AAS BAHASA INGGRIS PENULISAN NAMA : RANGGA PUTRA AIDANI
NIM : 4242201075 CLASS : TRE – 5C MORNING
TITLE PBL : DATA LOGGING MULTI TEMPERATURE SENSOR USING LORAWAN
a. Describe the background/introduction of your PBL undertaken this semester! (300-400 words)
b. Write down the methods in doing your PBL! (300-400 words) c. Outline your PBL result(s)! 400-600 words
d. Explain the conclusion of your entire PBL process! (150-300 words)
e. Highlight your entire PBL process in a paragraph (abstract)! (100-200 words) f. Write down a reference(s) list of any citation(s)! (The style of citation(s) and
reference(s) can be chosen freely but should be consistent, whether IEEE, APA, etc.)
ANSWER
a. Background/Introduction
In the modern world, the demand for smart and efficient systems to monitor environmental conditions is increasing. One essential parameter for monitoring is temperature, which significantly impacts various sectors such as agriculture, industry, healthcare, and environmental management. Accurate and reliable temperature monitoring not only improves operational efficiency but also helps in early detection of anomalies, reducing risks and costs. This project addresses the need for a robust data logging and transmission system for temperature monitoring using LoRaWAN technology.
The project involves designing a data logging system that collects temperature data from multiple points using DHT11 sensors. The DHT11 is a low-cost digital sensor capable of measuring both temperature and humidity, making it suitable for various applications where environmental data is crucial. The data collected by these sensors will be transmitted wirelessly using the LoRa Ray V3 module from Cosmic ID. LoRa (Long Range) is a widely adopted communication protocol known for its low power consumption and ability to transmit data over long distances, even in challenging environments. This makes it ideal for applications in remote or large-scale deployments, such as monitoring temperature in agricultural fields, warehouses, or industrial sites.
One of the key components of this project is the use of the CoolTerm application for data logging and monitoring. CoolTerm is a user-friendly serial communication tool that allows real-time data visualization and storage. By utilizing this application, users can easily monitor temperature readings from the sensors and maintain a log for analysis and reporting.
The system aims to provide a seamless and efficient way to monitor and log data, ensuring that it is accessible and reliable.
This project not only integrates hardware components like the DHT11 sensor and LoRa Ray V3 module but also explores the principles of IoT (Internet of Things) and wireless communication technologies. It provides hands-on experience in sensor interfacing, data transmission using LoRaWAN, and software-based data logging. Furthermore, the project emphasizes the importance of real-time monitoring in decision-making processes, especially in critical applications where timely data can prevent significant losses.
By implementing this project, we aim to develop practical skills in designing and deploying IoT-based solutions while addressing real-world challenges in temperature monitoring and data management. This work contributes to understanding the potential of LoRaWAN and its applications in creating smarter, more connected systems that improve efficiency and sustainability.
b.Methods
The project-based learning (PBL) activity involves the design and implementation of a multi- temperature sensor data logging system using LoRaWAN. This project aims to integrate
hardware and software components to create an efficient and reliable system for monitoring and logging temperature data. The following methods outline the steps taken to achieve this
objective.
1. Understanding the Project Requirements
The first step in this project is to clearly understand the scope and objectives. The system should be able to:
Collect temperature data using DHT11 sensors.
Transmit the collected data using the LoRa Ray V3 module.
Log and display the data on the CoolTerm application for analysis.
We researched the functionality of the components, including the DHT11 sensor, LoRaWAN technology, and CoolTerm software, to ensure compatibility and effective integration.
2. Hardware Setup
The hardware setup involves connecting and configuring all components needed for the project:
DHT11 Sensors:
The DHT11 sensors are connected to an Arduino microcontroller to collect temperature data. These sensors are simple to use and provide accurate measurements. Each sensor is assigned a unique identifier to distinguish between data from multiple sensors.
Arduino Microcontroller:
An Arduino board is used as the central processing unit to read data from the sensors, process it, and send it to the LoRa module. The Arduino code is written in the Arduino IDE, where libraries for the DHT11 and LoRa modules are integrated.
