Background Information

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

He is very passionate about teaching. Mainly, he teaches mathematics and programming.

His research interests are techniques on how to apply machine learning algorithms.



Komparasi Algoritma Klasifikasi untuk Prediksi Leads yang akan Menjadi Customer
Bina Insani ICT Journal


Analisis Model-Model Machine Learning Interpretable Pada Emotional Tweets Berbahasa Indonesia
Bina Insani ICT Journal


Model Meta Ensemble dan Deep Learning untuk Prediksi Emiten LQ45
Jurnal Edukasi dan Penelitian Informatika (JEPIN)


Masking Preprocessing in Transfer Learning for Damage Building Detection
IAES International Journal of Artificial Intelligence (IJ-AI)


Breast Cancer Histopathological Image Classification using Progressive Resizing Approach
Proceedings of the 1st International Conference on Emerging Issues in Technology, Engineering and Science - ICE-TES


Utilizing Indonesian Universal Language Model Fine-tuning for Text Classification
Journal of Information Technology and Computer Science (JITeCS)


Classical and Deep Learning Time Series Prediction Techniques in the Case of Indonesian Economic Growth
The 5th International Conference on Information Technology and Digital Applications (ICITDA)


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


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


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


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


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


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


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


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


Information Retrieval System dengan Metode Latent Semantic Indexing
Master Thesis at Bandung Institute of Technology

20 Juli 2022

IN035 Matematika Diskrit
Semester Antara 2021/2022

Kelas Matematika Diskrit yang diadakan pada Semester Antara 2021/2022.

(Youtube playlist)

8 September 2021

IN035 Matematika Diskrit
Semester Antara 2020/2021

Kelas Matematika Diskrit yang diadakan pada Semester Antara 2020/2021. Playlist ini terdiri dari 13 video. Sebagian besar materi diambil dari buku Susanna S. Epp (Discrete Mathematics with Applications 5th Edition) dan Kenneth Rosen (Discrete Mathematics and Its Applications 8th Edition)

(Youtube playlist)

12 April 2021

Interpretable Machine Learning: The Basics
My Talk at NUNI IT Online Seminar Phase #2

The session introduces supervised learning which emphasizes the four components of machine learning (dataset, model/hypothesis, cost function, and optimization algorithm). Furthermore, the session shows machine learning interpretability with a linear regression as a running example.

(slides & codes) (video)

17 November 2020

Interpretable Machine Learning
My Talk at Binus University for Global Learning System

I follow closely to what is presented by the online bookInterpretable Machine Learning” by Christoph Molnar. “Interpretable Machine Learning” is quite a good book. Thank you for writing this book Mr. Molnar!


July 2020

IN046 Statistika
Semester Antara 2019/2020

The course follows closely to “Elementary Statistics” book by Ron Larson and Elizabeth Farber. Thank you so much Mr. Larson dan Ms. Farber for writing such a wonderful book!

(Youtube playlist)

List of MOOCs & Certificates

22 March 2024

Best Lecturer in Teaching (Semester Ganjil 2023/2024)
Provided by Faculty of Information Technology

17 October 2022 - 16 October 2025

Competency in the area of Book Editor with Qualification : Copy Editing
Provided by Indonesian Professional Certification Authority (BNSP)

Dec 2022

Data or Specimens Only Research
Provided by CITI Program

June 2022

VBM535 Management System Auditing
Provided by SAI Global Ltd

August 2022

Introduction to Blockchain Technologies
Provided by Coursera

June 2022

Huawei Certified Academy Instructor (HCAI)
Provided by Huawei Talent

May 2022

Machine Learning in Python with scikit-learn
Provided by INRIA Learning Lab

March 2021

AI for Everyone
Provided by Coursera

November 2020

Specialized Data Processing in R: Strings and Dates Course
Provided by

23 October 2020 - 22 October 2023

Competency in the area of Software Development with Qualification : Programmer
Provided by Indonesian Professional Certification Authority (BNSP)

November 2020

Control Flow, Iteration, and Functions in R
Provided by

November 2020

Data Structures in R
Provided by

November 2020

Introduction to Data Analysis in R
Provided by

14 September 2020 - 15 September 2023

HCIA - Artificial Intelligence
Provided by Huawei

August 2020

Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization
Provided by

January 2020

Neural Networks and Deep Learning
Provided by

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

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


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