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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vocatech : Vocational Education and Technology Journal Infotek : Jurnal Informatika dan Teknologi
Arsy Febrina Dewi
Politeknik Negeri Lhokseumawe
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Perancangan Augmented Reality (AR) Sebagai Media Promosi Objek Wisata Berbasis Android Arsy Febrina Dewi; M. Ikbal
Infotek: Jurnal Informatika dan Teknologi Vol 5, No 1 (2022): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (622.906 KB) | DOI: 10.29408/jit.v5i1.4760

Abstract

Tourism is one of the most important things for an area. Interesting and crowded tourism shows the progress of the area. One way to promote tourism is by media promotion. There are many ways that can be used for promotion, one of which is by utilizing information technology based on Augmented Reality (AR). AR is a technology that displays 3D virtual objects into a real environment and builds visualization of 3D images in tourist brochures to be more informative. AR helps users get clearer information about the attractions they want to visit in Langsa city. The use of AR on Android makes the system more accessible to users. Based on trials, the AR system was successfully implemented on the Android system. In addition, camera trials were also carried out based on distance, tilt angle, and lighting when detecting tourist attraction markers. The result is that the camera successfully detects the target image (marker) and generates a 3D animation of a tourist attraction. However, the best results in detecting markers are distances above 15cm at an angle with cloudy sunlight lighting criteria.
Analisis Karakteristik Modul PV Monocrystalline dan Polycrystalline di Lingkungan Tropis Muhammad Basyir; Aidi Finawan; Arsy Febrina Dewi; Yuli Mauliza; M Fitri Anggito Sitorus
VOCATECH: Vocational Education and Technology Journal Vol 8, No 1 (2026): April
Publisher : Akademi Komunitas Negeri Aceh Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38038/vocatech.v8i1.324

Abstract

Monocrystalline and polycrystalline photovoltaic modules continue to dominate solar power system applications; however, experimental evidence based on field measurements in tropical environments remains relatively limited. This study aims to analyze and compare the performance of both PV module types through outdoor testing conducted over 30 days in Indonesia, considering the combined effects of module temperature, dust deposition, and relative humidity. The method employed was comparative field testing with real-time monitoring of key electrical parameters, namely voltage, current, and power, as well as environmental variables. The results indicate that monocrystalline modules consistently outperform polycrystalline modules, with an average power output of 102.4 W (8.6% higher) and a conversion efficiency of 17.8% (11.9% higher). Statistical analysis confirms that the performance difference is significant (p 0.0001; Cohen’s d = 1.85). Module operating temperature was identified as the dominant factor contributing to power degradation, followed by dust and humidity. Collectively, these three environmental factors resulted in an estimated power loss of 13.4% for monocrystalline modules and 16.0% for polycrystalline modules. These findings suggest that monocrystalline modules are better suited for small-scale and residential PV applications in tropical regions due to their superior performance, higher efficiency, and greater thermal resilience.   
Deep Learning–Based ASD Detection from EEG Signals: A Comparison of InceptionTime and XceptionTime Architectures Rachmawati Rachmawati; Arsy Febrina Dewi; Melinda Melinda; Razita Nadhira; Aufa Rafiki; Nurlida Basir
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 11, No. 4, November 2026 (Article in Progress)
Publisher : Universitas Muhammadiyah Malang

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Abstract

Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition characterized by persistent social-communication impairments and restricted or repetitive behaviors. While clinical assessment remains the diagnostic gold standard, the demand for objective and scalable screening tools has motivated EEG-based automated classification. However, under controlled experimental settings, the relative contributions of preprocessing choices and deep learning architecture selection to ASD detection performance remain insufficiently quantified. This study systematically benchmarks artifact-aware preprocessing and model architecture by comparing InceptionTime and XceptionTime across four end-to-end processing schemes that isolate the effects of independent component analysis (ICA) and classifier design under identical segmentation and evaluation protocols. A public King Abdulaziz University EEG dataset comprising 16 subjects (8 ASD, 8 controls) was used. Signals were bandpass-filtered using a fourth-order Butterworth filter (0.5–45 Hz), optionally denoised via ICA, and segmented into 4-s windows with 50% overlap. Models were evaluated using 8-fold subject-wise cross-validation. Performance was assessed using accuracy, precision, sensitivity, specificity, and F1-score, and statistical significance was tested with the Wilcoxon signed-rank test. The Butterworth+ICA+InceptionTime pipeline achieved the best results, with a mean accuracy of 0.9886 ± 0.0046 and an F1-score of 0.9879 ± 0.0049. ICA inclusion and architecture choice yielded significant improvements in accuracy (  for both, ). These findings indicate that structured artifact suppression and multi-scale temporal modeling jointly enhance EEG-based ASD classification, supporting their use in robust clinically oriented screening systems.
Co-Authors . Melinda Aidi Finawan Aufa Rafiki Basyir, M. M Fitri Anggito Sitorus M. Ikbal Nurlida Basir Rachmawati Rachmawati Razita Nadhira Yuli Mauliza