📅 29 January 2019
DOI: 10.30646/sinus.v17i1.378
OPTIMASI METODE NAIVE BAYES DENGAN FEATURE SELECTION INFORMATION GAIN UNTUK PREDIKSI KETERLAMBATAN PEMBAYARAN SPP SEKOLAH
Jurnal Ilmiah Sinus
Universitas Tiga Serangkai
📄 Abstract
The cost of education is one component of input that is very important in implementing education. Because costs are the main requirement in an effort to achieve educational goals. SMK Al-Islam Surakarta is a private education institution that requires students to pay school fees in the form of Education Development Donations. Educational Development Donation is a routine school fee that is conducted every month. Based on last year's TU report, many students were late in paying Education Development Donations, around 60%. This is a big problem. The purpose of this study is that researchers will build a predictive system using the Naïve Bayes method. Because the method can classify the class right or late, in the payment of school fees. Data processing was taken from the dapodik data of schools in 2017/2018 with the test dataset taking 30 records. To find out the level of accuracy, this research was conducted with the Naive Bayes Method and the Information Gain Method for feature selection. Accuracy testing is done by the Confusion Matrix method. The results showed that the highest accuracy was obtained by combining the Naive Bayes Method with the Information Gain Method obtained by 90% accuracy.
🔖 Keywords
#Cost
#Naïve Bayes
#Information Gain
#Confusion Matrix
ℹ️ Informasi Publikasi
Tanggal Publikasi
29 January 2019
Volume / Nomor / Tahun
Volume 17, Nomor 1, Tahun 2019
📝 HOW TO CITE
Muqorobin, Muqorobin; Kusrini, Kusrini; Luthfi, Emha Taufiq; Program Pascasarjana Teknik Informatika, Universitas Amikom Yogyakarta, "OPTIMASI METODE NAIVE BAYES DENGAN FEATURE SELECTION INFORMATION GAIN UNTUK PREDIKSI KETERLAMBATAN PEMBAYARAN SPP SEKOLAH," Jurnal Ilmiah Sinus, vol. 17, no. 1, Jan. 2019.
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