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All Journal PROSIDING SEMINAR NASIONAL MEDIA ELEKTRIKA Prosiding Seminar Nasional Unimus
Luqman Assaffat
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Humanities Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Health Professions Nursing Public Health

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Journal : PROSIDING SEMINAR NASIONAL

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PERAMALAN BEBAN LISTRIK BULANAN SEKTOR INDUSTRI MENGGUNAKAN SUPPORT VECTOR MACHINE DENGAN VARIASI FUNGSI KERNEL Luqman Assaffat
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: PROSIDING IMPLEMENTASI PENELITIAN PADA PENGABDIAN MENUJU MASYARAKAT MANDIRI BERKEMAJUAN
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Electrical energy consumption in the industrial sector is one of the factors that accounted for the production cost, and efficiency of electrical energy use can reduce the production cost. Energy efficiency in industry can be applied by regulating the use of the electric load, it can be watched from the electrical load Characteristics. The monthly characteristics of the electrical load every can be predicted, so do the efforts to regulate the amount of load and provide electrical energy required. This research present the monthly electricity load forecasting in the industrial sector by SVM with a variety of Kernel functions. There are 3 (three) types of training data given on SVM, they are types months of the year, production data and time series data past the electrical load, with a variable input data between 1 year to 6 years. Variations Kernel functions used in SVM methods are Linear, quadratic, Gaussian RBF, polynomial and Multilayer Perceptron. This research produced the smallest forecasting MAPE of 5.33% with a 6 year input data training scheme with Gaussian RBF kernel function. Keyword: Electric Load, Monthly Forecasting, SVM, Kernel Function
PREDIKSI THD TEGANGAN SISTEM TENAGA LISTRIK MENGGUNAKAN SUPPORT VECTOR MACHINE DENGAN FUNGSI KERNEL GAUSSIAN RBF Luqman Assaffat
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2017: Prosiding Seminar Nasional Publikasi Hasil-Hasil Penelitian dan Pengabdian Masyarakat
Publisher : Universitas Muhammadiyah Semarang

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Abstract

The voltage wave distortion that occurs in the electric power system will adversely affect the operation of the power system and provide an adverse effect on the loads using the voltage. The voltage wave distortion is measured by the amount of harmonic distortion (Total Harmonics Distortion of Voltage, THD V). The level of THD V in the electric power system should always be monitored in order to anticipate the adverse effects. One method of monitoring the harmonic level is by predicting THD V. This research produces a prediction system of voltage harmonics in power system using Support Vector Machine with Gaussian Kernel RBFfunction. SVM is an intelligent machine system that has been proven superior when applied as a prediction method. This study uses three schemes in testing SVM system, they are the use of one variable as SVM training data, two variables as SVM training data, and three variables as SVM training data. The best result obtained in this research is when the prediction system of THD V using SVM is given train data with one variable that is past THD V variable, which yield MAPE 3,25%. Keywords : Forcasting, Harmonics, THD V, SVM, Gaussian RBF
ANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT HARMONISA PADA MOTOR INDUKSI TIGA FASA TIPE ROTOR SANGKAR TUPAI Luqman Assaffat
PROSIDING SEMINAR NASIONAL & INTERNASIONAL 2010: Sain, Teknologi, Kimia Sosial dan Humaniora, Kimia
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Motor induksi tiga fasa tipe rotor sangkar tupai sangat banyak dan lazim digunakan pada dunia industri, teruatama pada industri manufakturing. Walaupun motor induksi tiga fasa mempunyai banyak keuntungan dan kelebihan, terdapat beberapa sisi negatif dari penggunaan motor induksi jenis ini, yaitu timbulnya harmonisa yang dapat mengurangi kualitas daya listrik. Faktor-faktor yang mempengaruhi besarnya harmonisa yang dihasilkan oleh motor induksi tiga fasa, dapat dilakukan dengan pengujian tanpa beban, dengan alat ukur Power Quality Analyzer A3Q. Pengujian kualitas daya pada  motor induksi ini, dilakukan terhadap beberapa variabel, antara lain variabel tegangan, variabel kapasitas daya, dan variabel kecepatan motor induksi tersebut. Hasil pengujian menunjukkan bahwa Total Harmonics Distortion dari motor induksi tiga fasa tipe rotor sangkar tupai dipengaruhi oleh perubahan tegangan kerja, kapasitas daya dan kecepatan motor induksi tiga fasa tersebut. Selain itu, harmonisa urutan yang doniman muncul adalah harmonisa urutan ke tiga.  
Co-Authors Achmad Sholichan Bambang Supradono Ihwan Ernanto Wibowo M. Subhan Maulidin M. Toni Prasetyo M. Tony Prasetyo Muhamad Haddin Muhammad Iqbal Samsul Sri Arttini Dwi Prasetyawati Tanzil Ramadhan Aljufri Tomi Harmika