DATA SCIENCE RESEARCH GROUP
Kelompok Riset Data Sains Undiksha
Undiksha Data Science - RG
The Undiksha Data Science Research Group that focuses on core data science research, as well as on applications where data science can provide insights for decision making. We conduct research on the application and development of Data Mining, Machine Learning and Artificial Intelligence.
Established : January, 2020
Location : DataScience-RG Laboratory
Faculty of Engineering and Vocational,
Universitas Pendidikan Ganesha, Indonesia
Head of RG : Dr. I Made Agus Wirawan, S.Kom., M.Cs.
Email : imade.aguswirawan@undiksha.ac.id
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.
Kadek Yota Ernanda Aryanto, S.Kom., M.T., P.hD
Lecturer | Researcher
Google Scholar | Scopus | Orcid | Sinta
I G. Mahendra Darmawiguna, S.Kom., M.Sc.
Lecturer | Researcher
Google Scholar | Scopus | Orcid | Sinta
Gede Aditra Pradnyana, S.Kom., M.Kom.
Ph.D Candidate | Researcher
Google Scholar | Scopus | Orcid | Sinta
Ni Putu Novita Puspa Dewi, S.Kom., M.Cs.
Lecturer | Researcher
Google Scholar | Scopus | Orcid | Sinta
Ni Luh Dewi Sintiari, S.Pd., M.Sc., Ph.D.
Lecturer | Researcher
Google Scholar | Scopus | Orcid | Sinta
RESEARCH AREAS AND ROADMAP
We strive to unite existing data science research initiatives and create interdisciplinary collaborations, connecting the data science and related methodologists with disciplines that are being transformed by data science and computation. The research areas are:
Data science for Education
NLP and Text mining
Data Visualization
Machine Learning
Deep Learning
Big Data
LIST OF PROJECTS AND RESEARCHES
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)
LIST OF PUBLICATIONS
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.
Final Project / Bachelor Thesis / Master Thesis Supervisions
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)