Forecasting the Consumer Confidence Index for Economic Conditions Prediction in Ambon, Indonesia

Albertus Eka Putra Haryanto, Destri Susilaningrum, Indra Nur Fauzi

Abstract


Economic developments in Maluku Province show positive growth. However, this is not accompanied by an increase in the confidence index from consumers. It was recorded that from July to September 2022, there was a decrease in the Consumer Confidence Index of around 7.6% to 8.2%. The value of the Consumer Confidence Index can be forecasted using time series analysis. Time series analysis is a method intended to make an estimation and forecasting for the future. Some methods that can be used in forecasting in this study are naive, moving average, single exponential smoothing, double exponential smoothing, and time series regression. This method can be used to forecast the value of the Consumer Confidence Index in Ambon City after the Covid-19 pandemic. It can be concluded from the analysis results that the best model for forecasting the condition of the consumer confidence index value is the Double Exponential Smoothing method with a combination of Alpha = 0,4 and Gamma = 0,5, The forecast results showed a decrease in the value of the consumer confidence index, although the index still showed a relatively optimistic value.

Keywords


Consumer Confidence Index, Double Exponential Smoothing, Forecasting, Time Series Regression

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References


Kemenkeu, “Perekonomian Indonesia Tumbuh Optimis pada Kuartal II 2022,” 2022. [Online]. Retrieved from Kementerian Keuangan Republik Indonesia: https://www.kemenkeu.go.id/informasipublik/publikasi/berita-utama/Perekonomian-Indonesia-Tumbuh-Optimis (accessed Sep. 23, 2022).

B. Indonesia, “Laporan Survei Konsumen Oktober 2022”, 2022. [Online]. Retrieved from Bank Indonesia: https://www.bi.go.id/id/publikasi/laporan/Documents/SK-Oktober-2022.pdf (accessed Nov. 08, 2022).

S. Celik, E. Aslanoglu, and S. Uzun, “Determinants of Consumer Confidence in Emerging Economies: A Panel Cointegration Analysis”, Top. Middle East. North African Econ., vol. 12, pp. 1-19, 2010.30

G. Katona, “A Communication: Consumer Durable Spending”, Brookings Papers on Economic Activity, pp. 234-239, 1971.

T. U. Islam and M. N. Mumtaz, “Consumer Confidence Index and Economic Growth: An Empirical Analysis of EU Countries”, EuroEconomica, vol. 35, no. 2, 2016.

B. Indonesia, “Metadata Indeks Keyakinan Konsumen (Survei Konsumen)”, 2016. [Online]. Retrieved from Bank Indonesia: https://www.bi.go.id/id/statistik/Metadata/Survei/Documents/1-Metadata-SK-2016.pdf (accessed Nov. 08, 2022).

S. Makridakis, S. Wheelwright, and V. McGee,“Metode dan Aplikasi Peramalan Jilid 1 Edisi Kedua”, Jakarta: Penerbit Erlangga, 1999.

N. A. Sudibyo, A. Iswardani, A. W. Septyanto, and T. G. Wicaksono,“Prediksi Inflasi di Indonesia Menggunakan Metode Moving Average, Single Exponential Smoothing dan Double Exponential Smoothing”. Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika, 1, pp. 123-129. doi:10.46306/lb.v1i2, 2020.

Setiawan and D. E. Kusrini, “Ekonometrika”, Yogyakarta: Andi Offset, 2010.

D. C. Montgomery, “Introduction to Linear”, Arizona: John Wiley & Sons, 2016.

Ghozali, “Aplikasi Analisis Multivariate dengan Program SPSS”, Semarang: Badan Penerbit Universitas Diponegoro, 2006.

H. Huijian, L. Zhiming, and L. Zongwei,“Using Machine Learning Methods to Predict Consumer Confidence from Search Engine Data”, Sustainability, 15, 3100, https://doi.org/10.3390/su15043100, 2003.

B. Indonesia, “Laporan Perekonomian Provinsi Maluku Mei 2022”. [Online]. Retrieved from Bank Indonesia: https://www.bi.go.id/id/publikasi/laporan/lpp/Pages/Laporan-Perekonomian-Provinsi-Maluku-Mei-2022.aspx. (accessed Nov. 08, 2022).




DOI: http://dx.doi.org/10.12962/j23378557.v9i2.a16132

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