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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 350 Documents
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Face Recognition Application for Lecture Attendance Using FaceNete Usman, Uke Kurniawan; Rafieldo, Ricky Marcelino; Putra, Heru Syah
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 17, No 2 (2025): November
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): November
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): November
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.
Numerical Analysis of Mass Flow Rate Effect for 18650 Lithium-ion Battery Modules Thermal Management with Liquid Cooling System Fourlando, Rainer Samuel; Julian, James; Wahyuni, Fitri; Purba, Riki Hendra; Madhudhu, Fathin Muhammad; Armadani, Elvi
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3503

Abstract

Effective thermal management is critical for the safety and performance of lithium-ion batteries. This study numerically investigates a liquid cooling system with a mini-channel cold plate, focusing on how different coolant ṁ affect the thermal performance of an 18650 cylindrical lithium-ion battery module. Simulations were conducted using three mass flow rate (ṁ) 0.0001, 0.0003, and 0.0005 kg/s to evaluate their impact on maximum temperature (Tmax) and temperature difference (ΔT). Results show that increasing the ṁ significantly lowers the battery's maximum temperature. besides, increasing the ṁ will cause a higher pressure drop. All configurations successfully maintained excellent temperature uniformity, keeping the temperature difference well below the critical 5°C threshold. Therefore, this study confirms the system's effectiveness and highlights the necessity of optimizing (ṁ) based on the trade-off between thermal efficieny and pressure drop for designing reliable battery thermal management systems.
An End-to-End Machine Learning Pipeline for Online Purchase Intention Prediction Using Random Forest and MLOps Practices Setiawan, Akas Bagus; Riskiawan, Hendra Yufit; Putranto, Hermawan Arief; Rizaldi, Taufiq; Atmoko, Rachmad Andri
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3841

Abstract

Predicting online shoppers' purchase intention is a key issue in e-commerce because it directly affects conversion and marketing effectiveness. The main focus of this article is a Random Forest purchase-intention model accompanied by an end-to-end MLOps implementation to ensure production readiness. The dataset used is Online Shoppers Intention with 12,330 samples and 18 features representing administrative, informational, and product-related characteristics, along with behavioral metrics. Preprocessing includes missing-value imputation, numerical feature standardization, categorical feature encoding, and outlier removal using the z-score method. The model is optimized with GridSearchCV and 3-fold cross-validation. Test results show 91.38% accuracy with 73.60% precision, 56.64% recall, and 64.02% F1-score for the positive class. MLOps implementation uses MLflow for experiment tracking, Prometheus-Grafana for monitoring, and a GitHub Actions-based CI/CD pipeline for deployment automation. Overall, the Random Forest model delivers strong predictive performance on e-commerce data and is supported by an MLOps pipeline that improves reproducibility, deployment, and production monitoring
Bibliometric Mapping and Narrative Review of Macroergonomics in Modern Industry Nurwildani, Mohammad Fajar; Purnomo, Hari; Soewardi, Hartomo; Kusrini, Elisa
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3887

Abstract

The rapid acceleration of modern industry driven by automation and AI requires a systematic approach to aligning workers, technology, and organizations, a role addressed by macro ergonomics. This study maps the intellectual structure and evolution of macro ergonomics in modern industrial contexts through a hybrid systematic literature review and bibliometric analysis of 233 Scopus-indexed documents. Using R-based bibliometric methods, key trends, collaboration networks, and thematic clusters were identified. The findings show that macro ergonomics has evolved into a critical sociotechnical framework for Industry 4.0/5.0, supporting organizational resilience, safe human–AI integration, and the reduction of systemic risks in automated environments. Three dominant research themes emerge: digital integration, organizational optimization, and human-centered design, alongside notable gaps in global collaboration and SME applications. Overall, this study consolidates the scientific landscape of macro ergonomics and provides guidance for future research and practical implementation of holistic, adaptive, and human-centric work systems.
Implementasi Forward Kinematics pada Prototipe Robot Lengan Pembuat Kopi Mutiarani, Mutiarani; Ikhsan, Muhammad
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3860

