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ANALISIS KOMPARATIF MODEL KLASIFIKASI KEBUGARAN DAN EVALUASI REGRESI PREDIKSI KALORI DAN CHATBOT PADA EKOSISTEM FITTRACK AI
A comparative analysis of fitness level classification modeling and predictive calorie regression evaluation into a unified health tracking ecosystem called FitTrack AI shows that XGBoost is the best classification model, with an accuracy rate of 76.37%, outperforming other algorithms.
SISTEM INFORMASI PELANGGARAN SANTRI ASRAMA AL – KHUZAIMAH PONDOK PESANTREN SALAFIYAH SYAFI’IYAH BERBABIS WEB
The results indicate that the developed system is capable of facilitating the recording of student violations, managing student information, administering sanctions, and generating reports in a more structured manner and improves the speed, accuracy, and security of data management compared to the previous manual appro...