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All Journal Jurnal Tika JOCHAC
Andi Mawaddah Sumardi
Universitas Negeri Makassar
Computer Science & IT

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Optimasi Pemilihan Mahasiswa Berprestasi Menggunakn Metode Wp (Weighted Product) Berbasis Web Dalam Sistem Pendukung Keputusan Andi Mawaddah Sumardi; Abdul Rifai Wadjidi; Fhatiah Adiba
Jurnal Tika Vol 9 No 2 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

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

Abstract

Students as learning agents and seekers of knowledge need to be encouraged to explore their potential, including in aspects of hard skills and soft skills. This research focuses on building a Decision Support System (SPK) with the Weighted Product (WP) method to determine the best students. Improving students' future existence depends not only on the excellence of hard skills, but also the balance of soft skills. The research involved four journals related to SPK student selection, and WP was chosen as an evaluation method. The research process begins with literature collection and system design, including design procedures, system usage, relationships between tables, use case diagrams, and WP method flowcharts. The implementation of the system includes a login page, input of criteria and alternative values, and the process of calculating student rankings. WP gives an accurate ranking, with Alternative 9 (Rifai) as the best student. Testing shows a high degree of accuracy between manual results and system results. This DSS provides an objective evaluation of student achievement, with the potential for further development related to data integration with academic systems and user interface improvement. The conclusion of this study is that SPK with the WP method can provide student rankings efficiently and accurately, helping to support decision making related to the selection of the best students. Further development suggestions involve feature enhancements, data maintenance, and further integration with academic systems to improve system reliability.
Optimasi Pemilihan Mahasiswa Berprestasi Menggunakan Metode Wp (Weighted Product) Berbasis Web Dalam Sistem Pendukung Keputusanoptimasi Fhatiah Adiba; Abdul Rifai Wadjidi; Andi Mawaddah Sumardi
Jurnal Tika Vol 9 No 1 (2024): Jurnal Teknik Informatika Aceh
Publisher : Fakultas Ilmu Komputer Universitas Almuslim Bireuen - Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51179/tika.v9i1.2353

Abstract

Students as learning agents and seekers of knowledge need to be encouraged to explore their potential, including in aspects of hard skills and soft skills. This research focuses on building a Decision Support System (SPK) with the Weighted Product (WP) method to determine the best students. Improving students' future existence depends not only on the excellence of hard skills, but also the balance of soft skills. The research involved four journals related to SPK student selection, and WP was chosen as an evaluation method. The research process begins with literature collection and system design, including design procedures, system usage, relationships between tables, use case diagrams, and WP method flowcharts. The implementation of the system includes a login page, input of criteria and alternative values, and the process of calculating student rankings. WP gives an accurate ranking, with Alternative 9 (Rifai) as the best student. Testing shows a high degree of accuracy between manual results and system results. This DSS provides an objective evaluation of student achievement, with the potential for further development related to data integration with academic systems and user interface improvement. The conclusion of this study is that SPK with the WP method can provide student rankings efficiently and accurately, helping to support decision making related to the selection of the best students. Further development suggestions involve feature enhancements, data maintenance, and further integration with academic systems to improve system reliability.
Perbandingan Keamanan dan Performa Aplikasi WhatsApp dan Telegram dengan Menggunakan Metode NIJ Aulyahzakilah Ifani; Andi Mawaddah Sumardi; Novera Baytikhalishah; Nurlela
Journal of Cyber Health and Computer Vol 1 No 1 (2023): Journal of Cyber Health and Computer (JOCHAC)
Publisher : SIBER PRESS Universitas SIBERMU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64163/jochac.v1i1.1

Abstract

In the current era of information technology, humans have experienced convenience and efficiency in their lives, thanks to social media. Various types of social media platforms have emerged, including social networking platforms such as Facebook and LinkedIn, photo and video sharing platforms like Instagram and TikTok, and instant messaging platforms like WhatsApp and Telegram. In this research, we conducted experiments to compare the performance of WhatsApp and Telegram applications using various tools such as Virtex, FTK Imager, Autopsy, and Metasploit, on Windows 11, Android 8 and 11 operating systems, as well as Kali Linux, using the NIJ method. Based on the analysis conducted, all experiments were unsuccessful. The latest versions of WhatsApp and Telegram were found to be secure against Virtex attacks, FTK Imager was ineffective in recovering deleted files, Metasploit was not affected by attacks on the used versions of Windows and Android, and Autopsy failed to recover deleted files despite being able to identify them.
Co-Authors Abdul Rifai Wadjidi Abdul Rifai Wadjidi Aulyahzakilah Ifani Fhatiah Adiba Novera Baytikhalishah Nurlela