Analisis butir soal instrumen tes keterampilan berpikir kreatif pada materi energi terbarukan menggunakan rasch model

  • Ria Rohmatika 
    Institut Agama Islam Negeri Palangka Raya
    Indonesia
  • Sri Fatmawati
    Institut Agama Islam Negeri Palangka Raya
    Indonesia
  • Suhartono Suhartono
    Institut Agama Islam Negeri Palangka Raya
    Indonesia

Abstract

Keterbatasan instrumen tes keterampilan berpikir kreatif pada materi energi terbarukan menjadi alasan perlunya pengembangan dan analisis instrumen secara mendalam. Penelitian ini bertujuan untuk menganalisis butir soal instrumen tes keterampilan berpikir kreatif pada materi energi terbarukan secara keseluruhan menggunakan Rasch Model. Pendekatan kuantitatif deskriptif diterapkan sebagai metode penelitian dengan mengambil subjek sebanyak 34 siswa kelas X SMA Negeri 1 Palangka Raya yang dipilih dengan teknik purposive sampling. Pengumpulan data menggunakan teknik tes berupa soal essay sebanyak 12 soal. Hasil data dianalisis menggunakan Rasch Model berbantuan software Winsteps 5.9.0. dengan beberapa parameter uji: unidimensionality, item fit, DIF, reliabilitas, separation, wright maps, dan tingkat kesukaran soal. Hasil penelitian menunjukkan unidimensionality, dengan nilai raw variance explained by measures sebesar 46,9% (baik), dari 12 soal yang dianalisis, 6 soal fit dengan model, sementara sisanya perlu direvisi. Tidak teramati bias terhadap butir soal berdasarkan hasil DIF (p>0,05). Namun, 2 butir soal dengan nilai logit ekstrem (2<logit<-2 ) tergolong sulit sekali dan mudah sekali sehingga perlu perhatian lebih lanjut. Nilai Cronbach’s Alpha senilai 0,62 tergolong cukup dalam pengukuran. Hasil indeks separation (H) item (4), dan person (2) menunjukkan kemampuan instrumen dalam membedakan tingkat kemampuan siswa dan tingkat kesukaran soal secara jelas. Sebaran kemampuan siswa berdasarkan wright maps, berada pada logit 0 hingga -1. Instrumen ini memiliki kualitas yang cukup valid dan reliabel sebagai alat ukur keterampilan berpikir kreatif siswa pada materi energi terbarukan dan dapat digunakan oleh pendidik. Rekomendasi penelitian selanjutnya perlu mengembangkan instrumen dengan indikator berpikir kreatif secara merata, memperluas sampel uji coba instrumen, serta mengombinasikan pendekatan analisis lainnya agar kualitas instrumen lebih akurat.
Keywords
  • analisis butir soal
  • berpikir kreatif
  • rasch model
References
  1. Afandi, & Sajidan. (2017). Stimulasi Keterampilan Berpikir Kreatif Tinggi. (Konsep dan Implementasinya dalam Pembelajaran Abad 21) (2nd ed.). UNS Press.
  2. Anindayati, A. T., & Wahyudi. (2020). Kajian Pendekatan Pembelajaran STEM dengan Model PjBL dalam Mengasah Kemampuan Berpikir Kreatif Matematis Siswa. EKSAKTA : Jurnal Penelitian Dan Pembelajaran MIPA, 5(2), 217. https://doi.org/10.31604/eksakta.v5i2.217-225
  3. Azwar, S. (2012). Reliabilitas dan Validitas (4th ed.). Pustaka Belajar.
  4. Bond, T., & Fox, C. (2015). Applying the Rasch Model; Fundamental Measurement in the Human Sciences.
  5. Boone, W. J. (2016). Rasch analysis for instrument development: Why,when,and how? CBE Life Sciences Education, 15(4). https://doi.org/10.1187/cbe.16-04-0148
