Penerapan Regresi Linear untuk Prediksi Harga Sembako

Zahara, Siti (2024) Penerapan Regresi Linear untuk Prediksi Harga Sembako. Undergraduate thesis, Politeknik Negeri Bengkalis.

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Abstract

The price of nine basic necessities (sembako) can rise and fall at any time (fluctuating), as well as the need for daily basic food price information. Therefore, it is necessary to forecast the daily basic food prices for some time ahead. One method that can be used to predict continuous numerical prices is by using the regression method. This study aims to implement the multiple linear regression method in predicting daily basic food prices, using a sample of basic food data in Bengkalis District. With a data set for the last 5 years, namely from January 1, 2020 to February 28, 2024, which was obtained from the Government data portal of Bengkalis Regency at the website address https://bapokting.bengkaliskab.go.id/. There are 5 variables in the data set, namely, date, month, year, commodity and price variables. The date, month, year and commodity variables are independent variables (predictor), while the price variable is the dependent variable (response). The result of prediction accuracy R^2 score: 0.873 or 87.3%. The application can be used to predict future food prices and help the Bengkalis government to take more effective steps to control inflation

Item Type:	Thesis (Undergraduate)
Contributors:	Contribution Contributors Email NIDN/NIDK Thesis advisor Wati, Lidya lidyawati@polbeng.ac.id NIDN0022088902
Uncontrolled Keywords:	Groceries, Price, Prediction, Linear Regression
Subjects:	410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 457 Teknik Komputer 410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 458 Teknik Informatika 410 ILMU TEKNIK > 450 TEKNIK ELEKTRO DAN INFORMATIKA > 463 Teknik Perangkat Lunak
Divisions:	Jurusan Teknik Informatika > Sarjana Terapan Rekayasa Perangkat Lunak > TUGAS AKHIR
Depositing User:	Rekayasa Perangkat Lunak A 2024
Date Deposited:	27 Aug 2024 13:57
Last Modified:	01 Sep 2024 08:19
URI:	http://eprints.polbeng.ac.id/id/eprint/14231

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