PENERAPAN METODE REGRESI LINIER BERGANDA UNTUK PREDIKSI PERMINTAAN OBAT DI PUSKESMAS KAMPAR UTARA
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Institusion
Institut Teknologi Perusahaan Listrik Negara
Author
Aulya, Intan
Rasyid, Abdur
Haris, Abdul
Rasyid, Abdur
Haris, Abdul
Subject
Teknik Informatika
Datestamp
2022-09-21 01:51:42
Abstract :
In Puskesmas Kampar Utara, planning process for drug requests is still carried out by estimating. This research is about calculating the prediction of drug demand. This study aims to display predictive results to minimize the excess availability of drugs and be able to predict future drug needs. The method applied to build this system is multiple linear regression. Multiple linear regression is used to calculate predictions in drug demand. As for the testing system the accuracy of prediction errors in this study uses Mean Absolute Percentage Error (MAPE). Based on the results of tests on 25 drug inventory data that have been carried out, the Multiple Linear Regression method has an accuracy rate of 99.99790475%
In Puskesmas Kampar Utara, planning process for drug requests is still carried out by estimating. This research is about calculating the prediction of drug demand. This study aims to display predictive results to minimize the excess availability of drugs and be able to predict future drug needs. The method applied to build this system is multiple linear regression. Multiple linear regression is used to calculate predictions in drug demand. As for the testing system the accuracy of prediction errors in this study uses Mean Absolute Percentage Error (MAPE). Based on the results of tests on 25 drug inventory data that have been carried out, the Multiple Linear Regression method has an accuracy rate of 99.99790475%
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