Our research group welcome all researchers to collaborate in research projects, student's projects, dataset sharing, joint publication, visiting students and researchers. Please do not hesitate to contact us for any possible collaboration. 

We are dedicated to advancing data science by fostering collaborations across diverse disciplines. Our mission is to connect data science research with transformative areas like education, economics, human behavior, and public health. By bridging the gap between computational methods and real-world applications, we aim to drive impactful discoveries and innovations. The research areas include:

1. Collecting Data

2. Exploratory Data Analysis

3. Feature Engineering

4. Predict & Forecast

5. Evaluation Model

6. Knowledge Visualization & Representation

Subfields of our research focus:

1. Data Science for Economics

2. Data Science for Education

3. Data Science for Human Behavior

4. Data Science for Math Theory

5. Data Science for Public Health

6. Data Science for Social Environment

• 2023 -  Analisis Sentimen Kesiapan Implementasi Metaverse dalam Pendidikan dari Data Twitter dengan Inset Lexicon dan Levenshtein Distance (Funded by DIPA 2023)

• 2023 - Optimasi Pendekatan Baseline Reduction untuk Meningkatkan Akurasi Pengenalan Emosi Berdasar Sinyal Electroecephalogram (Funded by DIPA 2023)

• 2023 - EEG-Based Control for Imagery Motor Signals of Exoskeleton (Funded by DIPA 2023 International Collaborative Research with Rajamanggala Univeristy of Technology Thanyaburi, Thailand)

• 2023 - Analisis Nilai Kehijauan Tanaman Padi Dalam Citra Satelit (Funded by DIPA 2023)

• 2023 - Auto-Mapping and Predicting Crop Production (Funded by DIPA 2023 International Collaborative Research)

• 2022 – Corpus Generation Bahasa Bali untuk Natural Language Processing dengan Metode Web-Crawled Corpora (Funded by DIPA Undiksha)

• 2022 – Deteksi Kepribadian Model Big Five Berbasis Data Media Sosial Menggunakan Metode Long Short-Term Memory dan Query Expansion Ranking  (Funded by DIPA Undiksha)

• 2021 – SAPA Bali: Sistem Identifikasi Sentimen Pariwisata Bali Berbasis Deep Learning (Funded by Kemenristek/Brin – Ideathon)

• 2021 – Pengembangan Task-Oriented Chatbot Berbasis Open Source Framework Studi Kasus Pada Layanan UPT TIK Undiksha (Funded by DIPA Undiksha)

• 2021 - Pengembangan Kamus Trilingual Bahasa Isyarat Indonesia, Bali, dan Inggris Berbasis Multimedia bagi Siswa Tuna Rungu dan Tuna Wicara di Bali (Funded by Kemenristek/Brin)

• 2020 - Big Data Analytics Framework untuk Data-Driven University dalam Mendukung Kampus Merdeka di Indonesia (Funded by DIPA Undiksha)

• 2020 - Sistem Identifikasi Sentiment Polarity pada Angket Evaluasi Kinerja Dosen Menggunakan Metode Support Vector Machine dan Levenshtein Distance (Funded by DIPA Undiksha)

• 2020 - Pengembangan Opinion Summarization untuk Evaluasi Pembelajaran Dosen dengan Algoritma Text Rank (Funded by DIPA Undiksha)

• 2019 - Implementasi Sistem Informasi Kesehatan Terintegrasi Dalam Mewujudkan Manajemen Layanan Kesehatan yang Berkualitas (Funded by DRPM Ristekdikti)

• 2018 - Sistem Rekomendasi Lokasi Magang Berdasarkan Kompetensi Berbasis Artificial Intelligence Untuk Lulusan Demand Driven (Studi Kasus : Jurusan Manajemen Informatika, Undiksha) (Funded by DRPM Ristekdikti)

• 2018 - Pengembangan Portal Informasi Terintegrasi Pariwisata di Bali Menggunakan Metode Web Scrapping dan Clustering (Funded by DIPA Undiksha)

• 2017 - Pengembangan Sistem Pembagian Kelas Kuliah Mahasiswa dengan Metode K-Means dan K-Nearest Neighbors untuk Meningkatkan Kualitas Pembelajaran (Funded by DRPM Ristekfikti)

