Azkannaila, Ara
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Hubungan Locus of Control dan Kemampuan Representasi Matematis Siswa Azkannaila, Ara
Prosiding Sesiomadika Vol 5 No 2 (2024): Sesiomadika
Publisher : Prosiding Sesiomadika

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Kemampuan representasi matematis adalah salah satu kemampuan yang harus dimiliki oleh siswa menurut National Council of Teachers of Mathematics (NCTM). Aspek lain yang tidak kalah penting dimiliki oleh siswa yakni kemampuan locus of control yang berkaitan dengan sifat kepercayaan diri serta seberapa jauh individu memandaang hubungan antara perbuatan, sebab akibat, serta hasil dari pencapaiannya. Penelitian ini bertujuan untuk mengetahui hubungan locus of control dengan kemampuan representasi matematis siswa pada materi phytagoras. Populasi dalam penelitian ini adalah siswa kelas VII MTs. Al-Ikhlas Proklamasi Karawang Tahun Pelajaran 2023/2024. Pemilihan sampel dengan cara simple random sampling, sehingga didapatkan siswa kelas VII-A sebagai sampel penelitian dengan jumlah 24 siswa. Instrumen yang digunakan pada penelitian ini berupa instrumen non-tes yaitu angket locus of control dan instrumen tes yaitu tes kemampuan representasi matematis berupa soal uraian sebanyak 3 soal. Metode penelitian yang digunakan yaitu metode korelasional dengan pendekatan kuantitatif non-eksperimen. Analisis data menggunakan uji korelasi Product Moment Pearson dengan perhitungan menggunakan Microsoft Excel dan IBM SPSS 25. Hasil penelitian menunjukkan bahwa terdapat hubungan antara locus of control dengan kemampuan representasi matematis siswa, dengan tingkat hubungan sedang yaitu 0,39 dan nilai signifikansi 0,048 < 0,05 yang artinya terdapat hubungan yang signifikan antara locus of control dengan kemampuan representasi matematis siswa. Adapun pengaruh locus of control terhadap kemampuan representasi matematis siswa yaitu sebesar 15,2%, sedangkan 84,8% lainnya dipengaruhi oleh faktor-faktor diluar penelitian.
Klasterisasi Siswa Sekolah Menengah Atas Berdasarkan Kemampuan Literasi Matematis dan Kemampuan Numerasi Azkannaila, Ara; Lestari, Karunia Eka
Polinomial : Jurnal Pendidikan Matematika Vol. 4 No. 3 (2025)
Publisher : Papanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/jp.v4i3.1948

Abstract

Mathematical literacy is the ability of an individual to formulate, apply, and interpret mathematics in various contexts. Meanwhile, numeracy is the ability used to utilize numbers and arithmetic operation skills to solve numerical problems in the real world. Learning in the classroom must certainly be planned as well as possible and is one of the challenges for teachers in order to provide learning that is in accordance with the characteristics and needs of students. Therefore, this study aims to categorize students based on mathematical literacy and numeracy skills in order to map the pattern of student characteristics based on these two abilities. The approach of this research is quantitative with quantitative descriptive method, while the population of this research is class XI students of SMA Negeri 1 Tegalwaru with a sample of 96 students from three classes. The data collection technique used test instruments and data analysis was carried out by applying the k-means algorithm at the data mining stage. The results explained that students were divided into two clusters where cluster one contained 24 students and cluster two totaled 72 students. Cluster one consists of students who understand quite well in mathematical literacy skills, and cluster two consists of students who understand numeracy skills quite well. Based on the discussion, the conclusion of this study is that the characteristics of students are divided into two clusters in which researchers recommend learning models related to visuals and media such as picture to picture, as well as learning that can construct problems and student understanding, namely discovery learning models and problem-based learning models.