ANALISIS PREDIKSI KUALITAS TIDUR BERDASARKAN GAYA HIDUP MENGGUNAKAN METODE C4.5

  • Andi Sanjaya Universitas Bina Sarana Informatika, Jakarta
  • Naufal Daffa Erlangga Universitas Bina Sarana Informatika, Jakarta
  • Mohammad Badrul Universitas Bina Sarana Informatika, Jakarta
  • Fajar Mustofa Universitas Bina Sarana Informatika, Jakarta
  • Muhammad Rakha Eka Fernada Universitas Bina Sarana Informatika
  • Muhammad Pashya Mahesa Farhat Universitas Bina Sarana Informatika, Jakarta
  • Christian Nicolaus Leonardo Tambunan Universitas Bina Sarana Informatika, Jakarta

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.

References

[1] K. Tidur, K. Fakhruddin, and S. Entas, “Perbandingan Algoritma C4.5 dan Naïve Bayes dalam Prediksi,” Jurnal Ilmu Kesehatan Umum (Vitamin), vol. 3, no. 4, 2025, doi: 10.61132/vitamin.v3i4.1773.
[2] Imam Nawawi and Zaehol Fatah, “Penerapan Decision Trees dalam Mendeteksi Pola Tidur Sehat Berdasarkan Kebiasaan Gaya Hidup,” JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI, vol. 2, no. 4, pp. 34–41, Oct. 2024, doi: 10.59024/jiti.v2i4.969.
[3] E. Maulida, A. Fitri Hidayati, F. Y. Silalahi, and Y. D. Prasetyo, “Implementasi Algoritma K-Means Clustering dalam Penentuan Gangguan Tidur Seseorang berdasarkan Gaya Hidup,” 2024.
[4] S. D. Putra, D. Aryani, H. Syofyan, and V. Yasin, “Aplikasi Augmented Reality Geometri Sekolah Dasar Untuk Bangun Datar dan Ruang Menggunakan Metode Marker Based Tracking,” J. Media Inform. Budidarma, vol. 7, no. 1, pp. 250–259, 2023, doi: http://dx.doi.org/10.30865/mib.v7i1.5281.
[5] I. Ihramsyah, V. Yasin, and J. Johan, “Perancangan Aplikasi Sistem Informasi Penjualan Makanan Cepat Saji Berbasis Web Studi Kasus Kedai Cheese. Box,” J. Widya, vol. 4, no. 1, pp. 117–139, 2023, doi: https://doi.org/10.54593/awl.v4i1.170.
[7] N. Amalya and V. Yasin, “Perbandingan Algoritma Resilient Backpropagation Dan Conjugate Gradient Polak-Ribiere Dalam Memprediksi Penyakit Stroke,” J. Inov. Sist. Inf. Ilmu Komput., vol. 1, no. 1, pp. 12–19, 2023, [Online]. Available: https://jisiilkom.org/index.php/journal/article/view/6
[8] H. Iswanto, V. Yasin, J. Johan, and R. Hartawan, “MONITORING APPLICATION FOR SUBMISSION OF PBJ TRANSACTION REPORTS ON PPATK,” JISICOM (Journal Inf. Syst. Informatics Comput., vol. 7, no. 1, pp. 179–187, 2023, doi: https://doi.org/10.52362/jisicom.v7i1.704.
[9] A. Jazaudhi’fi, A. V. Vitianingsih, Y. Kristyawan, A. L. Maukar, and V. Yasin, “Recommendation System to Determine Achievement Students Using Naïve Bayes and Simple Additive Weighting (SAW) Methods,” Digit. Zo. J. Teknol. Inf. dan Komun., vol. 15, no. 1, pp. 67–79, 2024, doi: https://doi.org/10.31849/digitalzone.v15i1.19746.
[10] M. Z. Ardha, V. Yasin, and S. Solikhun, “The Application of the Fletcher-Reeves Algorithm to Predict Spinach Vegetable Production in Sumatra,” Int. J. Eng. Comput. Sci. Appl., vol. 2, no. 1, pp. 11–22, 2023, doi: https://doi.org/10.30812/ijecsa.v2i1.2417.
[11] M. Usnaini, V. Yasin, and A. Z. Sianipar, “Perancangan sistem informasi inventarisasi aset berbasis web menggunakan metode waterfall,” J. Manajamen Inform. Jayakarta, vol. 1, no. 1, pp. 36–55, 2021, doi: https://doi.org/10.52362/jmijayakarta.v1i1.415.
[12] A. Mardian, T. Budiman, R. Haroen, and V. Yasin, “Perancangan Aplikasi Pemantauan Kinerja Karyawan Berbasis Android di PT. Salestrade Corp. Indonesia,” J. Manajamen Inform. Jayakarta, vol. 1, no. 3, pp. 169–185, 2021, doi: https://doi.org/10.52362/jmijayakarta.v1i3.481.
[13] V. Yasin, P. Peniarsih, A. Gozali, and I. Junaedi, “Application of expert system diagnosis of color blindness with ishihara method with microsoft vb 6.0,” Int. J. Informatics, Econ. Manag. Sci., vol. 1, no. 1, pp. 13–31, 2022, doi: https://doi.org/10.52362/ijiems.v1i1.678.
