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Rifki Suwandi
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chipset@it.unand.ac.id
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chipset@it.unand.ac.id
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Department of Computer Engineering, Faculty of Information Technology, Universitas Andalas, Limau Manis Campus, Padang 25163, West Sumatra
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CHIPSET (Journal on Computer Hardware, Signal Processing, Embedded System and Networking)
Published by Universitas Andalas
ISSN : -     EISSN : 27224422     DOI : https://doi.org/10.25077/chipset
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
CHIPSET (Journal on Computer Hardware, Signal Processing Embedded System and Networking) is a scholarly periodical. CHIPSET will publish research papers, technical papers, conceptual papers, and case study reports. This journal is published by Computer Engineering Department at Universitas Andalas, Padang, West Sumatra, Indonesia. CHIPSET mainly discusses embedded devices, networking, and mobile computing engineering aspects.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 96 Documents
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Rancang Bangun Sistem Pengawasan Gerbang Kos berbasis Mikrokontroler Luthfi, Muhammad Fakhri; Putra, Dody Ichwana
CHIPSET Vol. 7 No. 01 (2026): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.7.01.53-58.2026

Abstract

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.
Chicken Coop Monitoring System using You Only Look Once (YOLO) Algorithm Rahman, Omar Fauzi; Erlina, Tati
CHIPSET Vol. 7 No. 01 (2026): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.7.01.11-18.2026

Abstract

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 Construction of A Back Muscle Injury Detection Device based on The Fuzzy Logic Method Hajri, M Aidil; Rahmadya, Budi
CHIPSET Vol. 7 No. 01 (2026): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.7.01.28-31.2026

Abstract

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.
Design and Implementation of an Automatic Rotating Paddy Drying System based on Microcontroller using Fuzzy Logic Ramdani, Fadhil; Novani , Nefy Puteri
CHIPSET Vol. 7 No. 01 (2026): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.7.01.19-27.2026

Abstract

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.
Speed Bump Generator as A Power Source for Garden Lights Prawira, Aditya; Purbolingga, Yoan
CHIPSET Vol. 7 No. 01 (2026): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.7.01.32-42.2026

Abstract

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.
Enhancing Heavy-Vehicle Safety Utilizing Proximity Sensor and Microcontroller for Proactive Blind Spot Detection Zulfa, Bilqisthi Ananda; Hersyah, Mohammad Hafiz
CHIPSET Vol. 7 No. 01 (2026): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/chipset.7.01.67-76.2026

Abstract

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.

Page 10 of 10 | Total Record : 96

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