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Vortex
Published by Institut Teknologi Dirgantara Adisutjipto
ISSN : 27216152     EISSN : 30217601     DOI : https://doi.org/10.28989/vortex
Core Subject : Science, Engineering,
Aerospace Engineering Earth & Planetary Sciences Energy Materials Science & Nanotechnology Mechanical Engineering
Vortex merupakan jurnal ilmiah dalam diang dirgantara dengan cakupan Perancangan Pesawat Terbang, Perawatan Pesawat Terbang, Operasi Penerbangan, Mesin Pesawat Terbang dan Elektronika Penerbangan
Arjuna Subject : Ilmu Material (semua kategori) - Logam dan Paduan Logam
Articles 5 Documents
 1 
Search results for , issue "Vol 7, No 1 (2026)" : 5 Documents clear
Structural Design Optimization of Bellcrank 3 in the N219 Aircraft Flap Flight Control System Using the Finite Element Method Hartini, Dwi; Bachtiar, Muhamad Irfan; Nugroho, Fajar; Anna Prattiwi, Elisabeth Anna; Santoso, Djarot Wahju
Vortex Vol 7, No 1 (2026)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v7i1.3819

Abstract

The flap control system is a critical subsystem in aircraft that directly affects aerodynamic performance and flight safety. One of the key mechanical components in this system is the bellcrank, which functions to transmit and redirect loads from the actuator to the flap mechanism. In this study, structural optimization of bellcrank 3 in the flap control system of the N219 aircraft was performed using the Finite Element Method (FEM). Three design configurations were analyzed, namely the base model, optimization model 1 with thickness reduction, and optimization model 2 with the addition of holes in non-critical areas. Structural evaluation was conducted based on mass reduction, displacement, von Mises stress, and margin of safety (MS). The simulation results show that both optimization approaches successfully reduce structural mass compared to the base model. Optimization model 1 achieves the largest mass reduction but results in higher stress levels and lower margin of safety. Optimization model 2 provides a more balanced structural performance, with stress, displacement, and margin of safety values comparable to the base model while maintaining mass reduction. All analyzed configurations exhibit positive margin of safety values, indicating that the structures remain safe under the applied operational loads. Based on the overall structural performance, optimization model 2 is considered the most suitable design for application in the flap control system of the N219 aircraft.
Analisis Berbasis Pemodelan Urban terhadap Proyeksi Kebutuhan Energi Listrik pada Pengembangan Bandar Udara Jenderal Besar Soedirman Purbalingga Darmawan, Isra' Nuur; Kholistianingsih, Kholistianingsih; Prasetyo, Rahardian Luthfi; Irvansyah, Mokhamad; Pramudhipa, Dimas Rendra
Vortex Vol 7, No 1 (2026)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v7i1.3803

Abstract

Bandar udara merupakan simpul transportasi strategis yang memerlukan dukungan infrastruktur energi listrik yang andal dan berkelanjutan. Di Indonesia terdapat 367 bandar udara aktif, salah satunya Bandar Udara Jenderal Besar Soedirman Purbalingga yang masih berada pada tahap pengembangan fasilitas. Kondisi bangunan yang belum sepenuhnya permanen menuntut perencanaan kebutuhan energi listrik secara komprehensif guna mendukung peningkatan pelayanan. Penelitian ini bertujuan memproyeksikan kebutuhan energi listrik kawasan pengembangan bandar udara melalui simulasi menggunakan perangkat lunak Rhinoceros dan Urban Modeling Interfaces. Hasil simulasi menunjukkan nilai Floor Area Ratio sebesar 0,02 dengan rata-rata konsumsi energi operasional 173 kWh/m²/tahun, yang masih memenuhi standar keberlanjutan ASEAN-USAID. Total kebutuhan energi listrik mencapai 4.323.719,87 kWh/tahun, dengan beban terbesar berasal dari sistem pendingin sebesar 47,82%. Analisis pencahayaan alami, emisi karbon, dan mobilitas menunjukkan bahwa kawasan pengembangan masih berada dalam batas aman dan berkelanjutan.
Penerapan LightGBM Dengan Kombinasi Ekstraksi Fitur HSV, GLCM dan HOG Untuk Klasifikasi Bunga Sedik, Stevani Gabriella Ayuk; Tentua, Meilany Nonsi
Vortex Vol 7, No 1 (2026)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v7i1.3787

Abstract

This study applies the LightGBM algorithm with a combination of GLCM, HOG, and HSV feature extraction for flower image classification. The dataset used consists of five types of flowers, namely Sunflower, Rose, Tulip, Dandelion, and Daisy, with a total of 4,242 images. Each image undergoes preprocessing and feature extraction of texture, shape, and color before being trained using LightGBM. The results show that the proposed model achieves an accuracy above 70% in distinguishing the five flower classes. This study provides evidence that the combination of GLCM, HOG, and HSV with LightGBM is able to improve classification performance and can serve as a reference for further research in the field of digital image processing
Klasifikasi Ulasan Aplikasi E-KTP Menggunakan Bidirectional Encoder Respresentations from Transformers Rusdi, Alfida Hari; Tentua, Meilany Nonsi
Vortex Vol 7, No 1 (2026)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v7i1.3788

Abstract

The Digital Population Identity application (E-KTP Digital) is part of e-government development aimed at improving the quality of public services. However, user reviews on the Google Play Store are still grouped based on star ratings, so the level of user satisfaction is not yet described in depth. This study aims to classify the sentiment of user reviews of the E-KTP Digital application using the Bidirectional Encoder Representations from Transformers (BERT) method with the Multilingual BERT (mBERT) model. A total of 15,000 reviews were collected from July 3, 2023 to May 31, 2025 and filtered into 1,750 reviews through data cleaning and manual labeling processes. The dataset is divided into training and testing data with ratios of 60:40, 70:30, and 80:20. The training process is conducted using the AdamW optimizer for 4 epochs with a batch size of 16. Model evaluation is planned using accuracy, precision, recall, and F1-score metrics to measure the performance of user review sentiment classification.
The Impact of Compressor Wash Maintenance on the Rolls Royce M250-B17F Engine Performance of Grob G 120TP-A Aircraft Prakoso, Agung; Lukito, Indro; Junaidin, Buyung; Wibowo, Teguh; Budiono, Cyrilus Sukaca
Vortex Vol 7, No 1 (2026)
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/vortex.v7i1.3817

Abstract

The Grob G 120TP-A is a training aircraft powered by the Rolls Royce M250-B17F engine with limited aerobatic capabilities. To optimize its flight performance, maintenance procedures such as compressor wash are essential. Compressor washing is conducted periodically every 100 flight hours to clean the compressor blades from contaminants caused by humidity and salt particles. This study used thermodynamic analysis to evaluate the increase in thrust power and effective power after compressor washing at different Outside Air Temperatures (OAT). The results indicate that after compressor washing, the thrust power increased by 4.3% and the effective power increased by 0.3%, demonstrating the importance of routine maintenance in sustaining optimal engine and aircraft performance.

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