Data Science Research Group Undiksha

06/11/2025

Subject: Invitation to the Data Science Research Group Webinar Series #17 and #18
Dear Esteemed Colleagues and Partners,

The Data Science Research Group is pleased to announce its upcoming academic webinars:

Webinar Series #17 — Revolutionizing AI: The Power of Large Language Models, delivered by Dr. Abdul Karim (Hallym University, South Korea); and

Webinar Series #18 — Inspired by Nature’s Strategies to Solve Problems Through Intelligent Computing, presented by Ida Bagus Nyoman Pascima, S.Pd., M.Cs. (Universitas Pendidikan Ganesha, Bali, Indonesia).

🗓 Date: Saturday, November 15ᵗʰ, 2025
🕘 Time: 09:00 AM WITA – until completion
💻 Online Platform: https://go.undiksha.ac.id/DSRG-Webinar-17-18

Participants will receive an e-certificate and gain valuable insights into Large Language Models as well as Artificial Intelligence theories and applications.

Through this webinar series, we aim to foster interdisciplinary collaboration and promote the advancement of AI-driven data analysis and intelligent systems.
We warmly invite you to join and take part in this inspiring academic event.

We apologize if this announcement does not fully align with this group’s communication policy.
Thank you for your kind attention and continued support.

Warm regards,
Greetings of Harmony,
Data Science Research Group (DSRG)
Universitas Pendidikan Ganesha

Website: https://sites.google.com/view/devata-rg/agenda
Fans Page: https://www.facebook.com/DSRGUndiksha
YouTube Channel: https://www.youtube.com/

🙏

13/09/2025

Pada 1–5 September 2025, salah satu peneliti dari Kelompok Riset (KR) Sains Data Undiksha berkesempatan melakukan kunjungan ke KGEO, KMUTT, Thailand.
Kegiatan ini merupakan bagian dari keberlanjutan kerja sama riset yang telah terjalin selama beberapa tahun terakhir.

Selain itu, kunjungan juga dilakukan ke Program Studi Food Engineering, RMUTT, Thailand sebagai langkah memperluas jejaring dan peluang kolaborasi internasional.
Sebelumnya, tim KR Sains Data Undiksha telah bekerja sama dengan peneliti RMUTT di program Mechatronics dan Robotics.

02/09/2025

River segmentation is important in delivering essential information for environmental analytics such as water management, flood/disaster management, observations of climate change, or human activities. Advances in remote-sensing technology have provided more complex features that limit the traditional approaches’ effectiveness. This work uses deep-learning-based models to enhance river extractions from satellite imagery. With Resnet-50 as the backbone network, CNN U-Net and DeepLabv3+ were utilized to perform the river segmentation of the Sentinel-1 C-Band synthetic aperture radar (SAR) imagery. The SAR data was selected due to its capability to capture surface details regardless of weather conditions, with VV+VH band polarizations being employed to improve water surface reflectivity. A total of 1080 images were utilized to train and test the models. The models’ performance was measured using the Dice coefficient. The CNN U-Net architecture achieved an accuracy of 0.94, while DeepLabv3+ attained an accuracy of 0.92. Although DeepLabv3+ showed more stability during the training and performed better on wider rivers, CNN U-Net excelled at identifying narrow rivers. In conclusion, a river-segmentation model was conducted using Sentinel-1 C-Band SAR data, with CNN U-Net outperforming DeepLabv3+; this enabled detailed river mapping for irrigationand flood-monitoring applications – particularly in cloud-prone tropical regions.

River segmentation is important in delivering essential information for environmental analytics such as water management, flood/disaster management, observations of climate change, or human activities. Advances in remote-sensing technology have provided more complex features that limit the tradition...

25/08/2025

Webinar series #16 yang bertajuk Deteksi Kekerasan Multimodal Berbasis Deep Learning untuk Game Online Ber-Rating Ramah Anak dengan pembicara Dr. Jasson Prestiliano, S.T., M.Cs. (Dosen Universitas Kristen Satya Wacana). Universitas Pendidikan Ganesha

Undiksha Data Science Research Group Talk Webinar Series #16 - Proudly Present:Deep Learning-Based Multimodal Violence Detection for Child-Friendly Online Ga...

