Ariesta Kartika Sari, Tatag Yuli Eko Siswono, Agung Lukito
Algorithmic thinking is one of the thinking skills needed to improve students' ability to solve mathematical problems. However, research on the development of mathematical tasks to explore algorithmic thinking in terms of decomposition, abstraction, and algorithmization is still limited. This study aims to: (a) develop a task of algorithmic thinking on a system of linear equations using the Gauss elimination method; (b) describe the content validity and language validity of the algorithmic thinking task (ATT), and (c) describe the response of undergraduate students of the ATT. This research is included in the type of research and development. The stages of development in this limited research are (a) Research and information collecting, (b) Planning, (c) Developing a preliminary form of product, and (d) Preliminary field testing. Aspects of algorithmic thinking in this study are decomposition, abstraction, and algorithmization. The data was obtained through expert validation and a questionnaire. Validation of the initial product consists of content validity, language validity, and readability. Based on the validation results, the developed algorithmic thinking task has very good validity and is feasible to use. The average score generated by the validation of the three experts is 92.7 (very valid). The validation score obtained from an expert (Indonesian) is 97.1 (very valid). The average questionnaire score for the format, readability, and aspects of algorithmic thinking in ATT is 90.9 (very good). Thus, we concluded that the task of algorithmic thinking in the context of linear equations systems using the Gaussian elimination method is very valid and appropriate for use in future research. © 2024 Author(s).
Universitas Negeri Surabaya, Surabaya, Indonesia; Universitas Trunojoyo Madura, Kamal, Bangkalan, Jawa Timur, Indonesia