  6. Brandt, W. C. (2024). Measuring Student Success Skills : a Review of the Literature on Creative Thinking (Issue May).
  7. Erfan, M., Maulyda, M. A., Hidayati, V. R., Astria, F. P., & Ratu, T. (2020). Analisis Kualitas Soal Kemampuan Membedakan Ragkaian Seri dan Paralel Melalui Teori Klasik dan Model Rasch. Indonesian Journal Of Educational Research and Review, 3(1), 11. https://doi.org/10.23887/ijerr.v3i1.24080
  8. Ernawati. (2022). Analisis Soal Ujian Matematika Berkategori Higher Order Thinking Skills (Hots) Siswa SMP dengan AnalisisRasch Model. Jurnal Pendidikan Matematika Universitas Lampung, 10(4), 375–391. https://doi.org/10.23960/mtk/v10i4.pp375-391
  9. Fadhilah, A., Yuniarti, A., & Afandi. (2024). Kelayakan Instrumen Tes Berpikir Esensial Taksonomi Presseisen: Analisis Kualitas Tes dan Abilitas Peserta Didik Menggunakan Model Raschfile:///C:/Users/Asus/Downloads/citation-309190697.txt. Diklabio: Jurnal Pendidikan Dan Pembelajaran Biologi, 8(2), 261–272. https://doi.org/10.33369/diklabio.8.2.261-272
  10. Fitriyyah, A., Anwar, L., & Hafiizh, M. (2024). Assessment of Creative Thinking Skills through Imitation, Modification, and Construction of Creative Thinking Models. PRISMA, 13(2), 175. https://doi.org/10.35194/jp.v13i2.4342
  11. Gunawan, F. M., Suryana, D., & Rahmanadia, H. (2023). Analysis of Validity and Reliability of Self-Acceptance Scale Using Rasch Model. Jurnal Pendidikan, 24(2), 71–80. https://doi.org/10.33830/jp.v24i2.4604.2023
  12. Hambleton, R. K., Swaminathan, H., & Rogers, H. J. (1992). Fundamentals of Item Response Theory. In Contemporary Sociology (Vol. 21, Issue 2). https://doi.org/10.2307/2075521
  13. Handayani, S. L., & Iba, K. (2020). Karakteristik Tes Keterampilan Proses Sains: Validitas, Reliabilitas, Tingkat Kesukaran dan Daya Pembeda Soal. Publikasi Pendidikan, 10(2), 100. https://doi.org/10.26858/publikan.v10i2.13051
  14. Hasanah, D., & Purwanto, J. (2023). Rasch Model Analysis of Physics Test of HOTS on Topic of Elasticity and Hooke.s Law. Thabiea.
  15. Hermawati, R., & Chen, D. (2023). Increasing Student Cooperation Through A Project-Based Learning Model with the Theme of Ecosystems. Journal of Basic Education Research, 4(1), 45–49. https://doi.org/10.37251/jber.v4i1.299
  16. Hikmah, F. N., Sukarelawan, M. I., Nurjannah, T., & Djumati, J. (2021). Elaboration of High School Student’s Metacognition Awareness on Heat and Temperature Material: Wright Map in Rasch Model. Indonesian Journal of Science and Mathematics Education, 4(2), 172–182. https://doi.org/10.24042/ijsme.v4i2.9488
  17. Irmayanti, R., Rusdi, M., & Yusnaidar, Y. (2023). The Rasch Model: Implementation of Physics Learning Evaluation Instrument Based on Higher Order Thinking Skills. Integrated Science Education Journal, 4(2), 62–68. https://doi.org/10.37251/isej.v4i2.325
  18. Jumini, S., Madnasri, S., Cahyono, E., & Parmin, P. (2023). Analisis kualitas butir soal pengukuran literasi sains melalui teori tes klasik dan rasch model. Prosiding Seminar Nasional Pascasarjana UNNES, 6, 758–765.
