cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Rifki Suwandi
Contact Email
chipset@it.unand.ac.id
Phone
+6285263546500
Journal Mail Official
chipset@it.unand.ac.id
Editorial Address
Department of Computer Engineering, Faculty of Information Technology, Universitas Andalas, Limau Manis Campus, Padang 25163, West Sumatra
Location
Kota padang,
Sumatera barat
INDONESIA
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 86 Documents
 5   6   7   8   9 
Sistem Pemantauan Kehadiran Piket di Sekretariat Berbasis Algoritma Haversine Zizilah Kaoy, Muhammad Herbi; Suwandi, Rifki; Pramawahyudi, Pramawahyudi
CHIPSET Vol. 6 No. 02 (2025): 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.6.02.124-134.2025

Abstract

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.
Implementasi Smart Room Pada Ruangan Very Important Person (VIP) Berbasis Internet of Things (IoT) Arvan, Muhammad Haekal; Puteri Novani, Nefy; Hadelina, Rizka
CHIPSET Vol. 6 No. 02 (2025): 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.6.02.151-159.2025

Abstract

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.
Parameter Control System of Aeroponic Method on Plants Based on Internet of Things (IoT) Zahran, Dzaki; Yolanda, Desta; Purbolingga, Yoan
CHIPSET Vol. 6 No. 02 (2025): 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.6.02.186-194.2025

Abstract

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.
Two-Wheeled Vehicle Access Control System Using QR Code Based on Optical Character Recognition Johanna, Muhammad Hadrian; Putra, Dody Ichwana
CHIPSET Vol. 6 No. 02 (2025): 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.6.02.160-166.2025

Abstract

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 Alhafizh, Ahmad Abrar; Erlina, Tati
CHIPSET Vol. 6 No. 02 (2025): 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.6.02.167-174.2025

Abstract

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 Nuari, Aldi; Rahmadya, Budi; Hafizulhaq, Fadli
CHIPSET Vol. 6 No. 02 (2025): 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.6.02.175-185.2025

Abstract

Avocado is an important commodity that requires proper postharvest handling, particularly insorting based on ripeness levels and fruit condition. Conventional methods that still rely onmanual inspection have limitations in terms of accuracy and efficiency. This study proposes areal-time sorting system based on YOLOv8n running on a Raspberry Pi 4 Model B with aGoogle 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 of84.4%, and a macro-average F1-Score of 80.6%. The system was integrated with a camera forimage acquisition and a mini conveyor for the sorting process. Experimental resultsdemonstrated reliable detection with an inference speed of 11.7 ms per image, and field testingsuccessfully classified avocados according to their categories. This system has proven to beeffective, cost-efficient, and supports the improvement of avocado postharvest quality.

Page 9 of 9 | Total Record : 86

 5   6   7   8   9 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue Vol. 6 No. 02 (2025): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 6 No. 01 (2025): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 5 No. 02 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 5 No. 01 (2024): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 4 No. 02 (2023): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 4 No. 01 (2023): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 3 No. 02 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 3 No. 01 (2022): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 2 No. 02 (2021): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 2 No. 01 (2021): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 1 No. 02 (2020): Journal on Computer Hardware, Signal Processing, Embedded System and Networkin Vol. 1 No. 01 (2020): Journal on Computer Hardware, Signal Processing Embedded System and Networking More Issue