Ngurah Agus Sanjaya ER
  • agus_sanjaya@unud.ac.id
  • Fakultas Matematika dan Ilmu Pengetahuan Alam

Biografi

Name:Ngurah Agus Sanjaya ER
Place/Date of Birth:Denpasar, March 21st 1978
Affiliation:Informatics Department, Faculty of Math and Natural Sciences, Udayana University

Education

2018: Doctorate, Telecom Paristech, France
2008: Master, Informatics Department, Sepuluh Nopember Institute of Technology
2002: Bachelor, Informatics Department, Sepuluh Nopember Institute of Technology

Award

YearAward
20222nd Place Award for Lecturer with Most Intellectual Property Rights
2016Best Student Paper Award at The 18th International Conference on Information Integration and Web-based Application & Services (iiWAS)

Research Grant (last 5 years)

YearDescriptionFunded by
2023 Collaborative Data Analytics For Analyzing The Impacts Of Climate Change On Agricultural Productivity And Food Security In Indonesia Udayana University
Mobile Application for Balinese Folklore Digital Portal with Deep Learning-Based Translator
Development of an Automatic Summarization Application for Indonesian Journal Based on Deep Learning
2022A Natural Language Processing Framework for a Balinese Story Digital PortalUdayana University
Integrated Digital-Base Antimicrobial Surveillance System (IDASS) Mobile Application in Healthcare Facilities in Rationalizing Antibiotic Usage
Development and Application of an Integrated Travel Health Surveillance and Information System at Destinations (TravHeSID) - 3rd Year
2021Development and Application of an Integrated Travel Health Surveillance and Information System at Destinations (TravheSID) - 2nd YearUdayana University
2020Development of Natural Language Processing Tools in Python for Balinese DocumentsUdayana University
2019An Integrated Performing Arts Management Information System Based on Crowd SourcingUdayana University
Development of Integrated Tourism Health Surveillance in Travel Destinations
Application of Latent Dirichlet Allocation (LDA) in the Clusterization of Balinese Stories for the Development of Bali Cultural Tourism

Community Service (last 5 years)

YearDescriptionFunded by
2021Increasing Information Technology-Based Product Marketing in Silver and Natural Stone Craft SMEs in BaliUdayana University
2015Science and Technology for the Community: Elementary Teacher Group Developers of Mathematics Learning Based on Exploration and DIKTI Problem SolvingDIKTI

Selected Publications (Peer Reviewed)

YearTitleJournal/ConferenceVolume/Number
2023Character Entity Recognition Using Hybrid Binary-Particle Swarm Optimization and Conditional Random Field on Balinese Folklore Text International Conference on Information Integration and Web Intelligence (iiWAS 2023), Lecture Notes in Computer Science book series (LNCS)LNCS 1446

A Hybrid Method of Backpropagation and Particle Swarm Optimization for Enhancing Accuracy PerformanceCurrent Journal of Applied Science and Technology42/6
2022User Loyalty Prediction Using Naïve Bayes Method in "Udatari" an art Performance MarketplaceJurnal Ilmu Komputer Udayana - Accredited SINTA 414/2
LSTM Implementation on Film Review Sentiment Analysis Using Adam and RMSprop OptimizerJELIKU (Jurnal Elektronik Ilmu Komputer Udayana) - Accredited SINTA 510/4
2021Implementasi Latent Dirichlet Allocation (LDA) untuk Klasterisasi Cerita Berbahasa Bali Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK) - Accredited SINTA 28/1
2020Balinese Automatic Text Summarization using Genetic Algorithm Jurnal Ilmu Pengetahuan dan Teknologi Komputer (JITK) - Accredited SINTA 36/1

Digital Surveillance of Health and Safety Hazards at Tourist Attractions in Bali: First Preliminary Evidence E-Journal of Tourism7/1
2019Microbiological water quality test results extraction from mobile photographs iiWAS2019: Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services-
Rainfall Estimation from Traffic Cameras30th International Conference, DEXA 2019, Linz, Austria, August 26–29, 2019, Proceedings, Part I-
2018Harnessing truth discovery algorithms on the topic labelling problemiiWAS2018: Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services-
Set labelling using multi-label classificationiiWAS2018: Proceedings of the 20th International Conference on Information Integration and Web-based Applications & Services-
2017Tuple reconstructionDASFAA 2018 International Workshops: BDMS, BDQM, GDMA, and SeCoP, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings-
Set of T-uples Expansion by Example with ReliabilityInternational Journal of Web Information System - Q3 Scimago Journal13/4
Truthfulness of candidates in set of t-uples expansion28th International Conference, DEXA 2017, Lyon, France, August 28-31, 2017, Proceedings, Part I-
2016Set of t-uples expansion by example (Received the Best Student Paper Award)iiWAS '16: Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services-

Short Biography

Ngurah Agus Sanjaya ER is an Associate Professor in Informatics Department at Udayana University. His research mainly focuses on automatic extraction of information from semi or unstructured data. He finished his PhD from Télécom Paristech, Paris - France, in which he defended his Doctorate thesis entitled "Advanced Information Extraction by Example" under the supervision of Prof. Talel Abdessalem (Télécom Paristech, France) and Associate Professor Stéphane Bressan (National University of Singapore, Singapore). He addresses in this thesis an alternative method of searching for information, i.e. by giving examples of the information in question. He first tries to improve the accuracy of the search by example systems by expanding the given examples syntactically. Later, he uses truth discovery paradigm to rank the returned query results. Finally, he investigates the possibility of expanding the examples semantically through labelling each group of elements of the examples. He currently continues his work on text mining focusing on preserving Balinese language through machine learning. He has published a few articles on stemming for Balinese language. With his students he is now developing Named-Entity-Recognition (person, location, time marker) as well as Part-of-Speech (POS) tagger for Balinese language. His research interests also include (but not limited to) truth discovery, natural language processing, data mining and big data.