%0 Generic
%A 	Auliya , Syahputra Siregar	
%C UNIVERSITAS LAMPUNG 
%D 2024
%F eprints:82367
%I EKONOMI DAN BISNIS 
%T IMPLEMENTASI SISTEM MONITORING KLIMATOLOGI MIKRO  PADA TANAMAN HORTIKULTURA DALAM SMART GREENHOUSE    BERBASIS INTERNET OF THINGS
%U http://digilib.unila.ac.id/82367/
%X Penelitian ini mengembangkan sistem monitoring klimatologi mikro berbasis  Internet of Things (IoT) untuk tanaman hortikultura dalam smart greenhouse.  Sistem ini memanfaatkan sensor kecepatan angin, arah angin, tekanan udara, suhu,  dan kelembaban udara untuk memantau dan mengendalikan kondisi lingkungan  secara real-time dan efisien. Implementasi ini bertujuan meningkatkan efektivitas  pengelolaan iklim mikro, sehingga menciptakan kondisi optimal bagi pertumbuhan  tanaman. Data yang dikumpulkan diintegrasikan dengan Intelligence Control  System (ICS), mendukung pengelolaan operasional greenhouse yang efisien  meskipun detail implementasi ICS tidak dibahas dalam penelitian ini. Pengujian  lapangan dari Maret hingga Mei 2024 mengumpulkan data setiap dua detik yang  dikirimkan ke server MQTT. Hasil menunjukkan bahwa sensor DHT22 dan  BMP388 memiliki keandalan tinggi dengan persentase data normal sekitar 84,49%,  sedangkan sensor arah angin mencapai 83,39%. Sensor kecepatan angin, dengan  persentase 71,62%, mengalami penurunan karena non-aktifnya sensor setelah 20  Mei. Sistem monitoring ini terbukti efektif dalam mendukung pengelolaan  greenhouse dengan menyediakan data akurat dan andal untuk keputusan  manajemen yang tepat, serta mendukung pertanian berkelanjutan melalui efisiensi  penggunaan sumber daya dan pengurangan dampak lingkungan.  Kata Kunci: Smart Greenhouse, Internet of Things (IoT), Sistem Monitoring  Klimatologi Mikro, Pertanian Presisi, Intelligence Control System (ICS).  This study developed a microclimate monitoring system based on the Internet of  Things (IoT) for horticultural plants in a smart greenhouse. The system utilizes  wind speed, wind direction, air pressure, temperature, and humidity sensors to  monitor and control environmental conditions in real-time and efficiently. The  implementation aims to enhance the effectiveness of microclimate management,  thereby creating optimal conditions for plant growth. The collected data is  integrated with an Intelligence Control System (ICS), supporting efficient  operational management of the greenhouse, although the details of ICS  implementation are not discussed in this study. Field testing from March to May  2024 collected data every two seconds, which was transmitted to an MQTT server.  The results showed that the DHT22 and BMP388 sensors had high reliability, with  normal data percentages of around 84.49%, while the wind direction sensor  achieved 83.39%. The wind speed sensor, with a percentage of 71.62%,  experienced a decline due to the sensor being deactivated after May 20. This  monitoring system proved effective in supporting greenhouse management by  providing accurate and reliable data for informed decision-making, and it supports  sustainable agriculture through efficient resource use and reduced environmental  impact.  Keywords: Smart Greenhouse, Internet of Things (IoT), Microclimate Monitoring