Rekomendasi Pemilihan Program Studi Menggunakan Support Vector Regression
نویسندگان
چکیده
Salah jurusan saat kuliah berdampak pada mahasiswa akan malas dan mendapat nilai yang kurang memuaskan. Jurusan seimbang dengan kemampuan mengakibatkan mengerti materi atau bahkan tidak menyukai perkuliahan diberikan. Maka sangat penting bagi seorang siswa untuk memilih sesuai bidang minat, bakat kemampuannya. Penelitian ini bertujuan memberikan rekomendasi program studi calon menggunakan metode Support Vector Regression skenario penelitian berdasarkan input data yaitu raport per semester mean mata pelajaran, kernel RBF, Polynomial, Linear. Hasil akurasi terbaik didapatkan ketika MAPE sebesar 5% MAE 0,16. Dan uji coba 10 sampel IPK tertinggi dari seluruh bahwa hasil 80% cocok asli. Wrong majors during college have an impact on students to be lazy and get unsatisfactory grades. Majors that are less balanced with student abilities result in not understanding the material or even liking lecture given. So it is very important for a choose major accordance areas of interest, talents abilities. This study aims provide recommendations prospective using method research scenarios based data, namely report card scores subject, Polynomial Linear kernels. The best accuracy results were obtained when value RBF kernel, which 0.16 MAE. And trial highest GPA samples from all programs, was found matched original 80%.
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ژورنال
عنوان ژورنال: IJCIT (Indonesian Journal on Computer and Information Technology)
سال: 2023
ISSN: ['2527-449X', '2549-7421']
DOI: https://doi.org/10.31294/ijcit.v7i2.14120