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All Journal Journal of Applied Geospatial Information Jusikom : Jurnal Sistem Komputer Musirawas Eksakta : Berkala Ilmiah Bidang MIPA Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal of Applied Multimedia and Networking Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Puan Indonesia Jurnal Sistim Informasi dan Teknologi Jurnal Masyarakat Madani Indonesia JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Pengabdian West Science
Marisha Pertiwi
Universitas Maritim Raja Ali Haji
Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Improving the Quality of X-Ray Images of the Lungs of COVID-19 and Healthy Patients Using the Contrast Limited Adaptive Histogram Equalization (CLAHE) Method in Batam Marisha Pertiwi; Fortia Magfira; Dwi Rahmaisyah; M. Hasbi Sidqi Alajuri
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 10 No. 1 (2025): June
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v10i1.3

Abstract

X-ray imaging is a widely used technique for observing lung patients conditions. Compared to other radiographic methods, X-ray is more accessible, cost-effective, and commonly available in healthcare facilities. However, digital X-ray images often suffer from low quality, particularly in terms of image contrast, which complicates the process of identifying lung abnormalities accurately. In Embung Fatimah Hospital in Batam, X-ray imaging is routinely used to screen COVID-19 and healthy patients. To address the issue of poor image contrast, this study applies the Contrast Limited Adaptive Histogram Equalization (CLAHE) technique, aiming to enhance image clarity and support more effective analysis. The research involved 20 lung X-ray images, consisting of 10 from COVID-19 and 10 from healthy patients, retrieved from the hospital’s radiology department system. The images underwent digital processing using Matlab software. The workflow included converting the images to grayscale before applying contrast enhancement with the CLAHE method, using three different distribution types: Uniform, Rayleigh, and Exponential. Following enhancement, Peak Signal to Noise Ratio and Mean Square Error metrics were calculated for each distribution type to evaluate image quality improvement. The result shown that all three CLAHE methods effectively enhanced the visual contrast of the lung images. The average MSE values for COVID-19 images were 26.27, 25.25, and 25.62, while for healthy images they were 28.27, 27.35, and 27.44. Meanwhile, the average PSNR values for COVID-19 images reached 155.63, 196.58, and 180.58, with healthy images scoring 98.27, 122.22, and 118.97. Overall, the process achieved an accuracy of 100%.
Transformasi Digital Sekolah Piloting: Pengembangan dan Pelatihan Website Profil sebagai Media Informasi dan Promosi di SDN 012 Tanjungpinang Kota Feri Irawan; Nolan Efranda; Berta Erwin Slam; Rifaldi Herikson; Novrizal Fattah Fahmitra; Fortia Magfira; Marisha Pertiwi; Daniel Sinaga
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/060b5j02

Abstract

Pemanfaatan teknologi informasi di lingkungan sekolah dasar menjadi langkah strategis dalam meningkatkan efektivitas kegiatan belajar dan administrasi. Kegiatan pengabdian kepada masyarakat ini dilaksanakan di SD Negeri 012 Tanjungpinang Kota dengan tujuan untuk mengembangkan dan mengimplementasikan Sistem Informasi Manajemen Sekolah (SIMS) yang dapat membantu dalam pengelolaan data akademik, kehadiran siswa, jadwal pelajaran, serta administrasi guru dan staf. Permasalahan yang dihadapi sekolah sebelumnya adalah proses administrasi yang masih dilakukan secara manual, sehingga menghambat efisiensi dan akurasi pengelolaan data. Melalui kegiatan ini, tim pengabdian melakukan analisis kebutuhan, perancangan sistem berbasis web, serta pelatihan penggunaan sistem bagi guru dan tenaga kependidikan. Hasil kegiatan menunjukkan bahwa penerapan SIMS mampu meningkatkan kecepatan akses informasi, mempermudah proses pencatatan dan pelaporan, serta mendukung transparansi dalam pengelolaan administrasi sekolah. Selain itu, guru menjadi lebih terbiasa dalam memanfaatkan teknologi digital untuk menunjang kegiatan belajar mengajar. Dengan demikian, kegiatan ini berkontribusi dalam mendorong transformasi digital di lingkungan pendidikan dasar dan memperkuat kapasitas sekolah dalam pengelolaan informasi secara efektif dan berkelanjutan.
Design of a Web-Based Geographic Information System for Mapping Coastal Areas and Fishermen's Activities on Bintan Island Fortia Magfira; Indah Kartika; Marisha Pertiwi; Nida Mardhiyah Ramdhani
Journal of Applied Geospatial Information Vol. 9 No. 2 (2025): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v9i2.11882

Abstract

Coastal ecosystems and small-scale fisheries in Pengudang Village, Bintan, play an essential role in supporting local livelihoods. However, integrated spatial information on benthic habitats, mangroves, and fishing activities remains limited. This study aims to map coastal ecological conditions and fishing grounds while developing an accessible Web-GIS system to support coastal management. A descriptive qualitative approach was employed. Sentinel-2 Level 2A imagery was analyzed using Maximum Likelihood Classification, supported by field surveys, ground truthing, and interviews with 20 active fishers. Mangrove density was assessed using NDVI analysis. Spatial data, combined with fishers’ activity information, were integrated into a Web-GIS developed using the SDLC Waterfall method. The classification generated four dominant benthic habitat classes including seagrass, sand, mixed substrate, and dead coral with algae. NDVI indicated varying mangrove density levels from low to very high. Fishing grounds were concentrated in shallow waters with seagrass and mixed substrates. Fishers predominantly used kelong and bubu, producing 5–20 kg catch per trip. The developed Web-GIS provides interactive maps, layer selection, and spatial search features. The system enhances accessibility to coastal spatial data and supports evidence-based decision-making for sustainable coastal resource management in Pengudang Village.
Co-Authors Agustina Sartika Yos Ekaristi Manik Basyaruddin Islmail Harahap Basyaruddin Ismail Chidmahdjati, Aria Bagiasa Daniel Sinaga Doli Bonardo Dwi Rahmaisyah Euis Ammelia Feri Irawan Fortia Magfira Gilang Satria Wahyu Dewantara Henry Munandar Manik Hollanda Arief Kusuma Ilmi Nazar Hamdi Indah Kartika Lastri Anggi Fani M. Hasbi Sidqi Alajuri Muhammad Zainuddin Lubis Nida Mardhiyah Ramdhani Nolan Efranda Novrizal Fattah Fahmitra Nur Bayti Rifaldi Herikson Riwinoto , S.T., M.Kom. RozeffPramana Sepli Yandri Silaban , Yessy Christanti Siti Arita Novia SLAM, Berta Erwin Suhengki Tonny Suhendra Wenny Febrina Putri Zuleriwati A.S