Prediksi Emisi CO2 dengan Analisis Runtun Waktu

Authors

  • Primadina Hasanah Institut Teknologi Kalimantan
  • Irma Fitria Institut Teknologi Kalimantan

DOI:

https://doi.org/10.35718/specta.v1i1.72

Abstract

Global warming is caused by various factors, one of them is the emission of CO2. Time series data of CO2 emission will be analyzed using moving average and exponential smoothing to forecast the CO2 emission of the period ahead. Both models provide estimates of forecasting based on the average value of the previous data and can be used for forecasting time series data containing trend component. The best models are selected based on the smallest error value based on the criteria of MAPE, MSD, and MAD

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Published

2019-11-27

How to Cite

Hasanah, P., & Fitria, I. (2019). Prediksi Emisi CO2 dengan Analisis Runtun Waktu. SPECTA Journal of Technology, 1(1), 22–16. https://doi.org/10.35718/specta.v1i1.72

Issue

Vol. 1 No. 1 (2017): SPECTA Journal of Technology

Section

Articles

License

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NoDerivs 4.0 Generic(CC BY-ND 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.