Analisis Kemampuan Statistika Dasar Ditinjau dari Kecemasan mahasiswa: Studi Kasus pada Mahasiswa S1 Farmasi Universitas Mathla’ul Anwar Banten

Andri Imam Subekhi

Abstract


This study aims to analyze basic statistical abilities in terms of student anxiety (high, medium, low). This research is a descriptive study with a qualitative approach. The subjects of this study were all 35 students of the Department of Pharmacy, consisting of 17 boys and 18 girls. To obtain the data in this study, research instruments were used which consisted of two types, namely test and non-test. The test instrument is a basic statistical ability test in the form of 5 description questions and a non-test instrument in the form of a student anxiety questionnaire. Analysis of students' basic statistical abilities was analyzed using the scoring technique and then converted into a value ranging from 0 to 100. The score was then classified in the minimum completeness criteria (KKM). Analysis of basic statistical ability data in terms of student anxiety is categorized into high, medium, and low. The results of this study indicate that the majority of undergraduate students of Pharmacy at Mathla'ul Anwar Banten University are still in the moderate category with an average score of 56.67%.

Keywords: Basic Statistical Ability, Student Anxiety.


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References


Ruseffendi, E. (1998). Pengantar Kepada Membantu Guru Mengembangkan Kompetensinya dalam Pengaaran Matematika Untuk Meningkatkan CBSA. Bandung: Tarsito.

Nofrialdi Irel, Maison, dan Muslim. (2018). Tingkat Kecemasan Matematika Siswa SMA Negeri 2 Kerinci Kelas X MIA Sebelum Menghadapi Tes Matematika Berdasarkan Gender dan Hubungannya dengan Hasil Belajar. Edumatika Jurnal Riset Pendidikan Matematika: Volume 1, Nomor 2, November 2018.

Sunaryo, Yoni. (2013). Implementasi Model Pembelajaran Berbasis Masalah Untuk Meningkatkan Kemampuan Berpikir Kritis dan Kreatif Matematik Siswa SMA di Kota Tasikmalaya.

Lestari, K. E,. dan Yudhanegara, M.R. (2017). Penelitian Pendidikan Matematika. Bandung: Refika Aditama.


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