Improving Multi-Class Classification on 5-Celebrity-Faces Dataset using Ensemble Classification Methods

N Rismayanti, AP Utami - Indonesian Journal of Data and …, 2023 - jurnal.yoctobrain.org
This study aims to compare the performance between Random Forest Classifier and
Gaussian Naïve Bayes Classifier in classification. Several evaluation metrics such as …

Comparison Analysis of Classification Model Performance in Lung Cancer Prediction Using Decision Tree, Naive Bayes, and Support Vector Machine

D Widyawati, A Faradibah… - Indonesian Journal of …, 2023 - jurnal.yoctobrain.org
This research aims to analyze the performance of three classification models, namely
Decision Tree Classifier, Support Vector Machine, and Naive Bayes Classifier, in predicting …

SVM Multi-Class Algorithm for Soybean Land Suitability Evaluation

A Nurkholis, IS Sitanggang, A Matin… - 2022 International …, 2022 - ieeexplore.ieee.org
Food independence is the ideal of a nation, including Indonesia. However, some agricultural
commodities are highly dependent on other countries, such as soybean, one of Indonesia's …

Betel leaf classification using color-texture features and machine learning approach

N Puspitasari, A Septiarini, U Hairah, A Tejawati… - Bulletin of Electrical …, 2023 - beei.org
The existence of machine learning has been exploited to solve difficulties in various fields,
including the classification of leaf species in agriculture. Betel leaf is one of the plants that …

Performance of CART Time-Based Feature Expansion in Dengue Classification Index Rate

AH Suhendar, AA Rohmawati… - Sinkron: jurnal dan …, 2024 - jurnal.polgan.ac.id
This study proposes utilizing the machine learning technique CART to classify the spread of
dengue hemorrhagic fever (DHF). To expand the features used, the CART classification …

[PDF][PDF] Analysis of machine repair time prediction using machine learning at one of leading footwear manufacturers in Indonesia

YA Purmala, S Sudarto - … Journal of Artificial Intelligence (IJ-AI), 2023 - researchgate.net
Machine breakdowns in the production line mostly finish in more than 18 minutes, since the
machine that needs repair more time is done on the production line, not in the machine …

Effectiveness of a diagnostic algorithm for dengue based on an artificial neural network

CA Ruiz Valdez, OM Alejo Martínez… - Digital …, 2024 - journals.sagepub.com
Introduction Dengue is a disease with a wide clinical spectrum. The early identification of
dengue cases is crucial but challenging for health professionals; therefore, it is necessary to …

Prediction of heart disease using random forest algorithm, support vector machine, and neural network

D Setiyadi, H Henderi, A Suryaningrat… - TELKOMNIKA …, 2025 - telkomnika.uad.ac.id
The heart is a vital organ responsible for pumping blood throughout the human body.
Machine learning has become an increasingly important tool in medical forecasting …

A bibliometric analysis of the advance of artificial intelligence in medicine.

L Andrade-Arenas… - International Journal of …, 2024 - search.ebscohost.com
This bibliometric study analyzes the evolution of research in artificial intelligence (AI) applied
to medicine from 2015 to September 2023. Using the Scopus database and keywords …

SYNDIAG: an expert system for disease syndrome diagnosis of traditional Vietnamese medicine

TH Thuy, HM Toan, VT Lam… - … Electronics and Control), 2024 - telkomnika.uad.ac.id
Vietnam medicine consists of traditional Vietnam medicine and Western medicine. There is
a lack of experienced traditional medicine practitioners, therefore, it needs to develop an …