JATI (Jurnal Mahasiswa Teknik Informatika)
Vol. 6 No. 1 (2022): JATI Vol. 6 No. 1

APLIKASI PREDIKSI STOK POPOK BAYI BERBASIS WEB DENGAN METODE TREND MOMENT

Budiana, Hernik Diah (Unknown)
Lestanti, Sri (Unknown)
Nur Budiman, Saiful (Unknown)



Article Info

Publish Date
10 Dec 2021

Abstract

Sinar Makmur Supermarkets so far in determining the number of goods to be ordered to distributors still rely on intuition and work experience of employees, so there must be an application that can predict stock of goods. The method that can assist business owners in managing stock in stores is the forecasting method or prediction using the Trend Moment algorithm. This research includes development research using Trend Moment as an application development algorithm. The results of the Black Box test state that the functional requirements of the applications made can function properly with the results of application suitability of 95.83% and the normal level of 89.17% while the MAPE test results for baby diapers with types S40, M36, L32, XL28 and XXL24 respectively were 0.258%, 0.495%, 0.385%, 0.175% and 0.321%.

Copyrights © 2022






Journal Info

Abbrev

jati

Publisher

Subject

Computer Science & IT

Description

Adalah jurnal mahasiswa yang diterbitkan oleh Teknik Informatika Institut Teknologi Nasional Malang, sebagai media publikasi hasil Skripsi Mahasiswa Teknik Informatika ke khalayak luas, diterbitkan secara berkala 6 kali setahun pada bulan Februari, April, Juni, Agustus, Oktober, ...