Implementasi Algoritma Naive Bayes Untuk Memprediksi Predikat Ketuntasan Belajar Siswa Pasca Pandemi Covid 19

Muhammad Saiful, Samsuddin Samsuddin

Abstract


During the Covid-19 pandemic, SMA Negeri 3 Selong changed learning activities from what was originally face-to-face, but currently learning is being transferred to the Online Learning System (SPADA) using several existing platforms. Judging from the level of plurality of students' thinking patterns during the implementation of online learning there are many problems that arise, one of which is the instability of the internet network, the various hendpone media devices owned by students and the lack of student knowledge in using online platforms. The purpose of this study was to determine the indicator of the problem in the predicate of student learning completeness of class XII SMAN 3 Selong during the post-COVID-19 pandemic. The method used to solve this problem is the Naïve Bayes algorithm. Naive Bayes is a method of probabilistic reasoning. And in the future the results of this study are expected to be able to provide the right solution in solving problems in online learning.


Keywords


Data Mining, Naive Bayes Algorithm, Learn Online.

Full Text:

PDF

References


. S. Muhammad, “Klasifikasi Kinerja Dosen STT Hamzanwadi Menggunakan Naive Bayes Berbasis PSO,” vol. I, no. June, 2016.

.M. S. Silviana Damayanti, “Penerapan Algoritma Naive Bayes Untuk Klasifikasi Data Berdasarkan Usia Lanjut Di Desa Lekor Kecamatan Janapria Lombok Tengah.”

.M. H. Rifqo and A. Wijaya, “Implementasi Algoritma Naive Bayes Dalam Penentuan Pemberian Kredit,” Pseudocode, vol. 4, no. 2, pp. 120–128, 2017, doi: 10.33369/pseudocode.4.2.120-128.

. Amri Muliawan, “Komparasi Algoritma SVM Dan SVM Berbasis PSO Dalam Menganalisa Kinerja Guru SMAN 3 Selong,” vol. 2, no. 2, pp. 15–16, 2019.

H. Ouassou et al., “The Pathogenesis of Coronavirus Disease 2019 (COVID-19): Evaluation and Prevention,” J. Immunol. Res., vol. 2020, p. 1357983, 2020, doi: 10.1155/2020/1357983.

Alimuddin and M. Saiful, “Implementation of the Neural Network (NN) Algorithm in Analysis of Student Class Increment Data Based on Report Card Value,” J. Phys. Conf. Ser., vol. 1539, no. 1, 2020, doi: 10.1088/1742-6596/1539/1/012034.

H. Ouassou et al., “The Pathogenesis of Coronavirus Disease 2019 (COVID-19): Evaluation and Prevention,” J. Immunol. Res., vol. 2020, p. 1357983, 2020, doi: 10.1155/2020/1357983.

N. Chen et al., “Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study,” Lancet, vol. 395, no. 10223, pp. 507–513, 2020, doi: 10.1016/S0140-6736(20)30211-7.

Amrin Amrin, “Data Mining Dengan Algoritma Apriori untuk Penentuan Aturan Asosiasi Pola Pembelian Pupuk,” Paradigma, vol. XIX, no. 1, pp. 74–79, 2017, doi: https://doi.org/10.31294/p.v19i1.1836.

N. Pransiska and A. H. Mirza, “Bina Darma Conference on Computer Science Penerapan Data Mining Prediksi Penjualan Barang Elektronik Terlaris Menggunakan Algoritma Naïve Bayes ( Study Kasus : Planet Cash And Credit Cabang Muara Enim ) Bina Darma Conference on Computer Science,” pp. 2157–2169, 2016.


Article Metrics

Abstract view : 0 times
PDF - 0 times

Refbacks

  • There are currently no refbacks.


Copyright (c) 2021 Infotek : Jurnal Informatika dan Teknologi

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

View My Stats