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Journal : The Indonesian Journal of Computer Science Research

Penerapan Algoritma Haar Like Feature Untuk Deteksi Pornografi Sri Mulyatun
The Indonesian Journal of Computer Science Research Vol. 1 No. 1 (2021): January
Publisher : Hemispheres Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (424.352 KB) | DOI: 10.59095/ijcsr.v1i1.2

Abstract

In this study, researchers tried to apply the digital image method, namely the Haar-Like Feature algorithm, hm, to detect objects in pornographic videos. The input space given to the Haar-Like Feature is in the form of the x-axis, y-axis, area width, and area height that has been processed through the image labeling stage; the input space will be used to detect and determine the position of the object. The objects seen in this study are breasts and sex toys, based on a survey of 102 questions conducted by researchers who got 70 respondents. The survey results said the highest percentage of porn on the breast is 60% and sex toys 8%. The conclusion from this research is that the use of the haar-like feature algorithm can detect objects in pornographic videos and the results of the evaluation of the model with a training dataset of 4881 images get an accuracy value of 63.33%.