Analysis of Inflation Rates During and After the COVID-19 Pandemic Using the K-Means Clustering Method and Kruskal-Wallis Test
DOI:
https://doi.org/10.14421/fourier.2025.142.56-67Keywords:
Inflation, K-Means Clustering, Kruskal-WallisAbstract
Inflation occurs when excessive demand results in an overall increase in the prices of goods and services. During the COVID-19 pandemic, the inflation rate in Indonesia leveled off due to the weakening economy. However, in 2022, there was a spike in post-COVID-19 inflation due to increased public demand as pandemic conditions improved. Stable inflation is a requirement for sustainable economic growth and improving people's welfare. In handling inflation problems in various regions, variables and unique circumstances in each region are very important. This research aims to determine whether significant differences exist in the clustering of inflation rates in Indonesia during and after the COVID-19 pandemic. The research results using the Kruskal-Wallis test and the K-Means method obtained that the clustering of inflation rates with k=2 provides good results, as indicated by the Silhouette Coefficient value of 0.66. In addition, there is a significant difference between the current (2020-2021) and post (2022-2023) years of COVID-19 as evidenced by the Kruskal-Wallis test with a p-value < 0.05.
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References
A. Salim and Fadilla, "Pengaruh Inflasi Terhadap Pertumbuhan Ekonomi Indonesia Anggun Purnamasari," Ekon. Sharia J. Pemikir. dan Pengemb. Ekon. Syariah, vol. 7, no. 1, pp. 17-28, 2021, doi: https://doi.org/10.36908/esha.v7i1.268.
E. Y. HERRERA VILLANUEVA, "Analisis Dampak Covid-19 Terhadap Tingkat Inflasi Di Indonesia," vol. 2017, no. 1, pp. 1-9, 2020.
Y. Prayoga, H. S. Tambunan, and I. Parlina, "Penerapan Clustering Pada Laju Inflasi Kota Di Indonesia Dengan Algoritma K-Means," BRAHMANA J. Penerapan Kecerdasan Buatan, vol. 1, no. 1, pp. 24-30, 2019, doi: 10.30645/brahmana.v1i1.4.
M. Al Ikhsan, "Studi Literasi Pengendalian Inflasi menggunakan Inflassion Targeting Framework (ITF) dalam mengendalikan Tingkat Inflasi di Indonesia," J. Econ. View, vol. 1, no. 1, pp. 1-8, 2020.
R. Pratiwi, W. A. A. Daulay, and C. Chairina, "Studi Literatur Peran Bank Indonesia Terhadap Stabilitas Keuangan," J. Ekon. Dan Bisnis, vol. 2, no. 3, pp. 748-753, 2022, doi: 10.47233/jebs.v2i3.261.
B. Martanto, S. Tan, and M. Syurya Hidayat, "Analisis tingkat inflasi di Indonesia Tahun 1998-2020 (pendekatan error correction model)," J. Paradig. Ekon., vol. 16, no. 3, pp. 619-632, 2021, doi: 10.22437/jpe.v16i3.14360.
R. Anggraini and D. A. Putri, "Kajian Kritis Ekonomi Syariah Dalam Menelisik Kebijakan Moneter Sebagai Upaya Penyelamatan Perekonomian Ditengah Pandemi Covid-19," J. BONANZA Manaj. dan Bisnis, vol. 1, no. 2, pp. 80-97, 2020, doi: 10.47896/mb.v1i2.295.
K. Amri, "PENGARUH YIELD RATE DAN INFLASI TERHADAP RISIKO PEMBIAYAAN MUDHARABAH : PERAN PANDEMI COVID-19 SEBAGAI PEMODERASI EFFECT OF YIELD RATE AND INFLATION ON RISK OF MUDHARABAH FINANCING : ROLE OF COVID-19 PANDEMIC," vol. 31, no. 2, pp. 215-240, 2023, doi: 10.55981/jep.
P. Afton and U. Ukas, "Analisis Yuridis Dampak Inflasi Terhadap Pekerja Berdasarkan Undang-Undang Ketenagakerjaan," Sci. J. J. Ilm. Mhs., vol. 5, no. 4, 2023, doi: 10.33884/scientiajournal.v5i4.7855.
