RANCANG BANGUN PROTOTIPE SISTEM PEMANTAUAN DAN PENGENDALIAN ATAP TEMPAT PENGERINGAN PRODUK OLAHAN RUMPUT LAUT BERBASIS SENSOR HUJAN, SENSOR CAHAYA, DAN MESSAGE QUEUING TELEMETRY TRANSPORT (MQTT)

Muhammad Fauzan Al Muqorrabyn, NIM.: 18106020023 (2023) RANCANG BANGUN PROTOTIPE SISTEM PEMANTAUAN DAN PENGENDALIAN ATAP TEMPAT PENGERINGAN PRODUK OLAHAN RUMPUT LAUT BERBASIS SENSOR HUJAN, SENSOR CAHAYA, DAN MESSAGE QUEUING TELEMETRY TRANSPORT (MQTT). Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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Abstract

This research aimed to design, characterize, manufacture, and test a system prototype for roof monitoring and controlling the drying area of processed seaweed products based on a rain sensor, a light sensor, and MQTT. This research was conducted in four stages: designing, characterization of the LDR sensor, manufacturing, and testing the system prototype for roof monitoring and control. A prototype of the system was made using Figma and Tinkercad software. The characterization of the LDR sensor was completed in two steps: data collection and processing. Data collection was carried out by turning on incandescent or LED lamps, which were regulated using an AC 0–220 V dimmer, and data processing was carried out to obtain the transfer function using a simple linear regression equation. The prototype of the system was completed in two steps, namely hardware and software manufacturing. Hardware manufacturing included component assembly, roof fabrication, and subsystem installation. Software manufacturing included converting the output voltage of the LDR sensor to lux units, writing system programs on the Arduino IDE, and making system prototype monitoring displays. Testing of the system prototype included testing of the raindrop sensor subsystem, the LDR sensor subsystem, and the entire system prototype. Testing of the raindrop sensor subsystem was completed using water with three different treatments. Testing the LDR sensor subsystem was completed by turning on the incandescent or LED lamp, which was regulated using an AC 0–220 V dimmer. Testing the whole system prototype was done by testing the roof control. The results of this research indicate that the system prototype has been successfully designed and fabricated using a rain sensor, a light sensor, and MQTT. The LDR sensor was successfully characterized by obtaining a transfer function V = (0.1637 + 0.0029 I) volts. The system prototype was successfully tested with success percentage value of raindrop sensor subsystem was 100.00%, accuracy value of LDR sensor subsystem accuracy value was 95.81%, repeatability precision value of LDR sensor subsystem was 99.51%, and success percentage value of whole system prototype was 100.00%.

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