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All Journal Indonesian Journal of Applied Statistics MUST: Journal of Mathematics Education, Science and Technology
Firli Azizah
Universitas PGRI Adi Buana Surabaya
Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Mathematics

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Analisis Dampak Covid-19 Terhadap Indeks Harga Konsumen dengan K-Means dan Regresi Berganda Firli Azizah; Muhammad Athoillah
Indonesian Journal of Applied Statistics Vol 4, No 1 (2021)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v4i1.46329

Abstract

The Indonesian economy during the global pandemic entered the brink of economic recession. This problem occurs because the state of public consumption has decreased due to the limited space for community movement and sluggish economic activities due to preventing the transmission of Covid-19. This affects the decline in public consumption in economic activities. In this case, it can be seen from the statistical news published by the official website of the Badan Pusat Statistik (BPS) which reports that the inflation rate in the previous months was around 0.10%, while in April 2020 it decreased by 0.08%. Based on these, a K-means grouping study was conducted by dividing the cluster into 3 parts and modeling using multiple regression methods. In this study, the variable used was the price index. The results of the K-means cluster analysis with the division of 3 clusters, namely cluster 3 (high CPI cluster) consisting of 66 cities, cluster 1 (moderate CPI cluster) consisting of 2 cities, and cluster 2 (low CPI cluster) consisting of 22 cities. Furthermore, the multiple regression results obtained 12 variables that have a significant effect on the Consumer Price Index (CPI). The results of regression modeling are the highest coefficient is food at 0.236 and the lowest coefficients are cigarettes and tobacco at 0.008. Therefore can be concluded that the grouping of the CPI indicator obtained 75% of cities with high index prices, especially in big cities such that economic activity, in general, was still consumptive during the pandemic and multiple regression modeling resulted from 37 indicator variables, only 12 indicator variables had a significant effect on the CPI.Keywords: k-means, CPI, multiple regression, and price index
Analisis Education Mapping Terkait Pengelompokkan Kesenjangan Pembangunan Pendidikan Menurut Provinsi di Indonesia Firli Azizah; Wara Pramesti; Fenny Fitriani
MUST: Journal of Mathematics Education, Science and Technology Vol 7 No 2 (2022): DECEMBER
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/must.v7i2.11097

Abstract

Pendidikan merupakan salah satu faktor kemajuan suatu negara. Namun, kesenjangan pendidikan merupakan salah satu masalah yang terjadi di Indonesia. Masalah ini perlu dikaji lebih dalam berdasarkan gencarnya peningkatan pendidikan di Indonesia oleh pemerintah, khususnya dalam pencapaian program merdeka belajar. Kualitas pendidikan di suatu daerah diukur dengan menggunakan Indeks Pendidikan (IPP). Regresi berganda dan K-Means merupakan dua metode yang dapat digunakan untuk menentukan faktor-faktor yang berpengaruh signifikan terhadap IPP dan mengelompokkan IPP berdasarkan variabel-variabel yang berpengaruh signifikan. Data yang digunakan dalam penelitian ini diperoleh dari Badan Pusat Statistik Indonesia. Hasil analisis menyimpulkan bahwa, variabel yang mempengaruhi IPP adalah variabel tingkat melek huruf, persentase penduduk miskin, persentase guru SMA yang memenuhi syarat, persentase siswa usia 5-24 tahun yang menggunakan komputer selama 3 bulan terakhir. menurut provinsi, persentase siswa berusia 5-24 tahun yang mengakses internet selama 3 bulan terakhir menurut provinsi, dan tingkat kelulusan sekolah menurut provinsi dan tingkat sekolah menengah pertama. Kelompok tinggi memiliki proporsi 20,5%, kelompok sedang memiliki proporsi 70% dan kelompok rendah memiliki proporsi 5% sehingga perlu dilakukan upaya lebih lanjut untuk pemerataan pembangunan pendidikan khususnya di Indonesia bagian timur yang masih memiliki IPP yang rendah.
Co-Authors Fitriani, Fenny Muhammad Athoillah, Muhammad Wara Pramesti