T. R. Roziah, R. Septiani, E. V Amapoli, and R. Muhammad, "Inflasi Di Indonesia: Perkembangan Dan Pengendaliannya," J. Ilm. Multidisiplin, vol. 1, no. 10, pp. 3430-3436, 2022.
D. Rahmayani, S. Oktavilia, and P. I. Putri, "The Impact of Covid-19 Pandemic on Inflation in Indonesia," J. Ekon. Pembang. Kaji. Masal. Ekon. dan Pembang., vol. 22, no. 2, pp. 117-128, 2021, doi: 10.23917/jep.v22i2.13861.
F. Rozi, Irma, and D. Maulidiya, "Analisis perubahan inflasi beberapa kota besar di indonesia dengan menggunakan uji kruskal-wallis," Multi Prox. J. Stat. Univ. Jambi, vol. 1, no. 2, pp. 103-115, 2022.
Y. Dwi and J. P. K. Pasaribu, "Pengaruh Inflasi Terhadap Pertumbuhan Ekonomi di Indonesia Periode 2013-2021," J. Ilm. Manaj. dan Kewirausahaan, vol. 2, no. 1, pp. 131-137, 2023, doi: 10.33998/jumanage.2023.2.1.673.
A. Zulhijah and N. Suarna, "Penerapan Clustering Nilai Inflasi Berdasarkan Kelompok Pengeluaran Menggunakan Algoritma K-Means di Jawa Barat," Jtmei), vol. 2, no. 1, pp. 81-94, 2023.
L. P. Sari, A. Fanani, and A. H. Asyhar, "Analisis Perbandingan Pengelompokan Kota di Indonesia Berdasarkan Indikator Inflasi Tahun 2021 dengan Metode Ward dan K-Means," J. Sains Mat. dan Stat., vol. 9, no. 2, p. 108, 2023, doi: 10.24014/jsms.v9i2.21100.
N. Etrisia, M. F. Alexandi, and A. Asmara, "Klasifikasi Inflasi 34 Ibukota Provinsi Di Indonesia Sebelum Dan Saat Covid-19 Melalui Pengelompokan Wilayah Dengan K-Means Clustering," J. Ekon. Pembang., vol. 12, no. 2, pp. 120-133, 2023, doi: 10.23960/jep.v12i2.1597.
S. D. K. Wardani, A. S. Ariyanto, M. Umroh, and D. Rolliawati, "Perbandingan Hasil Metode Clustering K-Means, Db Scanner & Hierarchical Untuk Analisa Segmentasi Pasar," JIKO (Jurnal Inform. dan Komputer), vol. 7, no. 2, p. 191, 2023, doi: 10.26798/jiko.v7i2.796.
M. Hafidz Meiditambua Saefulloh, M. Rizah Fahlevi, and S. Alfa Centauri, "Pengaruh Inflasi Terhadap Pertumbuhan Ekonomi: Perspektif Indonesia," J. Keuang. Negara dan Kebijak. Publik, vol. 3, no. 1, pp. 17-26, 2023.
W. Purba, P. Nainggolan, and P. D. Panjaitan, "Analisis Pengaruh Inflasi dan Pertumbuhan Ekonomi Terhadap Pengangguran di Provinsi Sumatera Utara," J. Ekuilnomi, vol. 4, no. 1, pp. 62-74, 2022, doi: 10.36985/ekuilnomi.v4i1.336.
R. A. Romadhan, S. P. Aghliyah, and R. Aurelia, "Buletin Ekonomika Pembangunan Pemikiran Al-Maqrizi dan Keynesian Tentang Teori Perbandingan Inflasi Dalam Perspektif Islam dan Konvensional Buletin Ekonomika Pembangunan," Bul. Ekon. Pembang., vol. 5, no. 2, pp. 204-214, 2024.
O. Helbawanti, W. A. Saputro, and A. N. Ulfa, "Pengaruh Harga Bahan Pangan Terhadap Inflasi Di Indonesia," AGRISAINTIFIKA J. Ilmu-Ilmu Pertan., vol. 5, no. 2, p. 107, 2021, doi: 10.32585/ags.v5i2.1859.
I. Tanca, B. Arif, S. Wati, M. Gunanto, and A. Ardiansyah, "ANALISIS FAKTOR YANG MEMPENGARUHI INFLASI DI PROVINSI LAMPUNG PADA TAHUN 2021-2023 ANALYSIS OF FACTORS AFFECTING INFLATION IN LAMPUNG PROVINCE IN 2021-2023," JICN, vol. 1, no. November, pp. 8654-8662, 2024.
