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Abstract
This study analyzes Indonesia’s monthly inflation rates from January 2020 to December 2024 using descriptive statistical methods, namely frequency distribution tables and histograms with trend lines. The results show that inflation during this five-year period predominantly remained within the low to moderate range of 1.00%–3.00%. The distribution is positively skewed, indicating that lower inflation values occurred more frequently, while higher inflation rates were relatively rare. The most frequent class interval was 1.00%–1.67%, accounting for 26.67% of the total observations, and nearly 70% of the data fell below 3.01%, reflecting relative price stability. However, temporary inflation spikes were observed between 2022 and early 2023, likely influenced by global supply chain disruptions and commodity price volatility. Overall, the findings suggest that Indonesia’s inflation remained largely controlled throughout the study period, highlighting the role of policy measures during and after the COVID-19 pandemic. This study demonstrates the effectiveness of simple descriptive statistical tools in identifying key characteristics and trends in macroeconomic data.
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References
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References
Ariyadi, R., Yunani, A., & Sopiana, Y. (2024). Pengaruh Pertumbuhan Ekonomi, Suku Bunga, Inflasi, dan Perpajakan terhadap Investasi di Indonesia: Analisis Periode 2003-2022. Ecoplan, 7(2), 108–119. https://doi.org/10.20527/ecoplan.v7i2.686
Ball, L., & Mazumder, S. (2019). A Phillips Curve with Anchored Expectations and Short‐Term Unemployment. Journal of Money, Credit and Banking, 51(1), 111–137. https://doi.org/10.1111/jmcb.12502
Bank Indonesia. (2024). Data Inflasi. https://hww.bi.go.id/id/statistik/indikator/data-inflasi.aspx.
Black, K. (2023). Business Statistics: For Contemporary Decision Making. John Wiley & Sons.
Blanchard, O. (2021). Macroeconomics (8th ed.). Pearson.
Bok, B., Caratelli, D., Giannone, D., Sbordone, A. M., & Tambalotti, A. (2018). Macroeconomic Nowcasting and Forecasting with Big Data. Annual Review of Economics, 10(1), 615–643. https://doi.org/10.1146/annurev-economics-080217-053214
Cabral, R., Carneiro, F. G., & Mollick, A. V. (2020). Inflation targeting and exchange rate volatility in emerging markets. Empirical Economics, 58(2), 605–626. https://doi.org/10.1007/s00181-018-1478-8
Chen, L., & Dobra, A. (2013). Histograms as statistical estimators for aggregate queries. Information Systems, 38(2), 213–230. https://doi.org/10.1016/j.is.2012.08.003
Danylyshyn, B., & Bohdan, I. (2022). Monetary policy during the wartime: How to ensure macroeconomic stability. Investment Management and Financial Innovations, 19(2), 344–359. https://doi.org/10.21511/imfi.19(2).2022.30
Ertl, M., Fortin, I., Hlouskova, J., Koch, S. P., Kunst, R. M., & Sögner, L. (2025). Inflation forecasting in turbulent times. Empirica, 52(1), 5–37. https://doi.org/10.1007/s10663-024-09633-z
Farhana, B. I., & Ramadhani, A. A. (2025). The Effect of Money Supply and Inflation on Banking Subsector Stock Prices During the 2020–2024 Period. EAJ (Economic and Accounting Journal), 8(3), 370–378. https://doi.org/10.32493/eaj.v8i3.y2025.p370-378
Feldkircher, M., & Siklos, P. L. (2019). Global inflation dynamics and inflation expectations. International Review of Economics & Finance, 64, 217–241. https://doi.org/10.1016/j.iref.2019.06.004
Gujarati, D. N. (2021). Essentials of Econometrics. Sage Publication.
Kolambe, M., & Arora, S. (2024). Forecasting the future: A comprehensive review of time series prediction techniques. Journal of Electrical Systems, 20(2s), 575–586.
Kunthi, Y. C., Mandai, S., & Sofyan, S. (2023). Analisis Pengaruh Inflasi, Indeks Harga Konsumen, Jub, Dan Kurs Terhadap Pertumbuhan Ekonomi Pada Tahun 2013 - 2021. Jurnal Ekonomi Trisakti, 3(1), 303–310. https://doi.org/10.25105/jet.v3i1.15409
Lavoie, M. (2024). Questioning profit inflation as an explanation of the post-pandemic inflation. European Journal of Economics and Economic Policies: Intervention, 21(2), 232–247. https://doi.org/10.4337/ejeep.2024.0139
Lubis, Z. (2021). Statistika terapan untuk ilmu-ilmu sosial dan ekonomi. Penerbit Andi.
Mishra, P., Pandey, C., Singh, U., Keshri, A., & Sabaretnam, M. (2019). Selection of appropriate statistical methods for data analysis. Annals of Cardiac Anaesthesia, 22(3), 297. https://doi.org/10.4103/aca.ACA_248_18
Peren, F. W. (2021). Statistics for Business and Economics. Springer.
Ross, S. M. (2020). Introduction to probability and statistics for engineers and scientists. Academic press.
Saibana, I., Noval, M., Aminah, S., Nafila, H., & Rosadi, M. (2024). Investasi, Inflasi dan Konsumsi: Pengaruhnya terhadap Pertumbuhan Ekonomi di Kalimantan Selatan. Ecoplan, 7(1), 1–14. https://doi.org/10.20527/ecoplan.v7i1.687
Sbert, M., Ancuti, C., Ancuti, C. O., Poch, J., Chen, S., & Vila, M. (2021). Histogram Ordering. IEEE Access, 9, 28785–28796. https://doi.org/10.1109/ACCESS.2021.3058577
Schultze, C. L. (2003). The Consumer Price Index: Conceptual Issues and Practical Suggestions. Journal of Economic Perspectives, 17(1), 3–22. https://doi.org/10.1257/089533003321164921
Susanto, S. (2017). Pengaruh inflasi, tingkat suku bunga, dan nilai tukar terhadap pertumbuhan ekonomi Indonesia. JEBI: Jurnal Ekonomi Bisnis Indonesia, 12(1), 52–68.
Taylor, L. (2020). Macroeconomic Inequality from Reagan to Trump. In Macroeconomic Inequality from Reagan to Trump. Cambridge University Press. https://doi.org/10.1017/9781108854443.001
Wananda, T. T., Sari, D. E., Kusuma, N. F., & Widodo, E. (2023). Analisis Perbandingan Tingkat Inflasi di Indonesia Sebelum dan Pada Saat Pandemi Covid-19. Journal of Mathematics Education and Science, 6(1), 61–66. https://doi.org/10.32665/james.v6i1.1339
Whitaker, D., & Jacobbe, T. (2017). Students’ Understanding of Bar Graphs and Histograms: Results From the LOCUS Assessments. Journal of Statistics Education, 25(2), 90–102. https://doi.org/10.1080/10691898.2017.1321974
Widyawati, W., Yuniarti, D., & Goejantoro, R. (2021). Analisis Distribusi Frekuensi dan Periode Ulang Hujan. EKSPONENSIAL, 11(1), 65. https://doi.org/10.30872/eksponensial.v11i1.646
