Sebuah Pendekatan Baru Pengembangan Aplikasi Web Cerdas Untuk Memonitor dan Menganalisa Gangguan Kualitas Daya Listrik Kampus Uin Suska Riau Menggunakan Asynchronouse JavaScript XML, S-Transform dan Support Vector Machine
Main Author: | Amillia, Fitri |
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Format: | Article info application/pdf eJournal |
Bahasa: | eng |
Terbitan: |
Fakultas Sains dan Teknologi
, 2016
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Online Access: |
http://ejournal.uin-suska.ac.id/index.php/sitekin/article/view/1294 http://ejournal.uin-suska.ac.id/index.php/sitekin/article/view/1294/1264 |
Daftar Isi:
- Now days, power quality problems are important issues; this is caused using electronic devices is increasingly widespread as information technology equipment, programmable logic controllers, adjustable speed drives, computers, industrial machinery, energy-saving lamps resulted in a change in the nature of the electrical load. The burdens of non-linear cause disturbance to the voltage waveform can result in poor quality of power. This study proposes a new approach in developing intelligent web application to monitor and analyze power quality disturbances using web programming techniques namely Asynchronous Java Script XML, S-transform technique as feature extraction and Support Vector Machine (SVM) as classifier. The test results using K-fold cross validation technique showed that the average accuracy of the system to identified power quality disturbances is 99.34%. This proves that this method is best used to identify power quality disturbances on the web; it can be access anywhere and at anytime. Keywords:Electrical power quality, Asynchronous Java Script XML,S -transform, Support Vector Machine