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All Journal Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Magdalena Herlin Wungubelen
Institut Keguruan dan Teknologi Larantuka

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Diagnosis Gangguan Tidur Berdasarkan Gaya Hidup Menggunakan Algoritma Naïve Bayes Magdalena Herlin Wungubelen; Alfian Nara Weking; Dominikus Boli Watomakin
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 5 No. 2 (2025): Juli : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v5i2.7609

Abstract

Abstract. Sleep disorders are health problems that often arise due to unhealthy lifestyle patterns and are often overlooked for their impact. This study aims to help detect the risk of sleep disorders using the Naive Bayes algorithm. Data were collected through interviews and examinations, then processed with preprocessing and testing data and achieved a classification accuracy of 88.6% for three categories: Normal, Insomnia, and Sleep Apnea. These results support the application of the Naive Bayes algorithm as a supportive diagnostic method based on lifestyle factors. This finding is also expected to serve as a basis for providing lifestyle improvement recommendations to prevent the risk pf sleep disorders.
Co-Authors Alfian Nara Weking Dominikus Boli Watomakin