• Policy Brief – 2021: Pemanfaatan Analisis Sentimen Opini Masyarakat Berbasis Teknologi Sebagai Penunjang Kebijakan Pemulihan Pariwisata Bali (Utilization of Technology-Based Public Opinion Sentiment Analysis to Support Bali Tourism Recovery Policy)

• Proceeding – 2021: Performance analysis of support vector machines with polynomial kernel for sentiment polarity identification: A case study in lecturer's performance questionnaire. Proceeding of The 3rd International Conference on Vocational Education and Technology (IConVET), Published by IOP Science, Indexed by Scopus (DOI: https://doi.org/10.1088/1742-6596/1810/1/012033 )

• Proceeding – 2021: Indonesian sentiment summarization for lecturer learning evaluation by using textrank algorithm. Proceeding of The 3rd International Conference on Vocational Education and Technology (IConVET), Published by IOP Science, Indexed by Scopus (DOI: https://doi.org/10.1088/1742-6596/1810/1/012024 )

• Proceeding – 2021: Towards Healthcare Data Sharing: An e-Health Integration Effort in Indonesian District. Proceeding of International Seminar on Application for Technology of Information and Communication (iSemantic) 2021, Published by IEEE, Indexed by Scopus (DOI: https://doi.org/10.1109/iSemantic52711.2021.9573250 )

• Proceeding – 2021: Web-Based System for Bali Tourism Sentiment Analysis during The Covid-19 Pandemic using Django Web Framework and Naive Bayes Method. Proceeding of 4th International Conference on Innovative Research Across Disciplines (ICIRAD 2021), Published by Atlantis Press (DOI: https://dx.doi.org/10.2991/assehr.k.211222.050 )

• Proceeding – 2021: Educational big data infrastructure: opportunities, design and challenges. Proceeding of The 3rd International Conference on Vocational Education and Technology (IConVET) 2020, Published by IOP Science, Indexed by Scopus (DOI: https://doi.org/10.1088/1742-6596/1810/1/012023 )

• Journal – 2020: Management of integrated system prototype by applying principle of SCRUM. International Journal of Innovation and Learning 28 (3), 356-367. 

• 2023 - Komang Hokky Aryasta (IS Student 2020) - Bachelor Thesis - KOMPARASI ALGORITMA KLASIFIKASI FINE-TUNING INDOBERT DAN MULTINOMIAL NAÏVE BAYES UNTUK ANALISIS SENTIMEN ULASAN APLIKASI THREADS PADA GOOGLE PLAY STORE (on going)

• 2023 - (Computer Science Master Student 2019) - Master Thesis - Penerapan Algoritma Learning Vector Quantization Untuk Klasifikasi Mahasiswa Berpotensi Drop Out (on going)

• 2023 - I Gusti Ngurah Agung Pernata (IS Student 2020) - Bachelor Thesis - Perbandingan Ektraksi Fitur TF-IDF dan Word2Vec Pada Analisis Sentimen Menggunakan Model Fine-Tuning IndoBert untuk Ulasan Game Lokal di Steam (on going)

• 2023 - Ida Bagus Ketut Sandhisutra (IS Student 2020) - Bachelor Thesis - Perbandingan Metode Smoothing untuk Mereduksi Artefak dalam Pengenalan Motor Imagery berdasarkan Sinyal Electroencephalogram (on going)

• 2023 - Desak Putu Eka Komala Dewi (IS Student 2020) - Bachelor Thesis - Analisis Komparasi Metode Baseline Reduction pada Motor imagery Berbasis Sinyal Electroencephalogram (on going)

• 2023 - Kartika Nikova (IS Student 2020) - Bachelor Thesis - Komparasi Metode Decision Tree, CNN, dan SVM pada Prediksi Motor Imagery Berbasis Sinyal EEG  (on going)

• 2023 - Daniel Sihite (IS Student 2020) - Bachelor Thesis - IMPLEMENTASI METODE NAÏVE BAYES CLASSIFIER DAN TF-IDF DALAM ANALISIS SENTIMEN PEMILIHAN PRESIDEN TAHUN 2024 (on going)

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