IMPLEMENTATION OF C4.5 METHOD TO DETERMINE THE FACTOR OF BEING LATE FOR COMING TO SCHOOL

  • Cendana Puspitasari (1*) Mahasiswa

  • (*) Corresponding Author
Keywords: C4.5, Data Mining, Forward Selection, Belated, Classification

Abstract

Being late to school is a deviant act that violates the rules or regulations in the school both written and unwritten. The discipline of students coming to school is the first to see, some common factors that occur delays can occur include: distance to school, hours of wake up, hours of departure, travel conditions, and vehicles used. In this study, the authors used the Classification algorithm with the C4.5 method and the Forward selection method. The sample used was questionnaire data for students of class VIII (eight) in State Junior High School 271 totaling 270 students. Using training data, certain attributes are determined to form a classifier model. The results of this study are the results of the accuracy of the C4.5 method of 60.74% with the results of the tree showing congestion is a factor of school delay and the results of the accuracy of 65.93% for Forward selection and get the 3 best attributes.

Downloads

Download data is not yet available.

References

Akhmad Rizkon. 2019. “Pengaruh Metode Islah Mubasyir Terhadap Kedisiplinan Santri Pondok Pesantren Al-Basyariyah Kabupaten Bandung.” Jurnal Pendidikan Islam Indonesia 4(1):23–29.

Amirulloh, Imam and Taufiqurrochman. 2017. “Komparasi Model Klasifikasi Algoritma Keterlambatan Siswa Masuk Sekolah.” Seminar Nasional Sains Dan Teknologi Fakultas Teknik Universitas Muhammadiyah Jakarta (November):1–4.

Budiman, Irwan, Toni Prahasto, and Yuli Christyono. 2012. “Data Clustering Menggunakan Metodologi Crisp-DM Untuk Pengenalan Pola Proporsi Pelaksanaan Tridharma.” Pp. 1–6 in Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2012. Yogyakarta: Universitas Islam Indonesia.

Insyiroh, Lailatul and Najlatun Naqiyah. 2017. “Studi Tentang Penanganan Siswa Yang Terlambat Tiba Di Sekolah Oleh Guru BK SMA Negeri 1 Gresik.” Jurnal BK UNESA 7(1):1–8.

Nurhasan, Fuad, Noer Hikmah, and Dwi Yuni Utami. 2018. “Perbandingan Algoritma C4.5, KNN, Dan Naive Bayes Untuk Penentuan Model Klasifikasi Penanggung Jawab BSI Entrepreneur Center.” Jurnal Pilar Nusa Mandiri 14(2):169–74.

Pramono, Fajar, Suwanda Aditya Saputra, Burhanuddin, and Kusuma Ade. 2018. “Komparasi Klasifikasi Penentuan Keterlambatan Siswa SMA Datang Upacara Menggunakan Algoritma C4.5.” Seminar Nasional Teknologi Informasi Dan Komunikasi 2018(Sentika):80–86.

Saleh, Hamsir. 2017. “Prediksi Kebangkrutan Perusahaan Menggunakan Algoritma C4.5 Berbasis Forward Selection.” ILKOM Jurnal Ilmiah 9(2):173–80.

Sulistiyono, Joko. 2018. “Peningkatan Kedisiplinan Masuk Sekolah Jam Pelajaran Pertama Melalui Konseling Kelompok Client Centered.” Jurnal Penelitian Pendidikan Indonesia 3(2):1–8.

Published
2020-06-02
How to Cite
Puspitasari, C. (2020). IMPLEMENTATION OF C4.5 METHOD TO DETERMINE THE FACTOR OF BEING LATE FOR COMING TO SCHOOL. Jurnal Riset Informatika, 2(3), 115-120. https://doi.org/10.34288/jri.v2i3.132
Article Metrics

Abstract viewed = 35 times
PDF downloaded = 20 times