CHIPSET

A Door Lock Security System with Remote Keyless Feature Using The Puf Approach Method

2025-12-08T03:03:26+00:00

Home security systems are now increasingly important to provide peace and comfort, Especially if the occupants often leave the house. As the main access point, the door is an important thing to pay attention to in maintaining home security. Smart door locks offer better security features compared to traditional mechanical lock. However, technology that relies on smartphones or PINs has vulnerability to attacks such as brute force and various digital security threats. Besides that, The limitations of human memory pose challenges in maintaining security. This research develops a door security system with remote keyless feature using the Physical Unclonable Function (PUF) approach and Bluetooth connectivity as a communication system. The system uses RSSI values to provide remote control and reminders, ensuring automatic locking at a certain distance. Test results show that this system effectively providing unique security and convenience for users. The use of servo motor ensures precision in locking, while the ESP32 is used for communication and generates a unique PUF values, making the system more secure and resistant to duplication.

Condition Monitoring System and Automatic Air Cleaning in the Toilet of Firebase-Based Andalas University Lecture Building

2026-01-19T07:59:51+00:00

Maintaining the cleanliness and comfort of toilets in lecture buildings is very important for the quality of the campus environment. This study develops a Firebase-based Automatic Air Condition Monitoring and Cleaning System in the restrooms of Andalas University lecture halls. The main problem identified is the lack of direct monitoring, which leads to the appearance of unpleasant odors and potential health problems. A survey showed that 64.8% of respondents sometimes felt unpleasant odors, while 59.3% indicated a lack of adequate air circulation.To solve this problem, the designed system is able to detect and monitor toilet conditions in real-time through gas measurements such as ammonia, hydrogen sulfide, and carbon monoxide using MQ-135, MQ-136, and MQ-7 sensors, the results of which can be monitored through a website. The system not only monitors, but also controls air quality by turning on the exhaust fan when the gas level exceeds a certain. Tests show that the system is accurate in detecting gas, with sensor precision above 90% and an average data transmission time of 1.74 seconds. However, the humidity measurement showed an error rate of 32.36%. The system effectively improves the hygiene monitoring of restrooms, thereby improving comfort and health on campus

Sistem Pemantauan Kehadiran Piket di Sekretariat Berbasis Algoritma Haversine

2025-12-08T03:03:21+00:00

The lack of discipline in carrying out duty shifts at the student organization secretariat within the Faculty of Information Technology at Andalas University has become a serious issue, characterized by attendance manipulation and absenteeism among members. This problem negatively impacts the operational quality and reputation of the organization. Previous studies on attendance monitoring systems have utilized various technologies, such as RFID and biometric systems, which, while effective in reducing absenteeism, often face challenges in terms of cost, implementation complexity, and manipulation prevention. In response to these limitations, this study developed an attendance monitoring system based on the Haversine Algorithm, utilizing QR code technology for recording attendance and the Haversine Algorithm for monitoring the location of members during their shifts. Testing results indicated that the system achieved 100% accuracy in attendance recording and was able to monitor locations with an average error of 4.657 meters. Compared to previous systems, this approach offers a more cost-effective, easily implementable solution with enhanced transparency and reduced manipulation risk. Additionally, the system provides rapid and transparent attendance reports, with an average response time of 0.1 seconds. In conclusion, the system effectively enhances discipline and reduces attendance manipulation, making it a viable option for improving the management of student organizations.

The Microcontroller Based Earthquake Detection and Magnitude Measuring (Richter Scale) System for Risk Mitigation

2025-12-08T03:03:19+00:00

Earthquakes are unpredictable disasters that can cause immediate structural collapse, posing significant risks, especially when occurring at night or early morning when people are asleep and slower to react. To mitigate these risks, this research aims to design a microcontroller- based system for detecting earthquakes and measuring their magnitude using Richter scale. The system employs an SW420 sensor to detect tremors and an ADXL345 accelerometer to detect and measure acceleration of eartquakes, which is then converted into magnitude using formula. The system is equipped with an alarm that activates if magnitude exceeds 5.0 SR and PIR HC-SR501 sensor to detect the user’s presence. Additionally, it can activate a 5-watt emergency light and use a GSM SIM800L module to send SMS notifications and make calls to the User’s nearest contacts in the event of a significant earthquake. The research methodology involves Action Research, which includes reflection, action, and continuous adjustment. The findings indicate that system can detect vibrations up to 60 cm away and measure earthquake magnitudes starting from 1.0 SR. The alarm successfully activates for magnitudes greater than 5.0 SR, and system can detect the user’s existence presence up to 250 cm in both dark and light conditions. Furthermore, system effectively activates the emergency light and send SMS notification and nall if the magnitude exceeds 5.0 SR. This research confirms that the system performs as intended, helping to mitigate earthquake risks and providing crucial information to user.

