Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal Jurnal Inovasi Teknologi Terapan
Ilham Faqih
Politeknik Manufaktur Negeri Bangka Belitung
Agriculture, Biological Sciences & Forestry Computer Science & IT Electrical & Electronics Engineering Mechanical Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Intensitas Cahaya terhadap Voc dan Isc Panel Surya Enggar Hero Istoto; Ilham Faqih; Mura Shaki; Sasha Avrilia; Juliadi Zalukhu
Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v4i2.447

Abstract

Due to Indonesia's year-round abundance of sunlight, solar energy is one of the renewable energy sources with substantial development potential. Photovoltaic panel output characteristics, particularly open circuit voltage (Voc) and short circuit current (Isc), are impacted by variations in solar irradiation. The purpose of this study is to examine how solar irradiation affects a 50 WP monocrystalline solar panel's Voc and Isc values. Direct measurements were made every five minutes between 10:00 and 11:30 in the morning as part of an experimental approach. Solar irradiance, open circuit voltage, and short circuit current were among the parameters that were measured. The results showed that increasing irradiance significantly affected the Isc value, while Voc tended to remain relatively stable. The highest irradiance value was 982 W/m² with a Voc value of 20.6 V and an Isc value of 3.21 A. The findings indicate that the output current of the photovoltaic panel is more sensitive to irradiance changes than the output voltage
Implementasi Sistem Hybrid Verifikasi Kehadiran Berbasis Embedded untuk Monitoring Distribusi MBG Aan Febriansyah; Lesta Lesta; Astria Jana Azzura; Ilham Faqih
Jurnal Inovasi Teknologi Terapan Vol. 4 No. 2 (2026): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v4i2.465

Abstract

Attendance-data validity was essential to support accurate distribution of the Free Nutritious Meals Program. This study designed and implemented a Raspberry Pi 4-based hybrid attendance-verification system with selectable facial and fingerprint recognition. Experimental engineering was applied through device design, dataset preparation, software integration, and subsystem and integrated-system testing. Facial recognition used YOLOv5n as a trigger, MediaPipe for face detection, MobileFaceNet for embedding extraction, and cosine similarity for identity matching. The dataset produced 1,172 valid embeddings from 30 students. Testing achieved 100% fingerprint success, 100% face-detection success, and 94.7% facial-recognition accuracy. All five storage and web-dashboard functions operated as designed. The system supported local, automatic, and integrated attendance recording; however, facial-recognition performance decreased under low illumination.
Co-Authors Aan Febriansyah Astria Jana Azzura Enggar Hero Istoto Juliadi Zalukhu Lesta Lesta Mura Shaki Sasha Avrilia