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All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA
M. Fakhriza M. Fakhriza
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Computer Science & IT

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PERANCANGAN APLIKASI KEAMANAN FILE AUDIO FORMAT WAV (WAVEFORM) MENGGUNAKAN ALGORITMA RSA Heri Santoso; M. Fakhriza M. Fakhriza
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 2, No 1 (2018): April 2018
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (676.395 KB) | DOI: 10.30829/algoritma.v2i1.1615

Abstract

WAV file is a standard format that is widely used in multimedia and games on various platforms. Ease of access and development of technology with various media making it easier to exchange information to various places. Both important and confidential data need to be kept confidential because of various security threats so that data can be tapped and known by third parties during the submission process. One method of data security is cryptography using a public key algorithm that is poluler is RSA (Rivest Shamir Adleman). From these problems raised the idea to create a data security application whose function can perform data security using RSA algorithm. The programming language used is C # with Visual Studio software, the data being processed is a sample of each byte in a WAV file, the header will be the same as the beginning so that the WAV file can be played even if the information is disguised. RSA algorithms can be implemented into programming languages so that WAV files can be processed and secured data. Although the results of WAV file size after encryption becomes larger depending on the key used by existing information can be disguised properly.
ANALISIS JARINGAN SYARAF TIRUAN UNTUK MENGETAHUI PENYEBAB DROP OUT PADA MAHASISWA M. Fakhriza M. Fakhriza; Heri Santoso
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 2, No 1 (2018): April 2018
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.684 KB) | DOI: 10.30829/algoritma.v2i1.1616

Abstract

Drop-out is a form of failure to follow the students in the educational process at university. The number of students drop out in addition detrimental to the personal / individual, it is also detrimental to higher education institutions themselves. Therefore, it is necessary to study to find the causes or factors that affect student drop-out so it can be useful information for success in higher education. Methods backpropagation artificial neural network is a mathematical model that is used for the identification and classification based training and learning is done. In this study, backpropagation artificial neural network method used in identifying factors - factors causing the drop-out experienced by the students by making learning of the data - the data attributes of students drop out. Backpropagation artificial neural network implementation is done in this study produces good results where backpropagation artificial neural network can produce factors that cause dropouts appropriate to attribute a given student. Keywords: Artificial Intelligence, Artificial Neural Network, Backpropagation
Co-Authors Heri Santoso