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All Journal Jurnal Informatika dan Rekayasa Elektronik Ar-Rasyid: Jurnal Publikasi Penelitian Ilmiah
Susilawati Sobur
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Religion Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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PROTOTYPE SISTEM MONITORING STATUS PINTU BERBASIS IOT DENGAN NOTIFIKASI WEB DAN TELEGRAM Apriansa Arwandi Panjaitan; Annastia Reza Dzulha; Susilawati Sobur
Jurnal Informatika dan Rekayasa Elektronik Vol. 8 No. 2 (2025): JIRE November 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v8i2.1761

Abstract

Dalam era Revolusi Industri 4.0, Internet of Things (IoT) telah menjadi solusi inovatif dalam meningkatkan keamanan rumah. Penelitian ini merancang dan mengimplementasikan sistem pendeteksi status pintu berbasis IoT menggunakan ESP8266 yang dikombinasikan dengan sensor magnetik. Sistem ini memungkinkan pemantauan dan pemberian notifikasi real-time kepada pengguna melalui Telegram serta tampilan status pintu melalui website. Dengan adanya fitur alarm sebagai tindakan pencegahan terhadap akses tidak sah, sistem ini diharapkan dapat meningkatkan keamanan rumah dengan biaya yang lebih terjangkau dibandingkan dengan sistem keamanan konvensional. Pengujian menunjukkan bahwa sistem dapat mendeteksi perubahan status pintu secara akurat dengan waktu respons notifikasi kurang dari 2 detik. Hasil ini menunjukkan efektivitas sistem dalam meningkatkan keamanan dan kenyamanan pengguna.
SISTEM MONITORING KUALITAS UDARA DALAM RUANGAN MELALUI DETEKSI GAS, SUHU, DAN KELEMBABAN BERBASIS IOT M. Ramadhan Syahrul Al Qodr; Hudzaifah Nabil Amrullah; Faris Fadhil Dhiaulhaq; Susilawati Sobur
Ar-Rasyid: Jurnal Publikasi Penelitian Ilmiah Vol. 1 No. 5 (2025): Ar-Rasyid: Jurnal Publikasi Penelitian Ilmiah (Bulan November 2025)
Publisher : PT. Saha Kreasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64788/ar-rasyid.v1i5.105

Abstract

This study aims to design and implement an indoor air quality monitoring system based on the Internet of Things (IoT) using the MQ-135 and DHT11 sensors. The MQ-135 sensor is employed to detect hazardous gases such as carbon monoxide (CO), carbon dioxide (CO₂), and volatile organic compounds (VOCs), while the DHT11 sensor measures temperature and humidity. Data from both sensors are processed by an ESP32 microcontroller and displayed locally through an OLED screen, as well as transmitted to the Blynk platform for remote monitoring. Testing was conducted in a room measuring approximately 8×6 meters under three conditions: normal air, cigarette smoke exposure, and post-smoking. The results show that gas concentration levels increased from 150–200 ppm (normal) to 800–900 ppm during smoking, then decreased to 450–550 ppm five minutes after the smoke dissipated. The system successfully monitored air quality changes in real-time with high sensitivity. These findings indicate that integrating IoT-based sensors provides an efficient and low-cost solution for indoor air quality monitoring.
Co-Authors Annastia Reza Dzulha Apriansa Arwandi Panjaitan Faris Fadhil Dhiaulhaq Hudzaifah Nabil Amrullah M. Ramadhan Syahrul Al Qodr