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IoT-Based Package Drop Box System Using Arduino Uno and ESP32-CAM Frengki Simatupang; Marojahan M.T Sigiro; Eka Stephani Sinambela; Istas Pratomo Manalu
Jurnal Sistem Cerdas Vol. 8 No. 3 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i3.581

Abstract

The rapid growth of e-commerce activity in Indonesia has led to a surge in package delivery volumes, resulting in increased workloads for couriers and a higher risk of delivery failures when recipients are not present at the delivery location. This issue demands an innovative solution that can address logistical challenges in an automated, secure, and efficient manner. This study aims to design and implement an IoT-Based Package Drop Box system that integrates Arduino Uno, Wemos D1 Mini, ESP32-CAM, and the GM66 barcode scanner, along with a web interface and WhatsApp notification service. The methodology follows a prototype engineering approach consisting of need analysis, system design, implementation, and hardware-software testing phases. The test results demonstrate that the system can successfully verify package tracking numbers via barcode scanning at an optimal distance of 10–19 cm, automatically unlock the box, capture images inside the drop box using ESP32-CAM, and send real-time delivery notifications to users via WhatsApp. The system is also capable of storing data locally when the internet connection is lost and synchronizing it once the connection is restored. The findings conclude that the integrated system provides a practical and reliable solution to common delivery issues and has the potential to be further developed for smart home environments or broader Internet of Things-based logistics systems.
FRAMEWORK MODULAR BERBASIS BLE untuk KONFIGURASI DINAMIS PERANGKAT EMBEDDED HEADLESS dengan APLIKASI MOBILE Eka Stephani Sinambela; Marojahan Mula Timbul Sigiro; Rivaldo Butar-butar; Ezra Pasaribu; Rika Simatupang; Frengki Simatupang; istas Pratomo Manalu; Gerry Italiano Wowiling; Sari Muthia Silalahi; Pandapotan Siagian
Jurnal Informatika: Jurnal Pengembangan IT Vol 11, No 2 (2026)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v11i2.10271

Abstract

– This study presents the development of a modular Bluetooth Low Energy (BLE)-based framework designed to enable dynamic configuration of headless embedded devices using an ESP32 microcontroller through a mobile application. Manual configuration processes that require physical device access and firmware reprogramming are often prone to human error and inefficiency, particularly for Internet of Things (IoT) devices deployed at the production stage. The proposed system aims to address these challenges by facilitating real-time, energy-efficient configuration management via wireless communication. The BLE-based mobile application serves as a user interface that allows secure bidirectional data exchange with the embedded device, enabling the modification of configuration parameters such as PIN, IP address, and SSID. The framework also ensures that all configuration updates are stored permanently within the device’s non-volatile memory, thereby eliminating the need for repeated reprogramming. Experimental evaluations were conducted to validate the system’s functionality and reliability. The results indicate that the application successfully scans, connects to, and updates individual ESP32-based headless devices. Configuration changes were applied accurately and persistently, confirming the stability and robustness of the proposed framework. The findings demonstrate that this approach significantly improves efficiency in IoT device management by reducing configuration time, minimizing potential errors, and simplifying maintenance workflows. Overall, the study contributes to advancing the development of intelligent, modular, and energy-efficient solutions for managing distributed embedded systems in modern IoT environments.
IoT-Based ESP32 System for Real-Time Monitoring of Coffee Fermentation Parameters Istas Manalu; Frengki Simatupang; Gerry Wowiling; Stevi Sianipar; Lewi Siagian; Jose Raja
Jurnal Rekayasa Elektrika Vol. 21 No. 4 (2025): Vol. 21, No. 4, December 2025
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i4.757

Abstract

Coffee fermentation is a vital stage in the post-harvest process that significantly influences the sensory quality of coffee beans. Through microbial activity, fermentation breaks down the mucilage attached to the beans and produces volatile compounds that shape the final flavor and aroma. This process not only affects organoleptic qualities but also boosts the coffee’s market value, especially in the specialty coffee segment. Therefore, fermentation is essential for farmers, producers, roasters, and consumers, and it also offers opportunities for innovation and research in coffee processing. This study aims to develop and deploy an Internet of Things (IoT)-based coffee fermentation monitoring system with a visual interface using the Blynk platform. The system monitors key fermentation parameters—pH, temperature, and humidity—in real time, enabling a more measurable and consistent post-harvest process. Coffee fermentation is a crucial post-harvest step that determines coffee quality. As fermentation progresses, it helps decompose the mucilage on the beans and produces volatile compounds that influence flavor. Fermented coffee is expected to increase in value, particularly in the specialty coffee market. This makes it vital for farmers, producers, and consumers. During a 48-hour fermentation test, the system successfully recorded a pH change from 6.64 to 3.99, temperatures between 28.1°C and 28.9°C, and humidity levels decreasing from 94.1% to 90.1%. These data indicate active fermentation, consistent with characteristics of a wine coffee production process. Additionally, the Blynk interface allows users to set target values, select fermentation profiles, and remotely view historical graphs. The system also demonstrated stable connectivity and quick response during testing. While the system performed well, some improvements are needed, such as parameter input validation and the addition of an automatic alarm feature. Overall, the system shows great potential for enhancing the efficiency and consistency of coffee fermentation quality, especially for small- and medium-sized enterprises.