Readiness of Melawi Junior High Schools to Develop Graduate Profiles Through Coding and AI

Abstract

Education plays a vital role in shaping Indonesia’s future. In the digital era, integrating coding and artificial intelligence (AI) into learning is crucial to equip students with relevant competencies. Junior high schools are expected to develop graduate profiles capable of meeting digital challenges; however, their readiness to implement coding and AI learning effectively requires further investigation. This study aimed to describe the readiness of junior high schools in Melawi Regency in developing graduate profile dimensions through coding and AI learning using a quantitative descriptive method. The population consisted of 40 principals. Data were collected via a Google Forms questionnaire with a 1–4 Likert scale, covering competent teacher availability, learning facilities, curriculum implementation, students’ readiness, and local government policy support. Data were analyzed using the Smart Education Readiness Index (SERI) Assessment Matrix. Results showed that competent teacher availability and capacity-building programs remain insufficient, with average scores of 1.65 and 1.63. Computer facilities, internet access, and supporting software were limited (1.83–2.35). Curriculum integration and coding/AI guideline implementation were suboptimal (2.45 and 2.58), though teacher and student support was relatively high (3.13). Students’ readiness and interest were good (>2.85), yet advanced skill development progressed gradually. While local government support and school strategies showed progress, acceleration and consistency are still needed. In conclusion, school readiness is at an early stage, highlighting the need to strengthen teacher capacity, improve facilities, optimize curriculum, and establish sustainable policies to develop graduates who are adaptive and competent in the digital era.