Recommendation Systems for internship place using artificial intelligence based on competence

Internship program is important to be implemented as it can increase the competence of the university students. In fact, the program gives significant impact to the success of the students in industry. Students freely choose their suitable place for the internship because suitable place will make students feel motivated and as a result they will be more competent. Industrial internship program is learning at the relevant industry, aimed to increase the competence of the students by introducing them with real working condition. Students are still find difficulty in deciding the suitable place for internship because of their low confidence or competence with related issue. Now, students only need to fill the questionnaire and take the test. The data obtained from the test and questionnaires are then processed by using Artificial Neural Network (ANN), one of the Artificial Intelligence (AI) method. The result was that system can execute the process well and provide accurate recommendation for informatics students to determine suitable place for their internship program. Neural Network in the system is using the recurrent architecture to produce accurate optimal training.