  19. Królikowska, A., Reichert, P., Karlsson, J., Mouton, C., Becker, R., & Prill, R. (2023). Improving the Reliability of Measurements in Orthopaedics and Sports Medicine. Knee Surgery, Sports Traumatology, Arthroscopy, 31(12), 5277–5285. https://doi.org/10.1007/s00167-023-07635-1
  20. Lidinillah, D. A. M., Aprilia, M., Suryana, D., & Ahmad, A. B. (2020). Development of creativity instrument through Rasch model analysis. Universal Journal of Educational Research, 8(4), 1620–1627. https://doi.org/10.13189/ujer.2020.080455
  21. Linacre, J. M. (1994). Sample Size and Item Calibration or Person Measure Stability. Rasch Measurement Transactions, 7(4), 328. http://www.rasch.org/rmt/rmt74m.htm
  22. Mawaddah, D. A., Faradillah, A., & Alyani, F. (2024). Validity of the Rasch Model-Based Mathematical Critical Thinking Ability Instrument. PATTIMURA PROCEEDING: Conference of Science and Technology, 5(1), 41–48. https://doi.org/10.30598/ppcst.2024.knmxxii.41-48
  23. Muhammad, I., Angraini, L. M., Darmayanti, R., Sugianto, R., & Usmiyatun. (2023). Students’ Interest in Learning Mathematics Using Augmented Reality: Rasch Model Analysis. Edutechnium Journal of Educational Technology, 1(1), 89–99. https://www.edutechnium.com/journal
  24. Muqaffi, Rusmana, N., & Ilfiandra. (2024). Emotional Regulation Scale: A Rasch Model Approach. G-Couns: Jurnal Bimbingan Dan Konseling, 9(1), 451–459. https://doi.org/10.31316/gcouns.v9i1.6453
  25. Nur, L., Yulianto, A., Suryana, D., Malik, A. A., Al Ardha, M. A., & Hong, F. (2022). An Analysis of the Distribution Map of Physical Education Learning Motivation through Rasch Modeling in Elementary School. International Journal of Instruction, 15(2), 815–830. https://doi.org/10.29333/iji.2022.15244a
  26. OECD. (2024). PISA 2022 Results Creative Minds, Creative Schools. OECD Publishing. https://doi.org/https://doi.org/10.1787/765ee8c2-en.
  27. Planinic, M., Boone, W. J., Susac, A., & Ivanjek, L. (2019). Rasch Analysis in Physics Education Research: Why Measurement Matters. Physical Review Physics Education Research, 15(2). https://doi.org/10.1103/PhysRevPhysEducRes.15.020111
  28. Plummer, J. D., & Ozcelik, A. T. (2015). Preservice Teachers Developing Coherent Inquiry Investigations in Elementary Astronomy. Science Education, 99(5), 932–957. https://doi.org/https://doi.org/10.1002/sce.21180
  29. Prayoga, K. P., Suryana, D., Supriatna, M., & Budiman, N. (2024). Penggunaan Rasch Model Untuk Menganalisis Konstruk Instrumen Kontrol Diri Pada Siswa Sekolah Menengah. G-Couns: Jurnal Bimbingan Dan Konseling, 9(1), 367–381. https://doi.org/10.31316/gcouns.v9i1.4459
  30. Putri, S., & Khusna, H. (2020). Rasch Model untuk Memvalidasi Instrumen Resiliensi Matematis Mahasiswa Calon Guru Matematika. JKPM (Jurnal Kajian Pendidikan Matematika), 1(6), 65–74. http://journal.lppmunindra.ac.id/index.php/jkpm/
  31. Rosha, J. M., & Hidayat, A. (2023). Analysis of Creative Thinking Skill Instrument Test (CreaTSIT) on renewable energy topic for senior high school student using Rasch model. Journal of Physics: Conference Series, 2596(1), Rosha, J. M., Hidayat, A. (2023). Analysis of Cr. https://doi.org/10.1088/1742-6596/2596/1/012066
