Skripsi/Tugas Akhir
Komparasi Weighted Product, Simple Additive Weighting, dan Multiobjective Optimization by Ratio Analysis untuk Beasiswa Lanny Jaya Cerdas
ABSTRAK
Pemerintah daerah kabupaten Lanny Jaya memberikan bantuan beasiswa kepada mahasiswa dan mahasiswi Lanny Jaya melalui program Lanny Jaya Cerdas dengan tujuan untuk memotivasi mahasiswa dan mahasiswi Lanny Jaya agar semangat dalam belajar dan mendapatkan banyak prestasi. Proses seleksi penerima beasiswa Lanny Jaya Cerdas pada Asrama Lanny Jaya dilakukan dengan metode tunjuk langsung tanpa memperhatikan kriteria-kriteria penilaian yang sudah ditentukan, sehingga bisa terjadi kekeliruan dalam proses seleksinya. Masalah ini dapat diatasi dengan mengimplementasikan metode-metode Multi Attribute Decision Making (MADM), di mana metode yang digunakan dalam penelitian ini yaitu Weighted Product, Simple Additive Weighting dan Multi-Objective Optimization by Ratio Analysis. Data yang digunakan berjumlah 35 data mahasiswa Lanny Jaya, dengan atribut penilaian yaitu indeks prestasi sementara, biaya study, penghasilan orang tua, dan jumlah tanggungan orang tua. Melaui uji sensitivitas, metode Simple Additive Weighting dipilih sebagai metode terbaik karena memiliki nilai sensitivitas tertinggi yaitu 0.103214%.
Kata Kunci: Lanny Jaya Cerdas, Weighted Product, Simple Additive Weighting, Multi-Objective Optimization by Ratio Analysis
ABSTRACT
The local government of the Lanny Jaya district provides scholarships to Lanny Jaya students through the Lanny Jaya Cerdas program with the aim of motivating Lanny Jaya students to be passionate about learning and getting lots of achievements. The selection process for Lanny Jaya Cerdas scholarship recipients at the Lanny Jaya Dormitory is carried out using the direct appointment method without regard to predetermined assessment criteria, so that mistakes can occur in the selection process. This problem can be overcome by implementing Multi Attribute Decision Making (MADM) methods, where the methods used in this research are Weighted Product, Simple Additive Weighting and Multi-Objective Optimization by Ratio Analysis. The data used amounted to 35 data from Lanny Jaya students, with assessment attributes namely temporary grade point averages, study fees, parents' income, and the number of parents' dependents. Through a sensitivity test, the Simple Additive Weighting method was chosen as the best method because it has the highest sensitivity value of 0.103214%.
Keywords: Lanny Jaya Cerdas, Weighted Product, Simple Additive Weighting, Multi-Objective Optimization by Ratio Analysis
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