Yeka Hendriyani, Muhammad Anwar, Hendra Hidayat, Elsa Sabrina
Higher-order thinking skills (HOTS), cognitive structure, prior knowledge, and trait thinking, are vital in contributing to students’ academic and professional achievements and, as such, require significant focus from educational establishments. HOTS needs to be encouraged so that it is owned by students to face future challenges while strengthening students’ cognitive structure, prior knowledge, and trait thinking. This research aims to find the student’s academic performance (SAP) prediction model using adaptive neuro-fuzzy inference systems and the main factors that most determine SAP. The study involved a sample of 45 students collected from electronics engineering education students at the engineering faculty of Universitas Negeri Padang. Developing an accurate SAP prediction model is a challenging task. The model of adaptive neuro-fuzzy inference system (ANFIS) was employed to determine which familiar factors can provide an early signal of the SAP’s anticipated value. The test findings indicate substantial correlations between all factors concerning the SAP score. However, it does not necessarily mean that the value of each factor is high, driving up the SAP score. In the context of all factors affecting SAP, the primary determinants of enhanced academic success are cognitive structure and prior knowledge. The HOTS factor, partially, increases academic performance scores linearly by omitting the other factors influence. © 2025 Yeka Hendriyani et al.;
Universitas Negeri Padang, Jalan Prof Hamka Kampus Air Tawar Barat, Padang, Indonesia; Universitas Negeri Medan, Jalan William Iskandar Ps. V, Indonesia
