Results 1 to 10 of about 18,911 (296)

Perbandingan Kinerja Algoritma KNN dan SVM Menggunakan SMOTE untuk Klasifikasi Penyakit Diabetes

Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Diabetes seringkali tidak terdeteksi atau didiagnosis terlambat. Hal ini dapat menyebabkan berbagai komplikasi serius, seperti kerusakan organ, stroke, dan penyakit jantung.
Asri Mulyani, Sarah Khoerunisa, Dede Kurniadi   +2 more
doaj   +1 more source

APPLICATION OF SUPPORT VECTOR MACHINE FOR CLASS IMBALANCE LEARNING TO PREDICT ANTICANCER COMPOUNDS OF MEDICINAL PLANTS IN WEST SULAWESI

Barekeng
Indonesian medicinal plants, such as turmeric and soursop, have shown promising anticancer properties through their bioactive compounds, like curcumin and extracts from soursop.
Hikmah Hikmah, Nur Hilal A Syahrir, Putri Indi Rahayu   +2 more
doaj   +1 more source

SMOTE and Weighted Random Forest for Classification of Areas Based on Health Problems in Java

Journal of Applied Informatics and Computing
Random Forest (RF) is a popular Machine Learning (ML) approach extensively employed for addressing classification issues. Nevertheless, the RF method for classification problems demonstrates suboptimal performance in cases of data imbalance.
Erwan Setiawan, Bagus Sartono, Khairil Anwar Notodiputro   +2 more
doaj   +1 more source

Analysis of the Performance Comparison between Random Forest and SVM RBF in Detecting Cyberbullying on Imbalanced Data with the SMOTE Approach

Sistemasi: Jurnal Sistem Informasi
Cyberbullying has emerged as a growing threat with the widespread adoption of social media, creating significant risks to online safety. Automatic detection of such behavior remains challenging, particularly when the training dataset is highly imbalanced.
Inna Nur Amalina, Norhikmah Norhikmah, Wahid Miftahul Ashari   +2 more
doaj   +1 more source

Prediksi Risiko Alzheimer Perbandingan Kinerja Algoritma Klasifikasi

Computer Science
Penyakit Alzheimer merupakan salah satu bentuk paling umum dari demensia yang ditandai dengan penurunan kemampuan berpikir, mengingat, dan berperilaku secara bertahap.
sidik Sidik
doaj   +1 more source

Pengukuran Kinerja Model Klasifikasi dengan Data Oversampling pada Algoritma Supervised Learning untuk Penyakit Jantung

Computer Science
Penyakit jantung tetap menjadi penyebab utama kematian di Indonesia dan dunia. Dalam data mining, ketidakseimbangan kelas antara sampel penyakit jantung dan normal dalam dataset adalah masalah serius.
Anis Masruriyah, Hilda Novita, Cici Sukmawati, Angga Ramadhan, Siti Arif, Budi Dermawan   +5 more
doaj   +1 more source

Multiclass Classification of Tomato Leaf Diseases Using GLCM, Color, and Shape Feature Extraction with Optimized XGBoost

Journal of Applied Informatics and Computing
Automatic classification of tomato leaf diseases is an essential component in advancing precision agriculture based on artificial intelligence. This study aims to develop a multiclass classification model for tomato leaf diseases by utilizing texture ...
Fransisko Andrade Laiskodat, Majid Rahardi   +1 more
doaj   +1 more source

Development of a Flask-based Application for Bank Customer Churn Prediction as a Decision Support Tool

Sistemasi: Jurnal Sistem Informasi
Customer churn prediction is a crucial aspect of the banking industry for maintaining customer loyalty and reducing the cost of acquiring new customers.
Suluh Arif Wibowo, Muhammad Rezky, Ali Ibrahim, Mira Afrina, Fathoni Fathoni   +4 more
doaj   +1 more source

Comparative Analysis of Random Forest and Support Vector Machine Algorithms for Predicting Student Retention at Ibnu Sina University

Sistemasi: Jurnal Sistem Informasi
Student retention is a critical challenge facing higher education institutions, including Ibnu Sina University (UIS), where a significant proportion of students risk not completing their studies.
dimas pradipto, I Made Artha Agastya, Agus Suryadi   +2 more
doaj   +1 more source

Comparison of Light Gradient Boosting Machine, eXtreme Gradient Boosting, and CatBoost with Balancing and Hyperparameter Tuning for Hypertension Risk Prediction on Clinical Dataset

Journal of Applied Informatics and Computing
Hypertension is a long-lasting condition that is highly prevalent and significantly contributes to cardiovascular issues, making early identification a crucial preventive action.
Dewi Ayu Murtiningsih, Bety Wulan Sari, Ika Nur Fajri   +2 more
doaj   +1 more source