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All Journal RESOLUSI : REKAYASA TEKNIK INFORMATIKA DAN INFORMASI
Dwyan Akbar Putra
Universitas Muria Kudus, Kudus
Computer Science & IT

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Pengembangan Sistem Sortir Otomatis untuk Jeruk Citrus: Integrasi Teknologi Sensor dan Algoritma Rule-Based Muhammad Imam Ghozali; Aditya Akbar Riadi; Dwyan Akbar Putra; Wibowo Harry Sugiharto
Resolusi : Rekayasa Teknik Informatika dan Informasi Vol. 4 No. 3 (2024): RESOLUSI January 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/resolusi.v4i3.1649

Abstract

This study aims to develop an orange harvest revenue prediction system that integrates color-based sorting technology and rule-based data analysis. With the increasing demand for oranges in Indonesia, efficiency and accuracy in the sorting process and revenue prediction are of utmost importance. The developed system utilizes the TCS34725 color sensor to classify oranges based on maturity level and employs a rule-based method to predict harvest revenue based on sorting data and external factors such as weather conditions and market prices. Field testing results indicate that this system significantly improves sorting accuracy and provides accurate revenue predictions. The implementation of this technology in the orange industry offers potential enhancements in operational efficiency and profitability. This research contributes importantly to the application of sensor technology and data analysis in agriculture, demonstrating how technological innovation can help address challenges in the orange industry and the broader agricultural sector.
Co-Authors Aditya Akbar Riadi Muhammad Imam Ghozali Sugiharto, Wibowo Harry