Article Per Year (5 Year)
p-Index From 2020 - 2025
0.562
P-Index
This Author published in this journals
All Journal Engineering, Mathematics and Computer Science Journal (EMACS) Jurnal Sosial dan Teknologi IIJSE
Muhamad Isa, Sani
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Prediction of Sudden Cardiac Death with Feature Selection Using Particle Swarm Optimization David, David; Muhamad Isa, Sani
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 2 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i2.11326

Abstract

The heart, a vital organ responsible for pumping oxygenated blood through blood vessels, is susceptible to disturbances in heart rate that can have adverse effects. According to data from the World Health Organization (WHO) since 2000, this disease has experienced the most significant increase in fatalities, rising from over 2 million to 8.9 million deaths. The prediction of Sudden Cardiac Death (SCD) continues to gain attention as a promising approach to saving millions of lives threatened by the occurrence of the disease. In this study, we propose the utilization of Particle Swarm Optimization (PSO) as a feature selection method to train the Support Vector Machine (SVM) and Logistic Regression. By employing the proposed algorithm, SCD can be predicted up to 30 minutes before the onset with an accuracy of 92.5%, by using PSO and SVM. Features are extracted from Heart Rate Variability (HRV) analysis and Discrete Wavelet Transform (DWT) obtained from ECG records of MIT-BIH normal sinus rhythm database & MIT-BIH Sudden Cardiac Death Holter database dataset. This paper also compares feature selection algorithm of PSO and Analysis of Variance (ANOVA) and found that PSO is better in accuracy, recall, and F1-score.
Perancangan Dasbor yang Secure Scalable dan Reusable dengan Microservices Case Study Di PT. XYZ Shofyan, Shofyan; Muhamad Isa, Sani
Jurnal Sosial Teknologi Vol. 4 No. 6 (2024): Jurnal Sosial dan Teknologi
Publisher : CV. Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jurnalsostech.v4i6.1251

Abstract

Era digital, perusahaan menghadapi tantangan dalam mengembangkan dan mengelola dashboard monitoring produk digital, terutama terkait pengeluaran tinggi dan kurangnya kualitas akibat pembangunan ulang untuk skalabilitas dan keamanan. Solusi yang diusulkan adalah menggunakan arsitektur mikroservice, meskipun kompleksitas dan isu keamanan harus diperhatikan. Penelitian ini fokus pada pengembangan dashboard skalabel, dengan perhatian pada keamanan data dan manajemen pengguna, memberikan panduan praktis bagi organisasi untuk implementasi dashboard yang terstandarisasi, aman, dan efisien dalam arsitektur mikroservice, berpotensi meningkatkan efisiensi operasional dan melindungi data sensitif. Tujuan penelitian ini adalah Penelitian ini menekankan pentingnya keamanan data pribadi yang sensitif. Hasil penelitian ini memberikan wawasan tentang strategi keamanan yang dapat membantu melindungi data pribadi dalam lingkungan microservice. Metode yang digunakan penelitian ini adalah studi literatur, analisis teknis, desain arsitektur, pengembangan, pengujian, sedangkan untuk hasil dari penelitian ini adalah menghasilkan penelitian yang berfokus pada keamanan, skalabilitas, dan kegunaan kembali (reusability) telah membawa manfaat yang signifikan. Kesimpulan yang didapat dari penelitian ini adalah dapat menerapkan prinsip-prinsip keamanan OWASP, dasbor dapat dijamin keamanannya terhadap berbagai serangan yang umum terjadi. Penggunaan arsitektur microservices memungkinkan dasbor untuk menjadi lebih skalabel, memungkinkan penyesuaian dengan beban kerja yang berubah-ubah tanpa mengorbankan performa. Selain itu, penerapan framework komponen backend dan frontend yang dapat digunakan kembali telah meningkatkan efisiensi pengembangan dan kualitas kode secara keseluruhan.
Application of Service-Oriented Architecture with Middleware at Bank XYZ to Implement the PDAM Payment Halim, Abd.; Muhamad Isa, Sani
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 1 (2024): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v7i1.4683

Abstract

This research presents a significant innovation in the era of digitalization, where Bank XYZ implements service-oriented architecture (SOA) using middleware to offer the PDAM (Regional Water Company) payment. The objective of this research is to enhance the efficiency of the payment process and provide better services to PDAM customers. The proposed method for implementing SOA is SOMA (Service Oriented Modelling Architecture), which serves as the foundation for optimizing service integration. Through requirement analysis, system design, implementation, and testing, this research ensures the functionality and reliability of the implemented payment system. The research results indicate that the implementation of SOA with middleware using the SOMA method has successfully improved the efficiency and quality of the PDAM payment services at Bank XYZ. This method represents the latest solution for complex systems, enabling PDAM customers to experience a more efficient and responsive payment process. This research makes a valuable contribution to improving the payment process and may serve as an inspiration for other banks in this digitalization era.
Co-Authors A Halim David David Shofyan, Shofyan