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ASWAN SUPRIYADI SUNGE

Universitas Pelita Bangsa S1 - Teknik Informatika SINTA ID : 6026185
758
SINTA Score Overall
385
SINTA Score 3Yr
98
Affil Score
22
Affil Score 3Yr
Latest number of publications
  Scopus Analysis  

The Effect of Feature Selection Based on CatBoost, LIME, SHAP, and Random Forest in Identifying the Risk of Violence Against Women
Q3 as Book Series Studies in Computational Intelligence
Author Order : 2 of 5     Creator : Warnars H.L.H.S.
2026 0 cited
An explainable data-driven framework for short-term residential energy forecasting
Q1 as Journal Energy and Buildings
Author Order : 4 of 4     Creator : Mupenzi J.N.
2026 0 cited
Prediction of Violence Against Women Using Ensemble Learning Models: A Comparative Study of LightGBM, XGBoost, and Others
Q2 as Journal International Journal of Safety and Security Engineering
Author Order : 2 of 5     Creator : Warnars H.L.H.S.
2025 1 cited
Interpretable Machine Learning for Miscarriage Risk Prediction Using Anchor Rules and Counterfactual Explanations on Large Scale Data
Q2 as Journal Hunan Daxue Xuebao Journal of Hunan University Natural Sciences
Author Order : 0 of 1     Creator : Sunge A.S.
2025 0 cited
Benchmarking Automated Machine Learning Frameworks for Miscarriage Classification with Shap-Based Feature Interpretation
no-Q as Conference Proceedin 2025 IEEE International Biomedical Instrumentation and Technology Conference Ibitec 2025
Author Order : 1 of 5     Creator : Sunge A.S.
2025 0 cited
The model interpretability on SHAP and comparison classification selection feature for heart disease prediction
Q2 as Conference Proceedin Procedia Computer Science
Author Order : 1 of 6     Creator : Sunge A.S.
2024 8 cited
PERFORMANCE COMPARISON OF DECISION TREE, RANDOM FOREST, AND XGBOOST MODELS; AND ITS INTERPRETABILITY USING SHAP FOR RECOGNIZING THE NECESSITY OF CAESAREANS SECTION OF CHILDBIRTH
Q4 as Journal Journal of Theoretical and Applied Information Technology
Author Order : 1 of 4     Creator : Sunge A.S.
2023 1 cited
Interpretable Using Feature Importance, SHAP and LIME for Caesar's Prediction
no-Q as Journal International Journal of Applied Engineering and Technology London
Author Order : 1 of 4     Creator : Sunge A.S.
2023 1 cited
Machine Learning Methods for Predicting the Necessity of Caesareans Section of Childbirth
no-Q as Conference Proceedin Proceedings 2021 IEEE 5th International Conference on Information Technology Information Systems and
Author Order : 1 of 4     Creator : Sunge A.S.
2021 4 cited
Comparison of Distance Function to Performance of K-Medoids Algorithm for Clustering
no-Q as Conference Proceedin Proceeding Icosta 2020 2020 International Conference on Smart Technology and Applications Empowering
Author Order : 1 of 4     Creator : Sunge A.S.
2020 10 cited
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Summary

Article Quartile
Research Output
  Scopus GScholar WOS
Article 13 102 0
Citation 32 360 0
Cited Document 8 53 0
H-Index 4 9 0
i10-Index 1 9 0
G-Index 1 1 0
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