Rancang Bangun Alat Pendeteksi Warna Pakaian dengan Output Suara Berbasis Arduino Nano untuk Kemampuan Bina Diri Tunanetra Design and Development of a Clothing Color Detection Device with Voice Output Based on Arduino Nano for the Self-Care Ability of the Visually Impaired
Main Article Content
Abstract
This research aims to design and build a clothing color detection tool with Arduino Nano-based sound output to improve the self-help skills of blind people. The method used is the waterfall model, including the stages of needs analysis, design, implementation, and testing. This tool combines TCS3200 color sensor as input, Atmega328 microcontroller as processing unit, as well as DF Player and Micro SD for sound data processing which is finally displayed through the speaker. In its implementation, the program is made using Arduino IDE to control the color reading and sound output. The test results show that the device is able to accurately detect the color of clothing with a 100% success rate on 10 repeated trials. Tests were carried out on all subsystems, including color sensor input, microcontroller controller, DF Player plant, and speaker output. The resulting tool is portable, flexible, and allows blind people to choose clothes based on color without the help of a third party. Thus, this tool has the potential to support independence in self-help activities and improve the quality of life of users.
Downloads
Citation Metrics & Similar Scopus Articles
-
Chávez-García D.S. (2026)Metabolic status of grazing goat kids in the soil and climatic conditions of Santa Elena, EcuadorVeterinary and Animal Science, 34
-
Ardiansyah I. (2026)Analyzing the internal factors of tourism village competitivenessMultidisciplinary Science Journal, 8(10)
-
Baghdad W. (2026)Impact of chronic REM sleep deprivation on glucose homeostasis, insulin sensitivity, oxidative stress, and histological changes in adult male Wistar ratsSleep Medicine, 146
Article Details

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
Arief, M. (2019). Klasifikasi Kematangan Buah Jeruk Berdasarkan Fitur Warna Menggunakan Metode SVM. Jurnal Ilmu Komputer dan Desain Komunikasi Visual, vol 4, 9-16.
Arijaya, I. M. N. (2019). Rancang Bangun Alat Konveyor Untuk Sistem Soltir Barang Berbasis Mikrokontroler Arduino Uno. Jurnal RESISTOR (Rekayasa Sistem Komputer), 2(2), 126-135.
Bambang Tutuko, Firdaus, Ahmad Zarkasi. (2018). Pelatihan pengenalan aplikasi robotika pada siswa SMP negeri 1 Palembang. Vol.4 No.1 (hal 26-27).
Elektronika Dasar. [Online]. http://elektronika-dasar.web.id// .
Eliyani., Tulus., Fahmi.F. (2013). Pengenalan Tingkat Kematangan Buah Pepaya Paya Rabo Menggunakan Pengolahan Citra Berdasarkan Warna RGB Dengan K-Means Clustering. SINGUDA ENSIKOM.
Indra Hading Kurniawan & Nurcahyani Dewi Retnowati. (2018), Pengenalan Warna Berbasis Android Menggunakan Metode Template Matching. Departemen Informatika Sekolah Tinggi Teknologi Adisutjipto Yogyakarta, 1-7.
Narahawarin, P., Sudarsono. G. B., & Suparto. J. (2022). Rancang bangun alat penyortir buah jeruk Berdasarkan warna dengan sensor TCS3200. Jurnal Sains dan Teknologi Wijaya, vol. 1, (2).
Reza Febri Abadi, dkk. (2022). Efektivitas Penggunaan Alat Pendeteksi Warna Terhadap Kemampuan Bina Diri Tunanetra. Jurnal Unik:Pendidikan Luar Bias,7(1), 2-4.
Sayidatul Maslahah & Tin Suharmini. (2019). Pengaruh Aplikasi Color Detector For Blind On Based Android (CODA) Terhadap Pengenalan Warna Bagi Penyandang Tunanetra Di Yogyakarta. JPK (Jurnal pendidikan Khusus), 14(1), 8-10.






