DOI of the published article https://doi.org/10.37600/tekinkom.v6i2.1071
Departement Recommendation Expert Sytem using Forward Chaining Method
Sistem Pakar Rekomendasi Jurusan menggunakan Metode Forward Chaining
DOI:
https://doi.org/10.21070/ups.3725Keywords:
Expert System, Forward Chaining, Blackbox Testing, Major RecommendationAbstract
SMK Antartika 2 Sidoarjo provides instruction in seven different areas of competence. With so many choices of majors, it causes several problems in choosing majors, including not in accordance with interests, or not knowing their interests and potential. Expert Systems are one part of artificial intelligence that is created to help make decisions in solving problems like experts. This system is designed to assist new SMK students in determining the majors to be taken according to the talent interests of new students by providing department recommendations, based on the results of testing department recommendations in the system with the same results of determining the majors of interest resulting in a percentage of 90%. Based on black box testing that has been carried out on this system in accordance with what was expected by 40 respondents, the percentage of department recommendations was 89.33%, and ease of access was 93.33%.
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