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All Journal Annual Research Seminar Jurnal Jaringan Komputer dan Keamanan (JJKK) Jurnal Informatika Dan Tekonologi Komputer
Syahril Rizal
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Computer Science & IT Control & Systems Engineering Other

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Literatur Review tingkat kematangan E-Learning di Perguruan Tinggi Indonesia Purwita Sari; Darius Antoni; Syahril Rizal
Annual Research Seminar (ARS) Vol 2, No 1 (2016)
Publisher : Annual Research Seminar (ARS)

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

Abstract

Implementasi e-learning di Indonesia sudah banyak diterapkan pada Perguruan Tinggi dalam hal mengatasi kendala sumber daya belajar. Untuk memahami proses implementasi e-learning yang sudah ada, dibutuhkan evaluasi tingkat kematangan sistem e-learning yang dianggap mampu mengungkapkan dan menggambarkan proses yang sudah berjalan. Penelitian ini  bertujuan untuk mengetahui aspek atau katergori apa yang telah mencapai tingkat kematangan sistem e-learning yang ada di Perguruan Tinggi Indonesia yang baik dan kategori apa yang masih perlu ditingkatkan maturity-nya supaya tidak mengalami kegagalan dan penerapan e-learning dapat berlangsung dengan sukses. Penelitian ini menggunakan kerangka kerja eMM yang dapat digunakan sebuah institusi untuk mengukur sejauh mana (tingkat kematangan) kapabilitas e-learning yang ada apakah sudah sesuai atau belum dengan kebutuhan pengajar, pembelajar, dan institusi.  Dimensi kapabilitas dinyatakan dalam skala 1 (Delivery), 2 (Planning), 3 (Definition), 4 (Management), dan 5 (Optimization). Hasil dari penelitian ini adalah berupa gambaran tingkat kematangan e-learning yang ada di Perguruan Tinggi Indonesia.
Network Security Monitoring System via Whatsapp using Snort on Ubuntu Jefri Simanjuntak; Syahril Rizal
Jurnal Jaringan Komputer dan Keamanan Vol 6 No 1 (2025): Jurnal Jaringan Komputer dan Keamanan
Publisher : Institute of Information Technology and Social Science (IITSS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61346/jjkk.v6i1.230

Abstract

This research addresses critical network security vulnerabilities identified at the Palembang City Office of Culture and Tourism (Dinas Kebudayaan Dan Pariwisata Kota Palembang), an agency responsible for managing regional tourism and cultural assets. The necessity for heightened security became apparent following a successful Distributed Denial of Service (DDOS) attack against the agency's operational website. The investigation diagnosed the incident's root causes as high network vulnerability stemming from reliance on standard, inadequately secured infrastructure, coupled with insufficient human resource (HR) capacity and the complete absence of effective legacy prevention systems [1]. The solution implemented involves the construction of a Network Security Monitoring System utilizing the open-source Snort application, configured as an Intrusion Detection System (IDS) deployed on an Ubuntu platform. The core technical innovation of this system lies in its capacity for real-time alert delivery, leveraging the ubiquitous Whatsapp instant messaging application to notify the network administrator immediately upon the detection of an intrusion [1]. Validation testing confirms the system's efficacy in detecting specific, high-risk attack vectors, including SSH brute force login attempts, Telnet access probes, File Transfer Protocol (FTP) access attempts, and high-volume DDOS flooding [1]. The successful deployment demonstrates a viable, low-cost, and responsive strategy for public sector entities to transition from a passive security approach to a proactive, real-time security monitoring posture.
Sistem Pendukung Keputusan Rekomendasi Organisasi Untuk Mahasiswa di Universitas Bina Darma Menggunakan Metode Simple Additive Weighting (SAW) M. Denny Tri Lisandi; M. Soekarno Putra; Syahril Rizal; Wydyanto Wydyanto
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8361

Abstract

This research was conducted to develop a web-based Decision Support System (DSS) to provide student organization recommendations at Universitas Bina Darma. The Simple Additive Weighting (SAW) method was used to evaluate compatibility based on students’ interests, talents, and preferences. The K-Nearest Neighbor (KNN) algorithm was applied to classify the SAW score results in order to determine the final recommendation. In line with its domain, the system was developed using an Agile Feature-Driven Development (FDD) approach in a gradual and iterative manner, utilizing the Laravel 12 framework. The research results showed that the system was capable of accurately recommending Student Activity Units (UKM) for first- to fourthsemester students. The recommendation process was carried out by combining the SAW method to obtain the top three UKM and the KNN algorithm for final classification when students chose to participate in only one UKM that best matched their historical answer patterns.
Co-Authors Darius Antoni Jefri Simanjuntak M. Denny Tri Lisandi M. Soekarno Putra Purwita Sari Wydyanto Wydyanto