Metode Topsis Sistem Pendukung Keputusan Penentuan Siswa/Siswi Berprestasi di SMP XX

The TOPSIS method in the Decision Support System for Determining Outstanding Students at SMP XX explains that this method is used to select alternatives (students) who have the closest distance to the positive ideal solution and the furthest from the negative ideal solution. This method considers criteria such as academic grades, activeness in extracurricular activities, and disciplinary attitudes. By implementing TOPSIS, it is hoped that objective and accurate decisions can be made in determining outstanding students. The TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method was chosen because of its reliability in overcoming complexity and uncertainty in multi-criteria decision making. Eka got a preference value of 0.31144246, Elsa got a preference value of 0.62095919, Frits got a preference value of 0.80287008, and Ninik got a preference value of 0.38000306. With the results of these preference values, it can be determined that Frits gets rank 1, Elsa gets rank 2, Ninik gets rank 3, and Eka gets rank 4.

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Publication Details

Journal
Jurnal Publikasi Manajemen Informatika
Published
2024-12-30
DOI
https://doi.org/10.55606/jupumi.v3i3.3713
Primary Topic
STEM Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Metode Topsis Sistem Pendukung Keputusan Penentuan Siswa/Siswi Berprestasi di SMP XX

Julizal Julizal, Irnawati Irnawati
Jurnal Publikasi Manajemen Informatika
STEM Education
article

Metode Topsis Sistem Pendukung Keputusan Penentuan Siswa/Siswi Berprestasi di SMP XX

Julizal Julizal, Irnawati Irnawati
article en

Abstract

The TOPSIS method in the Decision Support System for Determining Outstanding Students at SMP XX explains that this method is used to select alternatives (students) who have the closest distance to the positive ideal solution and the furthest from the negative ideal solution. This method considers criteria such as academic grades, activeness in extracurricular activities, and disciplinary attitudes. By implementing TOPSIS, it is hoped that objective and accurate decisions can be made in determining outstanding students. The TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method was chosen because of its reliability in overcoming complexity and uncertainty in multi-criteria decision making. Eka got a preference value of 0.31144246, Elsa got a preference value of 0.62095919, Frits got a preference value of 0.80287008, and Ninik got a preference value of 0.38000306. With the results of these preference values, it can be determined that Frits gets rank 1, Elsa gets rank 2, Ninik gets rank 3, and Eka gets rank 4.

Jurnal Publikasi Manajemen InformatikaVol. 3(3)
Universitas Indraprasta PGRI (ID)
Openalex Percentile: Top 59%
STEM Education
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