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Hasil Pencarian

Ditemukan 7 dokumen yang sesuai dengan query
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Akhmad Aldiya Yusuf, author
Perancangan Sistem Klasifikasi Emosi Manusia Menggunakan Elektroensefalografi (EEG) Berbasis k-NN Classifier = Human Emotion Classification System Design Using Electroencephalography (EEG) Based on k-NN Classifier
ABSTRAK Isu kesehatan mental merupakan sebuah isu yang sangat berkembang pesat pada masa ini. Remaja dan dewasa muda pada usia 16 hingga 30 tahun adalah korban utama yang menjadi penderita penyakit mentalitas. Isu kesehatan mental merupakan isu yang cukup serius dalam bidang medis dan social. Salah satu penyebab dari penyakit pada...
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2019
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UI - Skripsi Membership  Universitas Indonesia Library
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Muhammad Athoillah, author
Study comparison of svm-, k-nn- and backpropagation-based classifier
Classification is a method for compiling data systematically according to the rules that have been set previously. In recent years classification method has been proven to help many people’s work, such as image classification, medical biology, traffic light, text classification etc. There are many methods to solve classification problem. This...
Surabaya: Institut Teknologi Sepuluh Nopember, Faculty of Mathematics and Science, Muhammad Athoillah, 2015
AJ-Pdf
Artikel Jurnal  Universitas Indonesia Library
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Jayanti Yusmah Sari, author
Local line binary pattern for feature extraction on palm vein recognition
In the recent years, palm vein recognition has been studied to overcome problems in conventional systems in biometrics technology (finger print, face, and iris), such as convenience and performance. However, due to the image of palm vein that is not always clear, the veins are not segmented pro-perly, therefore, the...
[Place of publication not identified]: Institut Teknologi Sepuluh Nopember Surabaya, Faculty of Information Technology, Department of Infromatics Engineering, 2015
AJ-Pdf
Artikel Jurnal  Universitas Indonesia Library
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Sachin Naik, author
Recognizing offline handwritten mathematical expressions (me) based on a predictive approach of segmentation using k-nn classification
Recognition of handwritten mathematical expressions has been an important topic for many researchers for decades. It remains one of the most challenging and exciting areas in pattern recognition. In the recognition process of offline handwritten mathematical expressions, segmentation is the most important process. Problems in ambiguities of identifying superscript and...
Depok: Faculty of Engineering, Universitas Indonesia, 2015
UI-IJTECH 6:3 (2015)
Artikel Jurnal  Universitas Indonesia Library
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Muhammad Rias Agnini Majdi, author
Klasifikasi Alat Musik Berdasarkan Suara yang Dihasilkannya dengan Ekstraksi Fitur MFCC dan Metode Klasifikasi k-NN = Musical Instrument Classification with MFCC Feature Extraction and k‑NN Classification Method
Jenis-jenis alat musik yang digunakan dalam suatu musik adalah salah satu cara menjelaskan musik tersebut. Skripsi ini membahas penggunaan ekstraksi fitur MFCC dan metode klasifikasi k-NN untuk mengklasifikasi alat musik berdasarkan suara yang dihasilkannya. MFCC merupakan sebuah metode yang mampu mengolah sebuah data suara sehingga menghasilkan beberapa fitur yang bersifat...
Depok: Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Indonesia, 2020
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UI - Skripsi Membership  Universitas Indonesia Library
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Fifin Ayu Mufarroha, author
Hand gesture recognition using adaptive network based fuzzy inference system and k-nearest neighbor
The purpose of the study was to investigate hand gesture recognition. The hand gestures of American Sign Language are divided into three categories—namely, fingers gripped, fingers facing upward, and fingers facing sideways—using the adaptive network-based fuzzy inference system. The goal of the classification was to speed up the recognition process,...
Depok: Faculty of Engineering, Universitas Indonesia, 2017
UI-IJTECH 8:3 (2017)
Artikel Jurnal  Universitas Indonesia Library
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Fahri Alamsyah, author
Perancangan sistem pengenalan wajah menggunakan Support Vector Machine (SVM), Logistic Regression, Multi-Layer Perceptron (MLP), Gaussian Naive Bayes, K-Nearest Neighbour (KNN), Decision Tree (DT), dan Convolutional Neural Network (CNN) = Development of face recognition system using Support Vector Machine (SVM), Logistic Regression, Multi-Layer Perceptron (MLP), Gaussian Naive Bayes, K-Nearest Neighbour (KNN), Decision Tree (DT), and Convolutional Neural Network (CNN)
Dunia digital khususnya image processing berkembang seiring waktu berjalan dikarenakan kebutuhan masyarakat dan pentingnya keamanan sistem berbasis digital. Salah satu teknologi yang sangat mengalami kemajuan pesat adalah pengenalan wajah (face recognition) menggunakan artificial intelligence. Wajah seseorang yang sudah terdaftar di dalam database akan dikenali oleh sistem untuk keperluan validasi atau...
Depok: Fakultas Teknik Universitas Indonesia, 2021
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UI - Skripsi Membership  Universitas Indonesia Library