KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer & Manajemen)- SINTA 4
Associate Professor Tutut Herawan, PhD STIKOM Tunas Bangsa, Pematangsiantar North Sumatera, Indonesia Web of Science ResearcherID: AAB-6534-2021 Scopus ID: 35085139400
Prediksi Pesediaan Stock Pulsa Menggunakan Fuzzy Linear Regresion
Misdiyanto Misdiyanto(1*),
(1) Fakultas Teknik, Universitas Panca Marga Probolinggo (*) Corresponding Author
Abstract
Electronic phone credit (pulsa) sales at this time showed an outstanding increase, because of the needs of phone credit usage every day by the society that has now became a need. Phone credit business will never stop because human always communicate with one another. To ensure the availability of the product in the phone credit server, the phone credit server manager routinely, in a particular period, inventorize the purchase of phone credit products. From the exploration above, the market conditions in a business are always changing, In a business. Process prediction is important for every business person in decision-making. Then, there is a need to build a prediction system that could predict phone credit transactions in the next period. Results or output of this system is predictive value of transactions in the next period with average error value of 4% using β1=0,5 and β2=0,2. Therefore, it can be used as a reference for the management in the decision-making.
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