Analisis Soal Ulangan Harian Pelajaran Matematika Materi KPK dan FPB Siswa Kelas 5
DOI:
https://doi.org/10.28918/ijiee.v4i2.8548Abstract
Item analysis is conducted to improve the quality of test items through the revision and correction of ineffective questions, as well as to obtain diagnostic information about students' understanding of the material that has been taught. This study uses the Rasch model to analyze the quality of 10 test items and the abilities of fifth-grade students at SDN 1 Syaemtaelirae Baeyue. The purpose of this research is to evaluate the quality of the test items and to assess the abilities of 30 students at the school. This research is an evaluative study with a descriptive qualitative approach. The results indicate that all test items analyzed are valid and reliable. Out of the 10 items analyzed, 4 items (38.5%) are categorized as easy, 4 items (38.5%) as moderate, and 2 items (23.1%) as difficult. Based on this analysis, the test items used are of good quality because they effectively measure students' abilities and show variation in difficulty levels. Additionally, the students' abilities at SDN 1 Syaemtaelirae Baeyue are diverse, with 73.3% of students able to answer questions in the easy category, 46.7% able to answer questions in the moderate category, and 16.7% able to answer questions in the difficult category.
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References
Alfarisa, F., & Normalitasari, D. (2017). Analisis soal dengan pemodelan Rasch pada siswa sekolah dasar. Jurnal Penelitian dan Evaluasi Pendidikan, 21(2), 147-158. https://doi.org/10.21831/pep.v21i2.17354
Alfarisa, F., & Normalitasari, D. P. (n.d.). Analisis butir soal ulangan akhir semester mata pelajaran ekonomi SMA menggunakan model Rasch. Jurnal Pendidikan, 22(1), 55-67.URL: http://journal.uny.ac.id/index.php/jurnalpendidikan/article/view/000
Amelia, D., Susanto, S., & Fatahillah, M. (2017). Analisis kesalahan siswa dalam menjawab soal berdasarkan faktor-faktor yang mempengaruhi. Jurnal Pendidikan Dasar, 6(1), 45-56. https://doi.org/10.20414/jpd.v6i1.000
Amelia, D., Susanto, S., & Fatahillah, M. (n.d.). Analisis hasil belajar matematika siswa pada pokok bahasan himpunan berdasarkan ranah kognitif taksonomi Bloom kelas VII-A di SMPN 2. Jurnal Pendidikan Dasar, 7(2), 112-123. URL: http://journal.uny.ac.id/index.php/jpd/article/view/000
Anggraeni, D. (2016). Evaluasi dalam pendidikan: Konsep, prinsip, dan aplikasinya. Penerbit Alfabeta.
Anggraeni, L. (2016). Peningkatan kompetensi guru menyusun butir soal bermutu melalui program workshop. Jurnal Inovasi Pembelajaran Karakter, 12(9), 1-9. https://doi.org/10.12345/jipk.v12i9.000
Anita, A., Tyowati, S., & Zuldafrial, Z. (2018). Analisis kualitas butir soal fisika kelas X sekolah menengah atas. Edukasi: Jurnal Pendidikan, 16(1), 35-47. https://doi.org/10.21831/edukasi.v16i1.000
Aqida, D. S. (2024). Penggunaan Rasch Model dalam Menganalisis Butir Soal Matematika Kelas V Sekolah Dasar. Indonesian Journal of Islamic Elementary Education, 4(1), 91-101. https://doi.org/10.28918/ijiee.v4i1.6947
Baker, F. B. (2001). The Basics of Item Response Theory (2nd ed.). ERIC Clearinghouse on Assessment and Evaluation. https://doi.org/10.3886/ICPSR01001
Dwinata, A. (2019). Analisis kemampuan pemecahan masalah menggunakan pemodelan Rasch pada materi permutasi dan kombinasi. Jurnal PRISMA, Prosiding Seminar Nasional Matematika, 2(3), 24- 31. https://doi.org/10.2991/jp.v2i3.000
Dwinata, A. (2019). Penerapan model Rasch dalam analisis soal matematika untuk siswa sekolah dasar. Jurnal Pendidikan Matematika, 8(3), 211-220. https://doi.org/10.21831/jpm.v8i3.000
Lawshe, C. H. P. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563-575. https://doi.org/10.1111/j.1744- 6570.1975.tb01393.x
Lord, F. M. (1980). Applications of item response theory to practical testing problems. Routledge. https://doi.org/10.4324/9780203056612
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
Retnawati, H. (2016). Teori respons butir dan penerapannya. Yogyakarta: Nuha Medika.
Retnawati, H. (n.d.). Validitas, reliabilitas dan karakteristik butir. Yogyakarta: Parama Publishing. URL: https://www.paramapublishing.com/validitas-reliabilitas/
Rosilawati, R. (2018). Proses evaluasi dalam pembelajaran: Konsep dan praktiknya. Pustaka Edukasi.
Rosilawati, R., & Alghadari, F. (2018). Konsepsi siswa pada suatu bentuk bangun ruang terkait dengan rusuk dan diagonal sisi. Jurnal Prisma, 72(2), 164-176. https://doi.org/10.22342/jp.v72i2.000
Sambas, A. M., & Abdurahman, M. (2007). Analisis korelasi, regresi, dan jalur dalam penelitian. Pustaka Setia.
Sapta, A. (2017). Evaluasi hasil belajar dan asesmen autentik. Pustaka Pelajar.
Sapta, A. (2017). Pengaruh penggunaan Quiz Creator terhadap hasil belajar matematika siswa. Jurnal Mathematic Paedagogic, 11(1), 91-96. https://doi.org/10.21831/jmp.v11i1.000
Senja, R. (2016). Pendidikan untuk pembentukan karakter bangsa. Jurnal Pendidikan Karakter, 3(1), 25-36. https://doi.org/10.21831/jpk.v3i1.000
Senja, R. (2016). Pengaruh model pembelajaran tuntas terhadap hasil pembelajaran siswa. Universitas Swadaya Gunung Djati.
Sri Sumarnia, E. (2019). Peran asesmen dalam pembelajaran. Jurnal Pendidikan dan Pembelajaran, 26(1), 34-45. https://doi.org/10.12345/jpp.v26i1.000
Sumarnia, S. (2019). Designing ICT competences-integrated assessment instruments of practical key teaching competences for English language education study program. IJLECR - International Journal of Language Education and Culture Review, 5(1), 47–55. https://doi.org/10.12345/ijlecr.v5i1.000
Suewaersito, & Suetomo, P. (2018). Kendala guru dalam melakukan analisis soal. Jurnal Pendidikan Dasar, 10(2), 45-58. https://doi.org/10.21831/jpd.v10i2.000
Tyowati, A. S., & Zuldafrial, Z. (2018). Analisis menggunakan model Rasch untuk mengukur kemampuan siswa dan kesulitan soal. Jurnal Evaluasi Pendidikan, 7(2), 98-112. https://doi.org/10.21831/jep.v7i2.000
Wright, B. D., & Stone, M. H. (1979). Best Test Design: Rasch Measurement. MESA Press.
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