Penerapan Metode Regresi Linier Untuk Prediksi Diare Menggunakan Python

Denci Puspa Aprilia; Andri Anto T. S; Lukman Sunardi

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Affiliations

Denci Puspa Aprilia
Universitas Bina Insan

Andri Anto T. S
Unviersitas Bina Insan

Lukman Sunardi
Universitas Bina Insan, Lubuklinggau

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Penerapan Metode Regresi Linier Untuk Prediksi Diare Menggunakan Python

Denci Puspa Aprilia ,
Andri Anto T. S ,
Lukman Sunardi

Proceedings Economic, Social Science, Computer, Agriculture and Fisheries (ESCAF) 3rd 2024

Submitted: Feb 2, 2024

Abstract

Diarrhea is the disease with the most cases. This is shown by the high number of diarrhea sufferers in Community Health Centers in Regency/City areas which ranks highest every year and is the disease with the most cases. This is shown by the number of diarrhea sufferers in Community Health Centers in the City/Regency area. However, it is difficult to know the actual number of patients suffering from diarrhea because we remember that many sufferers are not recorded because they do not visit health service places. Looking at the conditions, it is necessary to be able to determine the most dominant factors in predicting the number of patients with diarrhea at the Terawas Health Center UPT. Linear Regression is used to predict the relationship between a dependent variable (Y) and a series of independent variables (X). With a prediction system for the number of patients with diarrhea, the UPT Puskesmas Terawas can predict the number of patients with diarrhea in the future, so that it can prepare all the needs and actions to deal with diarrhea at the UPT Puskesmas Terawas.