Comprehensive Analysis of Assessment Instruments: Validity, Reliability, Item Difficulty, and Discrimination Indices in Ecosystem Learning Materials

Dasari Waruwu; Hardikupatu Gulo; Sehati Gea

doi:10.56207/genbionix.v4i1.813

Authors

Dasari Waruwu Department of Biology Education, Universitas Nias, Indonesia
Hardikupatu Gulo Department of Biology Education, Universitas Nias, Indonesia https://orcid.org/0000-0002-1718-0891
Sehati Gea Department of Biology Education, Universitas Nias, Indonesia

DOI:

https://doi.org/10.56207/genbionix.v4i1.813

Keywords:

assessment, validity, reliability, difficulty level, discriminating power

Abstract

This study aimed to analyze the quality of assessment instruments on ecosystem material based on the aspects of validity, reliability, difficulty level, and discriminating power of test items. The study employed a quantitative descriptive research method. The research population consisted of all tenth-grade students at SMKN 1 Onohazumba, with the research sample comprising one agricultural major class. The instrument used was a multiple-choice test consisting of 30 items developed according to the learning indicators. Data collection techniques were carried out through learning achievement tests and documentation. Data analysis was conducted using validity testing with the Product Moment correlation formula, reliability testing using the KR-20 formula, difficulty level analysis, and discriminating power analysis of test items. The results showed that all test items were declared valid, with the highest r_xyvalue of 0.506 and the lowest value of 0.368, where all r_xyvalues were greater than the r-table value of 0.367. The reliability test produced a reliability coefficient of 0.844, which falls into the very high category. The difficulty level analysis indicated that all test items were categorized as moderate, with difficulty index values ranging from 0.32 to 0.68. Meanwhile, the discriminating power analysis showed that 20 test items were categorized as good, while 10 test items were categorized as excellent.

References

Arikunto, S. (2013). Dasar-Dasar Evaluasi Pendidikan. Jakarta: Bumi Aksara.

Arikunto, S. (2018). Dasar-Dasar Evaluasi Pendidikan (Edisi Revisi). Jakarta: Bumi Aksara.

Aryadoust, V., Ng, L. Y., & Sayama, H. (2020). A Comprehensive Review of Rasch Measurement in Language Assessment: Recommendations and Guidelines for Research. Language Testing, 38(1), 6–40. https://doi.org/10.1177/0265532220927487

Chen, P. P., & Bonner, S. M. (2020). A framework for classroom assessment, learning, and self-regulation. Assessment in Education: Principles, Policy & Practice, 27(4), 373–393. https://doi.org/10.1080/0969594X.2019.1619515

Gulo, H. (2023). Penerapan Model Pembelajaran Probing Prompting Berbasis Active Learning Untuk Meningkatkan Hasil Belajar IPA SMP Negeri 4 Hiliserangkai. GEN BIONIX: Jurnal Ilmiah Pendidikan Biologi, 1(1), 55–63. https://doi.org/10.56207/genbionix.v1i1.217

Halawa, K. K., & Gulo, H. (2023). Development of Flashcard Learning Materials for the Excretory System Curriculum for 8th Grade Students at SMP Negeri 3 Lolofitu Moi Academic Year 2020/2021. GEN BIONIX: Jurnal Ilmiah Pendidikan Biologi, 1(2), 71–78. https://doi.org/10.56207/gb.v1i2.770

Harefa, A. R. (2023). Pengembangan Lembar Peserta Didik IPA Berbasis Inkuiri Pada Materi Pencemaran Lingkungan Kelas VII SMP. GEN BIONIX: Jurnal Ilmiah Pendidikan Biologi, 1(1), 32–40. https://ojs.unias.ac.id/index.php/gb/article/view/226

Hutabarat, J. (2025). Evaluasi kualitas instrumen tes IPA pada materi ekosistem berbasis HOTS. Jurnal Evaluasi Pendidikan.

