Antivirus : Jurnal Ilmiah Teknik Informatika

DATA SECURITY SCHEME WITH A COMBINATION OF ADVANCED ENCRYPTION STANDARD (AES) AND RIVEST SHAMIR ALDEMAN (RSA) ALGORITHMS

Hedy Sholihat Ruhaedi, Alam Rahmatulloh — Fri, 15 Nov 2024 00:00:00 +0700

The rapid development of data drives the need for security in the data transmission process, with the aim of preventing access by unwanted parties to view the contents of the data sent. In order to achieve an optimal level of security, one of the strategies used is the application of cryptography. Cryptography using the Advanced Encryption Standard (AES) and Rivest Shamir Adleman (RSA) algorithms separately has often been used to protect the security of messages, whether in the form of text or digital images. This research will utilize a combination of the AES and RSA algorithms. This merger aims to ensure that the RSA algorithm can play a role in encrypting secret keys, while the AES algorithm is used to secure the original text (plaintext). The sender will receive the private key, encrypted secret key, and ciphertext. The recipient decrypts the secret key first using the RSA algorithm, and after obtaining the secret key, decrypts the ciphertext using the AES algorithm along with the previously decrypted secret key. It is hoped that this research will provide better security for sending information because the process of reading the contents of a secret message must go through both combination algorithms.

DESIGNING UI/UX DESIGN OF MOBILE APPLICATION AT SOLARIA RESTAURANT USING LEAN UX METHOD

Yoga Setia Putra, Mochzen Gito Resmi, Muhamad Agus Sunandar — Fri, 15 Nov 2024 00:00:00 +0700

The rapid development of information technology encourages companies in various sectors to adopt mobile applications to improve customer experience and operational efficiency. Solaria, a leading fast food restaurant in Indonesia, needed to design an optimal user interface (UI) and user experience (UX) for its mobile application. This research aims to design the UI/UX of the Solaria app using the Lean UX method. The research method involves several stages: customer interviews and questionnaires to understand user needs, wireframes and initial prototypes, testing and iteration based on user feedback, and final evaluation of the refined prototype. The result of this research is a relevant and user-friendly design. This research is expected to serve as a reference for mobile application developers to be able to make a full application.

APPLICATION OF DIJKSTRA'S ALGORITHM IN DETERMINING THE SHORTEST ROUTE TO MRICAN LANDFILL

Fakih Kuncoro, Ismail Abdurrozzaq Zulkarnain, Ghulam Asrofi Buntoro — Fri, 15 Nov 2024 00:00:00 +0700

This research explores the implementation of Dijkstra's Algorithm to determine the shortest route in waste management, particularly from Temporary Disposal Sites (TPS) to the Mrican Final Processing Site (TPA). With advancements in information technology, determining an efficient waste collection route is crucial for reducing operational costs, travel time, and fuel consumption. This study utilizes historical data and current road conditions to simulate routes, addressing challenges such as traffic congestion and unpredictable road conditions. Dijkstra's Algorithm has been proven effective in previous studies in transportation and logistics contexts, and is thus adopted in this study. The results show that applying this algorithm can enhance waste transportation efficiency, providing practical solutions for TPA Mrican management to optimize collection routes, reduce operational costs, and improve collection time efficiency.

SENTIMENT ANALYSIS ABOUT UNHAN RI THROUGH TWITTER SOCIAL MEDIA

Fri, 15 Nov 2024 12:27:14 +0700

This study aims to determine public opinion regarding Universitas Pertahanan Republik Indonesia (UNHAN RI). As a new university, responses regarding public opinion need to be carried out so that the university can provide better services and educational programs. To see the public response to UNHAN RI, a Machine Learning method is used, namely Naïve Bayes. This Naïve Bayes modeling can help to classify public sentiment analysis towards UNHAN RI. By Naïve Bayes modeling, an accuracy value of 60.78% was obtained with three classification results, namely positive, negative, and neutral. The largest classification results were obtained in the positive class of 60.8%, the neutral class of 33.3%, and the negative class of 5.9%..