Optimasi Fungsi Keanggotaan Fuzzy Mamdani Menggunakan Algoritma Genetika Untuk Penentuan Penerima Beasiswa
DOI:
https://doi.org/10.12928/jstie.v8i2.14846Keywords:
Decision Support System, Scholarships, Fuzzy Mamdani, Genetic Algorithms, Spearman CollationAbstract
Beasiswa merupakan bantuan pendidikan yang ditujukan untuk meringankan biaya pendidikan sekaligus membantu memperbaiki tingkat pendidikan bangsa. Saat ini banyak beasiswa yang ditawarkan kepada mahasiswa yang kurang mampu dan mahasiswa berprestasi. Untuk mengantisipasi agar beasiswa tersalurkan kepada yang berhak maka diperlukan suatu system mengambil keputusan yang berdasarkan pada enam kriteria utama yaitu Index Prestasis Komulatif (IPK), semester, penghasilan orang Tua, tagihan listrik, pembayaran PBB dan tanggungan orang tua. Pemanfaatan sistem pengambilan keputusan dalam menyelesaikan masalah ketidak tepatan sasaran dalam menentukan penerima beasiswa pada STMIK Surya Intan Kotabumi dengan menggunakan Metode Fuzzy Mamdani dan Metode Algoritma Genetika. Tujuan penelitian ini untuk menerapkan metode Fuzzy Mamdani dan Algoritma Genetika serta mengukur tingkat akurasi metode Fuzzy Mamdani tanpa optimasi dengan metode Fuzzy Mamdani yang teroptimasi menggunakan Algoritma Genetika berdasarkan kriteria- kriteria yang telah ditentukan. Hasil dari penggunaan kedua metode tersebut dengan membandingkan antara metode Fuzzy Mamdani tanpa optimasi sebesar 0,8801 dengan metode Fuzzy Mamdani yang teroptimasi menggunakan Algoritma Genetika sebesar 0,9172 yang diukur menggunakan kolerasi spearman sehingga disimpulkan bahwa penggunaan algoritma genetika dapat mengoptimalkan tingkat kolerasi sebesar 0,0371.References
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