Mufidah, Hasna (2021) Rancang Bangun Sistem Monitoring Suhu, pH, Turbidity Berbasis LoRa (Long Range) Guna Meningkatkan Kualitas Hasil Panen. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
Text
10511710000057-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2023. Download (2MB) | Request a copy |
Abstract
Melakukan monitoring suhu, pH, kekeruhan kolam secara periodik dalam setiap harinya dilakukannya masih secara manual. Pemilik harus datang ke kolam setiap saat, sehingga hal tersebut menjadi kurang efisien dan menyita waktu. Mempertimbangkan dari masalah tersebut maka dibuatlah pembuatan dan pengembangan alat sistem monitoring kualitas air pada tahapan pembesaran (indukan) ikan bandeng dengan meggunakan komunikasi LoRa (Long Range). Pada proses monitoring kualitas air kolam ikan bandeng ini menggunakan sensor NTC dengan dilapisi sealant agar anti air, sensor pH 4502C elctrode probe, Analog Turbidity Sensor dan menggunakan Dragino LT-32222 sebagai controller. Dari ketiga variabel yang diukur tersebut digunakan sebagai parameter kondisi air kolam ikan bandeng dalam keadaan kondisi layak atau tidak layak. Pengujian peformansi pada sistem monitoring kualitas air kolam ikan bandeng berbasis LoRa (Long Range) secara jarak jauh dan efisien mampu mengirimkan data secara jarak jauh dan efisien ketika node sensor di letakkan menjauhi gateway dengan jarak 1 meter, 5 meter, 10 meter, 15 meter, hingga 20 meter dengan interval waktu pengiriman data adalah setiap 60 detik sekali. Hasil pengujian LoRa menunjukkan bahwa sistem yang dibangun mampu memberikan data dan merespons setiap perubahan pada lingkungan yang dipantau dengan melihat hasil dari RSSI dan nilai SNR yang dihasilkan saat transmisi data berlangsung. Pengujian jarak lima meter diketahui bahwa paling baik dalam mengirimkan data dari kelima pengujian jarak LoRa, dengan nilai RSSI -79 dBm dan SNR 9 dB.
=====================================================================================================
Monitoring the temperature, pH, turbidity of the pond periodically each day is done still manually. The owner has to come to the pool at all times, so it becomes less efficient and time-consuming. Considering the problem, the manufacture, and development of water quality monitoring system tools at the stage of enlargement(inductees) of milkfish using LoRa (Long Range) communication. In the process of monitoring the water quality of the pond milkfish using NTC sensor with coated sealant to be waterproof, sensor pH 4502C electrode probe, Analog Turbidity Sensor and use Dragino LT-32222 as controller. Of the three variables measured is used as a parameter of the water condition of the pond milkfish in a state of decent condition or unfit. Performance testing on the water quality monitoring system of LoRa-based long-range fish ponds is able to transmit data remotely and efficiently when the sensor node is placed away from the gateway with a distance of 1 meter, 5 meters, 10 meters, 15 meters, up to 20 meters with a data transmission time interval is every 60 seconds. LoRa's test results show that the built system is capable of providing data and responding to any changes to the monitored environment by looking at the results of the RSSI and the SNR values generated during data transmission. The five-meter distance test is known to be best at transmitting data from all five LoRa distance tests, with RSSI values of -79 dBm and SNR of 9 dB.
Item Type: | Thesis (Undergraduate) |
---|---|
Uncontrolled Keywords: | Temperature, pH, turbidity, LoRa (Long Range), Suhu |
Subjects: | T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T58.8 Productivity. Efficiency T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments |
Divisions: | Faculty of Vocational > Instrumentation Engineering |
Depositing User: | Hasna Mufidah |
Date Deposited: | 25 Aug 2021 08:58 |
Last Modified: | 25 Aug 2021 08:58 |
URI: | http://repository.its.ac.id/id/eprint/89449 |
Actions (login required)
View Item |