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Judi Prajetno Sugiono
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Implementasi Fast Fourier Transform dalam Pengembangan Alat dan Bantuan Program Untuk Mengukur Total Harmonic Distortion setya - ardhi; Judi Prajetno Sugiono; Hari Sutikno; Ivan B. Sasaka
SMATIKA JURNAL Vol 9 No 01 (2019): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (746.082 KB) | DOI: 10.32664/smatika.v9i01.238

Abstract

Total Harmonic Distortion (THD) is one parameter that states the quality of an electrical signal that is to be used compared to pure sinusoidal signals. THD is a measure that states how much the signal is no longer shaped like the original. With Fourier Analysis, the THD magnitude is expressed as a comparison of the geometric mean of the root number of the harmonic square of the frequency fundamental.This study aims to build a THD measuring device using the AVR microcontroller to digitally calculate THD. Calculation of signal harmonics in Fourier series is not done in the traditional way, but is done using the Fast Fourier Transform (FFT) algorithm. This algorithm in numerical computation will provide a better calculated speed compared to traditional calculations. The measuring device is test using several forms of signals, then the results will be compared with results calculated on a computer. The results of the trial show that this method can provide accuracy in measuring the THD size of a signal properly.
Sistem Pendukung Keputusan Rekomendasi Penilaian Kinerja Karyawan Untuk Menentukan Status Pemberian Reward Level Operator dan Foreman Menggunakan Metode Adaptive Neuro Fuzzy Inference System (ANFIS) Sandy Irawan; Judi Prajetno Sugiono
SMATIKA JURNAL Vol 10 No 02 (2020): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v10i02.501

Abstract

Employees are required to have a good work ethic to advance their company. This causes many companies to motivate their employees in various ways. The general goal is for better and more stable employee performance so that it benefits the company. Rewards are given to employees who excel and can achieve certain targets, this is more effective in motivating employees than punishment so that it can be a source of motivation for employees to work optimally. In giving rewards, sometimes employees do not match the results of their performance and without applying good calculations. For that, we need a recommendation system to support employee performance appraisal to get rewards. One of the methods used is the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. This method was chosen because it can complete employee performance appraisals based on predetermined criteria and is used as a reference in giving rewards. The amount of data obtained and will be used is several 537employee data which will be divided into two data, namely training data which functions as a model of 524 data, and test data which functions to test the system of 13 data and obtained the model validation calculation value of 0.867189 or 87%.
Co-Authors Hari Sutikno Ivan B. Sasaka Sandy Irawan setya - ardhi