Penerapan Naive Bayes dalam Mengidentifikasi Penyebab Remaja Desa Terlibat dalam Judi Online
-
M Haziq Annabil
*
Universitas Islam Negeri Sumatera Utara, Medan,
Indonesia
- Rakhmat Kurniawan R Universitas Islam Negeri Sumatera Utara, Medan, Indonesia (*) Corresponding Author
Abstract
The development of digital technology and increased internet access have driven changes in adolescent social behavior, including increased involvement in online gambling activities, not only in urban areas but also in rural areas. This study aims to identify the factors that influence adolescent involvement in online gambling and to measure the level of influence of each factor using a machine learning-based classification approach. The research was conducted in Payageli Village, Sunggal District, Deli Serdang Regency, involving 507 adolescent respondents who were surveyed using a questionnaire containing 23 questions. The data obtained was analyzed using the Naive Bayes algorithm with data preprocessing, categorical attribute coding, and data division into training and test data with a ratio of 80:20. The results showed that the dominant factors influencing adolescent involvement in online gambling included peer influence, intensity of exposure to online gambling advertisements, online gaming habits, low positive leisure activities, and lack of parental supervision. The classification model built produced an accuracy rate of 98%, with high precision and recall values in each class. These findings indicate that the Naive Bayes algorithm is effective in identifying adolescents at risk of engaging in online gambling and has the potential to be used as a basis for developing data-driven prevention strategies at the village level.
Downloads
References
Agif Septia Meswari, M. R. (2023). Dampak Dari Judi Online Terhadap Masa Depan Pemuda, Desa Air Buluh Kec.Ipuh Kab.Mukomuko Provinsi Bengkulu. Jurnal Cakrawala Ilmiah, 2(5), 2097–2102.
Angga Pebdika, Ruli Herdiana, D. S. (2023). Klasifikasi Menggunakan Metode Naive Bayes Untuk Menentukan Calon Penerima PIP. JATI (Jurnal Mahasiswa Teknik Informatika), 7(1), 452–458.
Ardhan, M. U., & Adepio, M. F. (2023). Maraknya Judi Online di Kehidupan Generasi Muda dan Menurut Pandangan Hukum yang Berlaku. COMSERVA: Jurnal Penelitian Dan Pengabdian Masyarakat, 3(8), 3209–3216.
Fauzia, N. S., & Dana, R. D. (2023). Implementasi Algoritma Naive bayes dalam Klasifikasi Status Kesejahteraan Masyarakat Desa Gunungsari. BLEND SAINS JURNAL TEKNIK, 1(4). https://doi.org/10.56211/blendsains.v1i4.234
Fikri, M. I., Budianita, E., Iskandar, I., Cynthia, E. P., Islam, U., Sultan, N., Kasim, S., Islam, U., Sultan, N., Baru, S., Pekanbaru, K., & Mining, D. (2024). Klasifikasi Tingkat Kecanduan Internet Terhadap Remaja Pekanbaru Melalui Pendekatan Algoritma Naïve Bayes. ZONAsi: Jurnal Sistem Informasi, 6(2), 424–436.
Gilang, F., & Panggabean, R. (2025). Application Of Naive Bayes Algorithm For Sentiment Analysis On Economic Recession Threat. JITCoS : Journal of Information Technology and Computer System Vol., 1(1), 25–32.
Julianti, O. N., Suarna, N., Prihartono, W., Informatika, T., Cirebon, K., Online, J., Processing, N. L., & Susilawati, I. (2024). Penerapan Natural Language Processing Pada Analisis Sentimen Judi Online Di Media Sosial Twitter. JATI (Jurnal Mahasiswa Teknik Informatika), 8(3), 2936–2941.
