Location: Bali/Jakarta, Indonesia
Work Experiences
Jul 2024 - Present
Dec 2022 - Jun 2024
PT Grahadi Digital Technology
Certificate Authority Services - Digital Signature, E-Certificate, E-Seal, E-KYC
Front End Developer
Company Site: https://idtrust.id/
Nov 2018 - Nov 2022
PT Solusi Net Internusa
Certificate Authority Services - Digital Signature, E-Certificate, E-Seal, E-KYC
Software Developer
Company Site: https://digisign.id
Nov 2017 - Jan 2018
PT. Pulau Pulau Media (MacroAd)
Digital Advertising
Back End Developer
Project Exploration
Final Project of Software Project - 2017
TIPMAN - Titip Anak Aman (TIPMAN - Safe & Trusted Childcare)
Marketplace for Daycare, provide information and book an available daycare. Work in a team, as a programmer.
PHP CI – MySQL – Web Application.
Final Project Python - 2017
Django, MySQL, CNN
The objectives of this project are:
- To develop a web-based application capable of classifying Pokémon images into three types: Grass, Fire, and Water using Django.
- To implement and apply Convolutional Neural Networks (CNN) and K-Nearest Neighbor (KNN) as image classification models.
- To compare the performance of CNN and KNN based on classification accuracy.
- To determine the most effective model for predicting Pokémon image classes.
- To provide users with clear prediction results and relevant information about the identified Pokémon type through an easy-to-use interface.
Jupyter Notebook Link:
Research and Exploration
2018
Predicting Product Image Quality in E-Commerce Using Deep Learning
This study applies Convolutional Neural Networks (CNNs) alongside baseline machine learning algorithms such as Support Vector Machines (SVM), XGBoost, and K-Nearest Neighbors (KNN) to predict the quality of product images in an e-commerce environment. In addition to accuracy, the study emphasizes computational efficiency, addressing the need to rapidly assess large volumes of images, as e-commerce platforms typically handle massive and continuously growing image datasets.
The research highlights the importance of providing practical image quality guidelines for C2C platforms, where image uploads are taken directly by users. The proposed approach aims to gives clear guidance for users that should impact to improve overall visual consistency, user trust, and purchasing decisions in online marketplaces.
The study was proposed for a Bachelor’s Degree at Al Azhar University of Indonesia in 2018.
Published in: 2025 12th International Conference on Advanced Informatics: Concept, Theory and Application (ICAICTA)
Interested in collaboration for future work or the full document? Feel free to reach out via email.