Teknik Informatika (Kampus Kabupaten Banyumas)

UNIVERSITAS TELKOM KAB. BANDUNG - JAWA BARAT, ID CODE PRODI : 55218 CODE PT : 041057
48
Authors
23.724
SINTA Score Overall
12.001
SINTA Score 3Yr
505
SINTA Score Overall Productivity
255
SINTA Score 3Yr Productivity
Latest number of publications
Geographic and Risk Factor Analysis of Non-Communicable Cardiovascular Diseases in Central Java using Machine Learning
no-Q Journal Proceedings of International Conference on Artificial Life and Robotics
Creator : Nurhasanah
2025 0 cited
Exploring Non-Communicable Disease Risk Factors on Cancer Rates in Central Java Using Random Forest and SHAP
no-Q Journal Proceedings of International Conference on Artificial Life and Robotics
Creator : Ramadani N.
2025 0 cited
Spider Web-Inspired Quantum Circuit for Autoencoder
no-Q Journal Proceedings 2025 International Conference on Quantum Communications Networking and Computing Qcnc 20
Creator : Prasetiadi A.
2025 0 cited
Geographic Analysis of Risk Factors for Chronic Respiratory Non-Communicable Diseases using Machine Learning
no-Q Journal Proceedings of International Conference on Artificial Life and Robotics
Creator : Susilowati A.
2025 0 cited
FORECASTING RICE PRICES IN TRADITIONAL MARKETS IN BANYUMAS REGENCY USING FUZZY TIME SERIES CHEN
no-Q Journal Barekeng
Creator : Sari D.K.
2025 0 cited
SIAKIF-BOTS: GEMINI AI FOR ACADEMIC SERVICE CHATBOTS
Q3 Journal Journal of Applied Engineering and Technological Science
Creator : Muna B.L.
2025 0 cited
A NOVEL GLOBAL OPTIMIZATION MODEL FOR n-DIMENSIONAL CENTER-BASED CLUSTERING PROBLEM AND ITS APPLICATION TO EARTHQUAKE INVESTIGATION
Q3 Journal Advanced Mathematical Models and Applications
Creator : Pandiya R.
2025 0 cited
Lower semi-continuous augmented function for global optimization problems
Q1 Journal Optimization
Creator : Pandiya R.
2025 0 cited
Role-Play Prediction using Ontology-Based Graph Convolutional Network Model
no-Q Journal Proceedings of International Conference on Artificial Life and Robotics
Creator : Hauna A.D.A.
2025 0 cited
Kodein-Penetration: Recommendations of Customer Personalization Level in A CRM using Deep Learning
Q2 Journal Journal of Applied Data Sciences
Creator : Sudianto S.
2025 0 cited
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Article Quartile
Research Output
  Scopus GScholar WOS
Article 199 1,637 43
Citation 714 7,985 126
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