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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) International Journal of Applied Power Engineering (IJAPE) Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Prosiding Semnastek Jurnas Nasional Teknologi dan Sistem Informasi Proceeding SENDI_U ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization SISFO Jurnal Hilirisasi IPTEKS (JHI) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pengabdian kepada Masyarakat Andalasian International Journal of Applied Science, Engineering, and Technology Industrial Research Workshop and National Seminar Riset Informasi Kesehatan JURNAL REKAYASA KIMIA & LINGKUNGAN
Fajril Akbar
Andalas University
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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A Web App for Acne Severity Identification with RGB Image Color Scheme Fajril Akbar; Erick Octa Wardana
Jurnal Nasional Teknologi dan Sistem Informasi Vol 12 No 1 (2026): April 2026
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v12i1.2026.79-86

Abstract

One of the new challenges resulting from the advancement of Artificial Intelligence is the creation of artificially realistic media, including the generation of fake images known as deepfakes. The generation of increasingly realistic fake images is also carried out in various fields of life including health. Detection methods are constantly being updated to address the misuse of fake medical images. This research focuses on deepfake detection using real and fake lung CT scan datasets. The YOLOv11 model is tested incrementally to be able to detect both types of images. Two manipulation methods CT-GAN and stable diffusion (SD) are used to test the performance of the YOLOv11 model. The results showed that the YOLOv11 model tested using stable diffusion artificial image manipulation achieved 100% accuracy, precision, recall and f1-score. Meanwhile, CT-GAN image manipulation has problems in producing a perfect model in distinguishing real and fake lung cancer CT scan images. With further improvements and enhancements, YOLOv11 fine tuning results can be one of the options for deepfake medical image models that are relatively lightweight, fast, and accurate.
IMPLEMENTASI WEBSITE PROFILE PENGINAPAN “BAGOES VIEW COTTAGES” MANINJAU Hafizah Hanim; Ricky Akbar; Husnil Kamil; Fajril Akbar; Rahmatika Pratama S; Afriyanti Dwi Kartika; Dwi Welly Sukma N; Adi Arga Arifnur; Surya Afnarius; Hasdi Putra; Haris Suryamen; Jefril Rahmadoni; Aina Hubby Aziira; Ullya Mega Wahyuni; Febby Apri Wenando; Lova Endriani Zen
J-ABDI: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 8 (2025): Januari 2026
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A website is a crucial digital marketing tool that helps businesses provide comprehensive information and increase customer confidence. Previously, Bagoes View Cottages, a guesthouse near Maninjau Lake, relied solely on Instagram for online marketing, which led to a lack of credibility among prospective visitors. Building a professional profile website is the goal of this community service project in order to improve the cottage's online visibility and promote better marketing results. Three phases comprised the activities: planning, execution, and reporting. Coordinating with the cottage management to collect the necessary images and text was part of the preparatory phase. The team created the website and carried out a formal handover to the owner throughout the deployment phase. The finished website, which can be found at http://bagoesviewcottages.com, offers a wealth of information, including room specifications, rates, and contact data. The website has been well received and is anticipated to raise awareness and draw more guests to Bagoes View Cottages.
Pemetaan Kualitas Udara Menggunakan Integrasi K-Means dan Random Forest Berbasis Data Sentinel-5P Muhammad Ridwan; Fenty Kurnia Oktorina; Hanifah Khairiah; Fajril Akbar
Jurnal Nasional Teknologi dan Sistem Informasi Vol 12 No 2 (2026): Agustus 2026
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v12i2.2026.222-230

Abstract

Kualitas udara merupakan salah satu indikator penting dalam pengelolaan lingkungan, namun ketersediaan data hasil pengukuran lapangan masih terbatas pada banyak wilayah, termasuk Kabupaten Kampar. Penelitian ini bertujuan menganalisis sebaran spasial polutan atmosfer, memetakan kualitas udara menggunakan integrasi metode K-Means dan Random Forest, serta mengidentifikasi kontribusi masing-masing parameter polutan terhadap pembentukan kelas kualitas udara. Penelitian memanfaatkan data Sentinel-5P Level-3 periode Januari–Desember 2025 yang diolah melalui Google Earth Engine (GEE). Lima parameter atmosfer yang digunakan meliputi nitrogen dioksida (NO2), karbon monoksida (CO), sulfur dioksida (SO2), ozon (O3), dan Aerosol Index (AI). Metode K-Means digunakan untuk membentuk pseudo-label melalui proses clustering, kemudian hasilnya digunakan sebagai data pelatihan pada algoritma Random Forest untuk menghasilkan peta kualitas udara. Hasil penelitian menunjukkan bahwa kualitas udara di Kabupaten Kampar terbagi ke dalam tiga kelas, yaitu kelas rendah sebesar 45 persen, kelas sedang 44 persen, dan kelas tinggi 11 persen. Wilayah dengan kualitas udara tinggi terkonsentrasi di bagian selatan Kabupaten Kampar, terutama Kecamatan Kampar Kiri Hulu dan sekitarnya. Analisis feature importance menunjukkan bahwa CO dan Aerosol Index merupakan parameter yang memberikan kontribusi terbesar terhadap pembentukan kelas kualitas udara, diikuti oleh O3, NO2, dan SO2. Selain itu, distribusi spasial kelas kualitas udara tinggi menunjukkan kesesuaian dengan beberapa lokasi kejadian kebakaran hutan dan lahan pada tahun 2025. Penelitian ini menunjukkan bahwa integrasi K-Means dan Random Forest berbasis data Sentinel-5P berpotensi menjadi alternatif pemetaan kualitas udara pada wilayah yang memiliki keterbatasan stasiun.
Banana leaf wax performance as a coating material to reduce fouling and heat for photovoltaic improvement Andi Pawawoi; Refdinal Nazir; Muhammad Imran Hamid; Fajril Akbar
International Journal of Applied Power Engineering (IJAPE) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v15.i3.pp1212-1222

