This Author published in this journals
All Journal SIGNIFIKAN Millah: Jurnal Studi Agama Jurnal Unisia TEKNIK METANA Indonesian Journal of Economics and Bussiness Jurnal Kedokteran Hewan JURNAL TEKNOLOGI LINGKUNGAN Jurnal Konseling dan Pendidikan International Journal on Advanced Science, Engineering and Information Technology AL KAUNIYAH Legal Opinion Jurnal Simetris CHEMICA Jurnal Teknik Kimia PREDIKSI Jurnal Online Mahasiswa (JOM) Bidang Keguruan dan Ilmu Pendidikan Jurnal Inovasi Teknologi Pendidikan Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan JURNAL ILMU BUDAYA JAKPP : Jurnal Analisis Kebijakan & Pelayanan Publik KAREBA : Jurnal Ilmu Komunikasi Jurnal Sistem dan Teknologi Informasi (JustIN) Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Jurnal Taman Vokasi Jurnal Ilmiah Universitas Batanghari Jambi Turbo : Jurnal Program Studi Teknik Mesin Risâlah, Jurnal Pendidikan dan Studi Islam Faktor Exacta Majalah Ilmiah Biologi BIOSFERA: A Scientific Journal Jurnal PGSD: Jurnal Ilmiah Pendidikan Guru Sekolah Dasar Jurnal Riset Pendidikan Dasar Jurnal Masyarakat Mandiri - JMM Linguistics and Elt Journal Jurnal Ilmiah Mahasiswa Fakultas Ilmu Sosial & Ilmu Politik Jurnal Ilmu Kesehatan Masyarakat JURNAL PENDIDIKAN TAMBUSAI Jurnal POLIMESIN Jurnal Psikologi Sosial ComTech: Computer, Mathematics and Engineering Applications Jurnal Teknologi Pertanian Andalas SAP (Susunan Artikel Pendidikan) Ekonis: Jurnal Ekonomi dan Bisnis AJAR : Atma Jaya Accounting Research SIMAK : Jurnal Sistem Informasi, Manajemen, dan Akuntansi
Articles

Found 1 Documents
Search
Journal : SAP (Susunan Artikel Pendidikan)

Komparasi Algoritma Multilayer Perception dan Support Vector Machine dalam Pemilihan Beasiswa

SAP (Susunan Artikel Pendidikan) Vol 2, No 1 (2017): SAP
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Original Source | Check in Google Scholar | Full PDF (561.528 KB)

Abstract

A smart and intelligent generation is needed to develop a Nation and State. One of important factors to create this generation is education. However, there are still many students with great skill and potential who can not continue their study at school because they are financially disadvantaged. Fortunately, there are also many of them who earn scholarship. Yapimda has donation both from the government in the form of BOS (School Operational Aid) and from other parties. Yet, there is no exact measurement to determine the eligibility of students to be awarded scholarship. In education environment, especially at school, there must be some regulations or classifications in determining students to be given scholarship. Therefore, this research conducts an algorithm comparison between Multilayer Perceptron (MLP) and Support Vector Machine (SVM) to be applied to the data of students receiving scholarship. The purpose of the research is to measure the accuracy level of 2 algorithms compared in selecting potential recipients of scholarship in SMK YAPIMDA Jakarta. The test result by measuring the performance of the two algorithms using a Cross Validation test method, Confusion Matrix and ROC Curve, shows that algorithm of Multilayer Perceptron (MLP) has the highest accuracy of 85.82%, while algorithm of Support Vector Machine (SVM) has the lowest accuracy of 83.98 %.