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All Journal InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Query : Jurnal Sistem Informasi JISTech (Journal of Islamic Science and Technology) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Pengabdian kepada Masyarakat Nusantara Djtechno: Jurnal Teknologi Informasi Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) EXPLORER Prosiding Snastikom Jurnal ABDIMAS Budi Darma PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer Prioritas : Jurnal Pengabdian Kepada Masyarakat
Haida Dafitri
Universitas Harapan Medan
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : Prosiding Snastikom

 1 
Implementasi Root Mean Square Error Untuk Melakukan Prediksi Harga Emas Dengan Menggunakan Algoritma Multilayer Perceptron Yunita Shara Lubis; Andi Marwan Elhanafi; Haida Dafitri
SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI Vol. 1 No. 1 (2021): Prosiding Snastikom 2021
Publisher : Universitas Harapan Medan

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Abstract

Multilayer Perceptron is an artificial neural network that can be used to predict gold prices. This research will produce a combination of parameters, namely the error threshold, learning rate 1 and learning rate 2 which are used in the training data process, which has quite an effect on the resulting error value. From the results of the combination of parameters and testing with the Multilayer perceptron algorithm shown in Figure 4.2, the smallest error value at layer 3 is 54262,375, which is obtained from the learning rate 1 parameter is 0.5, learning rate 2 is 1, learning rate 3 is 1.5. while the largest error value is 46023.9375. The results of the Multilayer Perceptron algorithm in forecasting gold prices can run well, which shows that the model from the implemented training and testing data can predict gold prices.
Analisis Kinerja Sistem Kripto kompresi Pada File Dokumen Dengan Algoritma Asimetris RSA dan Even Rodeh Code Imam Prayoghi; Imran Lubis; Haida Dafitri
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (555.316 KB)

Abstract

The document files are electronic data that are often used to store information that is personal or confidential, therefore it is necessary to take action to keep the information accessible only to the owner of the data. In addition to the security aspect, the thing that needs to be considered is also about storage memory. Therefore, additional steps are needed to streamline the storage media and speed up the transmission process by compressing it first so that its size becomes smaller. In this study, will combine cryptography and compression techniques using the RSA algorithm for the purpose of securing data, then compressed using the Even Rodeh Code algorithm to reduce the size of the data. This research produces an application that can be used as an alternative solution in maintaining the confidentiality of document file data so that it can only be accessed by the data owner and can save the need for data storage space to be more efficient. The test results show that different test file sizes produce different Compression Ratio (CR), Space Savings (SS) and RT (Running Time) calculation values as well. The larger the size to be compressed, the larger the size that can be reduced or the greater the storage space that can be saved. While the RT results have increased in value constantly along with changes in the size of the test file used. This means that the larger the size of the test file to be compressed, the longer it will take to compress it
Co-Authors Abdul Jabbar Lubis Ade Putri Humaira Alwi Aulia Andi Marwan Elhanafi Arief Budiman Arnes Sembiring Asih, Munjiat Setiani Diana Suita Dodi Siregar Elpridayanti Saragih Erwin Panggabean Fakhrana Nadhila Imam Prayoghi Liza Fitriana M Tuahoryanda Tarigan Marina Elsera Muhammad Al Hafis Nst Muhammad Fitra Abdillah Muhammad Hafiz Al Hakim Muhammad Ridho Nur Wulan Rachmat Aulia Rahman, Sayuti Rini Ida Astuti Risko Liza Septiana Dewi Andriana, Septiana Dewi Siti Sundari Sumi Khairani Tengku Mhd Diansyah Yogi Pratama Yunita Shara Lubis