Lidya Novega, Rahman Amin, Rahmat Saputra, Gatot Efrianto, D. N. A. (2025). Upaya Penanggulangan Judi Online Di Kalangan Pelajar. Jurnal Pengabdian Kepada Masyarakat, 4, 1–13. https://doi.org/10.31599/vvg4ds25
Moch Raffy Rizzaldi, R. H. M. (2024). Dampak Sosial Keterlibatan Anak Usia Sekolah Dalam Judi Online (Studi Kasus Desa Blagung Kecamatan Simo Kabupaten Boyolali). Al Qalam: Jurnal Ilmiah Keagamaan Dan Kemasyarakatan, 18(6), 4503–4519. https://doi.org/10.35931/aq.v18i6.4161
Nungky Asmiati, F. (2020). Penerapan Algoritma Naive Bayes Untuk Mengklasifikasi Pengaruh Negatif Game Online Bagi Remaja Milenial. JTIM : Jurnal Teknologi Informasi Dan Multimedia, 2(3), 141–149.
Nurmayanti, W. P., Ayu, D., Saky, L., Malthuf, M., Gazali, M., & Hirzi, R. H. (2021). Penerapan Naïve Bayes Dalam Mengklasifikasikan Masyarakat Miskin Di Desa Lepak. Geodika: Jurnal Kajian Ilmu Dan Pendidikan Geografi, 5(September 2019), 123–132. https://doi.org/10.29408/geodika.v5i1.3430
Pangestu, A. D., Harahap, L. S., Technology, I., Technology, I., & Pangestu, A. D. (2025). Analisis Sentimen Terkait Judi Online di Media Sosial Instagram Menggunankan Naïve Bayes. IJEDR: Indonesian Journal of Education and Development Research, 3(1), 556–561.
Selvy Afrioza, Sunia Padilah, M. M. (2024). Pengaruh penyuluhan platform judi online terhadap kesehatan mental remaja. Jurnal Ilmu Kesehatan Bhakti Husada: Health Science Journal, 15(2), 424–432. https://doi.org/10.34305/jikbh.v15i02.1275
Siregar, R. G., Lubis, A. H., & Ikhsan, M. (2025). Klasifikasi Pengaruh Negatif Game online Bagi Remaja Menggunakan Algoritma Naïve Bayes. Device : Journal Of Information System, Computer Science And Information Technology, 6(1), 232–244.
Stefanus Nanggo Matutina, Elfira Umar, F. B. (2024). Klasifikasi Tingkat Kencaduan Game Online pada Mahasiswa STIMIKOM Menggunakan Algoritma Naïve Bayes. Jurnal Ilmu Komputer Dan Bisnis, XV(1), 176–186. https://doi.org/10.47927/jikb.v15i1.730
Susana, H., & Suarna, N. (2022). Penerapan Model Klasifikasi Metode Naive Bayes Terhadap Penggunaan Akses Internet. JURSISTEKNI (Jurnal Sistem Informasi Dan Teknologi Informasi), 4(1), 2–9.
Susilawati, Heri Kurniadi, D. Novrian Syahputra, S. (2025). Penyuluhan Bahayanya Judi Online Dan Pinjaman Online Desa Panjerejo Kecamatan Gading Rejo Kabupaten Pringsewu Susilawati1,. Jurnal Media Pengabdian Kepada Masyarakat, 4(2), 73–79.
Wahyu Aji Bayu Pemungkas, M. F. A. (2024). Studi Komparasi Algoritma Naive Bayes Dan K-Nearest Neighbor Untuk Klasifikasi Keluarga Miskin Di Desa Ngadiwarno Kecamatan Sukorejo Kabupaten Kendal. STORAGE – Jurnal Ilmiah Teknik Dan Ilmu Komputer, 3(2), 127–132. https://doi.org/10.55123
Yulianti, N., Masitoh, I., & Kencana, L. (2024). Edukasi Bahaya Pinjol Ilegal dan Judol serta Pencegahannya pada Remaja Desa Purbawinangun Kabupaten Cirebon. ALMUJTAMAE: Jurnal Pengabdian Masyarakat, 4(2), 141–153. https://doi.org/10.30997/almujtamae.v4i2.15143
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Penerapan Naive Bayes dalam Mengidentifikasi Penyebab Remaja Desa Terlibat dalam Judi Online
Pages: 1651-1661
Copyright (c) 2026 M Haziq Annabil, Rakhmat Kurniawan R
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (Refer to The Effect of Open Access).
