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All Journal Conference on Innovation and Application of Science and Technology (CIASTECH) Informatika : Jurnal Informatika, Manajemen dan Komputer Systemic: Information System and Informatics Journal Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Jurnal Penelitian Inovatif Ilmu Komputer untuk Masyarakat TRILOGI: Jurnal Ilmu Teknologi, Kesehatan, dan Humaniora Nusantara Journal of Computers and its Applications
Honainah Honainah
Universitsa Nurul Jadid
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Journal : Nusantara Journal of Computers and its Applications

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PENERAPAN METODE FASTER REGION CONVOLUTIONAL NEURAL NETWORK (FASTER R-CNN) UNTUK DETEKSI OTOMATIS INTERAKSI LAKI-LAKI DAN PEREMPUAN Honainah Honainah
NJCA (Nusantara Journal of Computers and Its Applications) Vol 7, No 1 (2022): Juni 2022
Publisher : Computer Society of Nahdlatul Ulama (CSNU) Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36564/njca.v7i1.254

Abstract

ABSTRACT Nurul Jadid University is a university that implements an Islamic boarding school system. One of the existing regulations at Nurul Jadid University is that it is not allowed for men and women to communicate and interact directly. However, security at Nurul Jadid University still has difficulties in monitoring and controlling this. In this case, a tool or media is needed to identify interactions between men and women so that they are known to break the rules at Nurul Jadid University. The method used in this research is Faster Region Convolutional Neural Network (R-CNN). Faster Region Convolutional Neural Network (R-CNN) is part of a deep learning architecture. The Faster Region Convolutional Neural Network (R-CNN) method can produce automatic detection between men and women through video objects on CCTV. The test results of the Faster R-CNN method used succeeded in detecting video data interacting between men and women. The level of accuracy produced by the video testing process is 89% with 99% precision and 87% recall results. Keywords: Detect, Interaction, Faster R-CNN
Co-Authors Alifia Nur Afni Lismawati Amilia agustin Anani Asmani Andi Wijaya Anis Yusrotun Nadhiroh Arika Ramadhany Ato’illah Ato’illah Fahrial Faqih Romadhoni Khuzairi Mun’im Moch. Jasri Moh Jasri Nurul Imaniyah Putri Eka Aliyatul Himma Ratri Enggar Pawening Siti Romelah Tijaniyah Tijaniyah Wahab Sya’roni Yaqin, Moh. Ainol Yuda Asror Maulana