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All Journal Jurnal Anugerah: Jurnal Pengabdian Kepada Masyarakat Bidang Keguruan dan Ilmu Pendidikan Room of Civil Society Development Journal of Applied Statistics, Mathematics, and Data Science
Mayapada, Retno
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Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Journal of Applied Statistics, Mathematics, and Data Science

 1 
EKSPLORASI JENIS KURIKULUM PENDIDIKAN BERDASARKAN LITERASI MATEMATIKA PELAJAR INDONESIA MELALUI ANALISIS CLUSTER Mayapada, Retno; Rahayu, Putri Indi; Muzakir, Nurul Azizah
ESTIMATOR : Journal of Applied Statistics, Mathematics, and Data Science Vol. 2 No. 2 (2024):
Publisher : Program Studi Statistika Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/estimator.v2i2.2140

Abstract

Literasi matematika merupakan kemampuan seseorang untuk merumuskan, menggunakan, dan menafsirkan matematika dalam berbagai konteks. Penurunan skor literasi matematika pada studi Programme for International Student Assessment (PISA) tahun 2022 menegaskan perlunya eksplorasi peran kurikulum pendidikan dalam membentuk kemampuan tersebut. Penelitian ini bertujuan untuk mengelompokkan jenis kurikulum pendidikan berdasarkan kemampuan literasi matematika pelajar Indonesia yang diukur melalui nilai PISA menggunakan metode analisis clustering. Analisis clustering dilakukan dengan metode average linkage, Ward’s method, centroid, dan McQuitty. Berdasarkan nilai koefisien korelasi Cophenetic, metode average linkage dipilih sebagai metode terbaik. Hasilnya, cluster pertama terdiri dari KBK dan Kurikulum Merdeka dengan rata-rata nilai PISA matematika sebesar 363. Cluster kedua terdiri dari KTSP 2009, KTSP 2012, dan Revisi K-13 dengan rata-rata nilai PISA matematika sebesar 375. Cluster ketiga terdiri dari KTSP 2006 dan Kurikulum 2013 dengan rata-rata nilai PISA matematika sebesar 383. Hal ini menunjukkan bahwa KBK dan Kurikulum Merdeka memiliki karakteristik yang sama pada nilai PISA matematika siswa dan diantara ketiga cluster kurikulum yang diperoleh, cluster dari kedua kurikulum ini memiliki nilai PISA matematika terendah. Temuan ini dapat menjadi bahan evaluasi bagi pemerintah dalam merumuskan kurikulum pendidikan yang lebih efektif untuk meningkatkan kemampuan literasi matematika pelajar di Indonesia.
Tingkat Pengangguran Terbuka Periode Sebelum hingga Sesudah Pandemi Covid-19 dengan Pendekatan Non-Parametrik Mayapada, Retno; Fardinah
ESTIMATOR : Journal of Applied Statistics, Mathematics, and Data Science Vol. 2 No. 1 (2024)
Publisher : Program Studi Statistika Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/estimator.v2i1.1829

Abstract

The unemployment rate is one of the factors related to a country's economy. During the COVID-19 pandemic, there was a decline in economic growth in Indonesia which also had a negative impact on the labor market. The decreased mobility of people causes reduced economic activity and ultimately the number of poverty increases. This research compares the percentage of unemployment rates in Indonesia in the period before, during, and after the COVID-19 pandemic using a non-parametric approach because the data of unemployment rates in 2020 and 2021 are not normally distributed. The non-parametric tests used in this research are the Friedman test and the Nemenyi post-hoc test. Based on research conducted, it was found that there was a statistically significant difference (?=5%) between the percentage of unemployment rates during the COVID-19 pandemic and the period before and after the COVID-19 pandemic. Meanwhile, the difference between before and after COVID-19 occurred was not statistically significant (?=5%). However, the average unemployment rate in 2023 is the smallest that compared to previous years. This shows that the economy in Indonesia is slowly starting to improve after the COVID-19 pandemic.
Tingkat Pengangguran Terbuka Periode Sebelum hingga Sesudah Pandemi Covid-19 dengan Pendekatan Non-Parametrik Mayapada, Retno; Fardinah, Fardinah
ESTIMATOR : Journal of Applied Statistics, Mathematics, and Data Science Vol. 2 No. 1 (2024)
Publisher : Program Studi Statistika Universitas PGRI Argopuro Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31537/estimator.v2i1.1829

Abstract

The unemployment rate is one of the factors related to a country's economy. During the COVID-19 pandemic, there was a decline in economic growth in Indonesia which also had a negative impact on the labor market. The decreased mobility of people causes reduced economic activity and ultimately the number of poverty increases. This research compares the percentage of unemployment rates in Indonesia in the period before, during, and after the COVID-19 pandemic using a non-parametric approach because the data of unemployment rates in 2020 and 2021 are not normally distributed. The non-parametric tests used in this research are the Friedman test and the Nemenyi post-hoc test. Based on research conducted, it was found that there was a statistically significant difference (?=5%) between the percentage of unemployment rates during the COVID-19 pandemic and the period before and after the COVID-19 pandemic. Meanwhile, the difference between before and after COVID-19 occurred was not statistically significant (?=5%). However, the average unemployment rate in 2023 is the smallest that compared to previous years. This shows that the economy in Indonesia is slowly starting to improve after the COVID-19 pandemic.
Co-Authors Abubakar, Rahmah Cici, St. Tenri Fajar, Rahmat Fardinah Fardinah, Fardinah Kadi, Kadi Muzakir, Nurul Azizah Nilawati Nilawati Rahayu, Putri Indi Rifandi, Muh Sulaiman, Hasma