Validity and Reliability Diagnostic Test Computational Thinking Based on Local Wisdom

Reny Refitaningsih Peby Ria, Dyah Susilowati

Abstract


This study aims to analyze the validity and reliability of the diagnostic test instrument used to measure computational thinking skills based on local wisdom. This method of research is instrument development research. The subjects of this research were students of computer science and information technology undergraduate programs at Bumigora University, totaling 108 students using a random sampling technique. Data collection techniques using tests. The data analysis technique of instrument content validity was determined based on Aiken's V formula, instrument construct validity using EFA, and instrument reliability using Cronbach Alpha. Based on the results of this research, the content validity of the instrument has a high validity index, the construct validity of the instrument items is declared feasible, and the reliability of the instrument has a high-reliability coefficient. So, this instrument is declared valid, reliable, and suitable for use to measure local wisdom-based computational thinking diagnostic tests.


Keywords


Validity; Reliability; Diagnostic Test Instrument; Computational Thinking; Local Wisdom.

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References


Anggraeni, T. E., & Mundilarto, M. (2020). The Development of Local Wisdom-Based Physics Cognitive Ability Assessment Instrument for Senior High School Students. Jurnal Penelitian dan Pembelajaran IPA, 6(1), 102–140. https://doi.org/10.30870/jppi.v6i1.5718

Anistyasari, Y., Ekohariadi, E., & Hidayati, S. C. (2022). Stimulasi Berpikir Komputasi Melalui Digital Storytelling Menggunakan CoSpaces Edu. Journal of Information Engineering and Educational Technology, 6(1), 1–6. https://doi.org/10.26740/jieet.v6n1.p1-6

Arfiansyah, R., Yuliana, I., & Sari, C. K. (2023). Integrating Computational Thinking Into Elementary School Thematic Learning While Visiting Grandma’s House. AIP, 2727, 020026. https://doi.org/10.1063/5.0141553

Batubara, U. N., & Siregar, R. (2022). Mengembangkan Kemampuan Higher Order Thinking Skill Siswa dalam Pembelajaran Sejarah. Pekalongan: NEM.

Durak, H. Y. (2020). The Effects of Using Different Tools in Programming Teaching of Secondary School Students on Engagement, Computational Thinking and Reflective Thinking Skills for Problem Solving. Technology, Knowledge and Learning. https://doi.org/10.1007/s10758-018-9391-y

Fauziyah MF, A., Hala, Y., & Aziz, A. A. (2023). Uji kepraktisan instrumen tes berorientasi higher order thinking skill (hots) pada materi sistem ekspresi kelas XI SMA/MA. Biogenerasi: Jurnal Pendidikan Biologi, 8(1), 303–309.

Fry, K., Makar, K., & Hillman, J. (2023). M in Computational Thinking: How Long Does It Take to Read a Book? Teaching Statistics, 45(S1), S30–S39. https://doi.org/10.1111/test.12348

Gok, A., & Karamete, A. (2023). A Validity and Reliability Study of The Computational Thinking Scales (CTS). Journal of Educational Technology & Online Learning, 6(2), 421–437. https://doi.org/10.1016/j.chb.2017.01.005

Harmurni, L. (2019). Instrumen Penilaian & Validasinya. Ponorogo: Uwais Inspirasi Indonesia.

Hidayat, R., Astuti, R., & Irma Purnamasari, A. (2023). Implementasi Algoritma K-Nearest Neighbor Untuk Mengestimasi Computational Thinking Mahasiswa Dalam Pembelajaran Hybrid. JATI (Jurnal Mahasiswa Teknik Informatika), 7(1), 727–733. https://doi.org/10.36040/jati.v7i1.6504

Hidayati, N. A., Waluyo, H. J., Winarni, R., & Suyitno. (2020). Exploring the Implementation of Local Wisdom-Based Character Education Among Indonesian Higher Education Students. International Journal of Instruction, 13(2), 179–198. https://doi.org/10.29333/iji.2020.13213a

Iriyadi, D., Rustam, A., & Ahmad. (2022). Integrasi Pembelajaran Remedial dan Tes Diagnostik. Sultra Educational Journal, 2(2), 78–86.

Istiyono, E. (2020). Pengembangan instrumen penilaian dan analisis hasil belajar Fisika dengan teori tes klasik dan modern. Sleman: UNY Press.

Junpho, M., Songsriwittaya, A., & Tep, P. (2022). Reliability and Construct Validity of Computational Thinking Scale for Junior High School Students: Thai Adaptation. International Journal of Learning, Teaching and Educational Research, 21(9), 154–173. https://doi.org/10.26803/ijlter.21.9.9

Karaahmetoğlu, K., & Korkmaz, Ö. (2019). The Effect of Project-Based Arduino Educational robot Applications on Atudents’ Computational Thinking Skills and Their Perception of Basic STEM Skill Levels. Participatory Educational Research, 6(2), 1–14. https://doi.org/10.17275/per.19.8.6.2

Kong, S.-C., & Abelson, H. (2019). Computational Thinking Education. Springer. https://doi.org/10.7551/mitpress/13375.003.0002

Kurniawati, R. T., Mussafah, M., & Liminiansih, K. (2019). Implementasi computational thinking dalam mata pelajaran ipa di kelas V SD Kanisius Kadirojo. Jurnal Mitra Pendidikan, 7(3), 164–175.

