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All Journal Jurnal Mantik Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Dian Maya Sari
Universitas Potensi Utama
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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Implementation of Artifical Neural Networks with Multilayer Perceptron for Analysis of Acceptance of Permanent Lecturers Hartono Hartono; Muhammad Sadikin; Dian Maya Sari; Nur Anzelina; Silvia Lestari; Wulan Dari
Jurnal Mantik Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.Vol4.2020.954.pp1389-1396

Abstract

Lecturer acceptance selection is the first step in building an education. The Multilayer Perceptron method can be applied in the case of permanent lecturer admissions. The problem faced in the admission of permanent lecturers is that reception is still subjective. This research will prove the ability of the Multilayer Perceptron algorithm to classify eligibility as a lecturer or not. Inputs from this study were prospective applicants' data, namely age, grade point average (GPA), written test score, interview value, and home base status. Sample data amounted to 100 data. 75% of the data is used as training data, and 25% as test data. The test results of the accuracy of the data are known that the multilayer perceptron neural network method has an accuracy rate of 98.7% and with a ROC Area value of 0.989. This proves that the application of the model used belongs to the classification category very well because it has a ROC value between 0.90-1.00.
Implementasi Vigenere Cipher dalam Mengenkripsi Pesan Raden Aris Sugianto; Wulan Dari; Dian Maya Sari; Anton Purnama
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 2 No. 4 (2024): Oktober : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v2i4.1661

Abstract

Messages require high security in the exchange process because the message is confidential and may only be read by the intended recipient. Information security problems in messages are often encountered, such as active eavesdropping, passive eavesdropping, fraud and data manipulation by unauthorized parties. To overcome this problem, cryptography can be used. This research uses cryptographic techniques with the Vigenere Cipher method to encrypt messages. The aim of this research is to encrypt messages to produce codes that will be sent to the recipient. The encryption process is carried out using the Vigenere Cipher method in the Python programming language. The researcher implemented a program to encrypt the message. The research results show that messages can be protected more strongly and securely. So, if the message is hijacked or intercepted by irresponsible parties, it will be difficult for them to find out the contents of the message. In this way, the confidentiality and authenticity of the message is maintained until it reaches the recipient.
Co-Authors Anton Purnama Hartono Hartono Muhammad Sadikin Nur Anzelina Silvia Lestari Wulan Dari