Teachers' Competence and Readiness in Eco-Green Mathematics and Environmental Sustainability Literacy: An Empirical Study in Digital-AI-Based Learning Sunismi Sunismi, Abdul Halim Fathani, Yayan Eryk Setiawan Bio Web of Conferences, 2026 This study investigates mathematics teachers' competencies and readiness in integrating Eco-Green Mathematics, sustainability literacy, and digital-AI-based learning. A quantitative survey was conducted with 1,073 mathematics teachers from 33 provinces in Indonesia, representing diverse educational levels. Data were collected using a five-point Likert scale questionnaire covering four dimensions: (A) understanding of Eco-Green Mathematics and sustainability literacy, (B) competence in eco-green mathematics supported by AI, (C) readiness for digital-AI implementation in teaching, and (D) perspectives on sustainability-oriented mathematics literacy. Descriptive statistics were applied to examine percentages and distribution patterns. Findings reveal a consistent trend: teachers show high conceptual awareness but limited practical application. In Aspek A, 78.8% of teachers recognized the importance of eco-green integration, but only 33.6% understood its concepts. In Aspek B, nearly half occasionally used environmental data in teaching, while fewer than 10% regularly employed AI. In Aspek C, 41.5% used LMS occasionally, and only 9.7% frequently applied AI tools, despite 79% perceiving AI as effective. In Aspek D, most teachers demonstrated moderate sustainability-oriented numeracy, with 46.9% linking mathematics to global issues occasionally. A gap between positive attitudes and practical competencies, suggesting further research on modules, practice-based training, and institutional support for Eco-Green Mathematics with digital-AI integration.
Classification of errors in determining trigonometry function values at standard positions Yayan Eryk Setiawan Setiawan, Sunardi Jramathedu, 2023 One of the important materials to study in a trigonometry course is the value of trigonometric functions in standard positions. However, the results of preliminary research show that there are still many first semester students who experience errors in determining the value of the trigonometric function in the standard position. These errors are important for further analysis. Therefore this study aims to describe the mistakes of the first semester students in determining the value of the trigonometric function in the standard position. This type of research is a qualitative descriptive study with a case study approach towards students of the mathematics education study program at a university in Malang. The data collected in this study consisted of the subject's work and transcripts of interviews with the subject. Work data were analyzed descriptively to know the types of student errors. The transcript data from the interview results were analyzed by coding, to determine the factors that caused student error. The results showed that out of 34 students who made errors in determining the value of trigonometric functions at the standard position, 11% had conceptual errors, 56% had principle errors, 15% had calculation errors and 18% had factual errors. The results of this study contribute to teaching the material for the value of trigonometric functions in the standard position to reduce conceptual errors, principle errors, calculatin errors, and factual errors.
PROSPECTIVE TEACHERS REPRESENTATIONS IN PROBLEM SOLVING OF SPECIAL ANGLE TRIGONOMETRY FUNCTIONS BASED ON THE LEVEL OF ABILITY Yayan Eryk Setiawan Infinity Journal, 2022 One of the materials used as the basis for solving trigonometric function problems is special angle trigonometry. Prospective teachers' representation in problem-solving of trigonometric functions with special angles is thought to be influenced by prospective teachers' abilities. Therefore, this study aims to analyze the representations used by prospective teachers in problem-solving of special angle trigonometric function based on ability categories. This research is qualitative descriptive. The research subjects are prospective teachers of the mathematics education study program at a university in Malang. The data collected in this study are in the form of work results and observation. The research instrument consisted of the problem of the trigonometric function value of the special angle and the interview guide developed by the researcher. The analysis of prospective teacher work results was carried out by classifying the ability categories into low, medium, and high abilities. The work results of each of these categories are classified based on verbal, numeric, image, and algebraic representations. The analysis of the interview transcripts was carried out by coding the words or sentences which aims to determine prospective teachers' understanding of using representations. The results showed that prospective teachers with low ability use a lot of verbal representation, while prospective teachers with medium and high abilities use a lot of image representation in problem-solving of special angle trigonometric function. The implication of the results of this study is to teach special angle trigonometric function material based on appropriate representations.
Supporting System of Decision Making of Teacher Recruitment Using Tahani Fuzzy Logic Yayan Eryk Setiawan Barekeng, 2020 One effort to get teachers who are competent in their fields is to conduct a teacher recruitment process based on four teacher competencies, namely personal, social, pedagogic, and professional competencies. However, the obstacle of the teacher recruitment process that often done is the subjectivity of decision-making. One way to overcome subjectivity in teacher recruitment is by using tahani fuzzy logic. For this reason, this study aims to determine the implementation of tahani fuzzy logic in the supporting system of decision making for teacher admissions based on the results of the four teacher competency tests. This research consists of three stages. The first stage is determining the function of the degree of membership from the value of personal, social, pedagogical, and professional competencies. The second step is designing the tahani fuzzification program using Microsoft Excel. The third stage is implementing the fuzzy tahani program that successfully created for the decision to make admissions. The results showed that teacher acceptance decision making using tahani fuzzy logic was better than just using an average value. Because tahani fuzzy logic considers various criteria, while the average only considers one criterion that has a high value.
Generalization strategy of linear patterns from field-dependent cognitive style Yayan Eryk Setiawan, Purwanto Purwanto, I Nengah Parta, Sisworo Sisworo Journal on Mathematics Education, 2020 Linear pattern is the primary material in learning number patterns in junior high schools, but there are still many students who fail to generalize the linear pattern. The students’ failure in generalizing the pattern occurred when the students ended to view the problems globally without breaking them into the constructors’ components such as the experience of field-dependent type students. For this reason, this study was carried out to explore the thinking process of students who fail and investigate the thinking processes of students who succeed in generalizing linear patterns. The results of this study provide an effective learning strategy solution for field-dependent students in generalizing linear patterns. This study employed a qualitative approach with a case study design to junior high school students. The results indicated that students in the field-dependent cognitive style looked at pattern questions represented in the form of geometric images globally without looking at the structure of the image. Two strategies for generalizing linear patterns used by field-dependent students were examined, namely recursive and different strategies.
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