Kushwah, L., Navrouzoglou, P., & Cheng, W. (2024). Embedding Sustainability in Existing Curriculum by Using Authentic Assessments, Rubrics, and Formative Assessments: A Case Study (pp. 241–254). https://doi.org/10.1007/978-3-031-55996-9_16

Lahagu, N., Harefa, A. O., & Telaumbanua, D. (2023). Pengaruh Model Pembelajaran Contextual Teaching and Learning (CTL) terhadap Motivasi dan Hasil Belajar IPA Siswa SMP. GEN BIONIX: Jurnal Ilmiah Pendidikan Biologi, 1(2), 84–89. https://doi.org/10.56207/genbionix.v1i2.799

Molnár, G. (2021a). Challenges and developments in technology-based assessment: possibilities in science education. Europhysics News, 52(2), 16–19.

Molnár, G. (2021b). Challenges and developments in technology-based assessment: possibilities in science education. Europhysics News, 52(2), 16–19.

Myoung, E., & Liou, P.-Y. (2025). Open Classroom Climate in International Large-Scale Assessments: Individual Construct or Climate Construct? SAGE Open, 15(1). https://doi.org/10.1177/21582440251323560

Nugraha, A., & Sari, M. (2024). Analisis validitas, reliabilitas, dan karakteristik butir soal ujian biologi SMA. Jurnal Penelitian Pendidikan IPA.

Sari, D. P., & Wahyuni, R. (2023). Analisis kualitas butir soal biologi materi ekosistem menggunakan aplikasi ANATES. Jurnal Pendidikan Biologi Indonesia.

Sudijono, A. (2015). Pengantar Evaluasi Pendidikan. Jakarta: Raja Grafindo Persada.

Sukiman. (2012). Pengembangan Sistem Evaluasi. Yogyakarta: Insan Madani.

Telaumbanua, J. M., Gulo, H., & Zebua, N. (2023). Validity Test of the Growth and Development Module Based on Local Potential for Students at SMA Negeri 1 Afulu. GEN BIONIX: Jurnal Ilmiah Pendidikan Biologi, 55–61. https://doi.org/10.56207/genbionix.v1i2.768

Vlachopoulos, D. (2025). Authentic Assessment: Bridging Higher Education And Real-World Skills Through Diverse Methodologies. 2225–2234. https://doi.org/10.21125/inted.2025.0628

Waruwu, T., & Gulo, H. (2023). Pengembangan Buku Saku Pada Materi Pemanasan Global Kelas VII SMP. GEN BIONIX: Jurnal Ilmiah Pendidikan Biologi, 8–17. https://doi.org/10.56207/genbionix.v1i1.222

Zebua, N. (2024). Evaluating the Impact of GenAI in High School Education: A Critical Review. Polygon: Jurnal Ilmu Komputer Dan Ilmu Pengetahuan Alam, 2(6), 79–85. https://doi.org/10.62383/polygon.v2i6.296

Zebua, N. (2026). Strengthening Partnerships Between Universities, Schools, and Government Agencies. In Teacher Education for a Changing World (pp. 289–312). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-4536-9.ch011

Zebua, N., & Ziraluo, Y. P. B. (2026). Bridging the Gap: Integrating GenAI into Secondary Science Curricula. In Harnessing Generative Artificial Intelligence for Science Education (pp. 137–162). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3373-2913-0.ch005

Zega, N. A., & Gulo, H. (2023). Pengembangan Lembar Kerja Peserta Didik Model Contextual Teaching and Learning Pada Materi Sistem Ekskresi Manusia Kelas VIII SMP Negeri 3 Lolofitu Moi. GEN BIONIX: Jurnal Ilmiah Pendidikan Biologi, 1(1), 41–54. https://doi.org/10.56207/genbionix.v1i1.221

Ziraluo, Y. P. B. (2026). Enhancing Biology Students’ Learning Outcomes through Microlearning at Universitas Nias Raya. Jurnal Pendidikan Biologi Undiksha, 12(3), 223–237. https://doi.org/10.23887/jjpb.v12i3.110347