LoRa Ray V3 Module:
The LoRa Ray V3 module is configured to transmit data wirelessly. It is connected to the Arduino via SPI (Serial Peripheral Interface) communication. Configuring the module involves setting parameters like frequency, bandwidth, and transmission power to ensure efficient communication.
Power Supply:
A stable power source is connected to the hardware setup to ensure uninterrupted operation. Proper voltage levels are maintained to prevent damage to components.
3. Software Development
The software development stage includes writing and testing code for data collection, transmission, and logging:
Arduino Code:
The Arduino code is written to read temperature data from the DHT11 sensors, package it into a structured format, and send it to the LoRa Ray V3 module for transmission. The code also handles error checking and ensures reliable data communication.
CoolTerm Configuration:
CoolTerm is set up to receive and log the data transmitted by the LoRa module. The serial port settings, such as baud rate, data bits, and parity, are configured to match the Arduino’s communication parameters. The application is tested to ensure that data is displayed and logged correctly.
4. System Integration
After completing the hardware and software setup, the system components are integrated:
Multiple DHT11 sensors are connected to the Arduino, and their data is transmitted simultaneously using the LoRa module.
The transmitted data is received and visualized on the CoolTerm application, confirming successful integration.
Testing is performed to ensure that all components work together seamlessly.
5. Testing and Debugging
Comprehensive testing is conducted to ensure system functionality and reliability:
Sensor Testing:
The DHT11 sensors are tested individually to verify their accuracy and proper connection to the Arduino.
Data Transmission Testing:
The LoRa Ray V3 module is tested to ensure that data is transmitted successfully over a long range without errors.
Software Debugging:
The Arduino code is debugged to handle any issues with data collection, formatting, or transmission. The CoolTerm application is also tested for proper data reception and logging.
6. Data Analysis and Documentation
Once the system is operational, the collected temperature data is analyzed to verify its accuracy and consistency. Logged data from the CoolTerm application is reviewed to ensure completeness and reliability.
All steps, challenges, and solutions are documented, providing a clear record of the project for future reference.
7. Final Presentation and Evaluation
The final step involves presenting the completed project. This includes a demonstration of the working system, explaining the methods used, and discussing the outcomes and potential applications. Feedback is gathered to identify areas for improvement.
c.Outline PBL Result
The results of this project-based learning (PBL) activity demonstrate the successful implementation of a multi-temperature sensor data logging system using LoRaWAN technology. The system integrates two DHT11 sensors, the LoRa Ray V3 Cosmic ID module, and the CoolTerm application to monitor and log temperature data in real time. The project has met its objectives, and the following is a detailed explanation of the outcomes.
The DHT11 sensors, known for their reliability and simplicity, were successfully connected to the LoRa Ray V3 module. This module includes an Arduino Uno and a LoRa RFM95W chip, combining microcontroller and long-range wireless communication capabilities in a compact form. The sensors were configured to measure temperature and humidity, with data collected from two locations. Each sensor provided consistent and accurate readings during testing and implementation, confirming their effectiveness for this project.
The LoRa Ray V3 module acted as the central communication device in the system. It transmitted the data from the DHT11 sensors to the receiving end over long distances using LoRaWAN technology. The LoRa RFM95W chip proved to be highly reliable, ensuring minimal data loss and stable communication even in conditions where long-range transmission was required. The integrated Arduino Uno module simplified the setup by reducing the need for additional hardware components.
At the receiving end, the data transmitted by the LoRa module was displayed on the Arduino Serial Monitor. This step allowed for real-time monitoring of the sensor outputs directly on the development environment, which was useful for debugging and validating the transmission process. The data was clearly visible, with each sensor identified separately, ensuring there was no confusion regarding the source of the readings.
For data logging and storage, the project utilized the CoolTerm application. CoolTerm is a user-friendly tool designed for serial communication, making it an excellent choice for this project. The transmitted data from the Arduino Serial Monitor was redirected to CoolTerm, where it was logged and stored in real time. This functionality allowed for efficient data management and analysis, as the logged data could be reviewed later for trends or inconsistencies. CoolTerm’s ability to handle real-time data logging ensured that no information was lost during the transmission and storage process.
