Yusharsah, Aulia (2022) Pengklasifikasian Indeks Pembangunan Manusia Dengan Menggunakan Metode Support Vector Machine (SVM) Di Provinsi Sumatera Utara. Skripsi thesis, Universitas Islam Negeri Sumatera Utara.
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Abstract
The human development index in 2020 has face a progress eceleration of 0.04%. The reason is that the income per unit population has ecrease as a result of the COVID-19 pandemic. This stuy aims to aplly a classification metho that is use as implementation of the Human Development Index in Provinsi Sumatera Utara in 2020 and to understand the accuracy value generated y applying the Support Vector Machine method, namely the Kernel Radial Basic Function (RBF) which produces an accuracy value quited at 79.31% with parameters C = = = = 1, 0,25, 0,1, 0,5 and = 0,5
Jenis Item: | Skripsi (Skripsi) |
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Uncontrolled Keywords: | Indeks Pembangunan Manusia (IPM), Support Vector Machine (SVM), Radial Basic Functin (RBF) |
Subjects: | 500 Natural sciences and mathematics > 510 Mathematics |
Divisions: | Fakultas Sains dan Teknologi > Matematika > Skripsi |
Pengguna yang mendeposit: | Ms Nurul Hidayah Siregar |
Date Deposited: | 12 Jul 2023 08:02 |
Last Modified: | 12 Jul 2023 08:02 |
URI: | http://repository.uinsu.ac.id/id/eprint/19919 |
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