Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 10, 2025International Journal of Mathematics Statistics and Computing

Prediction of The Electricity Capacity Ready to Sell in DKI Jakarta Using Holt's Linear Exponential Smoothing and Arima Methods

View Full Paper
Ask AI
Bookmark
Share

Authors

DADhela Asafiani AgathaWWWiwik WiyantiSurya University

Discussion

Loading...

Member takes

Implication

Quantitative analysis predicts electricity capacity in DKI Jakarta, suggesting ARIMA offers superior accuracy.

Key Points

  • ARIMA(3,1,1) achieved the lowest error accuracy level at 3.124%, outperforming Holt's method.
  • The study utilized 36 monthly data points from January 2020 to December 2022 for the analysis.
  • Holt's linear exponential smoothing reported a MAPE value of 3.18%, indicating good predictive accuracy.
  • Forecast results indicated electricity capacities of approximately 3.14 billion kWh for early 2023 projections.

Cite This Study

Agatha et al. (2025) studied this question.

synapsesocial.com/papers/68c1aad354b1d3bfb60e39fehttps://doi.org/10.46336/ijmsc.v3i3.209
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Forecasting Jakarta Islamic Index Stock Prices: A Comparative Study of ARIMA and Holt’s Double Exponential Smoothing2025
  2. 2Forecasting Electrical Energy Loads at PT Krakatau Daya Electric Using the Linear Regression Method2024
  3. 3Mode-Dependent Performance of ARIMA, SARIMA, Holt-Winters, and Prophet in Electricity Load Forecasting: A Held-Out Comparison in Jordan2026
  4. 4An Analysis of Electric Vehicle Sales Forecasting in Indonesia: A Quantitative Approach to Operational Planning2025
  5. 5Application of the Autoregressive Integrated Moving Average (ARIMA) Model for Forecasting Indonesia's Non-Oil and Gas Export Values2026