Higher Education Quality Assurance System Based Artificial Intelligence

Abstract

Of the 4,680 universities in Indonesia, there are still many accredited universities with a C rank of 1283, A rank is still low, namely 96 and 2421 not accredited. Higher education has difficulty and is very burdened with the accreditation process because the entire process is done manually and problems in quantitative forms are very often encountered. In line with the current problems faced by universities in Indonesia, the concept of an artificial intelligence-based internal quality assurance system is proposed. The results of digital data recordings from the internal quality assurance system and the information system center are carried out by a clustering process using the K-Means algorithm and calculating the weight of each criterion using template matching for the process of matching the weighting results to the target. With this system, all academic and non-academic elements in higher education can be improved, evaluated periodically