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Journal : Jurnal Mantik

Agricultural monitoring system using esp32 microcontroller with IOT-Based LORA transmission Achmad Zuchriadi; Fajar Rahayu; Silvia Anggraeni; Muhamad Alif Razi; Muchamad Oktaviandri; Irga Irga
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i2.3823

Abstract

Smart farming is an agricultural management plan based on precise monitoring and calculation of agricultural parameters that are useful as a reference in taking appropriate actions. The application of Smart Farming is inseparable from the IoT system that supports processing and data collection. Remote large agricultural area, far from the public, limited access to electricity and difficult cellular network access. Responding to this, this research designed an IoT-based agricultural monitoring system by implementing the ESP 32 microcontroller and LoRa Transmission which uses solar panels as a power supply and is displayed via the Web Server Dashboard. Tests are carried out in the form of sensor readings, dashboard displays, and data transmission. The results obtained are that the agricultural monitoring system design works well with the sensors used to work and the ESP32 microcontroller to process data. LoRa and Internet data transmission can be sent properly indicated by synchronous data access. The monitoring dashboard can work properly as shown by the appropriate home page and graphic page.
Power consumption analysis using deep sleep method on NodeMCU 8266 for power efficiency in IoT system Achmad Zuchriadi; Fajar Rahayu; Hollanda Arief Kusum; Irga Irga
Jurnal Mantik Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i4.4442

Abstract

The Internet of Things has been implemented in various fields. The implementation of the Internet of Things is mostly carried out in remote areas that use batteries and solar panels as power sources. However, the efficiency of solar panels is still low while battery capacity is limited. For this reason, it is necessary to find a way so that an Internet of Things system only requires low power. One way is to use deep sleep mode on the microcontroller. This research was conducted by designing an IoT System for agriculture using the Nodemcu 8266 microcontroller. Furthermore, measurements of voltage, current and power consumption of the system were carried out using normal mode and deep sleep mode. Furthermore, a comparison was made between the measurement results between normal mode and deep sleep mode. Based on the measurement results, it is obtained that the voltage consumption of both normal mode and deep sleep mode results are the same, while the current consumption and power consumption of deep sleep mode are only 20% of the current consumption and power consumption of normal mode. This illustrates that deep sleep mode is more efficient in electrical power consumption, so it is very suitable for use for an IoT system implemented in remote areas
Design and development of an IoT-based smart trolley with budget-limiting features to reduce queues in supermarkets Zuchriadi, Achmad; Martana, Budhi; Rahayu, Fajar; Pradana, Sigit
Jurnal Mantik Vol. 9 No. 2 (2025): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v8i6.6619

Abstract

This study presents the design and implementation of a smart shopping trolley system based on Internet of Things (IoT) technology, aimed at improving retail efficiency and customer control. The system integrates an ESP32 microcontroller, RFID reader, LCD display, keypad, and buzzer to monitor total purchases in real time and alert users when a predefined budget is exceeded. Through a design and development methodology, the prototype was tested using 25 products and 10 scenarios. Results showed 100% accuracy in item detection and instant budget alert response. This research addresses a key gap in previous smart trolley systems by incorporating dynamic budget control and user-defined notifications. The system offers strong potential for further integration into real retail environments and serves as a foundation for future smart retail innovations.
Module-level power consumption analysis of ESP32 wroom and ESP32 dfrobot under normal and deep sleep operation Zuchriadi, Achmad; Ginting, Sargi; Angraeni, Silvia; Widiyanto, Didit
Jurnal Mantik Vol. 9 No. 4 (2026): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v9i4.6986

Abstract

Energy efficiency is a critical requirement for battery-powered Internet of Things (IoT) systems, particularly those operating under duty-cycled conditions. Among widely adopted microcontroller platforms, ESP32 modules are extensively used due to their integrated connectivity and low-power features. In practice, ESP32 WROOM is commonly deployed because of its affordability and availability, while alternative modules such as ESP32 DFRobot are claimed to offer superior low-power performance. However, quantitative experimental comparisons at the module level remain limited. This study presents a controlled experimental evaluation of power consumption characteristics of ESP32 WROOM and ESP32 DFRobot modules operating in normal mode and deep sleep mode under realistic agricultural IoT workloads. Both modules were integrated with multiple environmental and soil sensors and LoRa communication, using identical hardware configurations, firmware logic, and measurement procedures. Power consumption was measured using a dual digital multimeter setup, with each operating condition evaluated over 50 repeated trials. The results show that both modules exhibit comparable power consumption during normal mode operation. In contrast, significant differences emerge during deep sleep mode. ESP32 WROOM consumes 36.907 mW in deep sleep, while ESP32 DFRobot consumes only 0.317 mW. Quantitative analysis indicates that ESP32 DFRobot achieves a deep sleep power efficiency improvement of approximately 99.14% relative to ESP32 WROOM. These findings demonstrate that module-level hardware design plays a decisive role in ultra-low-power performance and provide empirical guidance for selecting ESP32 modules in duty-cycled IoT deployments with significant implications for battery lifetime.