PENINGKATAN EFFEKTIFITAS INFRASTRUKTUR AKADEMI MILITER DENGAN PENERAPAN METODE ALGORITMA REGRESI LINIER

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faisal fadhila - Kusrini Mei Kurniawan

Abstract

Abstract— In processing data to obtain useful information for the world of education, for example in predicting data on learning infrastructure for Akmil cadets by predicting the number of cadets per year. In fact, if done using the right programming, it can estimate the number of needs for study rooms, classes, laboratories, halls and facilities to support the teaching and learning process at the Military Academy. The stages of the simple Linear Regression process are by calculating the square of the independent variables X2, XY1, XY2, XY3, XY4, XY5, and the total of each variable and after knowing the total of each variable, the next step is to calculate the value of the constant a and the regression coefficient b based on the formula . To find out the results of the experimental analysis used to predict the correlation between the two variables, it is necessary to test its significance using PHP and MY SQL applications. Significance testing is carried out using hypothesis testing. The data used in predicting facilities and infrastructure is taken from the number of cadets from 2010 to 2020 to find out the projected needs for facilities and infrastructure to get 100% accuracy.

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How to Cite
FADHILA, faisal; KUSRINI, -; KURNIAWAN, Mei. PENINGKATAN EFFEKTIFITAS INFRASTRUKTUR AKADEMI MILITER DENGAN PENERAPAN METODE ALGORITMA REGRESI LINIER. SNIA (Seminar Nasional Informatika dan Aplikasinya), [S.l.], v. 5, p. B1-4, oct. 2021. Available at: <https://snia.unjani.ac.id/web/index.php/snia/article/view/259>. Date accessed: 15 july 2024.
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