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All Journal Journal of Computer Science and Informatics Engineering Digital Transformation Technology (Digitech)
Hamdani Setiawan
Sekolah Tinggi Teknologi Mandala
Computer Science & IT Library & Information Science

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RFID-Based Door Security System Performance Optimization Using Particle Swarm Optimization on the ESP32 Platform Hamdani Setiawan; Rahmad Hidayat; Paris Hasbi; Ike Yuni Wulandari; Yudi Herdiana
Journal of Computer Science and Informatics Engineering Vol 5 No 3 (2026): July
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i3.1758

Abstract

The development of the Internet of Things (IoT) has accelerated the adoption of RFID- and ESP32-based door security systems as more secure and flexible alternatives to conventional locks. However, previous studies have primarily focused on system implementation and functional testing without systematically optimizing RFID operational parameters, resulting in suboptimal reading performance and response time. This study aims to optimize the performance of an RFID-based door security system using the Particle Swarm Optimization (PSO) algorithm on the ESP32 platform. The proposed method includes prototype development, experimental evaluation under varying RFID reading distances and angles, and PSO-based optimization using a fitness function that integrates reading success rate, effective reading distance, and response time. The novelty of this study is integrating PSO to simultaneously optimize ESP32-based RFID parameters for improved authentication performance. Experimental results show that PSO increased the fitness value from 0.636 to 0.923, improved the RFID reading success rate from 60% to 95%, extended the effective reading distance from 4.2 cm to 4.8 cm, and reduced the response time from 0.59 s to 0.43 s. These findings demonstrate that PSO effectively improves the reliability, speed, and service quality of RFID-based access control systems in IoT environments
Optimasi Pole Rekursif Infinite Impulse Response Menggunakan Grey Wolf Optimizer untuk Meningkatkan Kualitas Resonator Hamdani Setiawan; Rahmad Hidayat; Givy Devira Ramady; Anung Anung; Yoddy Agung Nuhgraha
Digital Transformation Technology Vol. 6 No. 1 (2026): Periode Maret 2026
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v6i1.8937

Abstract

Resonator digital berbasis Infinite Impulse Response (IIR) merupakan salah satu struktur yang banyak digunakan sebagai pembangkit gelombang sinusoidal karena memiliki kompleksitas komputasi yang rendah dan selektivitas frekuensi yang tinggi. Namun, metode desain konvensional umumnya menggunakan koefisien tetap yang diperoleh secara analitis sehingga belum menjamin performa optimum terhadap parameter bandwidth dan faktor kualitas (Q-factor). Penelitian ini mengusulkan metode optimasi penempatan pole pada resonator rekursif IIR orde dua menggunakan algoritma Grey Wolf Optimizer (GWO). Setiap solusi direpresentasikan sebagai posisi pole yang menentukan karakteristik resonator. Fungsi objektif dirancang secara multi-kriteria dengan mempertimbangkan kesalahan frekuensi resonansi, bandwidth, faktor kualitas, dan kestabilan sistem. Simulasi dilakukan pada frekuensi sampling 12 kHz dengan target frekuensi resonansi 2 kHz dan 4 kHz. Hasil optimasi menunjukkan bahwa metode GWO mampu menghasilkan bandwidth yang lebih sempit, faktor kualitas yang lebih tinggi, serta kesalahan frekuensi yang lebih kecil dibandingkan metode desain resonator konvensional. Hasil penelitian menunjukkan bahwa GWO efektif digunakan untuk meningkatkan performa resonator digital pada aplikasi pembangkit gelombang dan pemrosesan sinyal adaptif
Co-Authors Anung Anung Givy Devira Ramady Ike Yuni Wulandari Paris Hasbi Rahmad Hidayat Yoddy Agung Nuhgraha Yudi Herdiana