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All Journal IJAIT (International Journal of Applied Information Technology) Jurnal Abdimas
David, Axel
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Computer Science & IT Social Sciences

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Developing An Innovative Web based Agricultural Management System for Sukamaju village David, Axel; Silalahi, Panji Christoper; Herlambang, Yohanes Yogas; Kusuma, Purba Daru; Hasibuan, Faisal Candrasyah
Jurnal Abdimas Vol. 29 No. 1 (2025): June 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/4k0gdm51

Abstract

Agriculture is a vital component of the economy and livelihoods in Indonesia, particularly in Sukamaju village, West Java, Indonesia. Many local farmers rely on traditional farming management methods, which hinder efficiency and productivity due to challenges such as manual data entry, inadequate tracking of crop yields, and limited avenues for product promotion. To address these issues, an Agricultural Management Web Application was developed to streamline the management of agricultural activities within the community. This user-friendly platform allows farmers to input and monitor essential data about their crops, thereby enhancing informed decision-making. Additionally, the application features a blog system for promoting agricultural products, helping farmers reach a wider audience and improve their sales prospects. Key objectives of the application include improving documentation and monitoring of agricultural processes, fostering community engagement through knowledge sharing, and providing promotional tools for farmers. By leveraging technology, this initiative aspires to establish a sustainable agricultural environment that supports the growth of the farming community in Sukamaju village. In the future, this application can be expanded to create a more comprehensive supply chain management system for farmers in a broader area. The feature also can be expanded so that the farmers can connect to the other players whether in the upstream and the downstream.
Multi-Object Inventory System Using Ultra-High Frequency Radio Frequency Identification (UHF RFID) Based on Internet of Things Hasibuan, Faisal Candrasyah; Dinimaharawati, Ashri; Ash Shiddieqy, Hasbi; Fatahillah, Faraday Barr; David, Axel; Aslam, Muhammad Rafindha
IJAIT (International Journal of Applied Information Technology) Vol 08 No 02 (November 2024)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v8i2.9571

Abstract

This study develops an IoT-based inventory system that integrates UHF RFID technology with proximity sensors and an Android application to enable real-time multi-object tracking. The system automatically detects item movement direction (in/out) through sensor sequencing and provides cloud-based monitoring. Testing revealed exceptional single-object performance (100% accuracy at 1-5m distance; 1.53-1.62s avg. transmission time), but significant degradation with multiple objects, particularly beyond 3m (e.g., 5% accuracy for three objects at 5m). Although API integration enabled efficient data transmission, performance was constrained by ESP32 buffer limitations, RFID tag quality, and network stability. The solution demonstrates potential for low- to moderate-intensity inventory environments, providing a foundation for improving accuracy, although further comparative evaluation is required.
Co-Authors Ash Shiddieqy, Hasbi Ashri Dinimaharawati Aslam, Muhammad Rafindha Faisal Candrasyah Hasibuan Fatahillah, Faraday Barr Herlambang, Yohanes Yogas Purba Daru Kusuma Silalahi, Panji Christoper