PROTOTIPE PENGUKURAN SUHU, KELEMBAPAN DAN ESTIMASI PARTIKEL DEBU DI RUANGAN BERBASIS IoT

ANDIKA RIZKI RAMANDA, . (2026) PROTOTIPE PENGUKURAN SUHU, KELEMBAPAN DAN ESTIMASI PARTIKEL DEBU DI RUANGAN BERBASIS IoT. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Kualitas lingkungan dalam ruangan dipengaruhi oleh suhu, kelembapan, dan estimasi konsentrasi partikel debu. Pemantauan secara manual kurang efektif sehingga diperlukan prototipe yang mampu melakukan pengukuran serta menyediakan fasilitas monitoring dan kendali jarak jauh berbasis Internet of Things (IoT). Penelitian prototipe pengukuran suhu, kelembapan dan estimasi partikel debu diruangan berbasis IoT bertujuan mengembangkan prototipe pengukuran suhu, kelembapan, dan estimasi konsentrasi partikel debu berbasis IoT menggunakan mikrokontroler ESP32 dengan aplikasi Blynk sebagai media monitoring dan kendali jarak jauh. Penelitian prototipe pengukuran suhu, kelembapan dan estimasi partikel debu diruangan berbasis IoT menggunakan metode Research and Development (R&D) dengan pendekatan V-Model yang meliputi requirement analysis, system design, architectural design, module design, coding, unit testing, integration testing, system testing, dan final functional testing. Prototipe dibangun menggunakan ESP32, sensor DHT22, sensor GP2Y1010AU0F, modul RTC DS3231, sensor magnet MC-38, modul relay, LCD 16×2, exhaust fan, lampu UV-C, dan aplikasi Blynk. Penelitian prototipe pengukuran suhu, kelembapan dan estimasi partikel debu diruangan berbasis IoT terbatas pada estimasi konsentrasi partikel debu menggunakan sensor GP2Y1010AU0F yang tidak mengukur PM2.5 dan PM10 secara spesifik, sedangkan pengujian lampu UV-C hanya dilakukan pada fungsi ON/OFF tanpa menguji efektivitas sterilisasi mikroorganisme. Hasil pengujian menunjukkan bahwa sensor DHT22 mampu mengukur suhu dalam rentang 23–26 °C dan kelembapan dalam rentang 55–57 %RH, dengan rata-rata kesalahan pengukuran sebesar 2,54% untuk suhu dan 2,10% untuk kelembapan dibandingkan alat pembanding. Sensor GP2Y1010AU0F mampu mengukur estimasi konsentrasi partikel debu dalam rentang 20–24 µg/m³, dengan rata-rata kesalahan pengukuran sebesar 3,39% dibandingkan alat pembanding. Pengujian fungsional terhadap relay, LCD 16×2, RTC DS3231, sensor magnet MC-38, exhaust fan, lampu UV-C, dan komunikasi dengan aplikasi Blynk menunjukkan bahwa seluruh komponen berfungsi sesuai rancangan pada kondisi pengujian penelitian. Dengan demikian, prototipe yang dikembangkan mampu melakukan pengukuran suhu, kelembapan, dan estimasi konsentrasi partikel debu serta menyediakan fasilitas monitoring dan kendali jarak jauh melalui aplikasi Blynk. (*****) Indoor environmental quality is influenced by temperature, humidity, and estimated dust particle concentration. Manual monitoring is less effective, so a prototype that can perform measurements and provide remote monitoring and control via the Internet of Things (IoT) is needed. This study aims to develop an IoT-based prototype for measuring temperature, humidity, and estimating dust particle concentration using an ESP32 microcontroller with the Blynk app as a medium for remote monitoring and control. This research uses the Research and Development (R&D) method with a V-Model approach, which includes requirement analysis, system design, architectural design, module design, coding, unit testing, integration testing, system testing, and final functional testing. The prototype is built using ESP32, DHT22 sensor, GP2Y1010AU0F sensor, DS3231 RTC module, MC-38 magnetic sensor, relay module, 16×2 LCD, exhaust fan, UV-C light, and the Blynk app. This study is limited to estimating dust particle concentration using the GP2Y1010AU0F sensor, which doesn’t specifically measure PM2.5 and PM10, while UV-C light testing was only done with the ON/OFF function without checking its effectiveness in sterilizing microorganisms. The test results showed that the DHT22 sensor could measure temperature in the range of 23–26 °C and humidity in the range of 55–57 %RH, with an average measurement error of 2.54% for temperature and 2.10% for humidity compared to the reference device. The GP2Y1010AU0F sensor was able to estimate dust particle concentration in the range of 20–24 µg/m³, with an average measurement error of 3.39% compared to the reference device.Functional testing of the relay, 16×2 LCD, DS3231 RTC, MC-38 magnetic sensor, exhaust fan, UV-C lamp, and communication with the Blynk app showed that all components worked according to the design under the research testing conditions. Therefore, the developed prototype is capable of measuring temperature, humidity, and estimating dust particle concentration, as well as providing remote monitoring and control through the Blynk app.

Item Type:	Thesis (Sarjana)
Additional Information:	1). Drs, Pitoyo Yuliatmojo, M.T. ; 2). Vina Oktaviani, S.Pd., M.T.
Subjects:	Teknologi dan Ilmu Terapan > Teknik Elektronika
Divisions:	FT > S1 Pendidikan Teknik Elektronika
Depositing User:	Andika Rizki Ramanda .
Date Deposited:	12 Aug 2026 02:39
Last Modified:	12 Aug 2026 02:39
URI:	http://repository.unj.ac.id/id/eprint/69495

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