RANCANG BANGUN DAN PENGUJIAN TIMBANGAN DIGITAL BERBASIS ESP32-S3, DENGAN KELUARAN SUARA, DAN PENCATATAN DATA BERBASIS GOOGLE SHEETS UNTUK MENDUKUNG AKSESIBILITAS DIFABEL NETRA

Iin Aprilia Lestari, NIM.: 21106020004 (2026) RANCANG BANGUN DAN PENGUJIAN TIMBANGAN DIGITAL BERBASIS ESP32-S3, DENGAN KELUARAN SUARA, DAN PENCATATAN DATA BERBASIS GOOGLE SHEETS UNTUK MENDUKUNG AKSESIBILITAS DIFABEL NETRA. Skripsi thesis, UIN SUNAN KALIJAGA YOGYAKARTA.

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	Text (RANCANG BANGUN DAN PENGUJIAN TIMBANGAN DIGITAL BERBASIS ESP32-S3, DENGAN KELUARAN SUARA, DAN PENCATATAN DATA BERBASIS GOOGLE SHEETS UNTUK MENDUKUNG AKSESIBILITAS DIFABEL NETRA) 21106020004_BAB-II_sampai_SEBELUM-BAB-TERAKHIR.pdf Restricted to Registered users only Download (6MB) | Request a copy

Abstract

Fairness and transparency in the weighing process are essential principles in commercial transactions, particularly for visually impaired consumers who have limited access to visual information provided by conventional digital scales. This condition may lead to information errors, dependence on sellers, and potential losses in buying and selling activities. This study aims to design, develop, and test a digital weighing scale based on the ESP32-S3 microcontroller equipped with voice output and automatic data recording using Google Sheets to support accessibility for visually impaired users. The research method consists of three main stages: design, implementation, and testing. During the design stage, system block diagrams were prepared, electronic circuit schematics were designed using Fritzing, hardware physical designs were developed using SketchUp, and software flowcharts were created using the web-based draw.io platform. The system is designed using a load cell sensor as input, an HX711 module as a signal amplifier and analog-to-digital converter, and the ESP32-S3 microcontroller as the main controller. Measurement results are displayed visually on an LCD, delivered audibly through a speaker, and automatically recorded in Google Sheets using Google Apps Script as a cloud-based communication medium. The results show that the system was successfully developed and operated properly. The digital scale achieved an average accuracy of 99.74%, a repeatability precision of 99.58%, and an intermediate precision of 99.57%. In addition, accessibility testing for visually impaired users obtained an average Likert Scale index of 96.43%, categorized as very good. Therefore, the developed digital scale is informative and supports accessibility for visually impaired users; however, its measurement performance still requires further improvement to fully comply with the allowable limits of error (Maximum Permissible Errors) in accordance with applicable commercial standards.

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