Implementation of artificial neural network on sales forecasting application

KJ Atmaja, IBN Pascima, IMDP Asana… - Journal of Intelligent …, 2022 - idss.iocspublisher.org
Sales forecasting is an effort to fulfill customer demands. The existence of a sales forecast,
can help trade business owners in carrying out stock management to deal with customer …

Optimising Double Exponential Smoothing for Sales Forecasting Using The Golden Section Method

KD Pradnyani, IMS Sandhiyasa… - Jurnal …, 2024 - ejournal.pancawidya.or.id
To achieve maximum profits and a satisfying impression on consumers, companies are
required to have the right strategy in selling their products. In determining the right strategy, it …

Predicted demand for 3 kg LPG gas in each provinces area in Indonesia

R Novaria, A Alfiah, M Khaddafi… - Jurnal Info Sains …, 2024 - ejournal.seaninstitute.or.id
Predicted the demand for 3 kilograms of LPG gas in different provinces of Indonesia is
crucial for assuring the provision of energy to households. By employing the Exponential …

[图书][B] DATA WAREHOUSE & BUSINESS INTELIGENCE: Teori Komprehensif

Z Setiawan, I Irmawati, S Sepriano, E Miranda… - 2023 - books.google.com
Buku berjudul" Data Warehouse & Business Intelligence: Teori Komprehensif" adalah
panduan esensial yang merinci dan menjelaskan dengan cermat semua aspek yang …

[PDF][PDF] Modeling of Forecasting the Number of Passenger Departures at I Gusti Ngurah Rai Airport Using the Double Exponential Smoothing and Triple Exponential …

IMS Sandhiyasa, I Negara… - ISAR J. Sci …, 2024 - isarpublisher.com
This study aims to determine the comparison of forecasting methods where the number of
passenger departures at I Gusti Ngurah Rai Airport by comparing the Double Exponential …

[PDF][PDF] Comparative Analysis of Chen and Singh's Fuzzy Time Series Method on Trend Revenue Forecasting Data

KJ Atmaja, IGB Indrajaya, KY Susana, IMS Sandhiyasa… - researchgate.net
CV. Global Bali Expert, a tourism-related organization and the focus of this investigation, has
applied revenue estimates from the preceding period as a benchmark for predicting future …