SISTEM PENDUKUNG KEPUTUSAN BERBASIS ANDROID UNTUK MENENTUKAN KELAYAKAN SISWA PENERIMA REWARD MENGGUNAKAN METODE WEIGHTED PRODUCT

SANDIANTARA, NOVANDA (2020) SISTEM PENDUKUNG KEPUTUSAN BERBASIS ANDROID UNTUK MENENTUKAN KELAYAKAN SISWA PENERIMA REWARD MENGGUNAKAN METODE WEIGHTED PRODUCT. Skripsi thesis, Institut Teknologi Dirgantara Adisutjipto.

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Abstract

ina Harapan Sleman Vocational High School has two majors, namely Computer and Network Engineering and Oil Drilling Engineering. An increase in the quality of teaching and learning both academically and non-academically is increasingly advanced in SMK Bina Harapan, will add to the student motivation to get a reward. Rewards will be given to students based on criteria set by the teachers. There are four criteria used to determine the rewards, namely report card grades, absences, extracurricular, and attitude. Criteria are then processed using an Android-based decision support system application. Decision support system applications used to determine students who deserve a reward processed using the Weighted Product method. Then alternative data used is the 12th grade SMK Bina Harapan students, amounting to 35 students. The results of the system and manual processing are in accordance with the results of manual calculations, the highest vector V is owned by Veni Nur Aviani with a value of 0.03263 and the lowest is owned by Muhammad Alif Nur I with a value of 0.01901.

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