INTEGRASI SENSOR LOADCELL, TCS34725, DAN INFRARED OBSTACLE PADA SISTEM SORTIR UDANG VANAME OTOMATIS BERBASIS IOT 9 2
DOI:
https://doi.org/10.26623/elektrika.v18i2.14658Keywords:
Automatic Sorting, ESP32, Internet of Things, Loadcell, Vannamei ShrimpAbstract
This study presents the development and preliminary functional evaluation of an Internet of Things (IoT)-based vannamei shrimp sorting prototype integrating an ESP32 microcontroller, a load cell with an HX711 module, a TCS34725 color sensor, an infrared obstacle sensor, a conveyor, servo actuators, and a web monitoring system. The prototype implements rule-based sorting using measured weight and the normalized red-channel proportion obtained from RGB sensor readings. The infrared sensor triggers the color-reading and sorting sequence, while the ESP32 directs objects into three predefined output categories. Data are transmitted to a PHP/MySQL-based web monitoring system for recording and visualization. Based on 20 preliminary trials reported for each evaluated component and the sorting mechanism, the agreement with the original functional test criteria was 95% for the load cell, 100% for infrared detection, 85% for color classification, and 90% for the physical sorting mechanism. These percentages describe preliminary functional test outcomes rather than independently validated measurement or freshness-classification accuracy. In particular, the color-based categories have not been verified against independent shrimp freshness assessments. The findings demonstrate the implementation feasibility of sequential sensor-actuator integration and digital monitoring while highlighting the need for reference-based measurement validation, larger-scale testing, and independent freshness assessment.
ABSTRAK
Penelitian ini mengembangkan dan mengevaluasi fungsi awal prototipe sistem sortir udang vaname otomatis berbasis Internet of Things (IoT) dengan mengintegrasikan mikrokontroler ESP32, sensor loadcell dengan modul HX711, sensor warna TCS34725, sensor infrared obstacle, conveyor, motor servo, dan web monitoring. Sistem menerapkan klasifikasi berbasis aturan menggunakan nilai berat serta proporsi kanal merah yang dinormalisasi dari pembacaan RGB. Sensor infrared digunakan sebagai pemicu pembacaan warna dan proses penyortiran, sedangkan ESP32 mengendalikan aktuator untuk mengarahkan objek ke tiga kategori keluaran yang telah ditentukan. Data pembacaan sensor dikirimkan ke sistem web monitoring berbasis PHP dan MySQL untuk pencatatan dan visualisasi. Berdasarkan rekapitulasi 20 kali pengujian awal pada setiap komponen yang dievaluasi dan mekanisme penyortiran, diperoleh tingkat kesesuaian terhadap kriteria pengujian fungsional sebesar 95% pada loadcell, 100% pada infrared obstacle, 85% pada klasifikasi warna, dan 90% pada mekanisme penyortiran fisik. Persentase tersebut merupakan hasil evaluasi fungsional awal dan belum merepresentasikan akurasi pengukuran maupun klasifikasi kesegaran yang tervalidasi secara independen. Khususnya, hubungan antara kategori warna dan tingkat kesegaran udang belum diverifikasi menggunakan penilaian referensi. Hasil penelitian menunjukkan bahwa integrasi sensor, aktuator, dan pencatatan digital dapat diimplementasikan dalam satu prototipe, dengan kebutuhan pengujian lanjutan untuk mengevaluasi validitas pengukuran, klasifikasi, dan performa sistem secara lebih menyeluruh.
Kata Kunci: ESP32, Internet of Things, loadcell, sortir otomatis, udang vaname.
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