Implementasi Smart Room Pada Ruangan Very Important Person (VIP) Berbasis Internet of Things (IoT)

2025-12-08T03:03:17+00:00

The development of an Internet of Things (IoT)-based smart room system in a Very Important Person (VIP) room was carried out using a NodeMCU ESP8266 microcontroller, a Passive Infrared (PIR) sensor, and the Blynk application. The system is capable of detecting human presence at a distance of up to 5 meters with a detection angle of 35°-145°, and automatically controlling electronic devices such as lights and music players. Additional manual control is carried out through the Blynk application for volume and equalizer settings. Testing shows that the system successfully reduces electricity consumption by turning off devices when no users are present. The PIR sensor detection success rate reached 98% in a 7 x 4 meter room, with a system response time of less than 2 seconds. The system also supports light control through two methods: input from the PIR sensor and the Blynk application. The overall implementation demonstrates operational efficiency, ease of management, and potential energy savings in an IoT-based VIP room facility.

Two-Wheeled Vehicle Access Control System Using QR Code Based on Optical Character Recognition

2025-12-08T03:03:14+00:00

The increasing number of motorcycles owned by students at Universitas Andalas has led to inefficiencies in the manual parking card system, including frequent card loss and reduced operational effectiveness. To address this issue, a motorcycle access control system is designed using QR codes integrated with Optical Character Recognition (OCR). The system utilizes a Raspberry Pi 4 Model B, Logitech C270 HD webcam, and a barcode scanner to capture motorcycle license plate images, process them with Convolutional Neural Network (CNN) and Tesseract OCR to extract plate text, and generate a unique QR code for each vehicle. The QR code is used for both entry and exit validation, replacing the need for manual parking cards. Data is stored and managed in a MySQL database, enabling quick retrieval and verification. System testing showed high accuracy in license plate detection and QR validation, ensuring security, efficiency, and ease of use while reducing operational costs. This solution offers a scalable approach for campus, residential, and office access control systems.

Design of Footwear Storage Control System with Fingerprint Based on Microcontroller

2025-12-08T03:03:12+00:00

The issue of misplaced and stolen footwear in public spaces is a frequent problem that causes inconvenience to many people. This thesis aims to design and implement a smart locker system for footwear storage that uses biometric fingerprint security and is controlled by a microcontroller. The system integrates several key components: an AS608 fingerprint sensor for user authentication, an HC-SR04 ultrasonic sensor to detect if the locker is occupied, and an SW-420 vibration sensor to detect suspicious activity, such as forced entry. An ESP32 microcontroller serves as the central control unit, processing data from all sensors and managing the solenoid lock mechanisms via relays. Additionally, the system sends security alerts through a Telegram bot to the administrator. Based on the test results, the system successfully performs all its functions. The fingerprint sensor accurately handles both enrollment and matching processes. The ultrasonic sensor automatically and accurately detects the locker's status (empty/occupied). The vibration sensor effectively sends alert notifications when suspicious vibrations are detected. In conclusion, the implemented system is proven to be functional and an effective solution for improving the security and convenience of footwear storage in public areas.

Design and Development of A Sorting System for Ripeness and Damage in Avocado (Persea Americana Mill.) Based on Machine Learning

2025-12-08T03:03:09+00:00

Avocado is an important commodity that requires proper postharvest handling, particularly in
sorting based on ripeness levels and fruit condition. Conventional methods that still rely on
manual inspection have limitations in terms of accuracy and efficiency. This study proposes a
real-time sorting system based on YOLOv8n running on a Raspberry Pi 4 Model B with a
Google Coral accelerator to detect avocados and classify their ripeness levels as well as damage.
The model was trained with a custom dataset and achieved a precision of 77.2%, recall of
84.4%, and a macro-average F1-Score of 80.6%. The system was integrated with a camera for
image acquisition and a mini conveyor for the sorting process. Experimental results
demonstrated reliable detection with an inference speed of 11.7 ms per image, and field testing
successfully classified avocados according to their categories. This system has proven to be
effective, cost-efficient, and supports the improvement of avocado postharvest quality.

Parameter Control System of Aeroponic Method on Plants Based on Internet of Things (IoT)

2025-12-08T03:03:07+00:00

The Internet of Things (IoT)-based Aeroponic System is an innovation in the cultivation of crops, especially potatoes, on limited land. This research aims to design an aeroponic parameter control system that integrates real-time measurement of temperature, humidity, and pH to improve the efficiency and productivity of urban agriculture. The system uses the ESP32 as the main data processor, with a DHT11 sensor for temperature and humidity measurements, as well as a pH sensor for nutrient regulation. Automation is carried out through relays and control modules connected to the Blynk app for remote monitoring and control. Tests show that this system is able to maintain the stability of the growing environment with an average parameter error of less than 5%. The system offers sustainable solutions for urban agriculture, reducing water consumption, and overcoming the limitations of narrow land.