Abstract

Penelitian ini bertujuan mengimplementasikan Forward Kinematics pada robot lengan 4-DOF untuk pembuatan kopi otomatis. Prototipe menggunakan Arduino Uno, PCA9685, servo MG996R/MG90S, relay, dan pompa air mini. Gerakan diprogram dengan teach mode dan disimpan di EEPROM dengan kontrol open-loop. Metode Forward Kinematics dengan parameter Denavit-Hartenberg digunakan untuk menghitung posisi end effector dan divalidasi melalui pengukuran fisik pada 30 titik uji. Hasil menunjukkan error rata-rata 1,36 cm dengan tingkat keberhasilan 83% dan waktu eksekusi rata-rata 29,47 detik per siklus. Penelitian ini membuktikan metode Forward Kinematics dengan parameter DH efektif untuk validasi akurasi posisi robot lengan open-loop pada aplikasi F&B, serta prototipe dapat meningkatkan otomasi produksi skala kecil di industri F&B.
RANCANG BANGUN SISTEM DETEKSI KERUSAKAN BUAH APEL MERAH BERBASIS MIKROKONTROLER DENGAN PENDEKATAN LOGIKA FUZZY SUGENO Dini, Juan; Ikhsan, Muhammad
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3863

Abstract

The manual apple sorting process still has limitations in terms of speed, objectivity, and accuracy, thus potentially reducing product quality in the market. This study aims to design and implement a microcontroller-based red apple damage detection system with a Sugeno Fuzzy logic approach using a TCS3200 color sensor and an MQ-135 gas sensor. Color and gas parameters are used as indicators of physical and chemical changes in the fruit due to the decay process. Sensor data is processed by a microcontroller to classify the condition of apples into three categories, namely good, slightly damaged, and severely damaged, and to control the sorting mechanism automatically. The research method is carried out through prototype design, experimental data collection, application of fuzzy rules, and system testing on 30 apple samples. The test results show that the system is able to classify 26 of the 30 samples correctly with an accuracy level of 86.7%. These findings prove that the combination of color and gas sensors with the Sugeno Fuzzy approach is effective for detecting apple damage automatically and has the potential to increase the efficiency of the sorting process in agriculture.
Analisis Komponen Rear Back-Up Fitting Terhadap Damage Tolerance dan Durability Pada Vertical Tail Pesawat Nugroho, Fajar; Hartini, Dwi; Ahmadi, Nurfi; Ilahi, Resa Fadhol
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3403

Abstract

Aircraft structures are subjected to repetitive cyclic loading that may induce fatigue damage and crack propagation, potentially compromising structural integrity and flight safety. This study examines the damage tolerance and durability of the rear back-up fitting, a critical structural component of the aircraft vertical tail. The analysis combines the Finite Element Method (FEM) to identify stress concentration regions with crack propagation simulations using D-CRACK software under representative operational loading spectra. The results indicate that the most critical locations occur at the fastener holes of PSE V03-A and PSE V03-B. PSE V03-A reaches a critical crack length of 287.646 mm after 328,801 flight cycles, while PSE V03-B reaches a critical crack length of 283.427 mm after 756,190 flight cycles. The longer fatigue life observed in PSE V03-B is primarily attributed to the presence of a stiffener, which effectively reduces stress concentration and slows crack growth rates. In accordance with FAR 25.571, the first inspection is recommended at 12,294 flight cycles for PSE V03-A and 15,000 flight cycles for PSE V03-B, followed by periodic inspections every 2,000 cycles. These results provide a quantitative basis for determining inspection intervals and support the development of a damage-tolerance-based maintenance manual to enhance structural reliability, operational safety, and long-term aircraft durability
Study Perbandingan Evaluasi Performa Simulasi CFD Open-Source dan Komersial pada Airfoil NACA 0012 Jayadi, Muhamad; Lestari, Aprilia Sakti Kusuma
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3360

Abstract

Studi ini bertujuan mengevaluasi dan membandingkan pendekatan numerik dua perangkat lunak Computational Fluid Dynamics (CFD), yaitu ANSYS Fluent dan OpenFOAM, dalam memprediksi karakteristik aerodinamika airfoil NACA 0012 pada aliran inkompresibel. Simulasi dilakukan secara steady-state dengan kondisi batas yang diseragamkan, termasuk penggunaan vektor kecepatan pada inlet untuk menjaga konsistensi perbandingan, pada variasi sudut serang 0°, 10°, dan 15°. Parameter utama yang dianalisis meliputi koefisien gaya angkat (Cl) dan koefisien gaya hambat (Cd), yang kemudian dibandingkan dengan data eksperimen Ladson serta referensi numerik tervalidasi. Hasil menunjukkan bahwa kedua platform mampu mereproduksi tren aerodinamis utama sesuai teori klasik airfoil, yakni peningkatan linear Cl pada sudut serang rendah hingga menengah dan kenaikan non-linear Cd pada sudut serang lebih tinggi. Prediksi Cl menunjukkan deviasi relatif kecil terhadap referensi, sedangkan Cd lebih sensitif terhadap konfigurasi numerik seperti model turbulensi dan resolusi mesh. Secara keseluruhan, studi ini memberikan gambaran komparatif yang dapat menjadi dasar pertimbangan metodologis dalam analisis airfoil 2D.

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