The project results show that the system successfully achieved its primary objectives. The integration of two DHT11 sensors, the LoRa Ray V3 module, and CoolTerm allowed for seamless data collection, transmission, and storage. The use of LoRaWAN technology enabled long-range communication, making the system suitable for applications in remote monitoring scenarios. Additionally, the ability to log data in real time provided a practical solution for analyzing environmental conditions over extended periods.
In summary, this project demonstrates the effectiveness of combining IoT components like DHT11 sensors, the LoRa Ray V3 module, and the CoolTerm application to create a robust temperature monitoring and logging system. The results validate the practicality and reliability of the system, showcasing its potential for real-world applications such as agriculture, industrial monitoring, and environmental management. Through this PBL activity, we gained valuable hands-on experience in IoT integration, wireless communication, and data logging, while successfully meeting the project’s goals.
d. Conclusion
The entire process of this project-based learning (PBL) activity has been both educational and successful. The main goal of designing and implementing a multi-temperature sensor data logging system using LoRaWAN technology was achieved. This system effectively integrated two DHT11 sensors, the LoRa Ray V3 module, and the CoolTerm application to monitor and log temperature data in real time.
The DHT11 sensors provided accurate temperature readings, and the LoRa Ray V3 module enabled reliable long-range data transmission using LoRaWAN technology. The inclusion of an Arduino Uno within the LoRa module simplified the setup, reducing the complexity of the hardware configuration. The use of CoolTerm for real-time data logging ensured that all transmitted data was accurately stored and could be analyzed for trends or anomalies.
Throughout the process, we gained valuable hands-on experience in sensor integration, coding, wireless communication, and data management. We also learned the importance of testing and debugging to ensure the system functions reliably under various conditions.
In conclusion, this project has demonstrated the feasibility and efficiency of IoT-based solutions for temperature monitoring. It provided practical knowledge and skills while showcasing the potential of LoRaWAN for real-world applications in fields like agriculture and environmental monitoring.
e.Higlight Entire PBL Process
This project-based learning (PBL) activity focused on designing and implementing a multi-temperature sensor data logging system using LoRaWAN technology. The system utilized two DHT11 sensors connected to a LoRa Ray V3 Cosmic ID module, which integrated an Arduino Uno and a LoRa RFM95W chip for efficient data transmission. The sensors collected temperature data from different locations, and the LoRa module transmitted the data over long distances. The transmitted data was displayed on the Arduino Serial Monitor and logged in real time using the CoolTerm application. This process ensured reliable data storage and enabled easy analysis of temperature trends. The project provided hands-on experience in sensor integration, coding, wireless communication, and data logging. The results demonstrated the system's effectiveness for real-world applications such as agriculture and environmental monitoring, while highlighting the potential of IoT-based solutions for remote data collection and analysis.
f.Reference
[1] DHT11 Product Datasheet, "DHT11 Humidity & Temperature Sensor," Aosong Electronics Co., Ltd., Accessed: Jan. 2025. [Online]. Available:
https://www.aosong.com/en/products/details/asp?id=1
[2] Arduino, "Arduino Uno Rev3 Documentation," Arduino.cc, Accessed: Jan. 2025. [Online].
Available: https://docs.arduino.cc/hardware/uno-rev3
[3] Semtech Corporation, "LoRa Modulation Basics," Semtech White Paper, Rev. 2, 2015.
[Online]. Available: https://www.semtech.com/products/wireless-rf/lora-transceivers [4] CoolTerm Serial Communication Application, "CoolTerm User Guide," Roger Meier, Accessed: Jan. 2025. [Online]. Available: https://freeware.the-meiers.org/
[5] Cosmic ID, "LoRa Ray V3 Module Datasheet," Cosmic Internet Devices, Accessed: Jan.
2025. [Online]. Available: https://www.cosmic-id.com
[6] M. A. Razzaque, M. Milojevic-Jevric, A. Palade, and S. Clarke, "Middleware for Internet of Things: A Survey," IEEE Internet of Things Journal, vol. 3, no. 1, pp. 70-95, Feb. 2016.
[7] H. Zhang, A. Hu, and L. Wang, "IoT Applications Using LoRa Technology," in Proceedings of the 2020 International Conference on Internet of Things (iThings), Guangzhou, China, 2020, pp. 1-5.
