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All Journal Teknik: Jurnal Ilmu Teknik dan Informatika Jurnal Manajemen Informatika & Teknologi
Ade Frihadi
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Computer Science & IT

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Improved Website SecurityUsing SSL and HAProxy Based PFSense Routers Ade Frihadi; Silviana Windasari; Mardiyan Dama; Bayu Bagaskoro; Abdurohman, Abdurohman
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.888

Abstract

Website security is a crucial aspect in the face of increasing cyber threats. This study aims to implement website protection using SSL (Secure Sockets Layer) and HAProxy (High Availability Proxy) through a PFSense router, and to evaluate its effectiveness using the securityheaders.com platform. The methodology used is an experimental study with a reverse proxy server configuration based on HAProxy and SSL certificates from Let's Encrypt. Measurement results indicate an improvement in the website's security score after the configuration was applied, particularly in security headers such as Strict-Transport-Security, X-Frame-Options, and Content-Security-Policy. This research contributes to strengthening web security architecture that is simple, efficient, and openly adoptable by government institutions and medium-scale organizations that require open-source-based security solutions.
Leveraging Blockchain Technology to Enhance Data Integrity and Transparency in Government Data Centers Rotib, Adi Affandi; Windasari, Silviana; Bayu Bagaskoro; Ade Frihadi; Abdurohman, Abdurohman
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.891

Abstract

Abstract. Government data centers in Indonesia face significant challenges related to data integrity and transparency, impacting policy-making accuracy, operational efficiency, and public trust. Data fragmentation, information inconsistency, and vulnerability to manipulation and cyberattacks have become crucial issues. Blockchain technology, with its fundamental characteristics such as decentralization, immutability, cryptography, and consensus mechanisms, offers innovative solutions to address these problems. This research employs a systematic literature review and conceptual analysis approach to identify how blockchain principles can be effectively applied. The proposed conceptual model, which utilizes permissioned blockchains like Hyperledger Fabric and distributed storage systems such as the InterPlanetary File System (IPFS), demonstrates significant potential in creating a secure, transparent, and auditable data ecosystem. Blockchain implementation is expected to enhance data security, strengthen auditability, prevent fraud, improve operational efficiency, securely manage digital identities, and increase data availability and redundancy. Although implementation challenges exist, including technical complexity, immature regulations, costs, and human resource gaps, global case studies and initial initiatives in Indonesia indicate significant feasibility and benefits. This report recommends a holistic approach encompassing adaptive regulatory development, infrastructure and human resource investment, phased pilot projects, and multi-stakeholder collaboration to realize blockchain's full potential in improving government data governance.   Keywords: Blockchain, Cybersecurity, Data Integrity, Data Transparency, Government Data Center
Rescue Drone Swarm Design for Innovative Disaster Management and Rescue Operations Silviana Windasari; Abdurohman Abdurohman; Mardiyan Dama; Ade Frihadi; Bayu Bagaskoro
Jurnal Manajemen Informatika & Teknologi Vol. 5 No. 1 (2025): Mei : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/n2anez60

Abstract

Conventional emergency response strategies are often constrained by limited operational coverage, slow resource mobilization, and fragmented data acquisition, hindering coordination effectiveness during critical phases. This research proposes the design of an autonomous drone swarm system to support innovative disaster management and rescue operations. A coordinated multi-agent based system is designed to perform real-time monitoring, structured search and rescue, and post-disaster infrastructure evaluation. Rule-based behavioral modeling is used in complex emergency scenarios. Initial simulation results show greater area coverage, accelerated response times, and increased mission adaptability under dynamic conditions. The system is also designed to deliver logistical assistance such as food and medicine to hard to reach areas, such as ravines or steep mountains. The integration of artificial intelligence algorithms improves target identification precision as well as adaptive swarm response. This model is considered to have transformational potential to be the foundation for the development of future rapid-response autonomous rescue systems.  
Co-Authors Abdurohman Abdurohman Abdurohman, Abdurohman Bayu Bagaskoro Mardiyan Dama Rotib, Adi Affandi Silviana Windasari