Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Website dengan Metode Simple Additive Weighting

*Razqa Lathif Pradana  -  Universitas Negeri Semarang, Indonesia
Dwi Purwanti  -  Universitas Negeri Semarang, Indonesia
Arif Arfriandi  -  Universitas Negeri Semarang
Received: 23 Jan 2018; Published: 30 Apr 2018.
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Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Dengan Menggunakan Metode Simple Additive Weighting (SAW) di SMP Negeri 22 Surakarta
Subject Pemilihan Siswa Berprestasi, Simple Additive Weighting, Sistem Pendukung Keputusan
Type Research Results
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Abstract

Generally, the selection of outstanding students in every school still uses the report value as the reference and it is done manually. It is required a system that may select the outstanding students accordance with the criteria and done automatically. In this study, it was developed an automatic system for selecting outstanding students by using Simple Additive Weighting (SAW) concept. The criteria set by the school in the selection of outstanding students are the average of the first and the second semester score, the achievements on district, city, and national level, liveliness in the organization and extracurricular, and credit point of attitude. Method of investigation used in this study is R & D, including introduction study, the development of system consisting of the application of SAW method and designing waterfall method, and testing of system which done by testing the comparison of the result and respond of users. The result of black box testing showed that all functionality in the system run well and appropriate; while for the white box showed that all paths run in accordance with SAW method. For the result of the comparison testing showed that the validation level was 100%. The result of the users respond revealed that the average of teacher responds was 90% and the students respond was 80, 34%. Therefore it can be concluded that decision support system by using SAW method can determine the outstading students.

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Keywords
selection of outstanding students, simple additive weighting, decision support system.

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