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Menampilkan 1–3 dari 3 artikel
Comparative Evaluation of Functional, Object Oriented, and Declarative Programming Paradigms for Scalability and Maintainability in Distributed Data Processing Applications
Simon Simarmata
; Panser Karo karo
Programming and Algorithm Fundamentals
Vol 1
, No 1
(2026)
This study compares the scalability and maintainability of three prominent programming paradigms-functional programming (FP), object-oriented programming (OOP), and declarative programming (DP)-in the context of distributed data processing systems. The research aims to evaluate how each paradigm performs under increased data volume and its ability to handle complex operations, while also assessing the ease of maintenance through code readability, modularity, and the flexibility of updating and d...
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Design of an Edge Computing Based Industrial Internet of Things Architecture for Real Time Predictive Maintenance in Advanced Manufacturing Systems
Simon Simarmata
; Panser Karo-Karo
; Budi Artono
; Muhammad Akbar Hariyono
; Ardy Wicaksono
; Antoni Pribadi
International Journal of Mechanical, Industrial and Control Systems Engineering
Vol 2
, No 4
(2025)
Background: The increasing complexity of industrial production systems requires machine condition monitoring solutions that are capable of operating in real time with high accuracy and responsiveness to support predictive maintenance strategies. Conventional cloud based monitoring systems often experience limitations such as high latency and dependence on stable network connectivity, which can delay decision making processes in critical industrial operations. Objective: This study aims to design...
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Design and Evaluation of Federated Deep Learning Framework for Privacy Preserving Healthcare Data Analytics Across Heterogeneous IoT Networks
Simon Simarmata
; Panser karo-karo
; Rino Ferdian Surakusumah
; Ahmad Budi Trisnawan
; Suyahman Suyahman
; Bentar Priyopradono
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
The rapid advancement of deep learning technologies has significantly transformed healthcare analytics, particularly in medical data prediction and classification. This study proposes a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM) framework for multi-modal healthcare data analysis, integrating medical imaging, structured electronic health records (EHRs), and IoT-generated time-series physiological signals. The proposed architecture combines spatial feature extraction thr...
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