DOI of the published article https://doi.org/10.25124/jett.v10i1.6209
Design of Papaya Fruit Ripeness Detection Toll Based on the Colour of the Fruit Skin Based on Arduino
Rancang Bangun Alat Deteksi Kematangan Buah Pepaya Berdasarkan Warna pada Kulit Buah Berbasis Arduino
DOI:
https://doi.org/10.21070/ups.2556Keywords:
color sensor tcs3200, papaya, lcd , buzzer, ArduinoAbstract
This research aims to design and build a papaya fruit maturity detection tool based on the colour of the fruit skin using Arduino TCS3200, LCD, and Buzzer. The tool made in this study can help farmers or laymen in identifying the level of ripeness of papaya fruit quickly and accurately. This tool uses a TCS3200 colour sensor to measure the colour of the fruit with precision. Arduino acts as the brain of the system that receives data from the colour sensor and performs analysis to identify the ripeness level of papaya fruit. The results of the fruit ripeness analysis are displayed on the LCD screen. In addition, this tool is also equipped with a buzzer that provides sound notification when the fruit has reached the desired level of ripeness. This study obtained the results of RGB values 225,215,0 on papaya fruit that detected its maturity.
Downloads
References
T. Mirani, E. Sinduningrum, and A. R. Dzikrillah, “Rancang Bangun Sistem Pengenalan Citra untuk Tingkat Kematangan Buah Pepaya California Berdasarkan Warna Berbasis,” Prosiding Seminar Nasional Teknoka, vol. 3, 2019, doi: 10.22236/teknoka.v3i0.2896.
K. B. D. R. Nur Widyasari, U. D. Rosiani, and A. N. Pramudhita, “Implementasi Sistem Pendeteksi Tingkat Kematangan Buah Pepaya Menggunakan Metode RGB,” SMATIKA JURNAL, vol. 11, no. 01, 2021, doi: 10.32664/smatika.v11i01.536.
A. Firlansyah, A. B. Kaswar, and A. A. N. Risal, “Klasifikasi Tingkat Kematangan Buah Pepaya Berdasarkan Fitur Warna Menggunakan Jaringan Syaraf Tiruan,” Techno Xplore Jurnal Ilmu Komputer dan Teknologi Informasi, vol. 6, no. 2, 2021.
M. L. Taris, W. D. Widodo, and K. Suketi, “Kriteria Kemasakan Buah Pepaya (Carica papaya L.) IPB Callina dari Beberapa Umur Panen,” Jurnal Hortikultura Indonesia, vol. 6, no. 3, 2015, doi: 10.29244/jhi.6.3.172-176.
A. Wibowo, P. Poningsih, I. Parlina, S. Suhada, and A. Wanto, “RANCANG BANGUN MESIN SORTIR BUAH KELAPA SAWIT BERDASARKAN TINGKAT KEMATANGAN MENGGUNAKAN SENSOR WARNA TCS3200 BERBASIS ARDUINO UNO,”STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer, vol. 1, no. 2, pp. 9–15, May 2022, doi: 10.55123/storage.v1i2.305.
D. A. Nano, “Alat Pendeteksi Warna Menggunakan Sensor Warna Tcs3200,” Alat Pendeteksi Warna Menggunakan Sensor Warna Tcs3200 Dan Arduino Nano, vol. 1, no. November, 2018.
H. Prabowo, “Deteksi Kondisi Kematangan Buah Jeruk Berdasarkan Kemiripan Warna Pada Ruang Warna RGB Berbasis Android,” Jurnal Elektronik Sistem Informasi dan Komputer, vol. 3, no. 2, 2017.
H. Suyono and H. Hambali, “Perancangan Alat Pengukur Kadar Gula dalam Darah Menggunakan Teknik NonInvasive Berbasis Mikrokontroler Arduino Uno,” JTEV (Jurnal Teknik Elektro dan Vokasional), vol. 6, no. 1, p. 69, Jan. 2020, doi: 10.24036/jtev.v6i1.107482.
A. Kurniawan, “Alat Bantu Jalan Sensorik bagi Tunanetra,” INKLUSI, vol. 6, no. 2, p. 285, Nov. 2019, doi: 10.14421/ijds.060205.
M. J. Arrofi, M. Ramdani, and Estananto, “Perancangan Alat Bantu Untuk Penderita Tunanetra Dengan Sensor Ultrasonik Menggunakan Logika Fuzzy Aiding Tool Design for Blind People Using Ultrasonic,” e-Proceeding of Engineering, vol. 4, no. 2, 2017.
Downloads
Additional Files
Posted
License
Copyright (c) 2023 UMSIDA Preprints Server
This work is licensed under a Creative Commons Attribution 4.0 International License.