[14] I. Junaedi, D. Abdillah, and V. Yasin, “Analisis Perancangan Dan Pembangunan Aplikasi Business Intelligence Penerimaan Negara Bukan Pajak Kementerian Keuangan RI,” J. Inf. Syst. Applied, Manag. Account. Res., vol. 4, no. 3, pp. 88–101, 2020, [Online]. Available: https://journal.stmikjayakarta.ac.id/index.php/jisamar/article/view/249
[15] M. Awaludin and V. Yasin, “Application of Oriented Fast and Rotated BRIEF ( ORB ) and BruteForce Hamming in Library OpenCV for Classification,” J. Inf. Syst. Applied, Manag. Accounting, Reserarch. Jakarta., vol. 4, no. 3, pp. 51–59, 2020, [Online]. Available: https://journal.stmikjayakarta.ac.id/index.php/jisamar/article/view/247
[16] A. Rohmadi and V. Yasin, “Desain dan penerapan website tata kelola percetakan pada CV Apicdesign Kreasindo Jakarta dengan metode prototyping,” J. Inf. Syst. Informatics Comput., vol. 4, no. 1, pp. 70–85, 2020, [Online]. Available: https://journal.stmikjayakarta.ac.id/index.php/jisicom/article/view/210
[17] N. Mulyana, A. Sulistyanto, and V. Yasin, “PERANCANGAN SISTEM INFORMASI PENGELOLAAN ASET IT BERBASIS WEB PADA PT MANDIRI AXA GENERAL INSURANCE,” J. Manajamen Inform. Jayakarta, vol. 1, no. 3, pp. 243–257, 2021, doi: https://doi.org/10.52362/jmijayakarta.v1i3.498.
[18] P. Setiani, I. Junaedi, A. Z. Sianipar, and V. Yasin, “Perancangan sistem informasi pelayanan penduduk berbasis website di rw 010 Kelurahan Keagungan Kecamatan Tamansari-Jakarta Barat,” J. Manajamen Inform. Jayakarta, vol. 1, no. 1, pp. 20–35, 2021, doi: https://doi.org/10.52362/jmijayakarta.v1i1.414.
[19] I. Junaedi, N. Nuswantari, and V. Yasin, “Perancangan Dan Implementasi Algoritma C4. 5 Untuk Data Mining Analisis Tingkat Risiko Kematian Neonatum Pada Bayi,” J. Inf. Syst. Informatics Comput., vol. 3, no. 1, pp. 29–44, 2019, [Online]. Available: https://journal.stmikjayakarta.ac.id/index.php/jisicom/article/view/203
[20] M. Hendriawan, T. Budiman, V. Yasin, and A. S. Rini, “PENGEMBANGAN APLIKASI E-COMMERCE DI PT. PUTRA SUMBER ABADI MENGGUNAKAN FLUTTER,” J. Inf. Syst. Informatics Comput., vol. 5, no. 1, pp. 69–88, 2021, doi: https://doi.org/10.52362/jisicom.v5i1.371.
[21] H. Heriyanto, V. Yasin, and A. B. Yulianto, “Vipos application development design,” J. Eng. Technol. Comput., vol. 1, no. 1, pp. 19–31, 2022, [Online]. Available: https://journal.binainternusa.org/index.php/jetcom/article/view/3
[22] J. S. B. Sitepu, V. Yasin, and A. B. Yulianto, “Design information systems for the management and inventory of goods with web-based a priori algorithm methods,” J. Eng. Technol. Comput., vol. 1, no. 1, pp. 1–9, 2022, [Online]. Available: https://journal.binainternusa.org/index.php/jetcom/article/view/1
[23] D. Malini, V. Yasin, and A. Z. Sianipar, “Perancangan sistem informasi penjadwalan dan distribusi menu diet pasien di RS. Kramat 128 dengan framework laravel,” J. Sains dan Teknol. Widyaloka, vol. 1, no. 1, pp. 49–65, 2022, doi: https://doi.org/10.54593/jstekwid.v1i1.48.
[24] H. W. Wibawa, H. M. Ali, D. N. R. Permada, and V. Yasin, “Analysis Of the Effect Of E-Accounting And E-Payroll on The Effectiveness Of Internal Control,” Int. J. Informatics, Econ. Manag. Sci., vol. 1, no. 1, pp. 78–101, 2022, doi: https://doi.org/10.52362/ijiems.v1i1.706.
Published
2026-04-07
How to Cite
SANJAYA, Andi et al. ANALISIS PREDIKSI KUALITAS TIDUR BERDASARKAN GAYA HIDUP MENGGUNAKAN METODE C4.5. Jurnal Manajamen Informatika Jayakarta, [S.l.], v. 6, n. 2, p. 112-118, apr. 2026. ISSN 2797-0930. Available at: <https://journal.stmikjayakarta.ac.id/index.php/JMIJayakarta/article/view/2240>. Date accessed: 10 apr. 2026. doi: https://doi.org/10.52362/jmijayakarta.v6i2.2240.

Most read articles by the same author(s)

Obs.: This plugin requires at least one statistics/report plugin to be enabled. If your statistics plugins provide more than one metric then please also select a main metric on the admin's site settings page and/or on the journal manager's settings pages.