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All Journal Jurnal Minfo Polgan (JMP) Tech : Journal of Engineering Science Energy: Jurnal Ilmiah Ilmu-ilmu Teknik
Juan Salao Biantong
Universitas Ciputra Surabaya
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences

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Implementation of Static Code Analysis to Detect Vulnerabilities in Applications Developed with the Assistance of Large-Language Models (LLM) Arnold Nasir; Kasmir Syariati; Citra Suardi; David Sundoro; Juan Salao Biantong; Reinaldo Lewis Lordianto
ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK Vol. 15 No. 2 (2025): ENERGY: JURNAL ILMIAH ILMU-ILMU TEKNIK (July-November 2025 Edition)
Publisher : Universitas Panca Marga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51747/energy.v15i2.15210

Abstract

The emergence of large language models (LLMs), such as ChatGPT and GitHub Copilot, has transformed software development, including in higher education. Students can now easily create PHP code for Laravel web applications. This research implements static code analysis with PHPStan to detect security vulnerabilities in student-developed PHP code that is likely assisted by LLMs. The analysis was performed on the full code of 28 capstone projects, focusing on student projects that demonstrated patterns consistent with heavy LLM output use. The results show that 64.16% of LLM-assisted code often neglects data sanitization, uses raw queries without parameterization, and contains vulnerable authentication logic. This study contributes to web application security literacy for students and recommends static analysis as a pedagogical and preventive tool.
Integration and Implementation of the Kanban Method in Digital Projects for Enhancing Time Efficiency: A Case Study on the Procurement of AI-Based Forensic Device Communication in a Government Security Agency Sandryones Palinggi; Juan Salao Biantong; Erich Christian Limbongan
Tech : Journal of Engineering Science Vol 2 No 1 (2026): Inovasi Teknik dan Teknologi untuk Sistem Berkelanjutan dan Efisiensi Industri
Publisher : Yayasan Penelitian dan Pengabdian Masyarakat Sisi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69836/tech.v2i1.754

Abstract

The management of digital projects involving both physical infrastructure and artificial intelligence technology in government procurement environments presents significant challenges due to rigid sequential workflows and strict regulatory requirements. This research examines the integration and implementation of the Kanban method in a digital project for the procurement of an AI-based Forensic Device Communication system within a government security agency, with the objective of enhancing time efficiency in project execution. An intrinsic case study approach was employed to compare the conventional 92-day linear project model with the Kanban-based execution model. Data were collected through participant observation, document analysis, and structured field documentation across 33 strategic installation locations. The Kanban system was implemented using a digital board with six workflow columns and Work-In-Progress limits to manage parallel task execution. Source triangulation through digital Kanban records, official completion reports, and field observations ensured data validity. The Kanban method reduced project duration from 92 days to 49 calendar days, achieving a 46% improvement in time efficiency. The pull system approach and transparent task visualization enabled early identification of administrative bottlenecks, including licensing delays and inter-team coordination issues, without compromising the technical quality of 22 new AI-based CCTV units integrated with 11 existing units. These findings demonstrate that agile visual management methodologies can be effectively adapted to complex government procurement projects while maintaining regulatory compliance. This study provides an empirical model for integrating Kanban within public sector frameworks. Future research may extend this model to multi-agency procurement contexts.
Pengembangan Aplikasi Android “Teman Lansia” sebagai Layanan Pendamping Aktivitas Lansia Suryaningsih Patandung; Eko Suripto Pasinggi; Muh Jailani; Juan Salao Biantong
Jurnal Minfo Polgan Vol. 15 No. 2 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i2.16476

Abstract

Jumlah populasi lanjut usia di Indonesia terus meningkat dan memerlukan perhatian khusus, terutama dalam aspek sosial. Lansia yang lebih sering menghabiskan waktu sendirian cenderung mengalami kesepian dan berbagai permasalahan sosial. Pemanfaatan teknologi informasi dapat memberikan dampak positif terhadap dukungan dan interaksi sosial serta mengurangi isolasi sosial. Oleh karena itu, penelitian ini mengembangkan aplikasi berbasis Android bernama Teman Lansia yang dirancang sebagai penyedia layanan pendamping aktivitas bagi lansia melalui interaksi dengan agen social assistant. Pengembangan aplikasi menggunakan metode System Development Life Cycle (SDLC) model waterfall yang meliputi analisis kebutuhan, perancangan, implementasi, pengujian, dan dokumentasi. Proses pengembangan memanfaatkan perangkat lunak Windows 11, XAMPP, Laravel, Flutter, Visual Studio Code, dan Figma. Hasil pengujian menunjukkan bahwa aplikasi berjalan sesuai dengan rancangan. Aplikasi Teman Lansia diharapkan dapat meningkatkan kualitas kehidupan sosial lansia dengan memperluas kesempatan untuk berinteraksi dan bersosialisasi.
Co-Authors Arnold Nasir Citra Suardi David Sundoro Eko Suripto Pasinggi Erich Christian Limbongan Kasmir Syariati Muh Jailani Reinaldo Lewis Lordianto Sandryones Palinggi Suryaningsih Patandung