SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025

PREDIKSI DIABETES: ANALISIS KOMPREHENSIF DENGAN KLASIFIKASI NAÏVE BAYES DAN INTEGRASI RAPIDMINER

Muttaqin, Aji (Unknown)
Wahyuni, Tantri (Unknown)

Article Info

Publish Date
01 Oct 2025

Abstract

This research explores diabetes prediction using a classification method by applying the Naive Bayes algorithm and utilizing the RapidMiner application. Using a clinical dataset that includes parameters such as glucose levels, body mass index, and blood pressure, a predictive model was developed and evaluated with an efficient data processing approach via RapidMiner. Experiments show that this model provides accurate predictions regarding diabetes risk. These findings can support the implementation of practical solutions in the early diagnosis of diabetes.

Copyrights © 2025




Citation Download
RIS
EndNote, Reference Manager, ProCite
BibTex
Latex, Jabref
Original Source
Download Original
Google Scholar
Check in Google Scholar
Journal Info
SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Website

Abbrev

stima

Publisher

Universitas Majalengka

Subject

Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Description

Prosiding SEMINAR TEKNOLOGI MAJALENGKA (STIMA) adalah publikasi ilmiah yang memuat hasil-hasil penelitian orisinal dan terkini dari para akademisi, peneliti, dan praktisi di berbagai bidang teknik dan manajemen. Prosiding ini memiliki sifat multidisiplin, berfokus pada integrasi ilmu pengetahuan ...