Dr. Dinar Ajeng Kristiyanti | Data Mining | Best Researcher Award
Dr. Dinar Ajeng Kristiyanti, Universitas Multimedia Nusantara, Indonesia
Dr. Dinar Ajeng Kristiyanti is a passionate Lecturer and Assistant Professor with over a decade of experience in computer science. She holds a Bachelor’s and Master’s in Computer Science from Sekolah Tinggi Manajemen dan Informatika Nusa Mandiri and is pursuing her PhD at Institut Pertanian Bogor š. Her research focuses on Sentiment Analysis, Machine Learning, and Data Mining š». Dr. Kristiyanti has published 20 national and 8 international papers š, earning recognition as a top 10 author in the SINTA Index (2020-2022). She is also a recipient of several awards for her academic excellence š .
Publication profile
Educational Background š
Work Experience š«
Award History and Personal Achievements š
Publication Top Notes
- Comparison of SVM & NaĆÆve Bayes algorithm for sentiment analysis (2018) š ā Cited by 80
- Sentiment analysis of smartphone product reviews using SVM-based PSO (2016) š± ā Cited by 55
- Prediction of Indonesia presidential election results using Twitter sentiment analysis (2019) š®š© ā Cited by 50
- Feature selection for cosmetic product review using GA, PSO, and PCA (2017) š ā Cited by 45
- Comparison of NaĆÆve Bayes and SVM using PSO for e-wallet review (2020) š³ ā Cited by 39
- Sentiment analysis for Halodoc app using NaĆÆve Bayes, SVM, and KNN (2021) š©ŗ ā Cited by 34
- Sentiment analysis of cosmetic reviews using SVM and PSO (2015) š ā Cited by 32
- Machine Learning for Beginners (2022) š ā Cited by 29
- E-wallet sentiment analysis using NaĆÆve Bayes and SVM (2020) š¼ ā Cited by 25
- Sentiment analysis of cosmetic product review using feature selection comparison (2015) š ā Cited by 25
- Decision support system for employee bonus using AHP at Buah Hati Ciputat Hospital (2018) š„ ā Cited by 24
- Decision support system for employee selection with profile matching analysis (2017) š§āš¼ ā Cited by 20
- Web-based thesis monitoring system for Mercu Buana University (2020) š» ā Cited by 16
- Application of seasonal multiplicative decomposition for inventory forecasting at PT. Agrinusa (2020) š¦ ā Cited by 13
- Sentiment analysis of public acceptance of COVID-19 vaccines in Indonesia (2023) š ā Cited by 11
- Feature selection using v-shaped transfer function for salp swarm algorithm in sentiment analysis (2023) š ā Cited by 11
Conclusion ā
Dinar Ajeng Kristiyanti | Data Mining | Best Researcher Award