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Rifki Suwandi
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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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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.
Sistem Pengatur Akses Jalan Sempit Melalui Object Detection Menggunakan Algoritma YOLO Putra, Iqshan Aditia; Ferdian, Rian
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.7.01.43-52.2026

Abstract

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
Sistem Pendeteksi Nilai Nominal dan Keaslian Uang Kertas Rupiah untuk Penyandang Tunanetra berbasis Mikrokontroler Fadtinah, Fadtinah; Yolanda, Desta
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.7.01.59-66.2026

Abstract

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.
Volume Measurement System of Used Cooking Oil (UCO) Using Internet of Things and Web-Based System Koto, Zulafrilian; Anandika, Arrya; Sato, Yuta; Pramawahyudi, Pramawahyudi; Syahputra, Ronaldo
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.7.01.77-84.2026

Abstract

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.
Internet of Things Based System for Detecting Egg Theft Attempts in Quail Layer Housing Hasibuan, Alfi Dzikro; Yendri, Dodon
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.7.01.1-10.2026

Abstract

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.

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