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All Journal Jurnal Manajemen Informatika Jayakarta
Christian Nicolaus Leonardo Tambunan
Universitas Bina Sarana Informatika, Jakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Materials Science & Nanotechnology

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ANALISIS PREDIKSI KUALITAS TIDUR BERDASARKAN GAYA HIDUP MENGGUNAKAN METODE C4.5 Andi Sanjaya; Naufal Daffa Erlangga; Mohammad Badrul; Fajar Mustofa; Muhammad Rakha Eka Fernada; Muhammad Pashya Mahesa Farhat; Christian Nicolaus Leonardo Tambunan
Jurnal Manajamen Informatika Jayakarta Vol 6 No 2 (2026): JMI Jayakarta (April 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v6i2.2240

Abstract

Insomnia is a common sleep disorder characterized by difficulty sleeping, which results in poor sleep quality. This condition can lead to various negative impacts such as fatigue, decreased productivity, and mental health problems. The natural sleep cycle can be disrupted by modern lifestyle habits, for example, high levels of stress at work, a lack of physical activity, and inadequate sleep duration. To analyze and classify these lifestyle factors, a predictive model will be built using the "Sleep Health and Lifestyle Dataset" from Kaggle, which consists of variables such as sleep duration, sleep quality, physical activity level, stress level, BMI category, and blood pressure. This research is implemented using the RapidMiner software with the C4.5 data mining algorithm, which has the advantage of handling both numerical and categorical attributes.
Co-Authors Andi Sanjaya Fajar Mustofa Mohammad Badrul Muhammad Pashya Mahesa Farhat Muhammad Rakha Eka Fernada Naufal Daffa Erlangga