CHIPSET

Internet of Things Based System for Detecting Egg Theft Attempts in Quail Layer Housing

Alfi Dzikro Hasibuan, Dodon Yendri — Wed, 29 Apr 2026 07:21:13 +0000

The increasing number of quail egg farmers in West Sumatra has raised the demand for more effective security systems. Conventional security methods such as padlocks and latches often fail to prevent egg theft, especially due to the cage’s distance from the farmer's residence. This research proposes an Internet of Things (IoT)-based egg theft detection system using fuzzy logic. The system consists of three modules: Module 1 for motion detection and threat level processing using fuzzy logic algorithm, Module 2 as an egg weighing platform to detect weight changes, and Module 3 for sending Telegram notifications and triggering alarms. Modules communicate using ESP-NOW and LoRa SX1278 protocols. Fuzzy logic is employed to determine the threat level based on weight change and motion detection data. Testing results show that the system successfully detects theft attempts in real time, sends alerts via Telegram bot, and activates alarms according to the threat level. The system improves the efficiency and effectiveness of quail cage house security.

Chicken Coop Monitoring System using You Only Look Once (YOLO) Algorithm

Omar Fauzi Rahman, Tati Erlina — Wed, 29 Apr 2026 08:41:16 +0000

As chicken meat production increases in Padang City, farmers face serious threats from
predators and intruders that cause significant losses. Current solutions, such as PIR motion
detectors, have the disadvantage of not being able to recognize the objects they detect. This
study designs a chicken coop monitoring system capable of identifying objects using the You
Only Look Once (YOLO) algorithm. The system uses a Raspberry Pi 4 Model B as the
processing center, connected to two Arducam OV5647 cameras mounted on MG996R servo
motors. The system is also integrated with a Telegram application for real-time notifications.
Based on testing, the system is capable of detecting and classifying objects with an average
accuracy of 83.26% and an average notification response time of 10.8 seconds. Thus, the system
is effective in addressing security issues in chicken farms

Design and Implementation of an Automatic Rotating Paddy Drying System based on Microcontroller using Fuzzy Logic

Fadhil Ramdani, Nefy Puteri Novani — Wed, 29 Apr 2026 16:06:53 +0000

Rice production faces major challenges, notably unpredictable weather and pest attacks. The duration of sun drying depends on the climate and weather: if the weather is clear and the sun shines fully throughout the day, drying only lasts about 2–3 days. However, when the weather is occasionally cloudy or drizzly and sometimes hot, the drying time can extend to approximately one week. Pests such as birds cause significant physical damage to the paddy from pecking, which frequently occurs in conventional drying methods. The system design in this Final Project aims to design and build an automatic rotating paddy drying system that can control temperature and humidity using fuzzy logic. Fuzzy logic was chosen to adjust the drying temperature so that the resulting temperature is appropriate for the current paddy moisture, thereby maintaining paddy quality, operating independently of weather, and protecting against pests. The system utilizes an ESP32 microcontroller as the main processing unit. Input is obtained from a Capacitive Soil Moisture Sensor for paddy moisture and a DHT22 sensor for the drying chamber temperature. Fuzzy logic with 9 rules is implemented to control the Fan & Heater actuator based on the inputs from moisture and temperature. An AC motor with a gearbox is used to rotate the drying drum. The system is also integrated with a Telegram Bot for real-time monitoring and control. Testing was conducted in five weight scenarios ranging from 10 kg to 30 kg. The system successfully lowered the paddy moisture from the initial level to the drying target of 13%. The optimal capacity was identified at 10–20 kg, where the system was capable of maintaining the ideal temperature at 40°C–60°C. The system successfully controlled the drying process automatically, maintained temperature and humidity, and protected the paddy from contamination, resulting in a quality drying process.

Design and Construction of A Back Muscle Injury Detection Device based on The Fuzzy Logic Method

M Aidil Hajri, Budi Rahmadya — Wed, 29 Apr 2026 16:14:07 +0000

Lifting is a common task. This work typically requires muscle strength, especially the back muscles. However, this work carries a risk of back injury if performed incorrectly or inappropriately. Using a back muscle injury detection system can reduce the risk of back muscle injury. This system uses an EMG sensor to measure the electrical signals generated by muscle activity to gauge the level of muscle activity. This will be used as a reference for determining risk factors for back muscle injury. A buzzer sensor is used to provide information about muscle condition and warn of muscle injury. This system uses fuzzy logic to classify muscle activity levels while assisting the output process on the buzzer. The system successfully detects electrical signals in the back muscles with a range of 10 µ v - 30 µ v.

Speed Bump Generator as A Power Source for Garden Lights

Aditya Prawira, Yoan Purbolingga — Wed, 29 Apr 2026 16:21:59 +0000

In an effort to explore environmentally friendly alternative energy solutions, this
study develops a Speed Bump Generator system designed to generate electrical
energy as a power source for garden lighting. The system harnesses the kinetic
energy of vehicles passing over speed bumps and converts it into electrical energy,
which is then stored in a battery. Experimental results indicate that the system is
capable of producing an average current of 1.33 mA; however, the energy generated
has not yet achieved the target storage capacity of 5 Ah. To improve system
functionality, a Light Dependent Resistor (LDR) sensor is integrated to enable
automatic lamp activation during nighttime conditions. The findings of this research
provide a basis for further development toward more efficient and sustainable
energy-saving lighting systems.

