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All Journal International Journal of Artificial Intelligence Research Knowledge Engineering and Data Science ILKOM Jurnal Ilmiah Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Data and Science Buletin Sistem Informasi dan Teknologi Islam Ilmu Komputer untuk Masyarakat Open Community Service Journal Bulletin of Social Informatics Theory and Application Jurnal Pengabdian Masyarakat Kesehatan Gigi FOKGII
Salim, Yulita
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Mathematics Public Health Social Sciences Other

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Journal : knowledge engineering and data science

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Backpropagation Neural Network with Combination of Activation Functions for Inbound Traffic Prediction Purnawansyah, Purnawansyah; Haviluddin, Haviluddin; Darwis, Herdianti; Azis, Huzain; Salim, Yulita
Knowledge Engineering and Data Science
Publisher : citeus

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Abstract

Predicting network traffic is crucial for preventing congestion and gaining superior quality of network services. This research aims to use backpropagation to predict the inbound level to understand and determine internet usage. The architecture consists of one input layer, two hidden layers, and one output layer. The study compares three activation functions: sigmoid, rectified linear unit (ReLU), and hyperbolic Tangent (tanh). Three learning rates: 0.1, 0.5, and 0.9 represent low, moderate, and high rates, respectively. Based on the result, in terms of a single form of activation function, although sigmoid provides the least RMSE and MSE values, the ReLu function is more superior in learning the high traffic pattern with a learning rate of 0.9. In addition, Re-LU is more powerful to be used in the first order in terms of combination. Hence, combining a high learning rate and pure ReLU, ReLu-sigmoid, or ReLu-Tanh is more suitable and recommended to predict upper traffic utilization.
Optimal Strategy for Handling Unbalanced Medical Datasets: Performance Evaluation of K-NN Algorithm Using Sampling Techniques Salim, Yulita; Utami, Aulia Putri; Manga, Abdul Rachman; Azis, Huzain; Admojo, Fadhila Tangguh
Knowledge Engineering and Data Science
Publisher : citeus

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This study addresses the critical role of medical image classification in enhancing healthcare effectiveness and tackling the challenges of imbalanced medical datasets. It focuses on optimizing classification performance by integrating Canny edge detection for segmentation and Hu-moment feature extraction and applying oversampling and undersampling techniques. Five diverse medical datasets were utilized, covering Alzheimer’s and Parkinson’s diseases, COVID-19, brain tumours, and lung cancer. The K-Nearest Neighbors (K-NN) algorithm was implemented to enhance classification accuracy, aiming to develop a more robust framework for medical image analysis. The evaluation, conducted using cross-validation, demonstrated notable improvements in key metrics. Specifically, oversampling significantly enhanced lung cancer detection accuracy, while undersampling contributed to balanced performance gains in the COVID-19 class. Metrics, including accuracy, precision, recall, and F1-score, provided insights into the model’s effectiveness. These findings highlight the positive impact of data balancing techniques on K-NN performance in imbalanced medical image classification. Continued research is essential to refine these techniques and improve medical diagnostics.
Co-Authors Admojo, Fadhila Tangguh Adnan, Adam Anas, Risnayanti Anizah, Nurul As'ad, Ihwana Aswin, Hafiza Awangga, Narendra Aziz, Huzain Bangsawan, Muhammad Hari Basri, Nur Anisa Darwis, Herdianti Dwiyanti, Sri Ulfa Ericha Apriliyani Erick Irawadi Alwi, Erick Irawadi Fajar AR, Muh. Aqil Febriany, Mila Gaffar, Andi Widya Mufila Haviluddin Haviluddin Hermany, Nurul Inayah Huzain Azis Irawati Irawati Ismail, Wawan jabir, sitti rahmah lilis nurhayati Lutfi Budi Ilmawan, Lutfi Budi Manga, Abdul Rachman Manga’, Abdul Rachman Mardiyyah Hasnawi Mashur, Mulyanul Ilmi Muhammad Arfah Asis Muis, Ismunandar Nanda, As'syahrin Nia Kurniati Nur bahri, Nur Bahri Nur Indah, Nur Nurul A'ayunnisa Pamewa, Kurniaty Purnawansyah Purnawansyah Puspitasari, Yustisia Qurratu'ain, Khayyirah Annisa R, Sirajuddin Rachman Manga, Abdul Raja, Roesman Ridwan Ramdan Satra Ramdaniah, Ramdaniah Rasyid, Reskyanto Setiawan Asri, Nur Aslam Sinusi, Isnan Syafie, Lukman Umalekhoa, Alfi Syahrin Umar, Fitriyani Utami, Aulia Putri