The aim of this study is to develop an Augmented Reality application with marker-based tracking that use for Canang education. This application was developed with waterfall model. Data collection technique that I use in this study is surveys, interview and literature review. This application can pop up information about types of Canang, when you use that types, and an example picture of the Canang. This application use vuforia software development kit (SDK) for combine the reality object and virtual object use for smartphone with QR Code. The design for information and example picture of Canang is built in Adobe Illustrator and made to Augmented Reality in Unity. Method that use in this study is Marker Based Tracking which identifies marker patterns. This application applies multi-target marker-based Augmented Reality so that each type of Canang information is stored and ran on different markers. This application can be medium for education about Canang in general for Hindusm teen.

ABSTRACT<br />Practical work is one of the systematic and synchronous implementation of the campus education<br />program with the skills acquistion program obtanied through direct work activities in the<br />workforce to achieve a certain level of expertise. The process of registration and reporting the<br />implementation of practical work in the information systems studi program is still done manually.<br />Based on this the authors make a practical work information system management based on the<br />study program of the unversity information system Dhyana Pura. For the creation of website<br />applications built using the programming language HTLM, PHP and MySql database. For system<br />design using DFD(<br />data flow diagram)<br />. From the result of making that with existence of<br />information system of practical work management is expected to help student of study program of<br />information system.<br />Key Word : Information System Management, Practical Work, Website<br />ABSTRAK<br />Praktek Kerja Lapangan <br />(<br />PKL<br />)<br /> merupakan salah satu bentuk implementasi secara sistematis dan<br />sinkron antara program pendidikan di kampus dengan program penguasaan keahlian yang<br />diperoleh melalui kegiatan kerja secara langsung didunia kerja untuk mencapai tingkat keahlian<br />tertentu. Proses pendaftaran dan pelaporan pelaksanaan Praktek Kerja Lapangan<br />(<br />PKL<br />)<br /> di Prodi<br />Sistem Informasi masih dilakukan secara manual. Berdasarkan hal tersebut penulis membuat<br />Sistem Informasi Manajemen Praktek Kerja Lapangan Berbasis Website Pada Program Studi<br />Sistem Informasi Universitas Dhyanapura Bali. Untuk pembuatan aplikasi website dibangun<br />dengan menggunakan Bahasa pemrograman HTML, PHP dan database MySOL. Untuk<br />perancangan sistem menggunakan DFD <br />(<br />Data Flow Diagram<br />)<br />. Dari hasil pembuatan tersebut,<br />bahwa dengan adanya sistem informasi manajemen praktek kerja lapangan ini diharapkan dapat<br />membantu mahasiswa program studi sistem informasi dalam pelaksanaan peraktek kerja lapangan.<br />Kata Kunci : Sistem Informasi Manajemen, Praktek Kerja Lapangan, Website.

Data theft using malware attacks in this digital era can attack smartphones and cloud servers, in 2018 there was the theft of photos belonging to Aryono Huboyo Djati. Theft can be prevented by applying cryptographic techniques. The purpose of this study was to determine the ability to combine Logistic Map and Henon Map in image encryption and decryption. These two theories were chosen because they are sensitive, with a small change in the input value will have a very significant impact on the output value. First step is changing the image into a matrix and randomizing using the Logistic Map algorithm and then continuing with the XOR process for each pixel bit using the Henon Map algorithm. in this study the encrypted image obtained an average MSE value exceeding 400 and the average PSNR value less than 10dB, this indicates that the cipher image is different from the plain image, and the decryption results show the average MSE value is 0 and the average PSNR value average is 100, this indicates that there is no difference between the description image and the original image

At this time the use of social media from time to time has experienced rapid development, one of which is the social media twitter. Twitter social media has many benefits such as making tweets about daily activities. However, Twitter social media has a negative side in its use, one of which is online prostitution. Prostitution is an act of cyber crime that violates the rules and norms that exist in society. Therefore, to overcome these cyber crimes, the necessary action is to review online prostitution on Twitter social media. In this study, a digital forensic analysis was conducted on Twitter social media on smartphones related to acts of prostitution using the National Institute of Justice (NIJ). Based on the research conducted, digital evidence is obtained that can be accounted for by the perpetrators.

In this study, feature selection was also carried out using the information gain method, the result of feature selection improve the performance of DDoS attack detection against the Naive Bayes Classifier classification algorithm. The results obtained in this study are system testing on the results of the comparison of data performance that has been selected using 17 features and without the application of information gain feature selection using 43 features of course different, there are superior results from the application of Information Gain feature selection with an average accuracy value of 75.81 %, while the results obtained without the application of feature selection are 75.57%. The average precision level system performance using 17 features is 91.61%, while average precision result using 43 features is 92.20%. For the average recall value using 17 features, it is 57.63%, and results recall uses 43 features by 57.31%. In terms of execution time, the time required to execute the program using 17 features is faster and more effective, namely 89.17 seconds, while the program execution time using 43 features is longer, namely 205.34 seconds.