FADHILAH YASMIN MINTHE, NPM 2208100022 (2026) RANCANG BANGUN PADA SISTEM PENDETEKSI SINAR UV UNTUK HIMBAUAN KESEHATAN MANUSIA BERBASIS IOT. Skripsi thesis, Universitas Labuhanbatu.
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Abstract
Paparan sinar ultraviolet (UV) yang berlebihan berpotensi menimbulkan gangguan kesehatan, antara lain kulit terbakar, iritasi pada mata, serta meningkatnya risiko kanker kulit. Kondisi ini menjadi relevan di Indonesia karena sebagai negara tropis, intensitas UV cenderung tinggi hampir sepanjang tahun. Penelitian ini bertujuan merancang sistem pendeteksi sinar UV berbasis Internet of Things (IoT) sebagai media himbauan kesehatan bagi masyarakat. Sistem memanfaatkan sensor GUVA-S12SD untuk membaca intensitas UV dan mikrokontroler ESP32 sebagai pengolah data sekaligus penghubung ke jaringan internet. Data hasil pembacaan ditampilkan pada LCD dan dikirim ke platform ThingSpeak untuk pemantauan daring. Selain itu, sistem dilengkapi notifikasi otomatis melalui WhatsApp ketika nilai UV berada pada kategori berbahaya. Penelitian dilaksanakan di Perumahan Graha Kompas Idaman (Perumahan Marisi), Rantauprapat. Hasil pengujian menunjukkan bahwa sistem mampu mendeteksi intensitas UV, menyajikan data secara real-time, serta mengirimkan peringatan kepada pengguna. Dengan demikian, sistem ini diharapkan membantu masyarakat meningkatkan kewaspadaan terhadap paparan sinar UV dan mengambil langkah pencegahan sebelum beraktivitas di luar ruangan. Kata kunci: Internet of Things (IoT), Sinar Ultraviolet, ESP32, Sensor GUVA- S12SD, ThingSpeak, WhatsApp ======================================================================================== Excessive exposure to ultraviolet (UV) radiation may lead to health problems such as sunburn, eye irritation, and a higher risk of skin cancer. This issue is particularly relevant in Indonesia, where UV intensity remains relatively high throughout the year. This study aims to design an Internet of Things (IoT)- based UV detection system intended to deliver health warnings to the public. The system uses a GUVA-S12SD sensor to measure UV intensity and an ESP32 microcontroller as the main controller and internet interface. Measurement data are shown on an LCD and uploaded to ThingSpeak for online monitoring. In addition, the system sends automatic WhatsApp notifications when the UV level reaches a hazardous category. The study was conducted in the Graha Kompas Idaman residential area, Rantauprapat. The results indicate that the system can detect UV intensity, present data in real time, and deliver warning messages to users. Therefore, the system is expected to improve public awareness of UV exposure and support preventive actions before outdoor activities. Keywords: Internet of Things (IoT), Ultraviolet Radiation, ESP32, GUVA-S12SD Sensor, ThingSpeak, WhatsApp
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | Internet of Things (IoT), Sinar Ultraviolet, ESP32, Sensor GUVA- S12SD, ThingSpeak, WhatsApp=============Internet of Things (IoT), Ultraviolet Radiation, ESP32, GUVA-S12SD Sensor, ThingSpeak, WhatsApp |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science R Medicine > R Medicine (General) T Technology > T Technology (General) Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4450 Databases |
| Divisions: | Fakultas Sains Dan Teknologi > Teknologi Informasi |
| Depositing User: | Unnamed user with email repository@ulb.ac.id |
| Date Deposited: | 29 Apr 2026 02:55 |
| Last Modified: | 29 Apr 2026 02:55 |
| URI: | http://repository.ulb.ac.id/id/eprint/2187 |
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