Lestari, I., Arifin, S. P., Widyasari, Y. L., Zain, M. M., & Rachmawati, H. (2023). The Coaching of Dunia Coding Program to Improve Computational Thinking Ability at As Shofa Junior High School Pekanbaru P. Dinamisia: Jurnal Pengabdian Kepada Masyarakat, 7(1), 136–146.

Lopez-Parra, R. D. (2023). Promoting Computational Thinking in Integrated Engineering Design and Physics Labs. Annual Conference & Exposition.

Maksum, K., Afifah, N., Ardiyaningrum, M., & Sukati. (2022). Pengembangan Instrumen Tes Keterampilan Berpikir Komputasi pada Pelajaran Matematika Sekolah Dasar (SD)/Madrasah Ibtida’iyah (MI). MODELING: Jurnal Program Studi PGMI, 9(1), 39–53.

Oriondo, L. L., & Antonio, E. M. D. (1998). Evaluating Educational Outcomes (Test, measurement and evaluation). Florentino St: Rex Printing Company, Inc.

Polat, E., Hopcan, S., Kucuk, S., & Sisman, B. (2021). A Comprehensive Assessment of Secondary School Students’ Computational Thinking Skills. British Journal of Educational Technology, 52(5), 1965–1980. https://doi.org/10.1111/bjet.13092

Qomariah, S., Rahman, F., & Wibowo, A. (2023). Pelatihan Computational Thinking Bagi Guru MI dan MTs Ad Daud Kota Samarinda. Bhakti Nagori: Jurnal Pengabdian Kepada Masyarakat, 3(1), 30–38.

Ramdiah, S., Abidinsyah, A., Royani, M., Husamah, H., & Fauzi, A. (2020). South Kalimantan Local Wisdom-Based Biology Learning Model. European Journal of Educational Research, 9(2), 639–653. https://doi.org/10.12973/eu-jer.9.2.639

Rosadi, M. E., Wagino, W., Alamsyah, N., Rasyidan, M., & Kurniawan, M. Y. (2020). Sosialisasi Computational Thinking Untuk Guru-Guru di SDN Teluk dalam 3 Banjarmasin. Jurnal SOLMA, 9(1), 45–54. https://doi.org/10.29405/solma.v9i1.3352

Rosyda, M., & Azhari, A. (2020). Pelatihan Computational Thinking dan Pembuatan Game Sederhana Bagi Guru SD Muhammadiyah se-Kecamatan Wirobrajan. Seminar Nasional Hasil Pengabdian Kepada Masyarakat, 339–348.

Sa’diyyah, F. N., Mania, S., & Suharti. (2021). Pengembangan Instrumen Tes Untuk Mengukur Kemampuan Berpikir Komputasi Siswa. Jurnal Pembelajaran Matematika In, 4(1), 17–26. https://doi.org/10.22460/jpmi.v4i1.17-26

Saritepeci, M. (2020). Developing Computational Thinking Skills of High School Students: Design-Based Learning Activities and Programming Tasks. Asia-Pacific Education Researcher, 29, 35–54. https://doi.org/10.1007/s40299-019-00480-2

Setiarini, T., Lisnawati, I., & Prastyo, T. D. (2023). Analisis berpikir komputasional mata pelajaran informatika siswa kelas X DPB dan TKJ SMK Negeri 1 Pacitan pada kurikulum merdeka. EDUMATIC: Jurnal Pendidikan Matematika, 4(1), 39–46.

Shanmugam, L., Yassin, S. F., & Khalid, F. (2019). Incorporating the Elements of Computational Thinking Into the Mobile Application Development Life Cycle (MADLC) Model. International Journal of Engineering and Advanced Technology, 8(5), 815–824.

Shin, N., Bowers, J., Roderick, S., McIntyre, C., Stephens, A. L., Eidin, E., Krajcik, J., & Damelin, D. (2022). A Framework for Supporting Systems Thinking and Computational Thinking Through Constructing Models. Instructional Science, 50, 933–960. https://doi.org/10.1007/s11251-022-09590-9

Sovey, S., Osman, K., & Effendi, M. (2022). Exploratory and Confirmatory Factor Analysis for Disposition Levels of Computational Thinking Instrument Among Secondary School Students. European Journal of Educational Research, 11(2), 639–652.

Subando, J. (2022). Validitas dan Reliabilitas Instrumen Non Tes. Klaten: Lakeisha.

Supatmiwati, D., Suktiningsih, W., Anggrawan, A., & Katarina, K. (2021). Sosialisasi Computational Thinking Mata Pelajaran Bahasa Inggris untuk Guru-Guru MI dan MTs Wilayah Lombok Tengah. ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat, 2(1), 73–84. https://doi.org/10.30812/adma.v2i1.1257

Suseno, E., & Susongko, P. (2021). Mengukur Validitas Tes. Kediri: Pemeral Edukreatif.

Susilowati, D., Apriani, A., Agustin, K., & Dasriani, N. G. A. (2021). Peningkatan Kemampuan Pedagogik Guru Melalui Program Pelatihan dan Pendampingan Bekelanjutan dalam Pembelajaran Computational Thinking pada Mata Pelajaran Matematika. ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat, 1(2), 125–134. https://doi.org/10.30812/adma.v1i2.1015

Wicaksono, A. (2022). Metodologi Penelitian Pendidikan. Sleman: Garudhawaca.

Yamin, S. (2021). E-Book Statistik Tutorial Statistik SPSS, LISREL, WARPLS, & JASP. Depok: PT Dewangga Energi International.




DOI: https://doi.org/10.33394/jk.v9i4.8991

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