authors":"Todsaporn Chantarasukree, Sumonta Kasemvilas","doi":"10.1109/ICITEED.2013.6676210","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676210","url":null,"abstract":"Creating Green Application for Social Network which applies for the environment in Thailand is another way of promoting environment solutions and save energy and the environment. Bank Envi is Thailand's first online social network for environment which was developed by following the principles mentioned above and projects which uses the Bank Envi Platform. This Platform consists of 3 layers namely: Application Layer, Process Layer and Resource Layer. This application consists of Bank Envi Real time Weather, Storm Path, Real Time Environment Problem Detect and Bank Envi Alert Environment Problem. The first time this project used was from 2011 to 2013 have user one thousand more than and growing every month. Environment problems in Thailand are divided into soil, water, wind, fire, forest, pollution and others. The results show that causes of environmental problems are pollution 35%, water 20%, forest 10%, fire 10%, soil 5% and other problems 20%.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122716990","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676212
Chaxiong Yukonhiatou, S. Kittitornkun, Hiroaki Kikuchi, Khamphao Sisaat, M. Terada, H. Ishii
Malware can be spread over the Internet via especially download mechanism to the victim computers. This work tries to cluster malware/bots download behavior of Top-10 malware based on 2010 and 2011 CCC (Cyber Clean Center) datasets. The datasets contain more than one million download logs collected from several independent honeypots in Japan to observe malware/bot traffic and activities. Although the daily and hourly patterns are quite similar in 2010, those of 2011 are quite different. As a result, the proposed Integral Correlation Coefficient can cluster 3 and 4 groups of Top-10 malware/bots in 2010 and 2011, respectively.
{"title":"Clustering Top-10 malware/bots based on download behavior","authors":"Chaxiong Yukonhiatou, S. Kittitornkun, Hiroaki Kikuchi, Khamphao Sisaat, M. Terada, H. Ishii","doi":"10.1109/ICITEED.2013.6676212","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676212","url":null,"abstract":"Malware can be spread over the Internet via especially download mechanism to the victim computers. This work tries to cluster malware/bots download behavior of Top-10 malware based on 2010 and 2011 CCC (Cyber Clean Center) datasets. The datasets contain more than one million download logs collected from several independent honeypots in Japan to observe malware/bot traffic and activities. Although the daily and hourly patterns are quite similar in 2010, those of 2011 are quite different. As a result, the proposed Integral Correlation Coefficient can cluster 3 and 4 groups of Top-10 malware/bots in 2010 and 2011, respectively.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126458302","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676209
Pandu Prakoso Tardan, Alva Erwin, Kho I Eng, W. Muliady
Research about text summarization has been quite an interesting topic over the years, proven by numerous number of papers related with discussion of their studies such as approaches, challenges and trends. This paper's goal is to define a measurement for text summarization using Semantic Analysis Approach for Documents in Indonesian language. The applied measurement requires Indonesian version of WordNet which had been implemented roughly. The main idea of semantic analysis is to obtain the similarity between sentences by calculating the vector values of each sentence with the title. The need ofWordNet is to define the depth of each word as being computed for word similarity. Combining all required formulas and calculations, a compact and precise summarization is produced without depriving the gist information of certain document.
{"title":"Automatic text summarization based on semantic analysis approach for documents in Indonesian language","authors":"Pandu Prakoso Tardan, Alva Erwin, Kho I Eng, W. Muliady","doi":"10.1109/ICITEED.2013.6676209","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676209","url":null,"abstract":"Research about text summarization has been quite an interesting topic over the years, proven by numerous number of papers related with discussion of their studies such as approaches, challenges and trends. This paper's goal is to define a measurement for text summarization using Semantic Analysis Approach for Documents in Indonesian language. The applied measurement requires Indonesian version of WordNet which had been implemented roughly. The main idea of semantic analysis is to obtain the similarity between sentences by calculating the vector values of each sentence with the title. The need ofWordNet is to define the depth of each word as being computed for word similarity. Combining all required formulas and calculations, a compact and precise summarization is produced without depriving the gist information of certain document.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126773578","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 : 2013-12-02DOI: 10.1109/ICITEED.2013.6676271
H. Ali
This paper presents inter-area power oscillation identification based on the synchronized PMU data. The identification is carried out during both ringdown and ambient condition. Prony analysis is used to identify the mode during ring-down condition. While, modified Yule-Walker (MYW) is deployed during ambient condition. To verify the result of identification, it is compared to modal analysis result. The benchmark two-area test system is used to demonstrated the identification process. The result shows that it is close to result from modal analysis. Thus, it indicates that both algorithms are promising for online monitoring of inter-area power oscillation.
{"title":"Inter-area power oscillation identification using synchronized ambient and ringdown data","authors":"H. Ali","doi":"10.1109/ICITEED.2013.6676271","DOIUrl":"https://doi.org/10.1109/ICITEED.2013.6676271","url":null,"abstract":"This paper presents inter-area power oscillation identification based on the synchronized PMU data. The identification is carried out during both ringdown and ambient condition. Prony analysis is used to identify the mode during ring-down condition. While, modified Yule-Walker (MYW) is deployed during ambient condition. To verify the result of identification, it is compared to modal analysis result. The benchmark two-area test system is used to demonstrated the identification process. The result shows that it is close to result from modal analysis. Thus, it indicates that both algorithms are promising for online monitoring of inter-area power oscillation.","PeriodicalId":204082,"journal":{"name":"2013 International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115874985","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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