IDENTIFICATION OF FORMS  FUNDAMENTALERRORS  IN DURING THE PROCESS OF SOLVING CALCULUS PROBLEMS I BY INFORMATICS ENGINEERING STUDENTS

Kennedi Tampubolon; Chandra  F.Sianturi

Kennedi Tampubolon Universitas Budidarma
Chandra F.Sianturi Universitas Budidarma

Keywords: Identification, Error Forms, Calculus

Abstract

One of the problems faced by Students of Informatics Engineering, BUDI DARMA Medan Semester I is the lack of ability of students in solving basic Calculus problems due to the lack of knowledge to analyze, model and manipulate the forms of problems from verbal language forms into simpler forms of Mathematics language. This problem has an impact on the low grades of UTS and UAS CALCULUS courses obtained by students so that it becomes a serious problem that can inhibit the development of cognitive ability in solving calculus problems. To find out the root of the problem experienced by students, researchers conduct research. To get research data, researchers conduct evaluations of students by giving a Test Description. Because the situation is still during the COVID-19 pandemic, researchers gave an evaluation in the form of Online Test via Google Classroom with sub Classwork. This research is intended to identify technical errors made by students when completing the description problem. While the approach taken in this study is a descriptive qualitative and quantitative approach. The subject of the study was a Student of Semester II of Informatics Engineering, Budi Darma Medan T.A 2020/2021. The research instrument that is built is a Problem Description where each point of the problem contains the nature and basic law of Arithmetic Calculation Operation or Algebra as the basic or basic lmu calculus. Furthermore, the Researcher makes corrections, analyzing data related to errors made during the problem resolution process. The results of the study are poured in the form of error classification tables for further data obtained processed using descriptive statistical methods. The results of data processing obtained in the form of statistical data are presented specifically and listed on tables and diagrams that form the basis in the withdrawal of conclusions.

Downloads

Download data is not yet available.

References

[1] K. Tampubolon and C. F. Sianturi, “Analisis Kemampuan Matematis Mahasiswa Teknik Informatika Dalam Memecahkan Soal-Soal Kalkulus I,” KAKIFIKOM Kumpul. Artik. Karya Ilm. Fak. Ilmu Komput., vol. 2, no. 2, pp. 134–142, Oct. 2020, Accessed: Feb. 22, 2021. [Online]. Available: http://ejournal.ust.ac.id/index.php/KAKIFIKOM/article/view/1115.
[2] D. Yusnia and H. Fitriyani, “Identifikasi kesalahan siswa menggunakan Newman’s Error Analysis (NEA) pada pemecahan masalah operasi hitung bentuk aljabar,” Semin. Nas. Pendidikan, Sains dan Teknol. Fak. Mat. dan Ilmu Pengetah. Alam Univ. Muhammadiyah Semarang, pp. 78–83, 2010, [Online]. Available: http://103.97.100.145/index.php/psn12012010/article/view/3047/2956.
[3] K. Tampubolon and C. F. Sianturi, “Hubungan Pengetahuan Kalkulus Terhadap Prestasi Belajar Mahasiswa STMIK Budi Darma Medan,” vol. 02, no. 01, pp. 69–74, 2020.
[4] N. A. Daniyati, “Hubungan Antara Kemampuan Verbal, Kemampuan Interpersonal, dan Minat Belajar dengan Prestasi Belajar Matematika,” Pythagoras J. Pendidik. Mat., vol. 10, no. 1, pp. 50–60, 2015, doi: 10.21831/pg.v10i1.9109.
[5] I. Nurhikmayati, “Analisis Kesulitan Belajar Mahasiswa pada Matakuliah Matematika Dasar,” vol. 2, no. 1, pp. 74–85, 2017.
[6] A. Kesulitan, B. Kalkulus, and T. Z. Mutakin, “MAHASISWA TEKNIK INFORMATIKA Abstract . This research aims to determine the factors that couse Information Technology Student difficulties in taking the course of Calculus 1 . The method used was a survey with a sample of 160 research students . Data coll,” vol. 3, no. 1, pp. 49–60.
[7] Z. Zukhrufurrohmah and A. S. Kusumawardana, “Analisis Kesalahan Matematis Mahasiswa Teknik Sipil pada Mata Kuliah Kalkulus II,” J. Rev. Pembelajaran Mat., vol. 4, no. 1, pp. 1–10, 2019, doi: 10.15642/jrpm.2019.4.1.1-10.
[8] A. Habibah, “Identifikasi Kesalahan-Kesalahan Siswa Sistem Persamaan Linear Dua Variabel Berdasarkan,” vol. 1, no. 2, pp. 122–129, 2020.
[9] N. Shofiyah and F. E. Wulandari, “Model Problem Based Learning (Pbl) Dalam Melatih Scientific Reasoning Siswa,” J. Penelit. Pendidik. IPA, vol. 3, no. 1, p. 33, 2018, doi: 10.26740/jppipa.v3n1.p33-38.
[10] B. Z. Faqiroh, “Problem Based Learning Model for Junior High School in Indonesia (2010-2019),” Indones. J. Curric. Educ. Technol. Stud., vol. 8, no. 1, pp. 42–48, 2020, doi: 10.15294/ijcets.v8i1.38264.
[11] A. S. Argaw, B. B. Haile, B. T. Ayalew, and S. G. Kuma, “The effect of problem based learning (PBL) instruction on students’ motivation and problem solving skills of physics,” Eurasia J. Math. Sci. Technol. Educ., vol. 13, no. 3, pp. 857–871, 2017, doi: 10.12973/eurasia.2017.00647a.
[12] “Mathematical Symbols to Represent Operations and Relations.” https://www.smartick.com/blog/math/operations-and-algebraic-thinking/algebra/mathematical-symbols/ (accessed Feb. 23, 2021).
[13] M. Learning and R. Cookbook, “PRECALCULUS Mathematics for Calculus.”
[14] B. G. Alhogbi, BUKU AJAR Matematika Dasar, vol. 53, no. 9. 2017.
[15] J. L. Olenewa, PRECALCULUS, no. 2007. 2017.