Social Distancing, Level Of Understanding, Student, Algorithm C4.5


Pandemic Corona Disease 19 or called Covid19 raises a situation that requires every level of society to maintain health and perform activities work from home. One suggestion from the government is to implement social distancing for the academic community, one of which is students. However, not all students can do it due to the lack of understanding of social distancing and the demands of working status, this study seeks to measure the level of understanding of students in knowing social distancing and applying it in current conditions. Based on the questionnaire data collection distributed with the number of respondents 287 students with vulnerable ages 18-25 years later conducted a classification of datamining using the C4.5 algorithm with tree modeling, the results obtained that the accuracy of 93.73%, with class precision that is predictions of students understanding social distancing ( 96.97%), students understand but have to work (100%) and students hesitate (75.71%).


Download data is not yet available.

Author Biographies

I Nyoman Alit Arsana, STMIK STIKOM Indonesia

Teknik Informatika

Made Leo Radhitya, STMIK STIKOM Indonesia

Teknik Informatika


C. C. Lai, T. P. Shih, W. C. Ko, H. J. Tang, and P. R. Hsueh, “Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges,†Int. J. Antimicrob. Agents, vol. 55, no. 3, p. 105924, 2020.

“Situasi Virus Corona –†[Online]. Available: [Accessed: 01-Apr-2020].

D. Hodgetts and O. Stolte, “Social Distance BT - Encyclopedia of Critical Psychology,†T. Teo, Ed. New York, NY: Springer New York, 2014, pp. 1776–1778.

Australian Government Department of Health & Ageing, “Social distancing - Evidence Summary,†2014.

“Protokol Penanganan COVID-19 di Area Institusi Pendidikan –†[Online]. Available: 10 Maret 2020[Accessed: 01-Apr-2020].

H. R. Moskowitz, “Questionnaire Design,†in Viewpoints and Controversies in Sensory Science and Consumer Product Testing, Trumbull, Connecticut, USA: Food & Nutrition Press, Inc., 2008, pp. 191–208.

D. T. Larose, Data Mining Methods and Models. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005.

A. R. Febie Elfaladonna, “Analisa Metode Classification-Decission Tree Dan Algoritma,†Sci. Inf. Technol., vol. 2, no. 1, pp. 10–17, 2019.

Y. Yulia and N. Azwanti, “Penerapan Algoritma C4.5 Untuk Memprediksi Besarnya Penggunaan Listrik Rumah Tangga di Kota Batam,†J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 2, no. 2, pp. 584–590, Aug. 2018.

D. H. Kamagi and S. Hansun, “Implementasi Data Mining dengan Algoritma C4.5 untuk Memprediksi Tingkat Kelulusan Mahasiswa,†J. Ultim., vol. 6, no. 1, pp. 15–20, 2014.

F. Riandari and A. Simangunsong, “Penerapan Algoritma C4.5 Untuk Mengukur Tingkat Kepuasan Mahasiswa,†J. Mantik Penusa, vol. 3, no. 2, pp. 1–7, 2019.

M. G. Sadewo, A. P. Windarto, I. S. Damanik, and D. Hartama, “Penerapan C4.5 Untuk Memprediksi Kepuasan Pasien Terhadap Sistem Informasi Manajemen Rumah Sakit (SIMRS) Pada Rumkit Tk. IV 01.07.01 Pematangsiantar,†Ready Star, vol. 1, no. 1, pp. 21–30, Apr. 2018.

F. Adelia, S. Suhada, and R. Dewi, “Penentuan Tingkat Kepuasan Pasien BPJS Terhadap Kualitas Pelayanan di Rumah Sakit dengan Menggunakan Algoritma C4.5,†Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. September, p. 472, 2019.

N. Rofiqo, A. P. Windarto, and E. Irawan, “Penerapan Algoritma C4.5 pada Penentuan Tingkat Pemahaman Mahasiswa Terhadap Matakuliah,†Pros. Semin. Nas. Ris. Inf. Sci., vol. 1, no. September, p. 307, 2019.




How to Cite

I. G. I. Sudipa, I Nyoman Alit Arsana, and Made Leo Radhitya, “PENENTUAN TINGKAT PEMAHAMAN MAHASISWA TERHADAP SOCIAL DISTANCING MENGGUNAKAN ALGORITMA C4.5”, SINTECH Journal, vol. 3, no. 1, pp. 1-7, Apr. 2020.