@misc{eprints82630,
           month = {Agustus},
           title = {PENGEMBANGAN DAN IMPLEMENTASI BACKEND \& REST-API
DASHBOARD IOT PADA INTELLIGENCE CONTROL SYSTEM (ICS)
SMART GREENHOUSE MENGGUNAKAN PROTOKOL MQTT},
          author = {Siddiqie Asmara M. Affan },
         address = {FAKULTAS TEKNIK},
       publisher = {UNIVERSITAS LAMPUNG},
            year = {2024},
             url = {http://digilib.unila.ac.id/82630/},
        abstract = {Smart Greenhouse merupakan sistem rumah kaca yang menggunakan teknologi dan
IoT dalam mengoptimalkan kondisi pertumbuhan tanaman, Intelligence control
system mencakup berbagai sensor yang akan melakukan pemantauan terhadap
parameter lingkungan, aktuator, dan climate daalam greenhouse. Penelitian ini
bertujuan untuk mengembangkan dan mengimplementasikan backend dashboard
IoT intelligence control system (ICS) di smart greenhouse menggunakan protokol
MQTT. Penelitian ini menggunakan metode pengembangan sistem dengan
pendekatan Software Development Life Cycle (SDLC) prototype. Tahap pengujian
dilakukan melalui pengujian performa REST-API yang dirancang untuk
memastikan fungsionalitas dan kinerja yang optimal. Hasil pengujian menunjukkan
bahwa API yang dikembangkan, terutama pada endpoint dengan frekuensi
permintaan tinggi, memiliki respon time rata-rata 286 ms dan error rate 0,01\%,
yang memenuhi harapan kinerja sistem. Selain itu, hasil pengujian throughput
menunjukkan bahwa API mampu menangani beban permintaan dengan baik,
meskipun terdapat kompleksitas pada beberapa endpoint yang mempengaruhi
kinerja. Berdasarkan hasil penelitian, API yang dikembangkan dapat memnuhi
harapan dan sesuai untuk digunakan dalam pengembangan dashboard monitoring
AGRI-ICS.

Kata kunci : Backend, MQTT, VPS, Database, Rest API, Software Development Life
Cycle (SDLC)


Smart Greenhouse is a greenhouse system that uses technology and IoT in
optimizing plant growth conditions, Intelligence control system includes various
sensors that will monitor environmental parameters, actuators, and climate in the
greenhouse. This research aims to develop and implement an IoT intelligence
control system (ICS) dashboard backend in a smart greenhouse using the MQTT
protocol. This research uses a system development method with a prototype
Software Development Life Cycle (SDLC) approach. The testing phase is carried
out through REST-API performance testing designed to ensure optimal functionality
and performance. The test results show that the developed API, especially on
endpoints with high frequency of requests, has an average response time of 286 ms
and an error rate of 0.01\%, which meets system performance expectations. In
addition, the throughput test results show that the API is able to handle the request
load well, although there are complexities in some endpoints that affect
performance. Based on the research results, the API developed can meet
expectations and is suitable for use in the development of the AGRI-ICS monitoring
dashboard.

Keywords : Backend, MQTT, VPS, Database, Rest API, Software Development Life
Cycle (SDLC)
}
}