Filter by
ANALISIS PERFORMA HOLT-WINTERS DAN SARIMA DALAM PERAMALAN MULTIVARIABEL IKLIM…
This study aims to analyze and compare the performance of two conventional time series forecasting models, Holt–Winters and Seasonal Autoregressive Integrated Moving Average (SARIMA), in predicting monthly climate variables in Semarang City, including air temperature, rainfall, and humidity. A head-to-head multivariable comparison was conducted within a single experimental framework in a trop…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- xi, 106 hlm.; tab.; 29 cm
- Series Title
- -
- Call Number
- T1942722026
PERBANDINGAN METODE ARIMA, SARIMA, DAN LSTM DALAM MEMPREDIKSI HARGA BAWANG ME…
Shallots are a food commodity that often experiences price fluctuations and is one of the contributors to inflation in the city of Palembang. This study compares the ARIMA, SARIMA, and LSTM methods for predicting shallot prices using daily data from January 2020 to October 2025. The research stages include data collection, preprocessing, visualization and decomposition, division of training and…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- 92 hlm.; ilus.; tab.; 29 cm.
- Series Title
- -
- Call Number
- T1942892026
PERBANDINGAN ANALISIS PERAMALAN ARIMA, SARIMA DAN EXPONENTIAL SMOOTHING HOLT-…
This study compares the accuracy of ARIMA, SARIMA, and Exponential Smoothing Holt-Winters models in forecasting coal prices. Coal prices that change over time require price forecasting to support decision making. Therefore, this study forecasts coal prices through ARIMA, SARIMA and Exponential Smoothing Holt-Winters to obtain the best method in forecasting coal prices from November 2024 to Octo…
- Edition
- -
- ISBN/ISSN
- -
- Collation
- ix, 74 hlm.; ilus.; 29 cm
- Series Title
- -
- Call Number
- T1597952024
Computer Science, Information & General Works 
Philosophy & Psychology 
Religion 
Social Sciences 
Language 
Pure Science 
Applied Sciences 
Art & Recreation 
Literature 
History & Geography