A Recommendation System for Double Track Program Skill Selection Using the Analytic Hierarchy Process (AHP)

The Double Track Program prepares high school students for careers or entrepreneurship through skills training, aiming to reduce post-graduation unemployment in East Java. It offers seven skill areas: multimedia, culinary arts, fashion design, beauty treatment, electrical engineering, electrical technology, and light vehicle engineering. Students choose one skill area for a year. However, mismatched expectations can lead to wasted time, poor outcomes, and frustration. To address this, a web-based recommendation system was developed to suggest skill areas based on criteria such as job availability, salary, interests, facilities, and entrepreneurial opportunities. The system employs the Analytic Hierarchy Process (AHP) method to support decision-making. It is implemented as a website using TypeScript, Go, the Next.js framework, and PostgreSQL for data storage. Testing with 77 eleventh-grade students from Dharma Wanita Surabaya High School showed that the top three recommendations achieved an average accuracy of 77.3036%, while the top five reached 77.5510%. Overall, the system demonstrated an average accuracy of 78.4521%, proving effective in guiding students toward skill areas that align with their goals.