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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): JEECS (Journal of Electrical Engineering and Computer Sciences)
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%.
Perbandingan Algoritma K-NN dan SVM dalam Analisis Sentimen Ulasan Pengguna Aplikasi JMO Anggreini Simanjuntak, Sevia; Bettiza, Martaleli; Magfira, Fortia
SISFOTENIKA Vol. 16 No. 1 (2026): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/sisfotenika.v16i1.584

Abstract

Perkembangan teknologi digital mendorong berbagai sektor untuk mengadopsi layanan berbasis aplikasi guna meningkatkan efisiensi dan kemudahan akses. Salah satu inovasi tersebut adalah aplikasi JMO (Jamsostek Mobile) yang dikembangkan oleh BPJS Ketenagakerjaan untuk mempermudah peserta dalam mengakses layanan jaminan sosial tenaga kerja. Namun, banyaknya keluhan pengguna di Google PlayStore menunjukkan bahwa kualitas layanan aplikasi ini masih perlu ditingkatkan. Oleh karena itu, penelitian ini bertujuan untuk melakukan analisis dan perbandingan performa algoritma Support Vector Machine (SVM) dan K-Nearest Neighbor (K-NN) dalam klasifikasi sentimen ulasan pengguna aplikasi JMO. Data ulasan dikumpulkan dari Google PlayStore dan melalui proses preprocessing mencakup pembersihan teks, tokenization, penghapusan stopword, serta stemming. Representasi fitur dilakukan menggunakan metode TF-IDF. Hasil pengujian model menunjukkan bahwa algoritma SVM memiliki kinerja klasifikasi yang lebih baik dibandingkan K-NN. Model SVM mencapai akurasi sebesar 90,00%, sedangkan K-NN hanya memperoleh akurasi sebesar 78,25%. Selain itu, SVM juga menunjukkan nilai precision, recall, dan f1-score yang lebih tinggi terutama pada sentimen positif dan negatif. Dengan demikian, metode SVM dinilai lebih optimal dalam mengklasifikasikan sentimen pengguna terhadap aplikasi JMO.
Transformasi Digital Sekolah Piloting: Pengembangan dan Pelatihan Website Profil sebagai Media Informasi dan Promosi di SDN 012 Tanjungpinang Kota Irawan, Feri; Efranda, Nolan; Slam, Berta Erwin; Herikson, Rifaldi; Fahmitra, Novrizal Fattah; Magfira, Fortia; Pertiwi, Marisha; Sinaga, Daniel
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.
PENINGKATAN LITERASI TEKNOLOGI MELALUI SOSIALISASI AUGMENTED REALITY SEBAGAI MEDIA PEMBELAJARAN INTERAKTIF DI SMP DE GREEN CAMP TANJUNGPINANG AS, Zuleriwati; Kusuma, Rijal Al Fatih Wahyu; Nusyirwan , Deny; Yandri, Seply; Apriyenson, Hoki; Magfira, Fortia
PUAN INDONESIA Vol. 7 No. 2 (2026): Jurnal Puan Indonesia Vol 7 No 2 januari 2026
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v7i2.452

Abstract

This community service activity aimed to introduce and demonstrate the use of Augmented Reality (AR) as an interactive learning medium at SMP De Green Camp Tanjungpinang. Through a participatory approach, students and teachers were introduced to the basic concepts of AR, followed by hands-on practice using mobile-based applications that visualize three-dimensional educational objects. The results showed a high level of enthusiasm among participants and improved understanding of visualized content. AR proved effective in bridging the gap between abstract concepts and concrete learning experiences, offering new opportunities to enhance instructional methods. Additionally, this program provided university students with valuable experience in applying technopreneurship skills within an educational setting. Despite challenges such as limited digital infrastructure and device availability, the activity successfully fostered collaboration between the university and local schools in advancing digital transformation in education. This initiative is expected to serve as a pilot model that can be replicated in other institutions to support digital literacy and technological innovation across the Riau Island region
Design of a Web-Based Geographic Information System for Mapping Coastal Areas and Fishermen's Activities on Bintan Island Magfira, Fortia; Kartika , Indah; Pertiwi, Marisha; Mardhiyah Ramdhani, Nida
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.
Sistem Informasi Laporan Laba Rugi Pada UD. Kopi Ayam Ras Jambi Nadia Mutiarani Arumdi Putri; Fortia magfira
Journal of Applied Accounting And Business Vol. 3 No. 2 (2021): JAAB - Desember 2021
Publisher : LP2M Politeknik Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37338/jaab.v3i2.74

Abstract

This study discusses the problems that occur in UD. Kopi Ayam Ras Jambi which is related to accounting records through the calculation of the income statement still uses the manual method that has not used a computerized system that is in accordance with accounting standards. From this, this situation makes it difficult for management to calculate the income statement every month. The purpose of this study is to create an Income Statement System using the single-step method, which is expected to assist management in calculating the company's profit and loss for each period. The profit and loss statement using this single step can make it easier for management to calculate the income, costs, and profit and loss generated each period. So that the management of UD. Kopi Ayam Ras Jambi can find out in real terms the company's profit and loss for each accounting period. The results of this system are expected to have an impact on efficiency and effectiveness in UD operations. Kopi Ayam Ras Jambi gets an accurate profit and loss report through maximum results.
Revitalization of museum collections through augmented reality to improve interactive educational services Magfira, Fortia; Pertiwi, Marisha; Efranda, Nolan; Irawan, Feri; Herikson, Rifaldi; Slam, Berta Erwin; Yandri, Sepli; Ammelia, Euis; Ismail, Basyaruddin
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol. 11 No. 1 (2026): February 2026
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v11i1.16546

Abstract

Museums play an important role in preserving cultural heritage; however, limited interactive media can reduce visitor engagement and understanding. The Sultan Sulaiman Badrul Alamsyah Museum faces a similar challenge, particularly the absence of digital visualization for exclusive collections that are rarely exhibited. This community service activity aims to revitalize museum collections through the use of digital technology and Augmented Reality (AR), while also strengthening the capacity of museum staff in delivering technology-based educational services. The implementation method included socialization, training, and mentoring on the use of an AR application for museum staff and students of SMAN 1 Tanjungpinang as educational users, involving a total of 25 participants. The evaluation was conducted descriptively through direct observation and simple questionnaires to assess user understanding, operational skills, and responses to the use of AR technology. The results show that eight exclusive museum collections were successfully digitized into 3D models and integrated into an Android-based AR application. After the intervention, museum staff demonstrated improved capability in operating and utilizing the AR application as an interactive educational medium. The application shows strong potential for sustainable use as part of museum services and for supporting educational activities and school visits.