Sistem Absensi Menggunakan Wajah Pada Jaringan Syaraf Tiruan Dengan Algoritma Learning Vector Quantization (LVQ)

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DAFTAR PUSTAKA

Andri., 2012. Implementasi segmentasi citra dan algoritma learning vector quantization
(LVQ) dalam pengenalan bentuk botol. Medan.
Fizhta,Aulia., 2015. Perbandingan Kecepatan Dan Ketepatan Antara Learning Vector
Quantization Dan Kohonen Pada Identifikasi Penyakit
Leukemia. Universitas Sumatera Utara.
Ginting, Emnitra BR., 2013. Kombinasi Algoritma Jaringan Syaraf Tiruan Learning
Vector Quantization (LVQ) Dan Self Organizing Kohonen Pada
Kecepatan Pengenalan Pola Tanda Tangan. Universitas Sumatera Utara.
Hagan, Martin T., Demuth,Howard B., Beale,Mark Hudson., Jesus, Orlando
De 2014. Neural Network Design. Oklahoma State University.
He, Ran dkk., 2017. Learning structured ordinal measures for video based face
recognition. Elsevier Ltd : Amsterdam, Netherlands
Kohonen, Teuvo dkk., A program package for the correct application of Learning
Vector Quantization algorithms. Helsinki University of Technology Laboratory
of Computer and Information Science Rakentajanaukio 2 C, SF-02150 Espoo,
Finland.
Kohonen, Teuvo dkk., 1996. LVQ PAK: The Learning Vector Quantization

Program Package. Finland.
Kumar, Gaurav dkk., 2016. Learning Vector Quantization Neural Network Based
External Fault Diagnosis Model for Three Phase Induction Motor Using
Current Signature Analysis. Cochin, India
Lin, Shang-Hung dkk., 1997. Face Recognition/Detection by Probabilistic DecisionBased Neural Network. IEEE TRANSACTIONS ON NEURAL NETWORKS,
VOL. 8, NO. 1
Mahrina, Tengku., 2014. ANALISIS PERBANDINGAN BACKPROPAGATION
DENGAN LEARNING VECTOR QUANTIZATION (LVQ) UNTUK
MEMPREDIKSI CURAH HUJAN DI KOTA MEDAN. Universitas Sumatera
Utara.
Kurniati, Yayang. 2015., Implementasi Metode Bidirectional Associative Memory
Pada Absensi Berbasis Identifikasi Wajah (Studi Kasus : Mahasiswa FasilkomTI USU). Universitas Sumatera Utara.

Universitas Sumatera Utara

60

Marzuki, Akhmad dkk., 2016. Classification of Humans State Emotion from
Physological Signal Pattern using Pulse Sensor Based on Learning Vector
Quantization. Surabaya, Indonesia.

Nugraha, Praditio Aditya dkk., 2013. Perbandingan Metode Probabilistik Naïve
Bayesian Classifier dan Jaringan Syaraf Tiruan Learning Vector Quantization
dalam Kasus Klasifikasi Penyakit Kandungan. Surakarta.
Risky Meliawati dkk., 2016. PENERAPAN METODE LEARNING VECTOR
QUANTIZATION (LVQ) PADA PREDIKSI JURUSAN DI SMA PGRI 1
BANJARBARU. Banjarbaru, Kalimantan selatan
Safwandi. 2015., ANALISA SISTEM PENDETEKSIAN WARNA KULIT DAN
WAJAH SENYUM DENGAN MENGUNAKAN METODE LEARNING
VECTOR QUANTIZATION. FMIPA UNLAM. Universitas Sumatera Utara.
Sato, Atsushi & Keiji Yamada., Generalized Learning Vector Quantization.
Kawasaki, Japan. Information Technology Research Laboratories, NEC
Corporation.
Sharma, Abhilash and Gupta, Rajani., 2015. IRIS RECOGNITION BASED
LEARNING VECTOR QUANTIZATION AND LOCAL BINARY
PATTERNS ON IRIS MATCHING. Bhopal, Madhya Pradesh.
Siang, Jong Jek. 2009., Jaringan Syaraf Tiruan dan Pemrogramannya Menggunakan
Matlab. Yogyakarta. CV. ANDI OFFSET
Soulie ,Francoise Fogelman & Viennet, Emmanuel., MULTI-MODULAR MEURAL
NETWORK ARCHITECTURES : APPLICATIONS IN OPTICAL
CHARACTER AND HUMAN FACE RECOGNITION. Laboratoire de

Recherche en Informatique, Bat 490 Universite Paris Sud, 91405 Orsay Cedez,
France.
Sutojo,T, S.Si., M.Kom., dkk. 2011. Kecerdasan Buatan. Yogyakarta, Semarang.
CV.ANDI OFFSET, UDINUS.
Suyanto, S.T., M.Sc. 2007. Artificial Intelligence Searching, Reasoning, Planning dan
Learning. Bandung. Informatika Bandung

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