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All Journal Elektron Jurnal Ilmiah JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Dinamisia: Jurnal Pengabdian Kepada Masyarakat Journal of Applied Computer Science and Technology (JACOST) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Proceeding Applied Business and Engineering Conference Journal of Applied Community Engagement (JACE) International Journal of Advanced Science Computing and Engineering
Deddy Prayama
Jurusan Teknologi Informasi Politeknik Negeri Padang
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : JOIV : International Journal on Informatics Visualization

 1 
Network Security Assessment Using Internal Network Penetration Testing Methodology Deni Satria; Alde Alanda; Aldo Erianda; Deddy Prayama
JOIV : International Journal on Informatics Visualization Vol 2, No 4-2 (2018): Cyber Security and Information Assurance
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2300.569 KB) | DOI: 10.30630/joiv.2.4-2.190

Abstract

The development of information technology is a new challenge for computer network security systems and the information contained in it, the level of awareness of the importance of network security systems is still very low. according to a survey conducted by Symantec, the desire to renew an existing security system within a year within a company has the result that only 13% of respondents consider changes to the security system to be important from a total of 3,300 companies worldwide as respondents. This lack of awareness results in the emergence of security holes that can be used by crackers to enter and disrupt the stability of the system. Every year cyber attacks increase significantly, so that every year there is a need to improve the security of the existing system. Based on that, a method is needed to periodically assess system and network security by using penetrarion testing methods to obtain any vulnerabilities that exist on the network and on a system so as to increase security and minimize theft or loss of important data. Testing is carried out by using internal network penetration testing method which tests using 5 types of attacks. From the results of the tests, each system has a security risk of 20-80%. From the results of these tests it can be concluded that each system has a security vulnerability that can be attacked.
Prediction of Cross-Platform and Native Apps Technology Opportunities for Beginner Developers Using C 4.5 and Naive Bayes Algorithms Gunawan, Wawan; Wiradiputra, Raychal Ababil; Puspita Sari, Anggi; Prayama, Deddy; Rikardo Nainggolan, Esron
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1514

Abstract

The competition between native and cross-platform app development makes application development simpler, safer, and more scalable. However, developers must have sufficient fundamentals, and the industry must conduct good research to shorten development time and minimize expenses. In order to solve these problems, this study made a prediction that discusses the technology that has a chance to survive in the industry so as not to be left behind in technology. Using Naïve Bayes and C 4.5 algorithms into a dataset with nine programming languages related to mobile app development. Results obtained in This research show Dart as a programming language that supports cross-platform frameworks and Kotlin as a programming language that supports native app frameworks is a technology that would have the opportunity in the future with an accuracy level above 90% with Naïve Bayes and C 4.5 algorithms. These results are obtained by testing an algorithm model using MAPE, consistent dataset sharing, and careful data processing. This research Can help entry-level developers learn and deepen the fundamentals of technology and can add knowledge to the industry in choosing a technology.
Co-Authors Alde Alanda, Alde Aldo Erianda Amelia Yolanda Amelia Yolanda Andi Wellyno Pratama Anggie Meifriyan Pratama Asri, Aprinal Adila Boby Putra Lubis Danny Athaya Deni Satria Dwiny Meidelfi Fadhilah Oriyasmi Fadli Fadilillah Faisal Amir Fanni Sukma Fhadel Wedi Pratama Fitri Nova Fitri Nova Nova Gusman, Taufik Hidra Amnur Ikhsan Yusda Prima Putra Indri Rahmayuni Lilimiwirdi Lilimiwirdi Maria, Popi Muhammad Dehan Pratama Novadilastri Puspita Sari, Anggi Rikardo Nainggolan, Esron Riyanto Tri Lestari Variyetmi Wira Wawan Gunawan Wiradiputra, Raychal Ababil Witri Handayani Wiwik Wiharti Yenida Yenida Yuhefizar Yuhefizar Yustini Zulka Hendri