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All Journal Journal of Artificial Intelligence and Digital Business Jurnal ELTEK
Masudia, Putri Elfa
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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IoT-Based RFID System for Enhancing Kindergarten Student Safety : A Case Study Masudia, Putri Elfa; Suekko, Febiola Kireya; Suharto, Nugroho
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.891

Abstract

Antonius Kindergarten is one of the kindergartens whose school building is a courtyard with a higher school level, namely SDK Santa Maria, and adjacent to the highway. One of the major safety concerns is the staircase leading to the second floor of the elementary school building, which connects directly to the hallway used by kindergarten students to access the bathroom This access point poses a significant risk, as kindergarten students often ascend the stairs unsupervised, resulting in injuries or crying without being noticed by teachers or staff. There is no guard because the staircase access is in the middle of the elementary school building. Based on this background, an automatic student security monitoring system is needed by utilizing technology, namely RFID (Radio Frequency Identification) and a website as a user interface. Based on the results of the RFID reading distance test using two models of tags, bracelets, and I.D. cards at 3 points of the area (gate, front door, stairwell) and 2 points of the height of the RFID reader (1.8 meters and 1.5 meters) the farthest distance of the RFID reader reading was obtained was 5 meters (I.D. card model rails area) and 3.5 meters (front door area bracelet model). The warning alarm for kindergarten admins sounds for 5 seconds repeatedly with a pause from the minimum reading distance of the RFID reader of 0.3 seconds. The farther away the Tag is from the reader, the longer the pause is.
Implementasi peer to peer networking pada headset untuk streaming audio berbasis internet of things Ardiansyah, Rizky; Marselia, Anita; Wijayanti, Rieke Adriati; Masudia, Putri Elfa; Rasyid, Abdul; Adzikirani, Adzikirani; Aziz, Arinalhaq Fatachul
JURNAL ELTEK Vol. 24 No. 1 (2026): April 2026
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/eltek.v24i1.8498

Abstract

Penelitian ini mengevaluasi headset berbasis IoT untuk komunikasi di lingkungan kampus menggunakan protokol UDP dan ESP32 dalam jaringan peer-to-peer untuk streaming suara real-time. Hasil pengujian menunjukkan bahwa ketiga headset menghasilkan suara dengan intensitas rata-rata 65.62 dBA, nyaman untuk penggunaan sehari-hari, dan lebih efisien dalam memperkuat suara ponsel (65.82 dBA) dibandingkan suara manusia (65.43 dBA). Delay meningkat seiring bertambahnya jarak: 1.15 detik pada 1.5 meter, 3.18 detik pada 3 meter, dan 4.02 detik pada 4.5 meter. Survei pengguna menunjukkan pandangan positif terhadap kualitas suara dan minimnya noise, meskipun beberapa melaporkan adanya delay. Headset ini terbukti andal dan serbaguna, memberikan pengalaman mendengarkan yang konsisten dan efisien.   ABSTRACT This study evaluates IoT-based headsets for campus communication using UDP and ESP32 protocols in a peer-to-peer network for real-time voice streaming. Test results show that all three headsets produce sound with an average intensity of 65.62 dBA, comfortable for everyday use, and more efficient in amplifying mobile phone sounds (65.82 dBA) than human voices (65.43 dBA). Delay increases with distance: 1.15 seconds at 1.5 meters, 3.18 seconds at 3 meters, and 4.02 seconds at 4.5 meters. User surveys show positive views on sound quality and minimal noise, although some report delays. The headsets prove to be reliable and versatile, providing a consistent and efficient listening experience.
Co-Authors Abdul Rasyid Adzikirani, Adzikirani Aziz, Arinalhaq Fatachul Marselia, Anita Rieke Adriati Wijayanti RIZKY ARDIANSYAH Suekko, Febiola Kireya Suharto, Nugroho