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Angkasa: Jurnal Ilmiah Bidang Teknologi
Published by Institut Teknologi Dirgantara Adisutjipto
ISSN : 20859503     EISSN : 25811355     DOI : 10.28989/angkasa
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 343 Documents
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Face Recognition Application for Lecture Attendance Using FaceNete Rafieldo, Ricky Marcelino; Usman, Uke Kurniawan; Putra, Heru Syah
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 2 (2025)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i2.3103

Abstract

Student Attendance Systems that still rely on manual or semi-manual methods are often prone to recording errors and misuse, which can disrupt the academic evaluation process. Facial recognition technology can offer a solution by enabling the unique identification of individuals based on facial features and allowing automatic, real-time attendance recording. This study aims to develop a facial recognition attendance system using Google ML Kit and FaceNet in a mobile application. Testing was conducted under various conditions, including different distances, lighting, and the use of accessories, to evaluate the system's reliability in real-world scenarios. The results show 100% accuracy at distances of 50 cm, 100 cm, and 150 cm, although recognition time slowed from 1.328 seconds at 50 cm to 1.963 seconds at 150 cm. Accuracy decreased in low-light conditions, and the simultaneous use of accessories such as hats and glasses reduced accuracy to 78.75%. Additionally, the system exhibited a False Acceptance Rate (FAR) of 10% when tested with faces outside the database. Overall, the developed facial recognition system demonstrates high accuracy under ideal conditions but still requires optimization for varying environmental conditions.
Reliability Assessment and Maintenance Strategy of Retreaded Tires in Commercial Aircraft: A Study on Usage Effectiveness Agustini, Vera Yuliana; Nova, muhammad Andi; Suyitno, Budhi Muliawan; Dewadi, Fathan Mubina; Dzulfiqar, Mohamad Alif
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 2 (2025)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i2.2972

Abstract

Aircraft has become a mode of transportation experiencing a significant increase in demand in line with global mobility growth, including in Indonesia. The rise in flight cycles has consequently increased the need for reliable and cost-efficient aircraft tires. This study aims to analyze the reliability and failure patterns of retreaded aircraft tires using the two-parameter Weibull distribution method (β and η). Data were obtained from operational records of commercial aircraft and analyzed to determine the Mean Time To Failure (MTTF), failure modes, and maintenance strategy effectiveness. The results indicate that the highest reliability occurs in the third retreading cycle, with a reliability value of 0.99 and an MTTF of 180 flight cycles. The dominant failure mode is identified as wear-out failure, suggesting that preventive maintenance through regular inspection and replacement is the most effective approach. These findings provide a scientific basis for improving operational safety and efficiency while supporting the implementation of sustainable maintenance practices in the national aviation industry.
Implementasi Smart Greenhouse Berbasis IoT Untuk Budidaya Brokoli Green Magic F1 (Brassica Oleracea Var. Green Magic F1) Media Hortikultura Anwar, Gilang Khairul; Handayani, Trie; Prasojo, Joko; Yuliani, Oni
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 2 (2025)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v17i2.3115

Abstract

Indonesia merupakan salah satu negara tropis dengan 11% wilayah tropis yang dapat ditanami dan dibudidayakan setiap tahunnya, hal ini memudahkan petani untuk memenuhi kebutuhan pangan masyarakat Indonesia, seperti kebutuhan pangan sayur dan buah-buahan. Kebutuhan pangan tidak dapat terpenuhi sepenuhnya dikarenakan tingginya angka pembangunan perumahan dan gedung bertingkat, hal ini menyebabkan berkurangnya lahan pertanian dengan rata-rata peralihan lahan pertanian menjadi lahan non-pertanian mencapai 100.000 hektar pertahunnya. Penelitian bertujuan untuk memanfaatkan keterbatasan lahan dengan smart greenhouse untuk budidaya brokoli green magic f1 (brassica oleracea var. green magic f1) media hortikultura, prototipe dirancang dengan menggunakan Esp32, DHT22, DS18B20, YL-69, Soil pH, RTC, Water Pump, dan Exhaust Fan. Penelitian dilakukan dengan merancang dan mengembangkan alat prototipe yang terintegrasi internet of things (IoT). Alat prototipe dirancang untuk menyiram tanaman secara real time (jam 07.00 WIB dan 16.00 WIB) atau otomatis (kelembaban 80%-90%) dan menstabilkan suhu greenhouse (18) yang dimonitor dan dikontrol melalui aplikasi Blynk pada ponsel.

Page 35 of 35 | Total Record : 343

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