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All Journal Jurnal Mantik Penusa ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Mantik JURNAL MAHAJANA INFORMASI Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Kepada Masyarakat (JPKM) Tabikpun JoMMiT : Jurnal Multi Media dan IT International Journal of Basic and Applied Science Jurnal Armada Informatika Jurnal Sains dan Teknologi Widyaloka (JSTekWid) Jurnal Bisantara Informatika
Allwine
Universitas Lampung
Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Transportation

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Enhancing The Precision Detection and Grading of Diabetic Retinopathy through Digital Retinal Imaging Using 3D Convolutional Neural Networks Allwine, Autho; Simanjuntak, Mutiara S; Pulungan, Wahyu Aji
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4387

Abstract

Diabetic retinopathy (DR) is a pressing global health issue that affects the retina and is closely linked to diabetes, leading to vision impairment and blindness, particularly in adults. With the rising incidence of diabetes, the need for efficient and accurate DR screening is critical for early intervention and improved patient outcomes. Automated screening solutions can streamline this process, allowing healthcare professionals to focus more on patient care.In this study, we harnessed advanced deep learning techniques, specifically 3D convolutional neural networks (3D-CNNs), to classify DR into binary categories (presence or absence) and five multiclass categories: mild, moderate, no DR, proliferative DR, and severe DR. Our goal was to enhance diagnostic Precision in ophthalmology. To optimize our models, We embraced two methods transformative data augmentation: random shifting and random weak Gaussian blurring, empowering our model to reach new heights,as well as their combination. Our results showed that, for binary classification, the combined augmentation achieved significant success, The multiclass model was trained without any data augmentation excelled in Precision. These findings highlight the importance of large, high-quality research datas in deep learning algorithms. By leveraging advanced methodologies and robust data, we can transform diabetic retinopathy screening, promoting earlier detection and better treatment outcomes for those affected.
Penerapan Aplikasi KarateProMatch pada Turnamen Bupati Cup Kabupaten Tulang Bawang Barat Pulungan, Wahyu Aji; Allwine, Allwine
Jurnal Pengabdian Kepada Masyarakat (JPKM) TABIKPUN Vol. 6 No. 2 (2025)
Publisher : Faculty of Mathematics and Natural Sciences - Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpkmt.v6i2.221

Abstract

Karate adalah olahraga beladiri yang cukup populer di Indonesia. Disamping banyaknya dojo untuk berlatih, banyaknya turnamen karate merupakan bukti meningkatnya minat masyarakat terhadap olahraga ini. Pengabdian masyarakat ini mengimplementasikan aplikasi KarateProMatch untuk meningkatkan efisiensi dan transparansi Turnamen Karate. Aplikasi dijadikan pilot project pada turnamen karate Bupati Cup di Kabupaten Tulang Bawang Barat. Melalui metode konsultasi dan pelatihan, tim pengabdi membimbing panitia dalam mengotomatisasi pendaftaran, penjadwalan, dan rekapitulasi hasil turnamen. Penerapan aplikasi ini berhasil mengurangi beban kerja, meningkatkan akurasi data, dan mempercepat alur turnamen. Respons positif dari panitia dan peserta menunjukkan kontribusi nyata aplikasi dalam modernisasi manajemen event olahraga daerah.
Perancangan Media Pembelajaran Multimedia Interaktif Peninggalan Sejarah Indonesia Menggunakan Metode Web Based Learning (Study Kasus : SDS Cerdas Bangsa Namorambe) Sinuhaji, Suanti Perwita Br; Allwine, Allwine; Wijaya, Vera; Mardiah, Mardiah
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 7, No 1 (2023): April 2023
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v7i1.15616

Abstract

Education is one area that has a strong influence on internet technology, especially in teaching and learning activities. Technological development is inseparable from the utilization of Human Resources (HR) in supporting learning and being a solution in a lack of learning media on Indonesian historical heritage material in the SDS Cerdas Bangsa Namorambe Case study, especially in class IV SD students. Therefore the authors conducted research on interactive multimedia learning media. This learning media was made due to the lack of learning media so that the lack of design in learning made students less interested in the teaching and learning process so that it was made using web based learning methods. Web Based Learning (WBL) is a technology-based learning system that is used as the utilization of web technology in learning by delivering access to material through web pages. In developing the system used system analysis use case diagrams and activity diagrams with the type of research using the Research and Development (R & D) method. Keywords:Learning Media, Interactive Multimedia, Web Based Learning.
Web-Based Public Service Information System for the Economic and Development Sector Allwine; Badiwibowo Atim, Sandi
Jurnal Bisantara Informatika Vol. 9 No. 2 (2025): Jurnal Bisantara Informatika (JBI) Vol. 9 No. 2 Tahun 2025
Publisher : Akademi Manajemen Informatika dan Komputer PARBINA NUSANTARA Pematangsiantar

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

Abstract

Tanah Merah is a sub-district located at Jl. G. Siinabung No.1, Tanah Merah, South Binjai District, Binjai City. This paper discusses a web-based information system for economic and development services (Ekobang) in Tanah Merah sub-district, Binjai City. From the research conducted, it is concluded that the current data processing system still utilizes Microsoft Word and Microsoft Excel, which, as we know, lack integrated databases, thus leading to potential data redundancy. To address this issue, a web-based Ekobang service information system was designed to facilitate residents in applying for IMB (Building Construction Permit) and SKU (Certificate of Business Domicile) recommendations quickly and easily. The developed system includes data input modules for IMB recommendations, SKU data, EKOBANG data, and user data. This service system was built using PHP and JavaScript programming languages with MySQL as the database. The testing results indicate that the system helps reduce the risk of data duplication.
Co-Authors Afdhaluddin, Muhammad Aji Pulungan, Wahyu Alamsyah, Reza Alamsyah, Reza Alasi, Tomy Satria Aliazer Hutapea Allesandro Osmar D. Aritonang Allesandro Osmar D. Aritonang Andrew Louis Atim, Sandi Badiwibowo Badiwibowo Atim, Sandi Br Sitepu, Gloria Ruth Fobina Febby Angelica Br.Kaban Ferdy Riza Herbert A. Tambunan Herbert A. Tambunan Irwan Jani Tarigan Jakaria Sembiring Jimmi Hendrik P Sitorus Kevin Tambunan Lusianna Aritonang Manullang, Sahat Mardiah Mardiah Mhd. Dicky Syahputra Lubis Mhd. Dicky Syahputra Lubis Muhammad Dicky Syahputra Lubis Muhammad Zamri Mutiara S. Simanjuntak Nurafni Damanik P, Megawati Parhusip, Putri Damayanti Pulungan, Wahyu Aji Purnama Melani Anselma Br Hutahayan Rebecca Irene Rolos Rico Wijaya Rini Sianturi Ryci Rahmatil Fiska Sakban, Muhammad Sinuhaji, Suanti Perwita Br Syafriodin Tarigan, Anggi Tongam E Panggabean Tuty Vera Wijaya Vera Wijaya Wijaya, Vera