Three words for Fendy: Humble, Creative, Inspiring to Others.
Fendy Hendriyanto is a passionate and highly motivated individual from Bandar Lampung, Indonesia, with over 3 years of experience in technology, focusing on artificial intelligence and software engineering. He has experience in providing training, mentoring students, developing AI projects, and creating websites. Fendy holds a Bachelor's degree in Informatics Engineering at Tanri Abeng University, and has published research papers and projects related to AI computer vision focusing image classification. He has also received honors and awards for his contributions in the field of artificial intelligence for humaniora focusing cultural heritage and performing arts.
Handle 20-40 students in class session for Kampus Merdeka program
Mentoring Artificial Intelligence (AI) application for student final projects
Teaching classes, sets, groups, or individual students, and setting tasks to be undertaken both inside and outside the classroom
Planning and preparing courses, schemes of work, and individual lessons based on the content and curriculum set by the content & curriculum team
Marking and assessing students' work and recording their development and progress
Evaluating and reviewing one's own teaching methods, materials, and schemes of work, and making changes as appropriate
Maintaining an attractive, engaging, fun, and stimulating classroom environment
Staying up to date with current educational thinking and practices, improving pedagogy and understanding of students' behavior and development through study, attendance at courses, workshops, and meetings, and participating in appraisals and reviews of one's work arranged by the Academic Coordinator
Learning how to use Restful API, CodeIgniter framework, AJAX, jQuery, and Node.Js framework for build a website
Teamwork with 1 Backend Developer
Create a sales dummy dashboard for first projects
Reporting progress to Senior Web Developer and CEO
Publications
F. Hendriyanto and F. I. Kurniadi, Cirebon Mask Classification using Robust K-Nearest Neighbour, 2019, International Conference on Information and Communications Technology (ICOIACT).
[Paper ]
Bachelor degree of Informatics Engineering | GPA: 3.36/4.00
Honours and Awards
Scope
Description
National
Speakers in Python Conference Indonesia (PyCon ID) at BINUS Bandung, West Java, 18-19 November 2023
Local
Speaker at the PKKMB SIGNAL 1.0 event at the Information Science Study Program at Universitas Pembangunan Nasional Veteran Jakarta, 30 October 2023
Local
Speaker at the community service activity and Informatics Engineering study program with the theme "Artificial Intelligence Ethics in the World of Education" at Tanri Abeng University, 21 October 2023
Local
Mentor Artificial Intelligence Specialist for Lecturer at Universitas Pamulang X MyEduSolve, 16-17 October 2023
Local
Speakers in webinar NarSis (Narasumber Sains Informasi) Part #1 2023 from HIMASIFO UPN Veteran Jakarta about Digitalization for Culture Development with Artificial Intelligence, 20 May 2023
Local
Best Mentor and Instructor for AI 4 Start-ups program in Power Academy collaboration with Orbit Future Academy, 2022
Local
Speaker in the InformationALL 2022 webinar activity organized by the Student Executive Board of the Faculty of Informatics Engineering, Universitas Muhammadiyah Jakarta, 30 November 2022
Bringing material related to Artificial Intelligence in Everyday Life for the Samsung Innovation Campus X Skilvul Academy program related to the field of Artificial Intelligence for high school students
Contribute to a series of TAU Mengajar activities for education for middle and lower class children from Student Executive Board (BEM) Tanri Abeng University program
Dashboard Analysis and performing predictive analysis for customer retail in Turkey country with Ensemble Technique based
Demo AppsRepository
Padiku (Dashboard & Rice Prediction)
Creating a dashboard and performing predictive analysis for rice production on Sumatra Island using a regression-based algorithm.
Demo AppsRepository
Cirebon Mask Identification Using Combined Feature Texture and CNN Algorithm
A project with development and improvement from previous method with deep learning based for improve accuracy and predicting model with new data.
