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Analisis Pengereman Dinamik Motor Brushless Direct Current Pada Mobil Listrik Siregar, Josua Perjuangan; Setiawan, David; Eteruddin, Hamzah
Electrical Today Vol 1 No 02 (2025): Electrical Today: December 2025
Publisher : Asosiasi Material Terapan dan Teknologi (AMTT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65794/J.Electo.1.02.71-78

Abstract

Artikel ini bertujuan untuk menganalisis pengaruh variasi nilai tahanan pada sistem pengereman dinamis terhadap kinerja penghentian dan suhu motor Brushless DC (BLDC) pada mobil listrik. Tiga nilai tahanan eksternal (11 Ω, 15 Ω, dan 18 Ω) diuji pada empat tingkat pembukaan pedal akselerator (25%, 50%, 75%, 100%) menggunakan beban 65 kg di lintasan datar. Parameter yang diukur meliputi waktu henti, jarak henti, dan suhu motor; setiap kondisi diuji ulang lima kali dan dianalisis menggunakan nilai rata-rata. Hasil menunjukkan bahwa penurunan nilai tahanan meningkatkan arus dan torsi pengereman, sehingga waktu dan jarak henti berkurang, disertai penurunan suhu motor. Pada pedal 100%, tahanan 11 Ω menghasilkan waktu henti terpendek (5,75 s), jarak henti terpendek (20,31 m), dan suhu terendah (41,7 °C) dibanding nilai tahanan lainnya. Temuan ini menegaskan bahwa pemilihan nilai tahanan rendah dengan kapasitas daya yang memadai dapat meningkatkan efektivitas pengereman dinamis sekaligus mengurangi beban termal pada motor BLDC.
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.