  32. Saidi, S. S., & Siew, N. M. (2019). Reliability and Validity Analysis of Statistical Reasoning Test Survey Instrument using the Rasch Measurement Model. International Electronic Journal of Mathematics Education, 14(3). https://doi.org/10.29333/iejme/5755
  33. Sumintono, B., & Widhiarso, W. (2014). Aplikasi Model Rasch Untuk Penelitian Ilmu-ilmu Sosial. Trim Komunitas Publishing House.
  34. Sumintono, B., & Widhiarso, W. (2015). Aplikasi Pemodelan Rasch pada Assessment Pendidikan. Trim Komunikata. https://core.ac.uk/download/pdf/162015993.pdf
  35. Suprapto, E., Saryanto, S., Sumiharsono, R., & Ramadhan, S. (2020). The Analysis of Instrument Quality to Measure the Students’ Higher Order Thinking Skill in Physics Learning. Journal of Turkish Science Education, 17(4), 520–527. https://doi.org/10.36681/tused.2020.42
  36. Suryani, Y. E., & Jaedun, A. (2022). An Application of the Rasch Model in Quality Testing of Polytomic Instruments. Proceedings of the 5th International Conference on Current Issues in Education (ICCIE 2021). https://doi.org/10.2991/assehr.k.220129.006
  37. Susongko, P., Arfiani, Y., & Kusuma, M. (2021). Determination of gender differential item functioning in tegal-students’ scientific literacy skills with integrated science (Slisis) test using rasch model. Jurnal Pendidikan IPA Indonesia, 10(2), 270–281. https://doi.org/10.15294/jpii.v10i2.26775
  38. Taber, K. S. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48(6), 1273–1296. https://doi.org/10.1007/s11165-016-9602-2
  39. Tanujaya, L., & Yudiarso, A. (2023). Uji Validitas dan Reliabilitas Multicultural Attitude Scale Questionnaire (MASQUE) Versi Indonesia dengan Model Rasch. Humanitas, 7(2), 139–150.
  40. Tavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53–55. https://doi.org/10.5116/ijme.4dfb.8dfd
  41. Thiagarajan, & Sivasailan. (1976). Instructional development for training teachers of exceptional children: A sourcebook. Journal of School Psychology, 14(1), 75. https://doi.org/10.1016/0022-4405(76)90066-2
  42. Torrance, E. P. (1966). Torrance tests of creative thinking : norms-technical manual. Scholastic Testing Services.
  43. Ummah, K., Mardhiya, J., & Mulyanti, S. (2022). Pengembangan Instrumen Tes Penguasaan Konsep Representasi Kimia Pada Lima Indikator Asam Basa Dari Alam : Analisis Dengan Rasch Model. Jurnal Tarbiyah, 29(2), 212. https://doi.org/10.30829/tar.v29i2.1706
  44. Wulandari, M., & Jumadi, J. (2023). Analisis Penggunaan E-Modul Untuk Mendukung Kemampuan Pembelajaran Fisika Siswa Di Sma: Tinjauan Pustaka Sistematik. EduFisika: Jurnal Pendidikan Fisika, 8(1), 37–45. https://doi.org/10.59052/edufisika.v8i1.23317
  45. Yim, L. W. K., Lye, C. Y., & Koh, P. W. (2024). A psychometric evaluation of an item bank for an English reading comprehension tool using Rasch analysis. REID (Research and Evaluation in Education), 10(1), 18–34. https://doi.org/10.21831/reid.v10i1.65284
  46. Yuliadinda, N., Muslim, M., & Efendi, R. (2019). Validitas Tes Keterampilan Berpikir Kreatif Materi Tekanan Zat Dengan Analisis Rasch Model. Konstan - Jurnal Fisika Dan Pendidikan Fisika, 4(2), 89–97. https://doi.org/10.20414/konstan.v4i2.40

Downloads

PDF

Statistic

Abstract Views
: 216 times
PDF
: 12 times