Peramalan Penerimaan Siswa Baru SDN 10 Koto Tinggi Menggunakan Metode Regresi Linear Sederhana
DOI:
https://doi.org/10.61132/jumabedi.v1i3.178Keywords:
Data Mining, Forecasting, Prediction, Simple Linear, RegressionAbstract
Research on forecasting new student admissions at SD Negeri 10 Koto Tinggi Surian employs data analysis using simple linear regression to predict the number of new students based on previous years and formulate it into a mathematical model. In its calculation process, this approach can adopt both quantitative and qualitative methods. The prediction error rate for the next year is very low. Out of 41 predicted students, only one differs from the actual number. The study's data spans student admissions from 2019 to 2023. The research findings demonstrate the effectiveness of conventional linear regression techniques. The prediction for 2023 indicates an intake of 42 students. Therefore, it can be concluded that simple linear regression accurately predicts new student admissions at SD Negeri 10 Koto Tinggi Surian with high accuracy.
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