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
ABSTRACT: 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
Penulis: Fitri Amillia
Kode Jurnal: jptindustridd150259
