Prediksi Keterlambatan Pembayaran Sumbangan Pembinaan Pendidikan Sekolah Menggunakan Metode Naive Bayes

https://doi.org/10.63232/j-stem.v1i2.81

Authors

  • Munif Choil Universitas Muhammadiyah Jember
  • Hardian Oktavianto Universitas Muhammadiyah Jember https://orcid.org/0000-0002-2446-7401
  • Daryanto Universitas Muhammadiyah Jember
  • Lutfi Ali Muharom Universitas Muhammadiyah Jember
  • Nur Qodariyah Fitriyah Universitas Muhammadiyah Jember

Keywords:

naive bayes, prediksi, spp, SMK Nahdlatuth Thalabah

Abstract

Mengaplikasikan metode Naïve Bayes dilakukan dengan harapan dapat memprediksi adanya keterlambatan dalam pembayaran SPP. Adanya system tersebut sebagai jalan alternative apabila terjadi berbagai problema lain terkait keterlambatan pembayaran untuk sekolah. Maka pihak sekolah perlu memperoleh berbagai informasi terkait prediksi keterlambatan pembayaran SPP sehingga dapat mengambil tindakan alternative berbentuk pembinaan siswa-siswi atau orang tua yang diprediksi akan mengalami keterlambatan dalam pembayaran SPP. Hasil Penelitian ini adalah dengan adanya aplikasi kedepannya para Staff menjadi lebih cepat dalam input data, serta memproses klasifikasi keterlambatan pembayaran SPP. Menggunakan metode Naïve Bayes dalam aplikasi keterlambatan pembayaran SPP ini untuk menghindari terjadinya kesalahan dalam menentukan siswa keterlambatan pembayaran SPP. Dari hasil test Confusion Matrix, maka diperoleh jumlah True Negative sebanyak 11, dan False Positive sebanyak 2. Hasil True Positive sebanyak 12, dan False Negative sebanyak 5. Maka tingkat akurasi yang diperoleh menggunakan Algoritma Naïve Bayes sebesar 76,66%.

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Published

2026-02-03

How to Cite

Choil, M., Hardian Oktavianto, Daryanto, Muharom, L. A., & Fitriyah, N. Q. (2026). Prediksi Keterlambatan Pembayaran Sumbangan Pembinaan Pendidikan Sekolah Menggunakan Metode Naive Bayes. J-STEM: Journal of Science, Technology, Engineering, and Mathematics, 1(2), 109–118. https://doi.org/10.63232/j-stem.v1i2.81

Issue

Vol. 1 No. 2 (2025): J-STEM: Journal of Science, technology, engineering, and mathematics

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Articles
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