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All Journal JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Pengabdian UNDIKMA
Septiani Kusuma Ningrum
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Analisis Perbandingan Query Response Time MariaDB Pada Sistem Operasi Kali Linux dan Ubuntu Fatimah, Aisyah; Afifah, Nurul; Septiani Kusuma Ningrum
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 1 (2025): Vol 17, No 1 (2025)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i1.230

Abstract

Data is a vital resource for organizations that demand unparalleled access speeds and adequate levels of security. Critical components in the data need to be managed effectively and efficiently to enable timely decision-making. This study proposed a comparative analysis of query execution time using MariaDB Database Management System (DBMS) on Kali Linux and Ubuntu operating systems. Researchers identified response times for select, update, and delete operations on variations in data size. This experiment was carried out three times to ensure the consistency of the results. As a result, Ubuntu exhibits a more stable pattern of increasing response time, although it is slower than Kali Linux. Ubuntu performs better in terms of scalability, especially when handling large datasets. Based on this study, the selection of an operating system for database management not only be based solely on query execution speed, but also consider other important factors, such as the operating system's security level, ease of use, and user preferences.
Optimalisasi Keamanan Siber dan AI dalam Akselerasi Transformasi Digital Sektor Industri Sumatera Selatan Deris Stiawan; Ahmad Heryanto; Nurul Afifah; Adi Hermansyah; Dian Palupi Rini; Septiani Kusuma Ningrum; Dendi Renaldo Permana
Jurnal Pengabdian UNDIKMA Vol. 7 No. 2 (2026): May
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i2.20555

Abstract

This community service program aims to strengthen the digital defense system of PT PLN Palembang through the integration of cybersecurity technology and artificial intelligence (AI). As a strategic state-owned enterprise, PT PLN faces the risk of cyberattacks targeting SCADA and ERP systems, which may disrupt national energy resilience. The implementation method of this community service activity was carried out systematically through stages of infrastructure auditing, socialization, intensive training, and direct technology implementation using a participatory-collaborative approach. The instrument utilized in this activity was the SCADA system, which was analyzed through real-time network traffic monitoring using machine learning and deep learning algorithms. The results of this community service activity indicate the successful implementation of a SCADA-based security system capable of providing early detection of zero-day threats, as well as enhancing the capacity of PT PLN’s IT personnel in independently managing network security. The impact of this activity is the establishment of a more resilient and secure digital transformation foundation for industries in South Sumatra, while simultaneously reducing dependence on conventional passive security systems.
Co-Authors Adi Hermansyah Ahmad Heryanto Dendi Renaldo Permana Deris Stiawan Dian Palupi Rini Fatimah, Aisyah Muhammad Afif Nurul Afifah