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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Square : Journal of Mathematics and Mathematics Education Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Pengabdian Masyarakat Nusantara Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Jurnal Atma Inovasia Jurnal Pengabdian Masyarakat Sains dan Teknologi
Mahiruna, Adiyah
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Environmental Science Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

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Magnetic Resonance Imaging for Breast Cancer Classification Using Convolutional Neural Networks Mahiruna, Adiyah; Destriana, Rachmat; Riansyah, Rahmat
Journal of Applied Informatics and Computing Vol. 9 No. 2 (2025): April 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i2.9101

Abstract

Breast cancer remains a leading cause of mortality among women worldwide, emphasizing the urgent need for accurate diagnostic methods. This research addresses the challenges of early detection by leveraging Convolutional Neural Networks (CNNs) for the classification of Magnetic Resonance Imaging (MRI) data. Using a publicly available Kaggle dataset consisting of 54,676 MRI images categorized into "Normal" and "Cancer" classes, the dataset was split into 80% for training and 20% for validation. A modified CNN architecture was developed, incorporating optimized layers and hyperparameters, such as the ADAM optimizer, a learning rate of 0.0001, and a mini-batch size of 128. The proposed model achieved exceptional performance, with an accuracy of 99.72%, precision and recall of 99.98% and 99.97%, respectively, and an F1-score of 99.98%, as evaluated through a confusion matrix. These results demonstrate the model’s robustness in distinguishing between healthy and cancerous tissues, providing a reliable and efficient diagnostic tool. This study highlights the potential of CNNs to improve diagnostic precision in medical imaging, aiding clinicians and advancing AI applications in healthcare.
Enhancing Clustering Accuracy Using K-Means with Seeds Optimization Mahiruna, Adiyah; Ngatimin, Ngatimin; Destriana, Rachmat; Rachmawanto, Eko Hari; Yuliansyah, Herman; Hidayat, Muhammad Taufiq
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10458

Abstract

In this study, the development of the Mean-based method proposed by Goyal and Kumar will be carried out by changing the initial cluster center determination step, which was originally based on the origin point O (0,0), to be replaced with the arithmetic mean. To assess the performance of the proposed method, it will be compared with the Global K-means method and the Mean-based K-means method. In this study, the performance of these methods will be measured using the Davies-Bouldin Index, and the significance of the proposed method will be measured using the Friedman Test. This study proposes a method of Improving K-Means Performance through Initial Center Optimization based on Second Global Average for Clustering Osteoporosis Diagnosis of lifestyle factors. Evaluation of K-Means performance through Initial Center Optimization based on Second Global Average with DBI measurements. The targeted experimental results of this study include improving the performance of K-means optimized through the initial center based on Second Global Average. From the results of nine experiments with the number of clusters [2,3,4,5,6], it can be seen that the method proposed in this study has the same superior performance compared to the Mean Based method and compared to the Global K-means method.
Co-Authors ALYA MASITHA Arya Yuda Ega Wardana Aulia, Lathifatul Destriana, Rachmat Eko Hari Rachmawanto Herman Yuliansyah, Herman Hidayat, Muhammad Taufiq Ikhtiyar, Zakaria Bani Istiawan, Deden Maira Cahaya Putra, Bintang Ngatimin NGATIMIN, NGATIMIN Nurul Huda Oleiwi, Ahmed Kareem Prayogi, Sukmono Yogi Rahmat Riansyah Riansyah, Rahmat Robeth Suprayitno, Muhammad Rowiyani Rowiyani, Rowiyani Sari, Silvia Novita Soleh, Khoerul Sulistijanti, Wellie