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Menampilkan 1–6 dari 6 artikel
Optimizing End to end Machine Learning Pipelines Using Hybrid Edge Cloud Architectures for Real Time Decision making Applications
Asro Asro
; Solihin Solihin
; Irlon Irlon
Big Data Analytics and Data Science
Vol 1
, No 1
(2026)
Real time decision making applications, such as those used in autonomous vehicles, smart cities, and industrial IoT, require fast, scalable, and accurate analytics to ensure timely responses and optimized operations. Traditional cloud-based systems face significant challenges in meeting these requirements due to high latency, limited scalability, and bottlenecks in data processing. This study explores the use of a hybrid Edge Cloud architecture to optimize End to end machine learning (ML) pipeli...
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Executive Decision Support System Implementation Strategies Based on Big Data Analytics to Improve Operational Efficiency and Corporate Governance in Global Digital Enterprises
Asro Asro
; Solihin Solihin
; Irlon Irlon
Integrated System and Management Technology
Vol 1
, No 1
(2026)
This study explores the transformative role of big data-driven Decision Support Systems (DSS) in global digital enterprises, particularly focusing on their impact on operational efficiency and corporate governance. By leveraging big data analytics, DSS offer organizations the tools to process vast amounts of real-time data, enabling executives to make more informed decisions that optimize resources, improve productivity, and reduce operational costs. The research highlights the integration of pr...
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Development of a Digital Twin Based Smart Green Building Energy Management Model Integrating IoT Sensors and Predictive Sustainability Analytics
Asro Asro
; Solihin Solihin
; John Chaidir
; Febri Adi Prasetya
; Tuti Susilawati
; Muhamad Furqon
; Bentar Priyopradono
International Journal of Engineering and Applied Science
Vol 2
, No 2
(2025)
Introduction: The integration of Digital Twin (DT) technology and the Internet of Things (IoT) into Building Energy Management Systems (BEMS) offers a transformative approach to optimizing energy consumption in buildings. This study explores the development of a Digital Twin based BEMS prototype, which leverages real time data collection, predictive analytics, and machine learning to enhance energy efficiency, reduce costs, and support sustainability goals in modern buildings. The research also...
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Faktor yang Memengaruhi Kepatuhan Minum Obat pada Lansia Penderita Hipertensi di Wilayah Kerja Puskesmas Pelawan Sarolangun
Solihin Solihin
; Bambang Budi Raharjo
Jurnal Riset Rumpun Ilmu Kedokteran
Vol 4
, No 1
(2025)
The World Health Organization (WHO) in 2023 estimates that currently the global prevalence of hypertension is 43% of the total world population. Meanwhile, the hypertension report at the Pelawan Health Center in 2021 was 301 cases, in 2022 there were 324 cases, in 2023 there were 397 cases. The purpose of the study was to analyze the factors that influence medication compliance in elderly people with hypertension in the Pelawan Sarolangun Health Center Working Area. The research design used Anal...
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Utilization Of Social Media As A Health Promotion Tool For Hospitals in Indonesia: Literature Review
Cut Roza Asminanda
; Solihin Solihin
; Murni Noviani
; Balqis Nurmauli Damanik
International Journal of Health and Social Behavior
Vol 1
, No 4
(2024)
The use of social media in various aspects including health has increased in recent years. The effectiveness and efficiency of the use of social media in health promotion efforts by hospitals are advantages compared to using conventional media. This study aims to obtain information about the use of social media by hospitals in efforts to organize hospital health promotion from the perspective of: 1) types of social media used, 2) program effectiveness, 3) level of involvement, and 4) efforts to...
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Secure Blockchain Based Framework for Decentralized Identity Management to Mitigate Multi Vector Cyber Attacks in Smart City Services
Asro Asro
; Solihin Solihin
; John Chaidir
; Riza Phahlevi Marwanto
; Rosalina Yani Widiastuti
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
The rapid evolution of smart cities, driven by the integration of technologies such as the Internet of Things (IoT) and blockchain, has brought about significant advancements in urban infrastructure and services. However, these developments also introduce new cybersecurity challenges. Introduction: Smart cities are increasingly vulnerable to cyber threats due to the extensive use of interconnected devices and systems. A key security concern is the management of digital identities, which is essen...
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