Open AccessPenentuan Tes Kepribadian Calon Mahasiswa Berdasarkan Sidik Jari Menggunakan Minutie dan Support Vector Machine
Author(s) -
Lukman Hakim
Publication year - 2020
Publication title -
journal of applied informatics and computing
Language(s) - English
Resource type - Journals
ISSN - 2548-6861
DOI - 10.30871/jaic.v4i1.1883
Subject(s) - support vector machine , personality psychology , personality , artificial intelligence , computer science , pattern recognition (psychology) , fingerprint (computing) , identification (biology) , cluster analysis , uniqueness , psychology , social psychology , botany , biology
Every human being is given its own uniqueness by an almighty god, one of which is a part of the body organs such as the fingerprint pattern of the hand, the fingerprint pattern of each human being determines personality, this can be known from many previous studies, which use fingerprints or someone's detection by the police to capture the perpetrators with the biometry approach in the form of footprint fingerprint records attached to other objects. Determination of a person's personality can be known through fingerprints, and also can adjust prospective students in choosing the study program correctly. Fingerprint student personality identification application provides convenience in determining the choice of prospective students of the study program. The minutie method and the Support Vector Machine algorithm are used in clustering personalities according to training data in the application. The minutie test on the fingerprint pattern shows 100% compatibility, with a precision input image source. SVM algorithm in testing reached 80,9% in grouping personality types accordingly.