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Hasibuan, Muhammad Azani
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SELEKSI PRODUK ERP OPEN SOURCE MENGGUNAKAN AHP: STUDI KASUS UKM PENGEMBANG PERANGKAT LUNAK
Article
info
application/pdf
Journal
oleh
Hasibuan
,
Muhammad
Azani
Terbitan:
School of Industrial and System Engineering, Telkom University, 2015
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Pencocokan dental x-ray image dengan fuzzy similarity dan least square loss function
Bachelors
oleh
Hasibuan
,
Muhammad
Azani
, author
Terbitan:
Universitas Indonesia. Fakultas Ilmu Komputer, 2008
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MEMBANGUN APLIKASI KEMAHASISWAAN BERBASIS WEB MODUL PENGELOLAAN KEGIATAN HIMPUNAN PADA SISI HIMPUNAN MENGGUNAKAN METODE ITERATIVE AND INCREMENTAL
Article
info
application/pdf
Journal
oleh
Nafiāah, Anisatun
,
Gumilang, Soni Fajar Surya
,
Hasibuan
,
Muhammad
Azani
Terbitan:
School of Industrial and System Engineering, Telkom University, 2016
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APPLICATION PROGRAMMING INTERFACES PADA APLIKASI GEO SOCIAL COMMERCE
Article
info
application/pdf
Journal
oleh
Pambudy, Ainu Faisal
,
Gumilang, Soni Fajar Surya
,
Hasibuan
,
Muhammad
Azani
Terbitan:
School of Industrial and System Engineering, Telkom University, 2015
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Sistem Informasi Pengelolaan Penjualan Aplikasi Pada Perancangan Startup Notice Dengan Metode SCRUM
Article
info
application/pdf
Journal
oleh
Kusumandari, Kurnia
,
Gumilang, Sony Fajar Surya
,
Hasibuan
,
Muhammad
Azani
Terbitan:
School of Industrial and System Engineering, Telkom University, 2017
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PENGEMBANGAN KONTEN E-LEARNING MENGGUNAKAN DESIGN SPRINTPADA MATA KULIAH MANAJEMEN PROYEK (TOPIK: PROJECT INTRODUCTION)
Article
info
application/pdf
eJournal
oleh
Subagya, Kenanda Ardhenariswari
,
Pratami, Devi
,
Hasibuan
,
Muhammad
Azani
Terbitan:
Fakultas teknik Universitas Muhammadiyah Jakarta, 2019
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Classification of Spatio-Temporal fMRI Data in the Spiking Neural Network
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eJournal
oleh
Saharuddin, Shaznoor Shakira; Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia (UTHM) 86400 Parit Raja, Batu Pahat, Johor, Malaysia.
,
Murli, Norhanifah; Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia (UTHM) 86400 Parit Raja, Batu Pahat, Johor, Malaysia.
,
Hasibuan, Muhammad Azani; Deep learning machine that employs Spiking Neural Network (SNN) is currently one of the main techniques in computational intelligence to discover knowledge from various fields. It has been applied in many application areas include health, engineering, finances, environment, and others. This paper addresses a classification problem based on a functional Magnetic Resonance Image (fMRI) brain data experiment involving a subject who reads a sentence or looks at a picture. In the experiment, Signal to Noise Ratio (SNR) is used to select the most relevant features (voxels) before they were propagated in an SNN-based learning architecture. The spatiotemporal relationships between Spatio Temporal Brain Data (STBD) are learned and classified accordingly. All the brain regions are taken from data with label star plus-04847-v7.mat. The overall results of this experiment show that the SNR method helps to get the most relevant features from the data to produced higher accuracy for Reading a Sentence instead of Looking a Picture.
Terbitan:
International Journal on Advanced Science, Engineering and Information Technology, 2018
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Related Subjects
Dental record
Fuzzy systems in medicine
NeuCube
Spatio-Temporal Brain Data (STBD)
brain data classification
feature selection
functional Magnetic Resonance Imaging (fMRI)
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