“BEAUTYGUARD: RANCANG BANGUN SISTEM MONITORING PAPARAN ULTRAVIOLET DAN SUHU KULIT UNTUK REKOMENDASI PERAWATAN BERBASIS INTERNET OF THINGS”

Abstrak

Peningkatan kesadaran masyarakat terhadap kesehatan dan perlindungan kulit mendorong kebutuhan akan sistem monitoring paparan Ultraviolet (UV) dan suhu kulit yang berbasis data. Paparan UV berlebih berisiko menyebabkan penuaan dini, hiperpigmentasi, hingga gangguan kulit lainnya, sementara suhu permukaan kulit dapat menjadi indikator respons fisiologis terhadap lingkungan. Praktik perlindungan kulit saat ini masih banyak bergantung pada estimasi subjektif tanpa dukungan pengukuran kuantitatif yang terintegrasi. Penelitian ini bertujuan merancang dan merealisasikan BeautyGuard, yaitu sistem monitoring paparan UV dan suhu kulit berbasis Internet of Things (IoT) yang mampu memberikan rekomendasi perlindungan kulit secara real-time melalui mekanisme berbasis aturan (rule-based system). Sistem menggunakan mikrokontroler ESP32 sebagai pusat kendali yang menerima data dari sensor ultraviolet GY-ML8511 dan sensor suhu non-kontak MLX90614, dengan hasil pengukuran dan rekomendasi ditampilkan melalui layar OLED 0,96 inci I2C. Metode penelitian meliputi studi literatur, pengumpulan data ambang batas indeks UV dan suhu kulit, perancangan perangkat keras dan perangkat lunak, pengujian akurasi sensor dan waktu respons sistem, serta analisis kesesuaian rekomendasi yang dihasilkan. Hasil pengujian awal menunjukkan sensor UV mampu mendeteksi variasi paparan pada rentang nilai 1,5–5,1 pada pengukuran pukul 09.00–17.00 WIB, dengan waktu deteksi sistem 1,1–1,4 detik dan waktu tampil rekomendasi 1,8–2,5 detik, seluruhnya berada di bawah target waktu respons maksimal 3 detik. Sistem rekomendasi berbasis aturan berhasil menghasilkan lima tingkat saran perlindungan kulit sesuai kombinasi nilai UV dan suhu terukur. Prototipe BeautyGuard yang bersifat portabel, mandiri (standalone embedded system), dan aplikatif ini berpotensi menjadi alat bantu praktis di bidang tata rias dan perawatan kecantikan dalam menentukan tindakan perlindungan kulit berdasarkan kondisi paparan lingkungan secara objektif.

Growing public awareness of skin health and protection has increased the need for a data-driven monitoring system for Ultraviolet (UV) exposure and skin temperature. Excessive UV exposure risks premature aging, hyperpigmentation, and other skin disorders, while skin surface temperature can indicate physiological responses to the environment. Current skin-protection practices still largely rely on subjective estimation without integrated quantitative measurement. This study aims to design and realize BeautyGuard, an IoT-based monitoring system for UV exposure and skin temperature capable of providing real-time skin-protection recommendations through a rule-based mechanism. The system uses an ESP32 microcontroller as the control center, receiving data from a GY-ML8511 ultraviolet sensor and an MLX90614 non-contact temperature sensor, with measurement results and recommendations displayed on a 0.96-inch I2C OLED screen. The research method includes a literature review, collection of UV index and skin temperature threshold data, hardware and software design, sensor accuracy and system response-time testing, and analysis of the resulting recommendation's suitability. Preliminary test results show the UV sensor detected exposure variation in the range of 1.5–5.1 during measurements from 09:00 to 17:00 WIB, with a system detection time of 1.1–1.4 seconds and a recommendation display time of 1.8–2.5 seconds, both within the maximum 3-second response-time target. The rule-based recommendation system successfully produced five levels of skin-protection advice based on combinations of measured UV and temperature values. The resulting BeautyGuard prototype — portable, self-contained (a standalone embedded system), and applicable — has potential as a practical tool in the cosmetology and beauty-care field for determining skin-protection actions based on objectively measured environmental exposure conditions.