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All Journal JURNAL MEDIA INFORMATIKA BUDIDARMA JURIKOM (Jurnal Riset Komputer) Journal of Intelligent Decision Support System (IDSS) Jurnal Penelitian, Pendidikan dan Pengajaran: JPPP Bulletin of Computer Science Research Ar-Rasyid: Jurnal Pendidikan Agama Islam sudo Jurnal Teknik Informatika Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Hanif Journal of Information Systems Al'Adzkiya International of Computer Science and Information Technology Journal
Andi Zulherry
Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia
Religion Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Other

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Development of an Android-Based Smart Health Monitoring Device for Heartbeat Detection Zulherry, Andi; Gunawan, Muhammad
Al'adzkiya International of Computer Science and Information Technology (AIoCSIT) Journal Vol 6, No 2 (2025)
Publisher : Al'Adzkiya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55311/aiocsit.v6i2.355

Abstract

This research presents the development of a smart health monitoring system designed to detect and monitor heartbeat patterns using Android-based technology. The increasing prevalence of cardiovascular diseases necessitates accessible and user-friendly monitoring solutions for early detection and continuous health assessment. This study aims to design and implement a portable heartbeat detection device integrated with an Android application, enabling real-time monitoring and data analysis. The system utilizes pulse sensor technology to capture heartbeat signals, which are then processed by a microcontroller and transmitted wirelessly to an Android smartphone via Bluetooth connectivity. The developed application features an intuitive user interface that displays heart rate measurements, stores historical data, and provides alert notifications when abnormal patterns are detected. System testing was conducted to evaluate accuracy, reliability, and user experience across various conditions. Results demonstrate that the device achieves accurate heartbeat detection with minimal deviation from standard medical equipment, offering a practical and cost-effective solution for personal health monitoring. This research contributes to the advancement of mobile health (mHealth) technology, providing individuals with greater autonomy in managing their cardiovascular health while facilitating early intervention opportunities. The system's portability, affordability, and ease of use make it particularly suitable for home-based health monitoring and remote patient care applications.
Detecting Zero-Width Characters Obfuscated in Phishing URLs using the XGBOOST Algorithm Asadel, Ahmad; Zulherry, Andi
Hanif Journal of Information Systems Vol. 3 No. 1 (2025): August Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/hanif.v3i1.56

Abstract

Phishing attacks represent one of the most common and damaging cyber threats, with techniques continuously evolving to become more sophisticated and harder to detect. One of the latest evasion methods of concern is the use of Zero-Width Characters (ZWC)—invisible Unicode Characters inserted into URLs to deceive traditional detection systems and human visual perception. This research aims to develop and evaluate an effective and reliable machine learning model to detect phishing URLs that have been obfuscated using ZWC. The eXtreme Gradient Boosting (XGBoost) algorithm was chosen for its proven superiority in handling complex data and its performance optimization capabilities. This study utilized a public dataset from Kaggle consisting of 11,430 URL samples, which was then modified through a feature engineering process. Specifically, 50% of the phishing URLs were injected with one of five types of ZWC (ZWSP, ZWNJ, ZWJ, RLM, LRM), and a dedicated binary feature was created to flag the presence of these Characters. Initial training revealed signs of minor overfitting. Consequently, a hyperparameter tuning process was conducted by adjusting the max_depth and min_child_weight parameters to create a more robust model. The final model was evaluated on 20% of the test data and demonstrated exceptionally high performance, achieving an Accuracy of 97.24%, Precision of 97.03%, Recall of 97.37%, and an AUC score of 0.9972. The high Recall value is particularly crucial, proving the model's reliability in minimizing the risk of missed threats. This research successfully proves that an XGBoost-based approach with targeted feature engineering can be an effective solution against advanced phishing attacks.
Perancangan Aplikasi Monitoring Kehadiran Pegawai Menggunakan RFID Zulherry, Andi; Sari, Indah Purnama; Basri, Mhd.
sudo Jurnal Teknik Informatika Vol. 4 No. 4 (2025): Edisi Desember
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/sudo.v4i4.1571

Abstract

Kehadiran pegawai merupakan aspek penting dalam manajemen sumber daya manusia yang berpengaruh terhadap produktivitas dan kinerja organisasi. Sistem pencatatan kehadiran manual yang masih digunakan pada banyak instansi memiliki kelemahan seperti rentan terhadap manipulasi data, membutuhkan waktu lama dalam pengolahan, dan tingkat akurasi yang rendah. Penelitian ini bertujuan merancang aplikasi monitoring kehadiran pegawai berbasis teknologi Radio Frequency Identification (RFID) yang dapat meningkatkan efisiensi dan akurasi pencatatan kehadiran. Metode pengembangan sistem menggunakan pendekatan waterfall yang meliputi tahap analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Sistem yang dirancang terdiri dari perangkat keras berupa RFID reader, kartu RFID sebagai identitas pegawai, dan perangkat lunak berbasis web untuk monitoring dan pelaporan. Hasil perancangan menunjukkan bahwa sistem dapat melakukan pencatatan kehadiran secara otomatis, real-time, dan akurat. Data kehadiran tersimpan dalam database yang dapat diakses oleh administrator untuk keperluan monitoring dan pembuatan laporan. Sistem ini diharapkan dapat membantu manajemen dalam pengambilan keputusan terkait kehadiran pegawai dan meningkatkan kedisiplinan pegawai melalui sistem monitoring yang lebih efektif dan transparan.
Co-Authors Amada, Elca Popi Asadel, Ahmad Basri, Mhd. Bisono, Arif Tri Elza Ahmad Raihan Farid Akbar Siregar Ferdy Riza Hayani, Wirda Hevlie Winda Nazry S Indah Purnama Sari Limbong, Isman Efendi Mahardika Abdi Prawira Tanjung Muhammad Gunawan MUHAMMAD HARIS Mulkan Azhari Syahra , Yohanni T S Gunawan Wanayumini Zuli Agustina Gultom