Background Information

Hendra Bunyamin is a lecturer who graduated from Mathematics department Bandung Institute of Technology in 1999 and Software Engineering Informatics department from the same university in 2003.

He is very passionate about teaching. Mainly, he teaches Mathematics and Programming.

His research interests are machine learning and its applications.

Research

2019

Topic Clustering and Classification on Final Project Reports: a Comparison of Traditional and Modern Approaches
IAENG International Journal of Computer Science, vol. 46, no. 3, pp 506-511, 2019

2018

Analisis Performa dan Pengembangan Sistem Deteksi Ras Anjing pada Gambar dengan Menggunakan Pre-Trained CNN Model
Jurnal Teknik Informatika dan Sistem Informasi Volume 4 Nomor 2 Agustus 2018

2018

The Relationship between Country Risk and Company Performance in Southeast Asia
Journal of Business & Retail Management Research Vol-12, Issue 3, April 2018

2018

Pemanfaatan Inverted Index pada Proses Penelusuran Kesamaan Isi File Dokumen pdf Tugas Akhir Mahasiswa
Seminar Nasional Teknologi Informasi dan Komunikasi (SENTIKA)

2017

Automatic Topic Clustering Using Latent Dirichlet Allocation with Skip-gram Model on Final Project Abstracts
The 21st International Computer Science and Engineering Conference (ICSEC)

2016

A Comparison of Retweet Prediction Approaches: The Superiority of Random Forest Learning Method
TELKOMNIKA (Telecommunication Computing Electronics and Control)

2013

Sentiment Classification Menggunakan Machine Learning: Metode Naive-Bayes dan Support Vector Machines (Studi Kasus: Movie Reviews imdb.com)
Seminar Teknologi Informasi dan Sistem Informasi (SETISI)

2008

Aplikasi Information Retrieval (IR) CATA dengan Metode Generalized Vector Space Model
Maranatha Informatics Journal

2005

Information Retrieval System dengan Metode Latent Semantic Indexing
Master Thesis at Bandung Institute of Technology
MOOC that Hendra took

September 2019

Probabilistic Graphical Models 1: Representation
Provided by Stanford Online

May 2019

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Provided by Deeplearning.ai

January 2019

Coursera Mentor Community and Training Course
Provided by Coursera

November 2018

Machine Learning
Provided by Stanford Online

July 2018

Natural Language Processing
Provided by Higher School of Economics, National Research University

April 2018

Deep Learning Nanodegree
Provided by Udacity

Contact

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