Repository
Dashboard Netflix Analysis
A dashboard with case Netfix data users and movies analysis using Tableau Public
Dashboard Viz
Loan Approval Prediction Using Random Forest
This project is about deploying a machine learning model for Loan Approval Prediction using Streamlit framework in Python.
RepositoryDemo Apps
AI Chatbot Kampus Merdeka using LSTM
This project about AI Chatbot Kampus Merdeka to help students or Indonesian people know about the Kampus Merdeka program from KEMENDIKBUDRISTEK (Kementerian Pendidikan, Kebudayaan, Riset Dan Teknologi) or Ministry of Education, Culture, Research and Technology of the Republic of Indonesia.
RepositoryDemo Apps
Scale Invariant Feature Transform for Cirebon Mask Classification
The vast diversity of art in Indonesia generates many interests both domestically and internationally. One of the prominent cultures is Cirebon Mask. There are five types of Cirebon masks: Panji, Samba, Rumyang, Tumenggung, and Klana. In this research project, Cirebon masks are classified using digital images processing techniques using Scale-Invariant Feature Transform, while K-Nearest Neighbour, Support Vector Machines, and Random Forest as the classifier with MATLAB programming language.
ArticleRepository
Spam Text Classification Using Recurrent Neural Network (RNN)
This project is about Artificial Intelligence Domain Natural Language Processing with the title Spam Text Classification Using Recurrent Neural Network. Text Classification is a part of NLP for the identification of text or document. Spam text classification is useful for seeing which messages contain spam or not in email messages. Hopefully, this project repository can help to be used as reference material.
Rock, Paper, and Scissors Classification Using CNN and RNN-LSTM Algorithm
This project is part of the final Dicoding Indonesia submission. This project too, uses a deep learning algorithm, namely Convolution Neural Network (CNN) and Recurent Neural Network (RNN) for image classification with rock, paper, and scissors hand datasets.
Cirebon Mask Classification using Robust K-Nearest Neighbour
Indonesia culture captivates people both domestically and internationally. One of the prominent cultures is Cirebon Mask. There are five types of Cirebon masks: Panji, Samba, Rumyang, Tumenggung, and Kelana. In this work, we present texture features using the first-order statistical feature with outlier detection using z-score while K-Nearest Neighbour acted as the classifier. From this experiment, our proposed methods increase the accuracy up to 10 % compared to the basic method.
One of the AI for Humanities projects is carried out from various cultural data that does not receive enough attention, such as data on Classical Masks for performing arts, especially Cirebon Masks.
In this article, he share about travel and trip to Kudus City at Central Java (Jawa Tengah) region, Indonesia.
Featured in WordPress
The first article content is about travel and tourism
Recent Talks
(Jan 12, 2024) Speaker at Samsung Innovation Campus Batch 5 from Samsung Electronics Indonesia X Skillvul Academy: Artificial Intelligence and its Application in Daily Life. [Delivered in Bahasa Indonesia]
(Nov 18-19, 2023) Speaker at Python Conference Indonesia (PyCon ID) 2023: AI for Humaniora, Cirebon Mask Charateristics Using Image Processing Method in Python. [Delivered in Bahasa Indonesia]
(Oct 30, 2023) Speaker at PKKMB SIGNAL 1.0 event from HIMASIFO and Information Science Program Study, Universitas Pembangunan Nasional Veteran Jakarta: Digitalization Efforts to Preserve National Culture. [Delivered in Bahasa Indonesia]
(May 20, 2023) Speaker at NarSis (Narasumber Sains Informasi) Part #1 from HIMASIFO (Himpunan Mahasiswa Sains Informasi) Universitas Pembangunan Nasional Veteran Jakarta: Digitalization for Culture Development with Artificial Intelligence. [Delivered in Bahasa Indonesia]
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i = 0;
while (!deck.isInOrder()) {
print 'Iteration ' + i;
deck.shuffle();
i++;
}
print 'It took ' + i + ' iterations to sort the deck.';