Sistem Pengatur Akses Jalan Sempit Melalui Object Detection Menggunakan Algoritma YOLO

Iqshan Aditia Putra, Rian Ferdian — Wed, 29 Apr 2026 16:29:02 +0000

To enter the parking lot behind the Faculty of Engineering building, students, lecturers and other Unand residents usually have to pass through a small road that starts from the front of the KOPMA building to the parking portal of the Faculty of Engineering building. This small road is 3 meters wide and 110 meters long. Due to the small size of the road, it is quite difficult for two cars to pass through the road simultaneously. Therefore, a device is needed that can regulate the entry and exit of cars passing through the road so that there is no situation where two cars enter from two opposite sides. Thus making one of the two cars have to give in. The tool is implemented at two ends of the road entering the narrow road. The tool uses a Raspberry Pi 4 which functions as an object detection processing center to detect cars that want to enter the narrow road. After the car is detected, the device sends data wirelessly to the device at the other end of the road so that the vehicle stops waiting for the car to exit the road. Wireless communication uses LoRa SX1278 which can reach distances exceeding 100 meters. Because the device is installed outdoors, an alternative energy source is used, namely solar panels that can store energy by absorbing light from the sun

Rancang Bangun Sistem Pengawasan Gerbang Kos berbasis Mikrokontroler

Muhammad Fakhri Luthfi, Dody Ichwana Putra — Wed, 29 Apr 2026 16:36:44 +0000

Banyak universitas berlokasi jauh dari pusat kota sehingga mahasiswa memilih tinggal di rumah kos. Namun, aturan jam malam sering membuat mereka terkunci di luar gerbang, terutama ketika ponsel tidak dapat digunakan. Skripsi ini merancang sistem pengawasan gerbang berbasis ESP32-CAM untuk membantu mahasiswa dalam kondisi tersebut. Sistem bekerja melalui tombol yang memicu kamera mengambil foto dan mengirimkannya bersama notifikasi via Telegram ke ponsel penjaga kos, dengan buzzer sebagai tanda konfirmasi. Hasil pengujian menunjukkan rata-rata waktu pengiriman 5,4 detik, kualitas foto malam hari yang memadai, serta ketahanan terhadap kondisi lingkungan. Dengan biaya pengembangan hanya Rp445.000, jauh di bawah anggaran Rp1.000.000, sistem ini terbukti efektif, efisien, dan layak diterapkan lebih luas berdasarkan analisis SWOT dan NPV.

Sistem Pendeteksi Nilai Nominal dan Keaslian Uang Kertas Rupiah untuk Penyandang Tunanetra berbasis Mikrokontroler

Fadtinah Fadtinah, Desta Yolanda — Wed, 29 Apr 2026 16:44:19 +0000

Rupiah banknotes are legal tender used within the territory of the Unitary State of the Republic of Indonesia for buying and selling transactions. However, the circulation of counterfeit money in the community still occurs frequently, causing financial losses, especially for people with visual impairments. Blind people's limited ability to see makes them vulnerable to being the main target in counterfeit money fraud cases and cases of switched money. Based on these problems, it is necessary to develop a system that can identify the nominal value and authenticity of rupiah banknotes. This research is intended to facilitate blind people in identifying money when doing buying and selling transaction activities in order to avoid cases that have occurred before. The implemented system has four functions, namely user detection using the HC-SR04 Ultrasonic sensor to provide information on instructions for using the system within a distance of 10-50cm. The second function is money in/money out detection using EC-0141 IR sensor to open and close the system lid automatically. The third function is nominal value detection using the TCS3200 sensor. The fourth function is to detect the authenticity of the money using the UV GY-31 ML8511 sensor. The output of the system is a voice instruction on the use of the system and the detection results of the inserted money. The results of the detection process for the nominal value of money can distinguish all nominal values of money with an average success rate of 78.57% for new money conditions and 71.43% for old money conditions. As for the detection process of money status with an average success rate of 57.14%. This shows that the system is quite accurate in detecting although there are still frequent errors in detection.

Enhancing Heavy-Vehicle Safety Utilizing Proximity Sensor and Microcontroller for Proactive Blind Spot Detection

Bilqisthi Ananda Zulfa, Mohammad Hafiz Hersyah — Wed, 29 Apr 2026 16:58:39 +0000

While Heavy Goods Vehicles (HGVs) are essential to the global economy, their massive size creates dangerous visibility gaps, or "blind spots," that place both drivers and other road users at risk. Traditional mirrors often fail to provide a complete view, making maneuvers like lane changes and reversing a constant safety challenge. This research introduces a practical, microcontroller-based intervention designed to act as a "second set of eyes" for the driver. By integrating ultrasonic proximity sensors around the vehicle’s periphery, the system provides immediate auditory warnings when an object enters a hazardous zone. Testing confirms that the system reliably distinguishes between immediate threats and clear paths, using a precise 10 cm threshold to trigger alerts. To further empower the driver, the system incorporates an ESP32-CAM module, which streams a live visual feed of the rear blind spot to a web-based interface. By combining the immediacy of sound with the clarity of real-time video, this dual-layered approach moves beyond passive monitoring to provide a proactive safety net. Ultimately, this study offers a scalable and accessible solution to human error caused by limited visibility in large-scale transportation.

Volume Measurement System of Used Cooking Oil (UCO) Using Internet of Things and Web-Based System

Wed, 29 Apr 2026 17:10:13 +0000

One of the main issues is the discrepancy between the measured and actual oil volumes of used cooking oil (UCO). Using a measurement tank as the measuring medium and an ultrasonic sensor as the tool, a system was developed to automatically measure oil volume with high accuracy. This system allows users to continuously measure oil volume using a servo motor that directs the oil into a storage tank. The system is designed to notify the company and customers via an LCD display and website when the oil measurement is completed. The system successfully measures oil volume using the ultrasonic sensor, achieving an accuracy of 96.74% during implementation.