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All Journal Algoritme Jurnal Mahasiswa Teknik Informatika
Yo’el Pieter Sumihar
Universitas Kristen Immanuel Yogyakarta
Computer Science & IT

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Sistem Pemantauan Aktivitas Manusia Menggunakan Sensor Human Presence Radar HLK-LD2410C Dan ESP32 Mikha Viyo Nugroho; Gogor Christmass Setyawan; Yo’el Pieter Sumihar
Jurnal Algoritme Vol 7 No 1 (2026): October 2026 || Algoritme Jurnal Mahasiswa Teknik Informatika
Publisher : Program Studi Teknik Informatika Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/algoritme.v7i1.16993

Abstract

Indoor human activity monitoring is essential for Internet of Things (IoT) security and automation. However, Passive Infrared (PIR) sensors and cameras face limitations regarding low-movement detection and privacy issues. This study implements an HLK-LD2410C Human Presence Radar using 24 GHz mmWave and ESP32 to classify real-time activities. Parameters including Presence, Distance, P_Energy, and M_Energy from UART communication are categorized via thresholding into No Presence, Static, Light Movement, and Heavy Movement. Testing reveals detection ranges up to 5.2 m for Static, 5.3 m for Light Movement, and 3.8 m for Heavy Movement. Confusion matrix evaluation yields 97.50% accuracy, 97.73% precision, 97.50% recall, and a 97.49% F1-score. M_Energy values depend on distance and movement intensity, while multi-object scenarios reflect the dominant activity within the detection zone. Consequently, the proposed system provides a non-contact, responsive, and privacy-preserving solution for indoor human activity monitoring.
Co-Authors Gogor Christmass Setyawan Mikha Viyo Nugroho