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All Journal Jurnal Qua Teknika
Mohammad Annan Makruf Mustofa
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Engineering

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PENERAPAN RANDOM FOREST UNTUK DETEKSI DINI PENYAKIT PARKINSON’S DENGAN DATA FREKUENSI SUARA Mohammad Annan Makruf Mustofa; Sucipto; Arie Nugroho
Jurnal Qua Teknika Vol 15 No 02 (2025): September 2025
Publisher : Universitas Islam Balitar Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35457/quateknika.v15i02.4563

Abstract

Parkinson’s Disease is a progressive neurological disorder that affects motor functions and verbal communication of the patients. Early detection of this disease is crucial to improving patients’ quality of life. This study aims to develop an early detection system for Parkinson’s Disease by utilizing sound frequency as the primary feature. The algorithm employed in this research is Random Forest, with the analysis process following the CRISP-DM approach, which includes six phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. Based on the test results, the developed model achieved an accuracy of 94.92% on the dataset used. These findings indicate that the Random Forest algorithm can be effectively implemented as an early detection system for Parkinson’s Disease using sound frequency data.
Co-Authors Arie Nugroho Sucipto