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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Ilmiah KOMPUTASI Faktor Exacta Jurnal Informatika Universitas Pamulang STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Journal of Information System, Applied, Management, Accounting and Research Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Community Engagement and Emergence Journal (CEEJ) JIKA (Jurnal Informatika) Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Tridharmadimas: Jurnal Pengabdian Kepada Masyarakat Jayakarta Kapas: Kumpulan Artikel Pengabdian Masyarakat Jurnal Kabar Masyarakat Pandawa : Pusat Publikasi Hasil Pengabdian Masyarakat Darma Cendekia Harmoni Sosial : Jurnal Pengabdian Dan Solidaritas Masyarakat Indonesian Journal of Innovation Science and Knowledge Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Edusight Jurnal Pengabdian Masyarakat (EduJPM) Jejak digital: Jurnal Ilmiah Multidisiplin
Lusi Ariyani
Universitas Indraprasta PGRI
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : faktor exacta

 1 
KAJIAN PENERAPAN MODEL C45, SUPPORT VECTOR MACHINE (SVM), DAN NEURAL NETWORK DALAM PREDIKSI KENAIKAN KELAS LUSI ARIYANI
Faktor Exacta Vol 9, No 1 (2016)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (595.966 KB) | DOI: 10.30998/faktorexacta.v9i1.743

Abstract

. Evaluation of the result from student’s studies could be an expectation for the student to go to the next step to continue the next grade at vocational high school. Too many subject ate to be done by students. From the result of the subject which being tested, school can get the average, then school will decided their students can continue to the next grade or not. The prediction for decided about students can go to the next grade or not till this time still in manual and data takes by the result from the end of semester. All predection almost the same with classification which will happen in the future it can be a constraint for the school to manage the rank to solve how to decided about the rank level for the student. The constraint can be solved with analysis which using 3 algorithm C45, algorithm Support Vector Machine and Neural Network. From the result of the research with analysis three of them we’ll know that algorithma Support Vector Machine have high in accuration. Then we can use in class to solve the predection problem abaout students up to the next grade. Keywords: the students, next grade, Algorithm C45, Algorithm Support Vector Mechine, Neural Network.
Co-Authors Achmad Sarwandianto Alusyanti Primawati Aqli, Muchamad Rosiful Arief Hidayat Aswin Fitriansyah Aswin Saputra ayudina, Nia Barkah, Januar Dyah Rhetno Wardhani Eva Dwi Afriyanti Fatah, Kamal Al Firdaus Budhy Saputro Gintan Dwi Anggraini Hary Mochamad Saputro Heru Sulistiono Ika Mei Lina Laksana Priyo Abadi Lucky Adnin Pratama Luh Putu Widya Adnyani Mardiyati, Sri - Miftahul Jannah Muhamad Irsan Muhammad Galih Adiwibawa Muhammad Ilham Insani Muhammad Naufal, Muhammad Muhammad Reza Munasiah Munasiah Musa Jaya Naza, Adam Abdul Noni Selvia Pujiastuti Pujiastuti, Pujiastuti Pujiyanto, Rahmat Rahmatullah Rahmatullah Septo Eryosanda Siti Suaedah Sri Mardiyati Sri Melati Sagita Suranto Saputra Syahdan, Muhammad Rafli Wahyu Arif Rahman Wahyu Utama Widjajanto, Tulus Windi Kartika Ningsih Wulandari, Wita