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All Journal Kharisma Tech Journal of Technology Research in Information System and Engineering
Richard Sam
STMIK KHARISMA Makassar
Computer Science & IT Engineering

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PERANCANGAN APLIKASI PRESENSI KELAS DENGAN MENGGUNAKAN METODE PENGENALAN WAJAH SECARA KOLEKTIF Richard Sam; Syaiful Rahman; Junaedy
KHARISMA Tech Vol 13 No 1 (2018): Jurnal KHARISMA Tech
Publisher : STMIK KHARISMA Makassar

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Abstract

The purpose of this research is to design a class presension application using Collective Facial Recognition using Haar-Cascade methods. The presension problem nowadays is really worrying. Lately, there’s a lot of presension problem, either from college students or from another acamedic instances. Which is why the author is trying to design a presension application that implements facial recognition system in classrooms to deal with this presension problem. The author uses Microsoft Visual Studio 2010 to design and create this application. The result of this research is the author managed to design and create the presension application using facial recognition with Visual Studio 2010 with accuracy rate along 71%.
PERANCANGAN APLIKASI PRESENSI KELAS DENGAN MENGGUNAKAN METODE PENGENALAN WAJAH SECARA KOLEKTIF Richard Sam; Syaiful Rahman; Junaedy
JTRISTE Vol 5 No 2 (2018)
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.817 KB)

Abstract

The purpose of this research is to design a class presension application using Collective Facial Recognition using Haar-Cascade methods. The presension problem nowadays is really worrying. Lately, there’s a lot of presension problem, either from college students or from another acamedic instances. Which is why the author is trying to design a presension application that implements facial recognition system in classrooms to deal with this presension problem. The author uses Microsoft Visual Studio 2010 to design and create this application. The result of this research is the author managed to design and create the presension application using facial recognition with Visual Studio 2010 with accuracy rate along 71%.
Co-Authors Junaedy Syaiful Rahman