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All Journal Scientific Journal of Informatics Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Passa, Rahma Satila
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YOLOv8 Based on Data Augmentation for MRI Brain Tumor Detection Passa, Rahma Satila; Nurmaini, Siti; Rini, Dian Palupi
Scientific Journal of Informatics Vol 10, No 3 (2023): August 2023
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v10i3.45361

Abstract

Purpose: This research aimed to detect meningioma, glioma, and pituitary brain tumors using the YOLOv8 architecture and data augmentations.Methods: This research employed the YOLOv8 architecture with data augmentation techniques to detect meningioma, glioma, and pituitary brain tumors. The study collected a dataset of T1-weighted contrast-enhanced images. The dataset is used for training, validation, and testing. Preprocessing and augmentation are applied to enhance the training data.Result: After applying data augmentation techniques, the performance of all tumor types improves significantly. Meningioma, Glioma, and Pituitary tumors demonstrate increased Precision, Recall, and mAP50 scores compared to the results before augmentation. The findings highlight the effectiveness of the proposed method in enhancing the model's ability to accurately detect brain tumors in MRI scans. The research conducted both with and without augmentation followed a similar procedure: data collection was first undertaken, followed by preprocessing and with or without augmentation. Subsequently, the collected data was partitioned into training and validation subsets for training with the YOLOv8 architecture. Finally, the model's performance was evaluated through testing to assess its effectiveness in detecting brain tumors.Novelty: The novelty of this research lies in the YOLOv8 architecture and data augmentation techniques for MRI brain tumor detection. The study contributes to the existing knowledge by demonstrating the effectiveness of deep learning-based approaches in automating the detection process and improving the model's performance. By combining YOLOv8 with data augmentation, the proposed method enhances the model's accuracy and efficiency. The research findings emphasize the potential of this approach in facilitating early diagnosis and treatment planning, thereby improving patient care in the context of brain tumor detection. 
Pelatihan dan Pendampingan Transformasi Digital untuk Penguatan Pemasaran Produk UMKM Melalui Website Fachrurrozi, M; Seftianto, Ferlian; Hardoni, Andre; Baturohmah, Habi; Novanza, Trional; Iqrom, Redho Aidil; Caryn, Femilia Hardina; Ramadhan, Mgs. M. Luthfi; Passa, Rahma Satila
Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Vol. 6 No. 2 (2026): Maret 2026 - Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/altifani.v6i2.1094

Abstract

Banyak UMKM di Sumatera Selatan belum mampu memanfaatkan teknologi digital untuk pemasaran karena rendahnya literasi digital, tidak adanya platform promosi online, serta minimnya pendampingan teknologi. Hal ini membuat jangkauan pasar terbatas dan menghambat peningkatan daya saing. Untuk meningkatkan daya saing UMKM dilakukan pendekatan Participatory Action Approach melalui empat tahap: (1) sosialisasi dan pemetaan kebutuhan (2) pelatihan literasi digital dan pembuatan website (3) pendampingan pengelolaan website (4) evaluasi serta perencanaan keberlanjutan. Kegiatan berlangsung Juli–November 2025 di UMKM Bingkai Kaca Anugrah Jaya, Palembang. Mitra berhasil membuat dan mengelola website https://tokobingkaiplg.com/. Website menampilkan profil usaha, katalog produk, serta integrasi dengan media sosial. Terdapat peningkatan kemampuan literasi digital mitra, peningkatan interaksi pengunjung website rata-rata sekitar 20% dalam dua bulan awal. Program Transformasi digital melalui website ini berhasil meningkatkan jangkauan pemasaran serta memperkuat daya saing produk lokal. Model pelatihan dan pendampingan terbukti efektif dan dapat direplikasi pada UMKM lain.
Co-Authors Caryn, Femilia Hardina Dian Palupi Rini Habi Baturohmah Hardoni, Andre Iqrom, Redho Aidil M Fachrurrozi, M Novanza, Trional Ramadhan, Mgs. M. Luthfi Seftianto, Ferlian Siti Nurmaini