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Journal : Journal of Global Engineering Research

Design and Hardware Implementation of Buck Converter Solar Charge System Using PID Controller Widi Dionova, Brainvendra; Suryo Jati, Cahyo Wibisono; Wilyanti, Sinka; Restuasih, Sinta; Vresdian, Devan Junesco; Ikmal
Journal of Global Engineering Research and Science Vol. 1 No. 1 (2022): Journal of Global Engineering Research & Science
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/jgers.v1i1.9

Abstract

Nowadays, energy sources in the world at the end until now tends to be filled using fossil fuels. It is estimated that the world energy consumption until 2025 is still dominated by fossil fuels, namely oil, natural gas and coal. The Ministry of Energy and Mineral Resources said that petroleum dominates 54% of energy use in Indonesia. One way to overcome the use of fossil energy sources is to replace them with renewable energy especially photovoltaic. Therefore, this paper presents solar charge system using Buck Converter PID Controller for Spotlight load. Buck Converter with PID Controller is used to produce a smaller and more stable output voltage from solar panels of 14.4 Volts for charging the battery. The PID parameter values ​​obtained after performing calculations using the Analytic Tuning method and tuning are Kp = 0.0307, ​​Ki = 58.20 and Kd = 0.000263. The expected result of this research is to design and implement a solar charge controller as a producer of electrical energy from environmentally friendly energy.
Smart Keyless Locker Design Using Face Recognition Technology Based on the Internet of Things Jakarta Global University Classroom Rahman, Arizki; Pratama, Legenda Prameswono; Hamzah; Dianova, Brainvendra Widi; Olivia Putri, Arisa; Wilyanti, Sinka; Saud, Safa N
Journal of Global Engineering Research and Science Vol. 4 No. 2 (2025): Vol. 4 No. 2 (December 2025): Journal of Global Engineering Research & Science
Publisher : Jakarta Global University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56904/j-gers.v4i2.162

Abstract

This research presents the design and implementation of an Internet of Things (IoT)-based Smart Keyless Locker integrated with face recognition technology to enhance security and efficiency in classroom locker management at Jakarta Global University. The system replaces conventional mechanical keys with biometric authentication to minimize risks associated with key loss, duplication, and unauthorized access. The hardware architecture consists of a Raspberry Pi as the primary processing unit for facial recognition, an Arduino Mega for actuator control, a camera module for image acquisition, solenoid door locks as locking mechanisms, load cell sensors for locker status detection, and an IoT-based notification system integrated with WhatsApp for real-time monitoring. The facial recognition process utilizes the Haar Cascade Classifier for face detection and the Local Binary Patterns Histograms (LBPH) algorithm for feature extraction and matching. System performance was evaluated under various conditions, including differences in lighting intensity, facial orientation, distance, and face coverings. Experimental results indicate that the system achieved a recognition success rate of 50% under the tested conditions, particularly within a distance range of 40–70 cm and adequate lighting. The average verification time ranged from 1.4 to 2.1 seconds depending on facial angle, while the WhatsApp notification system demonstrated reliable message delivery with an average delay of 4.75 seconds. Although recognition performance decreases when facial features are partially obstructed or when lighting is insufficient, the proposed system demonstrates the feasibility of integrating biometric authentication with IoT technology for modern classroom locker management applications.