Rancang Bangun Sistem Monitoring pH, Humidity, dan Temperature pada Budidaya Cacing Berbasis IoT

Abimanyu, Haykhel Amirul Akib (2025) Rancang Bangun Sistem Monitoring pH, Humidity, dan Temperature pada Budidaya Cacing Berbasis IoT. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Budidaya cacing tanah (Lumbricus Rubellus) memerlukan parameter kodisi tanah dan lingkungan seperti parameter temperatur, kelembapan, dan pH tanah untuk memastikan agar cacing tanah dapat tetap hidup. Metode tradisional yang digunakan saat ini masih menggunakan pengamatan secara visual dan keterbatasan parameter untuk mengetahui kodisi tanah dan lingkungan hidup cacing, hal tersebut yang membuat kurang akuratnya dalam memantau kondisi tanah dan parameter lingkungan. Oleh karena itu, sistem monitoring berbasis Internet of Things (IoT) dirancang menggunakan sensor DS18B20 untuk temperatur, FC-28 untuk kelembapan, dan sensor pH tanah, dengan ESP32 sebagai mikrokontroler untuk pengolahan data dan komunikasi ke dashboard ThingSpeak serta Google Spreadsheet sebagai database. Hasil pengujian menunjukkan tingkat akurasi sensor DS18B20 sebesar 97,4%, FC-28 sebesar 97,66%, dan sensor pH sebesar 95,03%. Hasil pengujian juga menunjukkan Tingkat presisi sensor DS18B20 sebesar 0,1%, sensor FC-28 sebesar 2,7% dan Sensor pH sebesar 0,49% dengan performa alat yang stabil dan mampu memonitor secara real-time melalui database spreadsheet dan dashboard thingspeak dari mana saja.
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The cultivation of earthworms (Lumbricus rubellus) requires monitoring of soil and environmental parameters such as temperature, humidity, and soil pH to ensure the worms can survive and thrive. Traditional methods currently rely on visual observation and limited parameters, which reduces the accuracy in assessing soil and environmental conditions. Therefore, an Internet of Things (IoT)-based monitoring system was designed using the DS18B20 sensor for temperature, FC-28 for soil moisture, and a soil pH sensor, with the ESP32 microcontroller for data processing and communication to the ThingSpeak dashboard and Google Spreadsheet as a database. Testing results showed the DS18B20 sensor achieved an accuracy rate of 97.4%, the FC-28 sensor 97.66%, and the soil pH sensor 95.03%. The precision levels were 0.1% for DS18B20, 2.7% for FC-28, and 0.49% for the pH sensor. The system demonstrated stable performance and is capable of real-time monitoring via spreadsheets and ThingSpeak dashboards from anywhere.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Sistem monitoring, temperatur, kelembapan, pH, Internet of Things (IoT), monitoring, pH, humidity, temperature, Internet of Things (IoT)
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK351 Electric measurements. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Haykhel Amirul Akib Abimanyu
Date Deposited:	17 Jul 2025 09:50
Last Modified:	17 Jul 2025 09:50
URI:	http://repository.its.ac.id/id/eprint/119951

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