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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Riset Informatika
Wahyuni Siregar
Sekolah Tinggi Manajemen Informatika dan Komputer Royal Kisaran
Computer Science & IT

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IMPLEMENTATION OF THE TREND MOMENT METHOD IN ESTIMATING BREAD SALES Wahyuni Siregar; Arridah Zikra Syah; Indra Ramadona Harahap
Jurnal Riset Informatika Vol 4 No 2 (2022): Period of March 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3011.529 KB) | DOI: 10.34288/jri.v4i2.349

Abstract

The trend moment method is a forecasting method for producing an estimated number of future bread supplies so that there is no excess or shortage of bread stock in the coming month. Data on bread sales is used in this study every month from January to December 2021. Each month's sales records are useful for determining whether sales have increased or decreased. The study's findings include the development of a computerized system that can generate approximate numbers in predicting deals for the following month utilizing the PHP and MySQL programming dialects, making it simpler to determine how much bread will be sold while taking into account the stock of goods and how much will be produced in the coming months. the following month with the goal that there is no lack or abundance of bread stock. The results of sales predictions for 12 months in 2021, produce predictions in January 2022, in the 13th period with MAD (Mean Absolute Deviation) results of 40.08% and MSE (Mean Squared Error) rates of 27.64%.
IMPLEMENTATION TREND MOMENT FOR PREDICTING HOYA BREAD SALES Wahyuni Siregar; Arridah Zikra Syah; Indra Ramadona Harahap Ramadona Harahap
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 9 No 3 (2022): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat (LPPM) STMIK Global Informatika MDP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v9i3.2299

Abstract

Prediction of bread sales accurately and efficiently using the trend moment method. A forecast to produce an estimated number of bread supplies in the future, so that there is no excess or shortage of bread stock in the coming month. In this study, data on bread sales are used every month, from January to December 2021. Sales records for each month are useful to see whether they have increased or decreased. The results of this study are the creation of a computerized system that is able to generate approximate numbers in predicting sales for the next month using the PHP and MySQL programming languages, making it easier to find out how much bread will be sold and considering the stock of goods and how much will be produced in the next month. the following month so that there is no shortage or excess of bread stock. The results of sales predictions for 12 months in 2021, produce predictions in January 2022, in the 13th period with MAD (Mean Absolute Deviation) results of 40.08% and MSE (Mean Squared Error) rates of 27.64%.
Co-Authors Arridah Zikra Syah Harahap, Indra Ramadona Indra Ramadona Harahap Ramadona Harahap