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Journal : Jurnal Mantik

Film Recommendation System with Social-Union Algorithm: Film Recommendation System with Social-Union Algorithm Bayu Angga Wijaya; Amar Nugraha; Juandry Juandry; Jimy Okinawa; Jovan Kinoto
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.Vol4.2020.932.pp1278-1284

Abstract

A Recommendation System applies several classic Collaborative Filtering (CF) methods. Some CF methods are combined with social networks, for instance Fusing ESR, Social Regularization, and Trust-Aware. Nonetheless, these three methods are not able to be developed if they are integrated with other types of implicit or explicit relationships. Their selection of parameter weights is not optimal enough when it combines preferences between users from the two types of relationships into one. Usually, a group of friends will be similar in terms of interest and preference for an item. The similarities between users will increase the accuracy of the prediction results. The selection of parameter weights can be done manually or automatically through the calculation of global and local density coefficients so the determination of parameter weights will be optimal. Therefore, the Social-Union (SU) method proposed in this research use that method to overcome the problems from previous research. The result of this research is a website that applies the Social-Union method and let the user get recommendations that depend on the value of the parameter a.
Implementation of Genetic Algorithm in Making a Covid-19 Vaccination Schedule K. Dilpani Laksmi; Bayu Angga Wijaya; Desniari Gea
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

At the end of 2019, the World was attacked by a very deadly virus. Starting from the city of Wuhan in China, this virus began to grow and attack the world and became a pandemic. Until now the world is still being attacked by this pandemic. Various experts in this world took turns looking for a solution to this problem. Various studies and studies were carried out to find a way out and treatment. In the middle of 2020, research began to be intensively carried out to make a covid 19 vaccine. In doing things that are quite complicated, of course we need the help of technology to do it. In this case, we can use an algorithm in scheduling the covid 19 vaccination. In this regard, this study would like to discuss the application of genetic algorithms in making the covid 19 vaccination schedule. The genetic Algorithm was chosen because it can use many variables in its application compared to the FIFO method. The FIFO method is indeed simpler, the first to register will be scheduled, but to support more variables it is more efficient to use Genetic Algorithms. The use of genetic algorithms in this study was to find solutions and apply them to the program to schedule the covid 19 vaccination. genetics in scheduling accurate and effective COVID-19 vaccinations.
Steganography Text Message Using LSB and DCT Methods Bayu Angga Wijaya; Adrian Julio Manalu; Bayu Andreas Tarigan; Lovely Septian Silitonga
Jurnal Mantik Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Advances in human thinking patterns make people realize that information technology is an important part of civilization. In line with the development of information technology, many parties are not responsible for committing crimes such as theft and falsification of information from data. These problems can be overcome using a variety of methods and techniques, one of which is steganography. Steganography is a technique of hiding confidential data in a digital (media) container so that the existence of the secret data is difficult to know by irresponsible people or parties. The purpose of this study is to provide a solution to the problem of hiding messages into images using two different steganographic methods, namely LSB and DCT, then both methods will be tested for their efficiency. In this study, it was concluded that the PSNR value for LSB steganography was 8.887, and the MSE value was 104.85. On the other hand, DCT Steganography got a PSNR of 83,728, and an MSE value of 0.0592. From the PSNR and MSE test results, it can be concluded that the better image quality comes from DCT Steganography, this is because, in processing DCT images, the author must convert the images first, then can encode, but this conversion is not done on the LSB method.