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Menampilkan 1–2 dari 2 artikel
Machine Learning-Based Spatiotemporal Modeling for Detecting Disease Hotspots in Primary Care Data
Journal of Information Technology and Computer Science
Vol 1
, No 4
(2025)
Diseases in primary health services exhibit complex spatial-temporal dynamics due to urbanization and population mobility. Conventional surveillance approaches are difficult to capture these patterns adaptively. Machine learning (ML) based on spatio-temporal modeling offers a solution with the ability to detect disease clusters automatically and with high precision. Research Objectives: This research aims to develop a machine learning model to detect disease hotspots from primary service data in...
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Pemodelan Sistem Prediksi Kelayakan Pengajuan Kredit Kepemilikan Rumah Dengan Metode C4.5 Dan Naive Bayes
Jurnal Elektronika dan Komputer
Vol 13
, No 2
(2020)
A house for every human being is the main and most important need compared to others needs in general. A financial institution is an institution engaged in the financial sector where its customers are people from various walks of life with various behaviors. Lending is a business activity that carries a high risk and affects the business continuity of a banking company. The problem that is often faced in providing home loans is determining the decision to extend credit to prospective customers,...
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