A. Rizani, R. A. Norrahman, I. Harsono, A. S. Yahya, and D. M. Syifa, "Efek Inflasi terhadap Daya Beli Masyarakat pada Tinjauan Ekonomi Makro," J. Int. Multidiscip. Res., vol. 1, no. 2, pp. 344-358, 2023.
S. A. Alhabibah, M. Hafiyusholeh, and N. Ulinnuha, "PENGELOMPOKKAN PELANGGAN PDAM SURYA SEMBADA KOTA SURABAYA MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING," vol. 04, no. 02, pp. 101-107, 2023.
G. E. I. Kambey, R. Sengkey, and A. Jacobus, "Penerapan Clustering pada Aplikasi Pendeteksi Kemiripan Dokumen Teks Bahasa Indonesia," J. Tek. Inform., vol. 15, no. 2, pp. 75-82, 2020.
R. Maliki, K. Falgenti, S. Priani, F. Fithri, M. Suherman, and D. S. Nugraha, "Perbandingan Tingkat Pengangguran Terbuka Provinsi di Indonesia Berbasis Metode K-Means Clustering," Comput. Sci., vol. 2, no. 2, pp. 109-116, 2022.
A. Fitriani, E. Arfi, and A. Huda, "Penerapan Algoritma K-Means Clustering dalam Memetakan Produktivitas Lokasi Perkebunan Nanas PT Great Giant Pineapple," vol. 7, no. 2, pp. 215-231, 2024, doi: 10.35580/jmathcos.v7i2.4200.
A. Rajsya and A. Rachman, "Rancang Bangun Penerapan Metode Elbow Pada K-Means Untuk Clustering Data Persediaan Barang," vol. 1, no. 4, pp. 395-403, 2024, doi: 10.33096/linier.v1i4.2539.
A. Rafika, H. Putri, and N. Wakhidah, "Optimization of K-Means Clusteting with Elbow Method for Identification of TB Prone in Central Java," vol. 6, no. 1, pp. 730-736, 2025, doi: 10.30596/jcositte.v6i1.21669.
R. Y. Riyanto, V. C. Mawardi, and N. J. Perdana, "Clustering Berita Sepak Bola Dengan Metode K-Means," J. Ilmu Komput. dan Sist. Inf., vol. 11, no. 1, 2023, doi: 10.24912/jiksi.v11i1.24072.
R. Hidayati, A. Zubair, A. H. Pratama, and L. Indana, "Analisis Silhouette Coefficient pada 6 Perhitungan Jarak K-Means Clustering," Techno.Com, vol. 20, no. 2, pp. 186-197, 2021, doi: 10.33633/tc.v20i2.4556.
R. A. Farissa, R. Mayasari, and Y. Umaidah, "Perbandingan Algoritma K-Means dan K-Medoids Untuk Pengelompokkan Data Obat dengan Silhouette Coefficient di Puskesmas Karangsambung," J. Appl. Informatics Comput., vol. 5, no. 2, pp. 109-116, 2021, doi: 10.30871/jaic.v5i1.3237.
P. Mishra, C. M. Pandey, U. Singh, A. Gupta, C. Sahu, and A. Keshri, "Descriptive statistics and normality tests for statistical data," Ann. Card. Anaesth., vol. 22, no. 1, pp. 67-72, 2019, doi: 10.4103/aca.ACA_157_18.
D. R. Nur'aini, "Pengaruh Pendekatan Realistic Mathematics Education (RME) Terhadap Kemampuan Pemecahan Masalah Siswa Kelas V SD," PEDADIDAKTIKA J. Ilm. Pendidik. Guru Sekol. Dasar, vol. 7, no. 4, pp. 50-58, 2020, doi: 10.17509/pedadidaktika.v7i4.26356.
A. Quraisy, Wahyuddin, and N. Hasni, "Analisis Kruskal-Wallis Terhadap Kemampuan Numerik Siswa," VARIANSI J. Stat. Its Appl. Teach. Res., vol. 3, no. 3, pp. 156-161, 2021, doi: 10.35580/variansiunm29957.
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