APLIKASI PREDIKSI STOK ALAT KONTRASEPSI STUDI KASUS BKKBN PROVINSI RIAU MENGGUNAKAN METODE LEAST SQUARE
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Date
2023-09
Authors
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Journal ISSN
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Publisher
Elfitra
Abstract
The importance of data collection in determining the amount of stock of contraceptives,
makes BKKBN need to predict and record the outgoing stock and incoming stock of
contraceptives so that forecasting is needed in predicting the number of contraceptives.
The aim of this research is to predict the number of stocks of contraceptives using the
least squares method. The Least Square method is a time series data method that requires
historical data to anticipate future sales in order to determine the results. The system
design uses the Unified Modeling Language that are Use Dase Diagrams, Sequence
Diagrams and Class Diagrams which are implemented using the PHP programming
language and MySQL database. The data used in the study are the expenditure data for
contraception devices at BKKBN Riau Province from January to December 2022. The
predicted results of contraceptive stock (least square/Y^) in January 2023 are the types
of birth control pills (10,347), implants (3,375), progestin pills/Gestin F3 (247), condoms
(80), progestin injections (23,555) and IUDs. Chopper T (543). Prediction results were
tested using MSE for the types of birth control pills (8,921,648), implants (949,304),
progestin/gestin F3 pills (5,083), condoms (533), progestin injections (46,238,287) and
Choper T IUD (24,587). The prediction results were declared successful because the least
square (Y^) value obtained was lower than the MSE value, so this system can be
recommended to related parties who need it.
Description
Keywords
Contraceptive Devices, BKKBN, Least Square, MSE, Prediction, Stock
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