Klasifikasi Penyakit Jantung Menggunakan Metode Artificial Neural Network

D Pradana, ML Alghifari, MF Juna… - Indonesian Journal of …, 2022 - jurnal.yoctobrain.org
Secara global, penyebab kematian nomor satu setiap tahunnya adalah penyakit jantung.
Penyakit jantung adalah sebuah kondisi yang menyebabkan jantung tidak dapat …

Analisis performa metode klasifikasi Naïve Bayes Classifier pada Unbalanced Dataset

E Apriliyani, Y Salim - Indonesian Journal of Data and Science, 2022 - jurnal.yoctobrain.org
Penelitian ini bertujuan menganalisis menganalisis performa metode Naïve Bayes Classifier
pada berbagai variasi unbalanced dataset. Teknik klasifikasi yang digunakan yaitu dengan …

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 …

Analisis penerapan metode K-Nearest Neighbor (K-NN) pada dataset citra penyakit malaria

A Aisyah, S Anraeni - Indonesian Journal of Data and Science, 2022 - jurnal.yoctobrain.org
Malaria adalah penyakit yang disebabkan oleh parasit protozoa dari genus plasmodium
yang menginfeksi sel darah merah. Penyakit malaria menjadi masalah kesehatan …

Performance Analysis of the Decision Tree Classification Algorithm on the Water Quality and Potability Dataset

U Zaky, A Naswin, S Sumiyatun… - Indonesian Journal of …, 2023 - jurnal.yoctobrain.org
Ensuring water potability is paramount for public health and safety. This research aimed to
assess the efficacy of the Decision Tree classification algorithm in predicting water potability …

Effectiveness Evaluation of the RandomForest Algorithm in Classifying CancerLips Data

S Khomsah, E Faizal - International Journal of Artificial …, 2023 - jurnal.yoctobrain.org
Lip cancer, though less commonly discussed, remains a significant concern in the realm of
oncology. Early detection and diagnosis are paramount for improved patient outcomes. This …

Comparative Study on the Performance of the Bagging Algorithm in the Breast Cancer Dataset

FT Admojo, BSW Poetro - International Journal of Artificial …, 2023 - jurnal.yoctobrain.org
Breast cancer remains a predominant health concern globally. Early detection, powered by
advancements in medical imaging and computational methods, plays a vital role in …

Application of the K-Nearest Neighbors (KNN) Algorithm on the Brain Tumor Dataset

E Najwaini, TE Tarigan, FP Putra - International Journal of …, 2023 - jurnal.yoctobrain.org
Brain tumors pose significant challenges in the medical domain, necessitating advanced
diagnostic techniques for early and accurate detection. This research paper presents a …

Bidirectional current WP and CBAR neural network model-based bearing fault diagnosis

J Zhu, T Liu - IEEE Access, 2023 - ieeexplore.ieee.org
In the era of artificial intelligence, the development of an efficient bearing, fault diagnosis
method is of vital importance to ensure smooth production operations and avoid major …

COMPARISON OF SGD, ADADELTA, ADAM OPTIMIZATION IN GENDER CLASSIFICATION USING CNN

S Mandasari, D Irfan, W Wanayumini… - … (Jurnal Teknologi dan …, 2023 - jurnal.stmikroyal.ac.id
Gender classification is one of the most important tasks of video analysis. A machine
learning-based approach was presented to identify male and female facial images with a …