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Comparison of Sarima and Exponential Smoothing Methods in Forecasting Exchange Rates for Farmers in Central Java Province

Journal of Applied Informatics and Computing
This study compares the performance of the SARIMA and Exponential Smoothing (Holt-Winters) models in forecasting the Farmer Exchange Rate (NTP) for Central Java Province from 2016 to 2025.
MY Teguh Sulistyono, Muhammad Naufal Annabil +1 more
doaj +1 more source

Application of SARIMA, GRU, and Prophet for Capturing Seasonal Patterns in Consumer Price Inflation

Journal of Applied Informatics and Computing
Seasonal dynamics make inflation forecasting challenging in emerging economies where holiday effects, regulated prices, and supply shocks interact. This study models Indonesia’s monthly consumer price inflation (CPI) using official data from Statistics ...
Laily Nissa Atul Mualifah
doaj +1 more source

Hybrid Rainfall Analysis in Semarang by Integrating SARIMA Predictions with Meteorological Association Rules

Journal of Applied Informatics and Computing
Climate variability necessitates advanced analytical approaches to understand irregular rainfall patterns, particularly in coastal cities like Semarang, Central Java.
Kristina Agustin, Ika Novita Dewi
doaj +1 more source

Comparison of Rainfall Prediction Results in South Bangka Regency Using Support Vector Regression and SARIMA

CoreID Journal
Rainfall is one of the key climate variables. It plays an important role in the hydrological cycle. In the field of agriculture, it is crucial as it determines the availability of water for crops, helping farmers manage water scarcity issues.
Pitra Wati +2 more
doaj +1 more source

Rice Planting Time Prediction Using SARIMA-MFEP Integration in Kubu Raya

Journal of Innovation Information Technology and Application
Extreme climate change has increased uncertainty in rice planting schedules, threatening food security in Kubu Raya Regency, West Kalimantan, and causing significant economic losses due to inaccurate seasonal predictions.
Sinta Rama Dani +2 more
doaj +1 more source

Residual-Based Hybrid SARIMA–LSTM for Bali Tourism Demand Forecasting Using Google Trends

Journal of Information Systems and Informatics
Accurate tourism demand forecasting is essential for destinations characterized by strong seasonality, nonlinear fluctuations, and post-pandemic recovery uncertainty.
Junaedi +3 more
doaj +1 more source

Best predictive SARIMA models for inpatients and Outpatients.

, 2015
Best predictive SARIMA models for inpatients and Outpatients.
Fan Wang (135182) +7 more
core +1 more source

Application of the SARIMA-LSTM model to evaluate the effectiveness of interventions for Visceral Leishmaniasis

Journal of Infection in Developing Countries
Introduction: This study proposes a combined Seasonal Autoregressive Integrated Moving Average and Long Short-Term Memory (SARIMA-LSTM) model to enhance the accuracy of evaluating the effectiveness of visceral leishmaniasis prevention and control ...
Mengchen Han +5 more
doaj +1 more source

Results of parameter estimation for the SARIMA models.

, 2019
Results of parameter estimation for the SARIMA models.
Abolfazl Mohammadzadeh Moghaddam (6686228) +2 more
core +1 more source

PERBANDINGAN MODEL HYBRID SARIMA-FTSMC, SARIMAX-FTSMC, SARIMA-FTS CHENG, DAN SARIMAX-FTS CHENG DALAM MEMODELKAN JUMLAH PENUMPANG PESAWAT DI BANDARA SOEKARNO-HATTA [PDF]

Pesawat udara merupakan moda transportasi yang paling efektif dan efisien karena dapat mengangkut barang dan manusia dengan waktu yang singkat, aman, dan biaya yang relatif terjangkau. Sejak awal terciptanya hingga saat ini pesawat udara masih menjadi
M. Pio, Hidayatullah
core +1 more source

lstm
arima
time series

machine learning
prediction
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