Please use this identifier to cite or link to this item: https://repositori.uma.ac.id/handle/123456789/29668
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dc.contributor.advisorSiregar, Muhammad Fadlan-
dc.contributor.authorArrasyid, Ridwan-
dc.date.accessioned2026-04-06T03:22:19Z-
dc.date.available2026-04-06T03:22:19Z-
dc.date.issued2025-08-26-
dc.identifier.urihttps://repositori.uma.ac.id/handle/123456789/29668-
dc.description70 Halamanen_US
dc.description.abstractAC (Air Conditioner) adalah perangkat elektronik yang umum digunakan untuk menjaga kenyamanan suhu ruangan. Filter AC yang kotor akibat akumulasi debu dapat menurunkan efisiensi, kualitas udara, dan meningkatkan konsumsi energi. Penelitian ini bertujuan merancang alat pemantau dan peringatan kebersihan AC split berbasis Internet of Things (IoT). Sistem menggunakan NodeMCU ESP32, sensor debu PM10, sensor suhu dan kelembaban BME280, layar OLED, LED RGB, dan buzzer. Data dari sensor dikirimkan ke aplikasi Blynk secara real-time melalui Wi-Fi, sehingga pengguna dapat memantau kondisi filter AC dari smartphone atau laptop. LED dan buzzer digunakan sebagai indikator peringatan berdasarkan tingkat kepadatan debu (level 1 hingga level 3). Hasil pengujian menunjukkan sistem mampu mendeteksi kualitas udara secara akurat, merespon cepat terhadap perubahan, serta memberikan notifikasi efektif. Alat ini memudahkan pengguna menentukan waktu yang tepat untuk membersihkan filter AC. Air conditioners (AC) are electronic devices commonly used to maintain room temperature comfort. However, dirty filters due to dust accumulation can reduce efficiency, degrade air quality, and increase energy consumption. This study aims to design a monitoring and alert system for split AC cleanliness using the Internet of Things (IoT). The system uses a NodeMCU ESP32, PM10 dust sensor, BME280 temperature and humidity sensor, OLED display, RGB LED, and buzzer. Sensor data is transmitted in real-time via Wi-Fi to the Blynk application, allowing users to monitor AC filter conditions through a smartphone or laptop. Visual indicators and buzzer alerts are triggered based on dust density levels (from level 1 to level 3). Test results show the system accurately detects air quality, responds quickly to environmental changes, and delivers effective notifications, helping users determine the optimal time to clean the AC filter.en_US
dc.language.isoiden_US
dc.publisherUniversitas Medan Areaen_US
dc.relation.ispartofseriesNPM;218120019-
dc.subjectSplit ACen_US
dc.subjectIoTen_US
dc.subjectPM10 Sensoren_US
dc.subjectBlynken_US
dc.subjectMonitoringen_US
dc.titleRancang Bangun Alat Pemantau dan Peringatan Kebersihan AC Spilit dengan Sensor Dust Berbasis IoTen_US
dc.title.alternativeDesign and Construction of a Split AC Cleanliness Monitoring and Warning Device with an IoT-Based Dust Sensoren_US
dc.typeThesisen_US
Appears in Collections:SP - Electrical Engineering

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218120019 - Ridwan Arrasyid - Chapter IV.pdf
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