The Naïve Bayes model without SMOTE is the most optimal approach for the dataset used in this study and demonstrates excellent classification performance in predicting depression risk among adolescents.
The naïve bayes algorithm is capable of providing excellent classification performance in prediction the risk of depression in adolescents, and the application of SMOTE successfully balanced the class distribution in the training data, but did not provide a significant performance improvement compared to the model with...
Maternal Mortality Rate (MMR) remains a major global and national health issue, with pregnancy-related hypertension such as preeclampsia being one of the leading causes. This study aimed to analyze the risk factors associated with severe preeclampsia (PEB) among pregnant women at the Siti Fatimah Regional Special Hospi...
The management and intervention of stunting cases in toddlers still face major challenges due to the high class imbalance in risk assessment data, where the population of normal toddlers significantly dominates the at-risk class. This condition often causes machine learning classification models to suffer from predicti...
The increasing number of cases in religious courts poses challenges in maintaining consistency in case resolution time. This study aims to analyze factors affecting case resolution time using Random Forest and Survival Analysis methods.The dataset consists of case records from the Religious Court of Lubuk Pakam Class I...
Nurhalijjah Harahap, Muhammad Iqbal, Rian Farta Wijaya· Jurnal Nasional Teknologi Ko...· 0 citations
This study analyzes the determinants of risky sexual behavior among premarital adolescents at SMK BM Sinar Husni through the lens of Bandura's Social Cognitive Theory. The factors examined include personal factors, namely knowledge, attitude, and self efficacy, and environmental factors, namely family support, peer inf...
Ulzi Echa Wiranda, Ali Napiah Nasution, A. S. Meliala et al.· Corona: Jurnal Ilmu Kesehata...· 0 citations
This study was motivated by the importance of understanding the factors that influence students' decisions in choosing educational institutions to evaluate and enhance a school's appeal. The research aims to analyze the interest level of students who chose MTs Mambaul Ulum based on location, school quality, facilities,...
Mochamad Abdul Azis, R. N., Nugroho Adhi Santoso· Merkurius : Jurnal Riset Si...· 0 citations
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