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All Journal Phi : Jurnal Pendidikan Fisika dan Terapan JUPITER (Jurnal Pendidikan Teknik Elektro) CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Cyberspace: Jurnal Pendidikan Teknologi Informasi Djtechno: Jurnal Teknologi Informasi
Malahayati Malahayati
Universitas Islam Negeri Ar-Raniry Banda Aceh
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Physics Other

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Journal : Cyberspace: Jurnal Pendidikan Teknologi Informasi

 1 
IMPLEMENTASI SISTEM INFORMASI PENDUKUNG AKREDITASI BERBASIS WEB PADA PRODI TEKNOLOGI INFORMASI UIN AR-RANIRY Hendri Ahmadian; Ima Dwitawati; Malahayati Malahayati
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 3, No 2 (2019)
Publisher : UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (326.148 KB) | DOI: 10.22373/cj.v3i2.6309

Abstract

The supporting documents for accreditation forms are the most important part in the accreditation submission process. Otherwise the process of finding and collecting documents supporting accreditation forms are still done manually. This study aims to design the information systems which supports web-based accreditation in Department of Information Technology  UIN Ar-Raniry. The designing process refered to regulation of National Accreditation Board for Higher Education and followed the latest instrument in 4.0 version. The application has namely SIDASI 4.0. The research method of this study is the Rapid Application Development (RAD) process which uses the PHP programming language and MYSQL as database engine. SIDASI 4.0 can only be accessed by users who have already registered and obtained an account as username and password. The SIDASI 4.0 have support the accreditation submission phase as the digital documentation forms.
IMPLEMENTASI ALGORITMA NAIVE BAYES DAN RANDOM FOREST DALAM MEMPREDIKSI PRESTASI AKADEMIK MAHASISWA UNIVERSITAS ISLAM NEGERI AR-RANIRY BANDA ACEH Bustami Yusuf; Muthmainna Qalbi; Basrul Basrul; Ima Dwitawati; Malahayati Malahayati; Mega Ellyadi
CYBERSPACE: Jurnal Pendidikan Teknologi Informasi Vol 4, No 1 (2020)
Publisher : UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (231.132 KB) | DOI: 10.22373/cj.v4i1.7247

Abstract

Academic achievement is determined by two factors, namely internal factors originating from within the individual in this case students and external factors that come from outside the individual or things that are influenced by the environment. There are many ways to find an academic achievement, one of which uses data mining which aims to predict or classify data using a classification algorithm. This study aims to 1) find out how to apply the Naive Bayes algorithm to student achievement, and 2) see the accuracy of the Naive Bayes algorithm to student achievement. This type of research is secondary data in the form of student data obtained from the information technology center and the Ar-Raniry UIN database. This research uses Naive Bayes algorithm and random forest algorithm. The results obtained from this study indicate the highest correlation value in the initial IP variable of r = 0.783 and the leave variable has a very weak correlation level of r = 0.054. The accuracy value of Naive Bayes algorithm after cleaning is 78.0% and Random Forest algorithm variable is 76.7%.
Co-Authors Abrar Syahrul Fajri Anjar Purba Asmara Arika Dhien Sartika Aris Munandar Basrul Abdul Majid Basrul Basrul Bustami Yusuf Darul Fata Fathiah Fathiah Fathurrahman Fathurrahman Fitra Saputra Hadi Kurniawan Hari Anna Lastya Hendri Ahmadian Ima Dwitawati Irfan Murti Raazi Khairan AR Khairunnas Khairunnas Mawardi Mega Ellyadi Mira Maisura Mouliza Astari Muhammad Rizal Fachri Muhammad Zaki Fuadi Mulkan Fadhli Mursyidin Mursyidin Muthmainna Qalbi Nurhayati Nurhayati Radhiah Radhiah Rahmatul Ummiya Rezqi Malia Rina Umayya Umrah Hayani