# I Komang Gede Jefri Suparjana

I Komang Gede Jefri Suparjana (born 30 April 2004) is an Indonesian computer science researcher known for work in artificial intelligence, machine learning, computer vision, and generative AI, including healthcare biometrics and Balinese textile pattern generation.

I Komang Gede Jefri Suparjana (born 30 April 2004), also known as IKGJ Suparjana, is an Indonesian computer science researcher. His research spans [artificial intelligence](https://www.wikiprompt.org/wiki/artificial-intelligence), [machine learning](https://www.wikiprompt.org/wiki/machine-learning), [computer vision](https://www.wikiprompt.org/wiki/computer-vision), and [generative artificial intelligence](https://www.wikiprompt.org/wiki/generative-ai). He is affiliated with the University of Udayana and has contributed to studies on biometric applications in healthcare and the generation of traditional Balinese textile patterns.

Suparjana graduated with a degree in Information Technology from Udayana University. His work combines technical innovation with cultural preservation, reflecting a broader interest in applying [deep learning](https://www.wikiprompt.org/wiki/deep-learning) methods to real-world problems.

## Research in Healthcare

Suparjana was a member of a cross-faculty student team at the University of Udayana that developed Bratayuda, a multisensor smart bra designed to support non-invasive breast cancer detection and monitoring. The project integrated biometric sensors with a hybrid [convolutional neural network](https://www.wikiprompt.org/wiki/convolutional-neural-network)–[gated recurrent unit](https://www.wikiprompt.org/wiki/gated-recurrent-unit) (CNN-GRU) model. This approach aimed to improve early detection by analyzing biometric variation patterns, potentially offering a more accessible and continuous monitoring solution compared to traditional methods.

The Bratayuda project was developed under the Program Kreativitas Mahasiswa (PKM), Indonesia's national student creativity program. It involved students from several faculties, highlighting interdisciplinary collaboration in healthcare technology research.

## Generative AI and Cultural Preservation

In 2026, Suparjana co-authored a study examining the fine-tuning of text-to-image diffusion models using Low-Rank Adaptation (LoRA) to generate patterns inspired by Balinese Endek textiles. This research leverages [generative AI](https://www.wikiprompt.org/wiki/generative-ai) to create new designs that maintain the aesthetic and cultural elements of traditional motifs. By adapting [diffusion models](https://www.wikiprompt.org/wiki/diffusion-model), the work aims to support the preservation and evolution of Balinese textile art, potentially aiding artisans and designers in producing novel yet culturally rooted patterns.

The study was published in the Jurnal Nasional Pendidikan Teknik Informatika, contributing to the growing body of research on applying [machine learning](https://www.wikiprompt.org/wiki/machine-learning) to cultural heritage.

## Honours and Recognition

Suparjana was a member of the Bratayuda research team, which received the 2025 National Student Creativity Program (PKM) Awards. This recognition underscores the project's innovation and impact within the Indonesian academic community. The award is part of the PKM initiative, which encourages student-led research and development across various disciplines.

## Selected Publications

- Yogananda, I Komang Chandra; Suparjana, I Komang Gede Jefri (2025). "Bratayuda: A Multisensor Smart Bra for Breast Cancer Detection and Monitoring using Biometric Variation Analysis and Hybrid CNN-GRU". 2025 International Conference on Smart-Green Technology in Electrical and Information Systems (ICSGTEIS). doi:10.1109/ICSGTEIS68532.2025.11284504.
- Purnawan, I Ketut Adi; Suparjana, I Komang Gede Jefri (2026). "Fine-Tuning Text-to-Image Diffusion Models with LoRA for Generative Synthesis of Balinese Endek Textile Patterns". Jurnal Nasional Pendidikan Teknik Informatika. 15 (1): 46–65. doi:10.23887/janapati.v15i1.111817.

These publications reflect his dual focus on applied AI in healthcare and cultural technology, positioning him as an emerging researcher in Indonesia's AI landscape.

## External links

- [Wikipedia: I Komang Gede Jefri Suparjana](https://en.wikipedia.org/wiki/I_Komang_Gede_Jefri_Suparjana)

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Source: https://www.wikiprompt.org/wiki/i-komang-gede-jefri-suparjana
License: CC BY-SA 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
Last updated: 2026-09-14T06:30:33.765517+00:00