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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia VISA: Journal of Vision and Ideas
Singgam, Pritiy
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Aerospace Engineering Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Public Health Social Sciences Transportation

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Analysis of Travel Time Approximation on Trips Using Maclaurin Series Singgam, Pritiy; Silalahi, Anggi; Tampubolon, Josua Deo; Harliana, Putri
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 1 (2025): January 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i1.4754

Abstract

Mathematical approximation plays an important role in the analysis of travel time which is influenced by factors such as speed, distance, and acceleration. This study uses the Maclaurin series to approximate the value of travel time based on the distance traveled (x) and the number of terms in the series (n). The calculation was done manually and implemented using MATLAB for the case of distance x = 2 with the first five terms n = 5. The results of the manual calculation showed an estimated travel time of 0.9094 seconds, while the calculation using MATLAB resulted in 0.9093 seconds. The small difference between the two methods shows the accuracy of the Maclaurin series in travel time approximation. By increasing the number of terms in the sequence, the calculation results will be closer to a more precise value. This study emphasizes the benefits of the Maclaurin sequence method in simplifying mathematical analysis and improving calculation efficiency in physical and computational applications. 
Utilizing Capa in Kali Linux for Wannacry Malware Identification and Analysis Singgam, Pritiy; Nasution, Afifah Naila; Waruwu, Pedro Stella Mario Meyar
AURELIA: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Vol 4, No 1 (2025): January 2025
Publisher : CV. Rayyan Dwi Bharata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57235/aurelia.v4i1.4775

Abstract

Purpose: This study aims to analyze the WannaCry ransomware using Kali Linux and the Common Access Platform Assistant (CAPA) method to provide a deeper understanding of the malware's attack tactics, capabilities, and behaviors. Methods/Study design/approach: The research was conducted by installing CAPA version 7.4.0 downloaded from GitHub, followed by file extraction and access permission configuration. The WannaCry malware was obtained from the "thezoo" repository on GitHub, extracted, and analyzed using CAPA commands in the Linux terminal. The analysis results were presented in tables showing the malware's tactics, techniques, and behaviors. Result/Findings: The analysis revealed that CAPA effectively identified various tactics and techniques used by WannaCry, confirming its classification as malware. Validation through antivirus services indicated that 68 out of 72 services flagged the file as malicious, emphasizing the importance of robust cybersecurity measures. Novelty/Originality/Value: This study offers new insights into the working mechanisms of WannaCry ransomware and highlights the effectiveness of the CAPA method in malware analysis. The findings contribute to a better understanding of cybersecurity threats and provide valuable information for professionals in the field to enhance defense strategies against malware.
Penerapan Algoritma Quick Sort untuk Menyortir Array Berdasarkan Kriteria Tertentu untuk Meningkatkan Efisiensi Komputasi Nasution, Afifah Naila; Singgam, Pritiy; Al-Hafiz, Ahmad Yusuf; Alvansyah, Oka; Tampubolon, Josua Deo
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.5409

Abstract

This research focuses on implementing the Quick Sort algorithm for sorting arrays based on specific criteria, with the aim of increasing computational efficiency in data management. Quick Sort was chosen because of its superiority in sorting data with an average time complexity of O(n log n), making it efficient for use on large datasets. This research applies this algorithm to student data sorted by NIM and name, and considers the grouping of student entry routes. The research results show that the implementation of Quick Sort in sorting student data not only speeds up the data processing process but also allows for more efficient processing in various data conditions.
Penerapan Data Lifecycle Management Otomatis pada Sistem Informasi Karyawan Berbasis Web Wahyudi, Rizky; Kiswanto, Dedy; Singgam, Pritiy; Azis, Khildan Rifail
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 6 (2025): Desember 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i6.9911

Abstract

Abstrak - Pengelolaan data karyawan yang efektif menuntut sistem yang mampu mengatur siklus hidup data secara otomatis, aman, dan efisien. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi karyawan berbasis web dengan menerapkan Data Lifecycle Management (DLM) otomatis menggunakan scheduler dan event-based trigger. Sistem dikembangkan dengan framework Laravel dan basis data MySQL, serta diperkuat dengan mekanisme Role-Based Access Control (RBAC) untuk pembatasan hak akses dan Two-Factor Authentication (2FA) berbasis OTP email guna meningkatkan keamanan data. Pengujian dilakukan menggunakan metode black-box testing pada sembilan fitur utama, termasuk pengelolaan pengguna, absensi, dan retensi data otomatis. Hasil pengujian menunjukkan seluruh fitur berjalan sesuai rancangan tanpa kesalahan fungsional, sementara proses retensi berhasil mengeksekusi penghapusan dan pengarsipan data secara terjadwal. Kebaruan penelitian ini terletak pada integrasi antara DLM otomatis, RBAC, dan 2FA dalam satu platform yang saling terhubung, menjadikannya model implementasi yang dapat direplikasi untuk sistem informasi organisasi modern. Penelitian ini diharapkan berkontribusi terhadap peningkatan keamanan, efisiensi, dan kepatuhan dalam pengelolaan data karyawan di era digital.Kata kunci : Data Lifecycle Management; Sistem Informasi Karyawan; Role-Based Access Control; Two-Factor Authentication; Laravel; Abstract - Effective employee data management requires a system capable of managing the data lifecycle automatically, securely, and efficiently. This study aims to design and implement a web-based employee information system that integrates automated Data Lifecycle Management (DLM) using a scheduler and event-based triggers. The system was developed using the Laravel framework and MySQL database, strengthened by Role-Based Access Control (RBAC) to manage user permissions and Two-Factor Authentication (2FA) via email-based OTP to enhance data security. System testing was conducted using the black-box testing method across nine main features, including user management, attendance tracking, and automated data retention. The results show that all features performed as expected without functional errors, and the retention process successfully executed automatic data archiving and deletion according to schedule. The novelty of this research lies in the integration of automated DLM, RBAC, and 2FA within a unified platform, providing a practical and replicable model for modern organizational information systems. This study contributes to improving data security, efficiency, and compliance in employee data management within the digital era.Keywords: Data Lifecycle Management; Employee Information System; Role-Based Access Control; Two-Factor Authentication; Laravel;
Co-Authors Al-Hafiz, Ahmad Yusuf Alvansyah, Oka Azis, Khildan Rifail Dedy Kiswanto Nasution, Afifah Naila Silalahi, Anggi Tampubolon, Josua Deo Wahyudi, Rizky Waruwu, Pedro Stella Mario Meyar