Analysis of Student Misconceptions in Linear Programs Reviewed from Computational Thinking in Problem Solving

Ili  Yanti,; Syaiful,; Yantoro,

Analysis of Student Misconceptions in Linear Programs Reviewed from Computational Thinking in Problem Solving

Abstract:

This study aims to describe the misconceptions experienced by students in solving linear program problems of the two-phase simplex method based on computational thinking in problem solving. This research is case study research with a qualitative approach. The research subject consisted of 1 student of the Tadris Mathematics Study Program at UIN Sulthan Thaha Saifuddin Jambi who met the requirements as a research subject. This research subject was determined using a purposive sampling technique. The instruments used include an essay question test on two-phase simplex method material consisting of one item based on problem solving ability and interview guidelines to clarify the misconceptions that occur. The data analysis technique is to reduce the data that shows misconceptions in the two-phase simplex method material, then present the data that shows misconceptions and draw conclusions. The results showed that in the decomposition indicator S1M1 fulfilled his problem-solving ability, in pattern recognition S1M1 experienced misconceptions in some of the problem planning carried out. in the abstraction indicator in problem solving all subjects almost experienced conceptual errors in determining which information was needed and which was not needed for problem solving, and in the preparation of the algorithm, S1M1 was more dominant in experiencing misconceptions, where conceptual errors started from errors in determining the ratio value in the first iteration table in phase 1 until the error continued until the final result.

References:

Ansori, M. (2020). Pemikiran Komputasi (Computational Thinking) dalam Pemecahan Masalah. DIRASAH, 3(2), 112–126.
Astuti, A., Syahza, A., & Putra, Z. H. (2023). PENELITIAN COMPUTATIONAL THINKING DALAM PEMBELAJARAN MATEMATIKA. AKSIOMA: Jurnal Program Studi Pendidikan Matematika, 12(1), 363. https://doi.org/10.24127/ajpm.v12i1.5860
Darta, & Kandaga, T. (2019). Program Linear dan Aplikasinya (Rachmi, Ed.; 1st ed.). PT Refika Aditama.
Fauziah, A., & Pandra, V. (2024). Analisis Miskonsepsi Terhadap Number Sense Menggunakan Five-Tier Diagnostic Test Pada Siswa Sekolah Dasar. Jurnal Riset Pendidikan Matematika, 11(2).
Hamsar, I., As, N. F., Andika, M. D., & Alif, M. A. (2024). Analisis Computational Thinking Mahasiswa JTIK (Jurusan Teknik Informatika dan Komputer). Jurnal Pendidikan Terapan, 90–103.
Izza, R. I., Nurhamidah, N., & Elvinawati, E. (2021). Analisis miskonsepsi siswa menggunakan tes diagnostik esai berbantuan cri (certainty of response index) pada pokok bahasan asam basa. Alotrop, 5(1), 55–63.
Maharani, S., Nusantara, T., As‘ari, A. R., & Qohar, Abd. (2020). Computational thinking pemecahan masalah di abad ke-21. https://www.researchgate.net/publication/347646698
Mambang, Zulfadhilah, M., Cipta, S. P., Prastya, S. E., & Marleny, F. D. (2022). Pendampingan Penerapan Computational Thinking pada Siswa SDN Sungai Lulut 2 Kabupaten Banjar. Majalah Ilmiah UPI YPTK, 37–42. https://doi.org/10.35134/jmi.v29i1.105
Mufidah, A. B., Sulasteri, S., Farham Majid, A., Andi Mattoliang, L., & Tarbiyah dan Keguruan Universitas Islam Negeri Alauddin Makassar, F. (2019). Analisis Pemahaman Konsep Aljabar Pada Mata Kuliah Aljabar Linear Elementer Analysis of Concept Understanding in Elementary Linear Algebra. Journal of Islamic Education, 1(1), 42–52.
Napitupulu, W. R., & Surya, E. (2013). Analisis Miskonsepsi Siswa Pada Pembelajaran Matematika Materi Pokok Ruang Dimensi Tiga Ditinjau Dari Kecerdasan Visual-Spasial Siswa Kelas X Sma. May. https://digilib.uns.ac.id/dokumen/detail/34250%0Ahttps://digilib.uns.ac.id/dokumen/download/34250/ODgwNzM=/Analisis-Miskonsepsi-Siswa-Pada-Pembelajaran-Matematika-Materi-Pokok-Ruang-Dimensi-Tiga-Ditinjau-Dari-Kecerdasan-Visual-Spasial-Siswa-Kelas-X-Sma-Ne
Nurcahya, I. (2022). EFEKTIVITAS PENDEKATAN COMPUTATIONAL THINKING TERHADAP MISKONSEPSI PESERTA DIDIK PADA MATERI FISIKA.
Putri, L. I. (2017). EKSPLORASI ETNOMATEMATIKA KESENIAN REBANA SEBAGAI SUMBER BELAJAR MATEMATIKA PADA JENJANG MI. Jurnal Ilmiah Pendidikan Dasar, 4(1), 21–31.
Rambe, A. F., & Yahfizam, Y. (2024). Kemampuan Berpikir Komputasional dalam Memecahkan Masalah Matematika. Konstanta: Jurnal Matematika Dan Ilmu Pengetahuan Alam, 2(3), 93–102.
Revika, S. P., & Yahfizham, Y. (2024). Studi literatur analisis algoritma pemrograman pengaruh computational thinking pada pembelajaran matematika. SABER: Jurnal Teknik Informatika, Sains Dan Ilmu Komunikasi, 2(1), 17–29.
Sugiyono, S. (2016). Metode Penelitian Kuantitatif, Kualitatif, dan R & D (23rd ed.). Alfabeta.
Tang, X., Yin, Y., Lin, Q., Hadad, R., & Zhai, X. (2020). Assessing computational thinking: A systematic review of empirical studies. Computers & Education, 148, 103798. https://doi.org/10.1016/j.compedu.2019.103798
Tisngati, U., & Irawan, E. (2012). Analisis Miskonsepsi Mahasiswa STKIP PGRI Pacitan pada Mata Kuliah Teori Bilangan Ditinjau dari Gaya Belajar. Jurnal Penelitian Pendidikan, 4(2).
Turmuzi, M. (2022). Meta Analisis: Pengaruh Pembelajaran Berbasis Etnomatematika Terhadap Hasil Belajar Matematika Siswa. Jurnal Pembelajaran Matematika Inovatif, 5(5), 1525–1534. https://doi.org/10.22460/jpmi.v5i5.1525-1534
Utami, L. W., Hidayanto, E., & Hidayanto, S. (2022). Kesulitan peserta didik dalam menyelesaikan soal program linear pada pembelajaran daring. Mosharafa: Jurnal Pendidikan Matematika, 11(2), 257–268.
Wardani, S., Susanti, R., & Taufik, M. (2022). Implementasi Pendekatan Computational Thinking Melalui Game Jungle Adventure Terhadap Kemampuan Problem Solving. SJME (Supremum Journal of Mathematics Education), 6, 1–13. https://doi.org/10.35706/sjme.v6i1.5430
Wing, J. M. (2011). Research Notebook: Computational Thinking--What and Why? The Link: The Magazine of Carnegie Mellon University’s School of Computer Science. https://www.cs.cmu.edu/link/research-notebook-computational-thinking-what-and-why