Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal KOMPUTIKA - Jurnal Sistem Komputer
Hani Irmayanti
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Algoritma Fuzzy Logic dalam Pengklasifikasian Tugas Akhir Hani Irmayanti
Komputika : Jurnal Sistem Komputer Vol 7 No 2 (2018): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.722 KB) | DOI: 10.34010/komputika.v7i2.1401

Abstract

This study aims to determine how much the accuracy of the use of Fuzzy Logic Algorithm in the Final Task classification. The method used is Fuzzy K-Nearest Neighbor (KNN). The first step in the process is to do Text Preprocessing to find out what terms will be carried out for the next process, then weighting each term using the TF.IDF algorithm, after weighting, the terms of testing with the training term using Cosine Similarity are calculated, the next step the similarity value will be sorted and then some data will be taken from a number of neighbor values determined to calculate the KNN and see which categories appear more, the last is calculated the accuracy value seen from the comparison of training data and testing data. The final result of accuracy is 76.67%, thus Fuzzy KNN can be used to help the process of grouping research groups. Keywords - Cosine Similarity ; KNN ; TF.IDF
Perancangan Sistem Pengambilan Gambar Video Berdasarkan Pergerakan Benda Menggunakan Metode Background Subraction Susmini I Lestariningati; Hani Irmayanti; H Hawari
Komputika : Jurnal Sistem Komputer Vol 8 No 1 (2019): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.761 KB) | DOI: 10.34010/komputika.v8i1.1676

Abstract

In this journal a video capture system is designed based on the movement of objects with the background substraction method. This system is intended to provide an alternative to overcome the useless memory usage caused by CCTV cameras recording in real time even though there is no movement or event that occurs. This system uses the Raspberry Pi which is equipped with the Pi Camera, the use of this method is because this method is simple so it does not overload the Raspberry Pi. The system designed has been functionally tested according to the design, where the system has been able to record video images based on the movement of objects, and the system can be used with different light intensities, and has been able to distinguish objects based on size so the system can decide to record video.
Co-Authors H Hawari Susmini I Lestariningati