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Implementation Strategy Analysis of Network Security using dalo RADIUS and Pi-hole DNS Server to enhance Computer Network Security, Case Study: XYZ as a Fintech Company Yudhistira, Andika Davi; Harwahyu, Ruki
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 10 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i10.5321

Abstract

According to the annual report by the National Encryption Agency in 2023, Indonesia had the highest number of cyber-attack sources, with over 1 million attacks, which has increased quite rapidly compared to the last 3 years. Several online media platforms have reported incidents of this nature over the past three years. Among the 10 institutions implicated in the present incident, it has been confirmed that 6 of them are Fintech institutions. The incident's factors are various, including the user's lack of awareness who accessed an unofficial website outside the company's production website. This act ultimately proved to be detrimental to the company. Therefore, this study highlights the importance of RADIUS (Remote Authentication Dial-In User Service) as a comprehensive security tool that contributes to mitigating unauthorized access and strengthening network defenses against emerging threats. This research focuses on XYZ, a Fintech Company, using it as a case study. The main discussion in this paper focuses on utilizing the daloRADIUS server to resolve authorization concerns regarding network security. Pi-hole DNS Server is also used in this research to block access to illegal sites such as pornography and online gambling. The results of this research are proof of the success of a combination of daloRADIUS server components, RADIUS router, and Pi-hole DNS Server in blocking users who are detected accessing illegal sites and are also observed regarding the use of daloRADIUS Server resources in a usage range ranging from 10 active users to 300 active users.
Pengembangan Metode Deteksi Pad PCB Otomatis Menggunakan Kamera pada Mesin Pengebor PCB Berbasis Computer Vision Zamroni, Achmad; Harwahyu, Ruki
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 10, No 1 (2026): SEMNAS RISTEK 2026
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v10i1.8887

Abstract

Integrating the DeepSeek-R1 model as an analytical assistant in digital forensic investigations of corruption cases Ferdian, Hafni; Harwahyu, Ruki
Integritas: Jurnal Antikorupsi Vol 11 No 2 (2025): INTEGRITAS: Jurnal Antikorupsi
Publisher : Komisi Pemberantasan Korupsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32697/integritas.v11i2.1557

Abstract

This article examines the integration of the DeepSeek-R1 large language model as an analytical assistant in digital forensic investigations, particularly in corruption cases. The growing volume of digital evidence often leads to substantial analysis backlogs that can extend for months or even years, thereby hindering law enforcement efforts [1]. The use of Artificial Intelligence (AI) and Large Language Models (LLMs) offers the potential to improve investigative efficiency by reducing the burden of processing massive datasets. DeepSeek-R1 is a newly released open-source LLM with advanced reasoning capabilities, achieving performance comparable to state-of-the-art models developed by OpenAI. This study outlines the role of DeepSeek-R1 in supporting digital forensic workflows—from tracing electronic evidence and analyzing data relationships to generating preliminary investigative reports. The methodology includes simulated corruption case experiments comparing investigations assisted by DeepSeek-R1 with conventional manual analysis. The results show that DeepSeek-R1 can accelerate the retrieval of relevant information and produce concise summaries rapidly, significantly reducing analysis time. However, the model remains prone to factual errors (hallucinations) and biases, making human validation by investigators essential. With proper risk mitigation and oversight, integrating DeepSeek-R1 has the potential to significantly enhance the effectiveness of digital forensic investigations in combating corruption.