25/08/2025

Webinar series #15 yang bertajuk Implementation of Hybrid Bidirectional LSTM-GRU Method for Web-Based Cryptocurrency Price Prediction dengan pembicara Putu Gio Satria Adinata, S.Kom. (Alumni Sistem Informasi, FTK, Undiksha), Universitas Pendidikan Ganesha

Undiksha Data Science Research Group Talk Webinar Series #13 - Proudly Present:Implementation of Hybrid Bidirectional LSTM-GRU Method for Web-Based Cryptocur...

25/08/2025

Webinar series #13 yang bertajuk The Art of Decison Making and Decision Support System dengan pembicara Ir. Gede Surya Mahendra, S.Pd.,M.Kom (Dosen Sistem Informasi, FTK, Undiksha) Universitas Pendidikan Ganesha

Undiksha Data Science Research Group Talk Webinar Series #13 - Proudly Present:The Art of Decision Support SystemSpeaker : Ir. Gede Surya Mahendra, S.Pd.,M.K...

25/08/2025

Webinar series #14 yang bertajuk Pengembangan Sistem Pendukung Keputusan Berbasis Website untuk Pemilihan Prioritas Penerima Bantuan Benih Tanaman Pangan dengan Kombinasi Metode ROC dan WPM dengan pembicara Komang Mahendra (Mahasiswa S1 Sistem Informasi, FTK, Undiksha). Universitas Pendidikan Ganesha

Undiksha Data Science Research Group Talk Webinar Series #14 - Proudly Present:Development of a Website-Based Decision Support System for Selecting Priority ...

25/08/2025

Webinar Series #12, entitled “Optimalisasi Artefak Removal Untuk Deteksi Stres Berbasis Electroencephalogram Menggunakan Metode Independent Component Analysis Dan Relative Difference”,
Presented by I Made Wahyu Guna Negara, S.Kom (student in Master of Computer Science, Undiksha). Universitas Pendidikan Ganesha

Undiksha Data Science Research Group Talk Webinar Series #12 - Proudly Present:Optimization of Artifact Removal for Electroencephalogram-Based Stress Detecti...

25/08/2025

Webinar series #10 yang bertajuk Optimasi Recurrent Neural Network Menggunakan Simulated Annealing untuk Prediksi Stunting (Optimization of Recurrent Neural Networks Using Simulated Annealing for Stunting Prediction) dengan pembicara I Gusti Putu Oka Sugiarta (mhs S1 Matematika undiksha). Universitas Pendidikan Ganesha

Undiksha Data Science Research Group Talk Webinar Series #10 - Proudly Present:Optimization of Recurrent Neural Networks Using Simulated Annealing for Stunti...

25/08/2025

Webinar series #9 yang bertajuk Evaluasi Kualitas Web Site SMKN 1 Denpasar Menggunakan Kombinasi Webqual 4.0, FAHP, dan IPA dengan pembicara Pande Made Mahendri Pramadewi, S.Pd., M.Kom (Alumni S2 Ilkom Undiksha). Universitas Pendidikan Ganesha

Undiksha Data Science Research Group Talk Webinar Series #9 - Proudly Present:Evaluation of Website Quality of SMK Negeri 1 Denpasar Using Combination of Web...

25/08/2025

Webinar series #8 yang bertajuk Evaluasi Pengalaman Pengguna pada Sistem Smartpayment Undiksha menggunakanThink Aloud dan Deteksi Emosi berbasis EEG dengan pembicara Made Agus Panji Sujaya, S.Pd (mhs S2 Ilkom undiksha) Universitas Pendidikan Ganesha

Undiksha Data Science Research Group Talk Webinar Series #8 - Proudly Present:User Experience Evaluation on Undiksha Smartpayment System Using Think Aloud an...

25/08/2025

Webinar Series #11, entitled “Review of Applications in Brain-Computer Interfaces Using the EMOTIV Insight Headset”,
presented by Yamin Thwe (Lecturer in the Computer Science Department, RMUTT, Thailand). Universitas Pendidikan Ganesha

Undiksha Data Science Research Group Talk Webinar Series #11 - Proudly Present:Review of Applications in Brain-Computer Interfaces Using the EMOTIV Insight H...