Published: 2025-01-01
Peramalan Inflasi di Indonesia Pasca Pemilu 2024 dengan Metode Time Series Double Exponential Smoothing
DOI: 10.35870/emt.v9i1.3503
Khoirul Anwar, Rivaldo Kurniawan Iryanto, Rifqah Harahap, Asmah Sinuraya, Musran Munizu
- Khoirul Anwar: ITB Yadika Pasuruan , Affiliation name not available , Indonesia
- Rivaldo Kurniawan Iryanto: STIE Dharmaputra Semarang , Affiliation name not available , Indonesia
- Rifqah Harahap: STIE IBMI Medan , Affiliation name not available , Indonesia
- Asmah Sinuraya: Universitas Tama Jagakarsa , Indonesia .
- Musran Munizu: Universitas Hasanudin , Affiliation name not available , Indonesia
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Abstract
Inflation is an increase in the prices of goods and services in a certain period whose growth is sought to remain low and stable for the sake of society's welfare. The aim of this research is to predict or predict the rate of inflation which will contribute to Indonesia economic uncertainty after the 2024 General Election. The data used in this research is secondary data obtained from the Bank Indonesia website. This research uses Indonesian monthly inflation data from 2015 to 2024. The data is analyzed using the Double Exponential Smoothing method. The results of the analysis showed that descriptive analysis of Indonesian inflation from 2015 fluctuated and continued to decline until in 2021 it reached 1.67% and increased in 2022 reaching 5.51% and continued to decline in the following year. Forecasting results using the Double Exponential Smoothing method continue to decline for December 2024 to April 2025 with a MAD error value of 0.3202. Inflation forecasting in Indonesia is expected to support interested parties in making policies to maintain country stability and control economic uncertainty after the election.
Keywords
Inflation ; Forecasting ; Double Exponential Smoothing
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This article has been peer-reviewed and published in the Jurnal EMT KITA. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 9 No. 1 (2025)
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Section: Articles
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Published: %750 %e, %2025
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/emt.v9i1.3503
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Khoirul Anwar
Program Studi Hukum dan Bisnis, ITB Yadika Pasuruan, Kabupaten Pasuruan, Provinsi Jawa Timur, Indonesia.
Rivaldo Kurniawan Iryanto
Program Studi Akuntansi, STIE Dharmaputra Semarang, Kota Semarang, Provinsi Jawa Tengah, Indonesia.
Rifqah Harahap
Program Studi Manajemen, STIE IBMI Medan, Kota Medan, Provinsi Sumatera Utara, Indonesia.
Asmah Sinuraya
Program Studi Manajemen, Universitas Tama Jagakarsa, Kota Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia.
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Pratiwi, W. A., & Marizal, M. (2022). Penerapan Metode Eksponential Smoothing Dalam Memprediksi Hasil Pencapaian Kinerja Pelayanan Perangkat Daerah Dinas Pendidikan Provinsi Riau. Indonesian Council of Premier Statistical Science, 1(1), 4-14. https://doi.org/10.24014/icopss.v1i1.18934.
-
-
Rachmawati, A. K. (2021). Peramalan Penyebaran Jumlah Kasus Covid19 Provinsi Jawa Tengah dengan Metode ARIMA. Zeta-Math Journal, 6(1), 11-16. https://doi.org/10.31102/zeta.2021.6.1.11-16.
-
Ramdhani, H. (2024). Pengaruh Inflasi, Nilai Tukar, dan Suku Bunga Terhadap Indeks Demokrasi Indonesia pada Tahun 2009—2020. Entita: Jurnal Pendidikan Ilmu Pengetahuan Sosial dan Ilmu-Ilmu Sosial, 6(1), 33-46. https://doi.org/10.19105/ejpis.v6i1.12540.
-
Riyono, J., Pujiastuti, C. E., & Putri, A. L. R. (2022). Forecasting Laju Inflasi Indonesia Menggunakan Rantai Markov. Jurnal Sains Matematika dan Statistika, 8(1), 1-10. https://doi.org/10.24014/jsms.v8i1.14767.
-
-
Santoso, R., Fuadah, A., Iryanto, R. K., Aini, N., & Sahara, S. (2023). Pengaruh Ongkos Kirim dan Harga terhadap Perilaku Konsumen dalam Melakukan Pembelian Ulang pada Marketplace Shopee. Jurnal Simki Economic, 6(1), 257-268. https://doi.org/10.29407/jse.v6i1.349.
-
Sari, D. R. P. (2022). Penerapan Metode Double Exponential Smoothing Pada Data Inflasi Bulanan Tahun 2021. Jurnal MSA (Matematika Dan Statistika Serta Aplikasinya), 10(2), 26-31. https://doi.org/10.24252/msa.v10i2.27272.
-
Sari, N. R., Mahmudy, W. F., & Wibawa, A. P. (2017). Mengukur Performa Model TSK Fuzzy Logic Menggunakan Faktor Eksternal untuk Peramalan Laju Inflasi. MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology), 9(1), 27-32. https://doi.org/10.18860/mat.v9i1.3932.
-
Setiawan, D. A., Wahyuningsih, S., & Goejantoro, R. (2020). Peramalan produksi kelapa sawit menggunakan Winter's dan Pegel's exponential smoothing dengan pemantauan tracking signal. Jambura Journal of Mathematics, 2(1), 1-14. https://doi.org/10.34312/jjom.v2i1.2320.
-
Simon, F. (2023). Faktor-faktor yang mempengaruhi inflasi di indonesia (studi pada masa pandemi covid-19). Scientific Journal Of Reflection: Economic, Accounting, Management and Business, 6(1), 125-132. https://doi.org/10.37481/sjr.v6i1.626.
-
Suprajang, S. E., Prasetyorini, E., & Murdinar, H. E. (2024). Analisis Pengaruh Tahun Politik terhadap Daya Beli: Tinjauan Manajemen Risiko. Akuntabilitas: Jurnal Ilmiah Ilmu-Ilmu Ekonomi, 16(1), 51-67. https://doi.org/10.35457/akuntabilitas.v16i1.3546.
-
-
-
Yusuf, F. I., & Anjasari, D. H. (2018). Metode Triple Exponential Smoothing Holt-Winters untuk Peramalan Jumlah Wisatawan Nusantara di Kabupaten Banyuwangi. UJMC (Unisda Journal of Mathematics and Computer Science), 4(2), 1-6. https://doi.org/10.52166/ujmc.v4i2.1107.
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