Abstract

The growing dependence on limited fossil fuels and their environmental impact drive the adoption of renewable energy, with photovoltaics (PV) being a leading option. However, PV performance often declines due to elevated operating temperatures and surface fouling, especially in tropical climates, leading to reduced efficiency. To address this, coating materials with dual functionalities of cooling and self-cleaning are needed. This study investigates banana leaf wax as a natural coating to enhance PV performance. The wax was extracted using n-hexane, applied via spray-coating, and characterized through light transmittance tests, scanning electron microscope (SEM) imaging, water contact angle (WCA), adhesion analysis, and field trials on PV modules. The wax demonstrated an average WCA of 127°, with a microcrystalline structure supporting hydrophobic and self-cleaning properties. Field implementation showed that a 9 μm wax layer reduced PV module temperature by approximately 5 °C and increased output power by 15-20% under high irradiance (G ≈1200 W/m²). The cooling effect proved more significant than transmission losses, confirming the potential of banana leaf wax as an effective tropical PV coating. Nevertheless, further studies are required to optimize thickness, strengthen adhesion through hybrid formulations, and integrate the material into advanced optoelectronic coatings for sustainable efficiency improvements.
Co-Authors Ade Susanto Pasaribu Adi Arga Arifnur Afriyanti Dwi Kartika Ahmad Fadli Aina Hubby Aziira Akbar, Ricky Alifah, Wardatul Alvi Dwi Wahyuni Andi Pawawoi Andi Pawowoi Anggia Okta Yorizka Audrya, Helsa Aulia Anshari Fathurrahman Aulia Ayu Lukman Axel Doriza Aziira, Aina Hubby Budi Rahmadya Dendi Adi Saputra M, Dendi Adi Dwi Welly Sukma N Dwi Welly Sukma Nirad Erick Octa Wardana Erma Gustini Fadjar Goembira Fathurrahman, Aulia Anshari Febby Apri Wenando Fenty Kurnia Oktorina Fiqi Arkan Shadiq Fithriyyah, Ulfa Hafid Yoza Putra Hafizah Hanim Hanif Izza Pratama Hanifah Khairiah Hanifah, Salma Hanim, Hafizah Haris Suryamen, Haris Hasanah, Zikriya Hasdi Putra, Hasdi Hasmat Malik Hengky Darma Satria, Hengky Darma Husnil Kamil I Ketut Suada Ida Zahrina Ikhwan Ikhwan Ilham Aminuddin Iqbal Saputra Isra Wilna Lathifah Arief, Lathifah Lestari, Resti Ayu Lova Endriani Zen Luckita, Gema Kesa Mardaleni . Mella Andriani Muhammad Imran Hamid Muhammad Ridwan Muhara, Ikhbal Muharram, Igo Cikal Netti . Novani, Nefy Puteri Okta Yorizka, Anggia Putra, Hafid Yoza Rachmat Hidayanto Rafel Dinur Rafiqah Rafiqah Rahmadoni, Jefril Rahmatika Pratama S Rahmatika Pratama Santi Refdinal Nazir Refsi, Yunita Era Regia, Rinda Andhita Regia, Rinda Andhita Resti Ayu Lestari Rika Ampuh Hadiguna Ronal Chandra Gumara Ryan Prakarsa Putra Salma Hanifah Santi, Rahmatika Pratama Shadiq, Fiqi Arkan SISKA, MIRA Siti Nur Aisah Sri Rezeki Muria Surya Afnairus Surya Afnarius Syafii . Ullya Mega Wahyuni Wahid Fachrul Hafidz Wahyu Rizki Muslyadi Wahyudi Wardatul Alifah Yelmida Azis Yossi Prima Ariyani Yoza Putra, Hafid Yudhi Hartadi Yudi Arfan Yunita Era Refsi Zuheldi, Zuheldi Zultiniar, Zultiniar