Algorithm Implementations Naïve Bayes, Random Forest. C4.5 on Online Gaming for Learning Achievement Predictions

Algorithm Implementations Naïve Bayes, Random Forest. C4.5 on Online Gaming for Learning Achievement Predictions

• By Gata, Windu; Basri, Hasan; Hidayat, Rais; Patras, Yuyun, Elizabeth; Baharuddin, Baharuddin; Fatmasari, Rhini; Tohari, Siswanto; Wardhani, Nia, Kusuma;
• Seminar Internasional
• 1003
• 1-9

Abstract—The online game is a game which is currently booming and interest ranging from children, teens, to adults. Online games can create a sense of opium to the people who play it. Online games become a new problem for the students, because online games make learning impaired concentration. The learning achievements can be measured from the value of report cards. The challenge on this research can be carried out using a method of classification for predicting learning achievements using algorithms of classification i.e. Naïve Bayes, Random Forest, and C4.5. After the third comparison algorithm, then the prediction results obtained by learning achievements. Naïve Bayes algorithm proved that value the accuracy and value of the AUC 69.18% of 0.771 contains the classification, fair for the random forest algorithm accuracy 66.34% and AUC values of 0.738 contains the classification, fair as for algorithm C4.5 65.65% accuracy and value of the AUC of 0.686 including into poor classification. From these results it can be concluded that the naïve bayes algorithm has higher accuracy compared with the random forest algorithm and C4.5, visible difference in accuracy between the naïve bayes with random forest of 2,84%, whereas the difference between the naïve bayes with C4.5 of 3,53%. Naïve bayes algorithm is thus able to predict achievement students can study better.

• Katakunci Keywords—online games; learning achievement; naïve bayes algorithm; random forest; C4.5
• URL https://www.atlantis-press.com/proceedings/icream-18/55914201
• Penerbit ,

REFERENSI

[1] R. Syahran, “Ketergantungan Game Online dan Penanganannya,” J.

Psikol. Pendidik. Konseling, vol. 1, pp. 84–92, 2015.

[2] T. Jap, S. Tiatri, E.S. Jaya, and M.S. Suteja, “The Development of

Indonesian Online Game Addiction Questionnaire,” PLoS One, vol. 8,

no. 4, pp. 4–8, 2013.

[3] I. Beydha, “Game Online dan Prestasi Belajar,” pp. 1–10, 2015.

[4] A. Latubessy, “Hubungan Antara Adiksi Game Terhadap Keaktifan

Pembelajaran Anak Usia 9-11 Tahun,” J. SIMETRIS, vol. 7, no. 2, pp.

687–692, 2016.

[5] R.A. Amanda, “Pengaruh Game Online terhadap Perubahan Perilaku

Agresif Remaja di Samarinda,” J. Ilmu Komun., vol. 4, no. 3, pp. 290–

305, 2016.

[6] N. Husna, E. Normelani, and S. Adyatma, “Hubungan Bermain Games

dengan Motivasi Belajar Siswa Sekolah Menengah Pertama (SMP) di

Kecamatan Banjarmasin Barat,” JPG, Jurnal Pendidik. Geogr., vol. 4,

no. 3, pp. 1–14, 2017.

[7] S. Setiaji and S. Viirlia, “Hubungan Kecanduan Game Online Dan

Keterampilan Sosial Pada Pemain Game Dewasa,” J. Psikol.

Psibernetika, vol. 9, no. 2, pp. 93–101, 2016.

[8] D. Rahmawati, D. Mulyana, S. Karlinah, and P. Hadisiwi, “The Cultural

Charateristics Of Online Players In The Internet Cafes Of Jabodetabek,

Indonesia,” J. Theor. Appl. Inf. Technol., vol. 96, no. 7, pp. 1868–1883,

2018.

[9] M. P. Ni and A. Marheni, “Hubungan Kecanduan Game Online dengan

Prestasi Belajar Siswa SMP Negeri 1 Kuta,” J. Psikol. Udayana, vol. 2,

no. 2, pp. 163–171, 2015.

[10] M. Nur, “Pengaruh Keaktifan Berorganisasi, Bimbingan Orang Tua,

Kedisiplinan Belajar terhadap Prestasi Belajar Mahasiswa Pendidikan

Ekonomi Universitas Kanjuruhan Malang,” Jurnal, pp. 4–29, 2015.