SISTEM PENDUKUNG KEPUTUSAN KEIKUTSERTAAN SNMPTN PADA SISWA SMAN 18 JAKARTA MENGGUNAKAN ALGORITMA FUZZY TSUKAMOTO
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Institusion
Universitas Pembangunan Nasional Veteran Jakarta
Author
Anggun Windari Oktavia, .
Subject
Q Science (General)
Datestamp
2021-12-21 07:56:56
Abstract :
Participation in SNMPTN (National Selection for State Universities) is determined by the school. SNMPTN participation is only determined based on grades from semester 1 to semester 5. Based on the LTMPT rules that SNMPTN participation can be determined based on achievements and other scores that can support the selection. In this study added criteria in determining the participation of SNMPTN in accordance with the rules. The purpose of this research is to produce a decision support system that will be used in determining student participation in SNMPTN. The Fuzzy Tsukamoto method is used in determining SNMPTN participation using threevariables input fuzzy, namely knowledge, achievement, and skills and onevariable, output fuzzynamely participation. The result of this research is a web-based decision support system. Based on the results of testing on student data using the Fuzzy Tsukamoto algorithm, this system produces an accuracy value of 82%, specificity 93%, and recall 73%. The Fuzzy Tsukamoto algorithm can be used in determining the participation of SNMPTN students at SMAN 18 Jakarta, but its performance still needs to be improved.
Participation in SNMPTN (National Selection for State Universities) is determined by the school. SNMPTN participation is only determined based on grades from semester 1 to semester 5. Based on the LTMPT rules that SNMPTN participation can be determined based on achievements and other scores that can support the selection. In this study added criteria in determining the participation of SNMPTN in accordance with the rules. The purpose of this research is to produce a decision support system that will be used in determining student participation in SNMPTN. The Fuzzy Tsukamoto method is used in determining SNMPTN participation using threevariables input fuzzy, namely knowledge, achievement, and skills and onevariable, output fuzzynamely participation. The result of this research is a web-based decision support system. Based on the results of testing on student data using the Fuzzy Tsukamoto algorithm, this system produces an accuracy value of 82%, specificity 93%, and recall 73%. The Fuzzy Tsukamoto algorithm can be used in determining the participation of SNMPTN students at SMAN 18 Jakarta, but its performance still needs to be improved.
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