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Journal : AKSIOMA JURNAL PENDIDIKAN MATEMATIKA

ITEM QUALITY ANALYSIS FOR MEASURING MATHEMATICAL PROBLEM-SOLVING SKILLS Palupi Sri Wijayanti
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 9, No 4 (2020)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (373.476 KB) | DOI: 10.24127/ajpm.v9i4.3036

Abstract

This research aims to determine the quality of the questions used to measure students ' mathematical problem-solving skills. This type of research includes quantitative descriptive research. The research subject is a grade VII student with a primary data source is scores of mathematical problem-solving skills. The research instrument used was a written test to measure problem-solving abilities. The data analysis technique used is a quantitative analysis by looking at the validity, reliability, differentiation power, and bullet-grain index of the matter. The results showed that the problem has been valid, the reality belongs to the category quite well, the differentiator power for three items, including bad, enough, and good classes. Meanwhile, the difficulty index shows a number in the easy category, and two names are included in the medium category. Thus, it concluded that the instruments used to measure problem-solving abilities are valid and in a suitable category. It can see it from the instrument trial results with the percentage value of students' problem-solving abilities, which is included in the very high category, namely 20%. The number of students who have problem-solving skills in great variety could be presented at 53.33%. Students who have sufficient and low problem-solving abilities were given at 16.67% and 10%.Penelitian ini bertujuan untuk mengetahui kualitas butir soal yang digunakan untuk mengukur kemampuan pemecahan masalah matematika siswa. Jenis penelitian ini termasuk penelitian deskriptif kuantitatif. Subjek penelitian adalah siswa kelas VII dengan sumber data utama adalah skor kemampuan pemecahan masalah matematika. Instrumen penelitian yang digunakan adalah tes tertulis untuk mengukur kemampuan pemecahan masalah. Teknik analisis data yang digunakan adalah analisis kuantitatif dengan melihat validitas, realibilitas, daya pembeda, dan indeks kesukaran butir soal. Hasil penelitian menunjukkan bahwa butir soal telah valid, realibilitas termasuk dalam kategori cukup baik, daya pembeda untuk tiga butir soal termasuk kategori buruk, cukup, dan baik. Sementara itu, indeks kesukaran soal menunjukkan satu nomor dalam kategori mudah dan dua nomor termasuk dalam kategori sedang. Dengan demikian, dapat disimpulkan bahwa instrumen yang digunakan untuk mengukur kemampuan pemecahan masalah telah valid dan berkategori baik. Hal ini terlihat dari hasil ujicoba instrumen dengan persentase nilai kemampuan pemecahan masalah siswa yang termasuk dalam kategori sangat tinggi yaitu 20%. Jumlah siswa yang memiliki kemampuan pemecahan masalah dengan kategori tinggi dapat dipresentasekan sebesar 53,33%. Siswa yang memiliki kemampuan pemecahan masalah dengan kategori cukup dan rendah dipresentasekan sebesar 16,67% dan 10%.
MATHEMATICS SOFTSKILL: THE LEVEL OF MATHEMATICS PRE-SERVICE TEACHER STUDENT IN PROBLEM SOLVING Palupi Sri Wijayanti; Esti Setiawati
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 11, No 3 (2022)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (427.461 KB) | DOI: 10.24127/ajpm.v11i3.5728

Abstract

The ability to solve math problems is included in mathematics learning, so it needs to be emphasized as the achievement of mathematics learning competencies. This study aimed to determine the category of the level of students' mathematical problem-solving skills when learn using e-learning. This research is a quantitative descriptive study. The primary data source was obtained from the test scores of mathematics problem-solving ability of 7th-grade students of SMP N 3 Jetis (Junior high School). The research stages were carried out in three steps: preparation, implementation, and end—data analysis techniques used in the descriptive analysis to categorize students' mathematical problem-solving abilities. This study indicates that the category of students' problem-solving skills on mathematical tests in online learning is included in the category of sufficient. For the indicator of identify the elements identified, asked, and the adequacy of the required details is very high. Then, the aspect of formulating mathematical problems or compiling mathematical models is high, furthermore, for hands implementing strategies to solve problems, low for indicators explaining or interpreting the results of problem-solving.