Mobile · AI/ML
TenunSantara
Android app for Indonesian woven-textile recognition
Mobile app that recognizes Indonesian woven-cloth motifs from camera or gallery images and presents textile details.

Overview
TenunSantara is an Android application for exploring Indonesian woven textiles. A user scans a motif with the camera or picks an image, the app classifies it with a trained model, and the result links to information about the textile.
Problem & solution
The problem
Indonesian woven textiles are difficult to identify without specialist knowledge, which limits both appreciation and educational use.
What was built
A camera-first Android app backed by an image-classification model, with a browseable catalog for people who want to explore motifs without a photo.
Key features
- Motif scanning directly from the camera
- Machine-learning classification of woven-cloth motifs
- Exploration of textile categories and motif details
- Mobile reference interface for searching and browsing textiles
My contribution
- Android application development, model integration, and interface implementation, as documented in the portfolio PDF.
Visual showcase


Related projects
View all
Mobile · AI/ML
HerbCam
Telkom University — Bangkit Academy
Android application that classifies 30 herbal plant classes in real time or from gallery photos using a YOLOv5 model.

Computer Vision · AI/ML
Smart Camera Lobster
Aruna Indonesia — R&D contract
Computer-vision system that enhances underwater footage, detects and counts lobsters, and tracks them across frames for remote monitoring.

Full Stack · Enterprise
Job Talentio
PT EGI Resources — IT project
Multilingual hiring platform connecting candidates, recruiters, and moderators — with CV import, weighted matching, and a recruiter pipeline.