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INDONESIA
Jurnal Matematika Sains dan Teknologi
Published by Universitas Terbuka
ISSN : 14111934     EISSN : 24429147     DOI : -
Core Subject : Education, Agriculture,
Agriculture, Biological Sciences & Forestry Mathematics Other
Merupakan media informasi dan komunikasi para praktisi, peneliti, dan akademisi yang berkecimpung dan menaruh minat serta perhatian pada pengembangan Matematika, ilmu pengetahuan dan teknologi. Diterbitkan oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Terbuka.
Arjuna Subject : -
Articles 2 Documents
 1 
Search results for , issue "Vol. 25 No. 2 (2024): September (in Progress)" : 2 Documents clear
Analysis of the Impact of Energy Consumption and Economic Performance on Carbon Dioxide Emissions in Indonesia Using Error Correction Mechanism Abigail Brenda Padhang Pasorong Randa; Arlita Dwina Firlana Sari; Emily Azizaida Budikusuma; Yuniar Yudhi Tirana; Nasrudin Nasrudin
Jurnal Matematika Sains dan Teknologi Vol. 25 No. 2 (2024): September (in Progress)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v25i2.6879.2024

Abstract

Lately, Indonesia has been intensively developing its domestic economy. Industrial development began to be started, which attracted investors to invest. However, this massive economic development is causing an increase in CO2 emissions. This study intends to capture the effects of primary energy consumption per capita and economic performance represented by Gross Domestic Product (GDP), Foreign Direct Investment (FDI), and International Trade Openness on CO2 emissions in Indonesia from 1990–2022, in the short-run and long-run, using Error Correction Mechanisms (ECMs) analysis. In the long-run, energy consumption and GDP significantly affect CO2 emissions in Indonesia. Meanwhile, in the short-run, only energy consumption and Error Correction Term (ECT) have a significant effect on CO2 emissions. Moreover, from the ECT coefficient, it is known that the speed of adjustment to return to equilibrium is 95.08% in the first year after the shock.
Application of teh Hybrid Singular Spectrum Analysis – ARIMA Model for Indonesia's Inflation Rate (2018-2023) Sri Rahayu; Aswi Aswi; Muhammad Fahmuddin Sudding
Jurnal Matematika Sains dan Teknologi Vol. 25 No. 2 (2024): September (in Progress)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v25i2.7982.2024

Abstract

This research aims to determine the results and accuracy of forecasting inflation rates in Indonesia using Hybrid Singular Spectrum Analysis (SSA) – Autoregressive Integrated Moving Average (ARIMA). Hybrid SSA-ARIMA combines two time series methods to increase forecasting accuracy, especially for economic data that contains trend and seasonal components. The data used is data on the national consumer price inflation rate (Y-on-Y) for the period January 2018 to December 2023. The forecast accuracy obtained by the MAPE value for Singular Spectrum Analysis was 56.26797%, and Hybrid SSA-ARIMA was 18.88851%. This shows that Hybrid SSA-ARIMA has better forecasting capabilities than Singular Spectrum Analysis in predicting the inflation rate in Indonesia.

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