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Menampilkan 1–10 dari 13 artikel
A CIA-based Sustainable Security Risk Mitigation Model for E-Certificate Systems
Suharsono, Teguh Nurhadi
; Choi , John
; Agusiady , Raden Ricky
; Saepudin, Didin
; Sukadwilinda
; Purwanto, Heri
; Savitri , Peti
; Munastha, Ketut Abimanyu
E-certificates are increasingly adopted across sectors, yet existing studies have not developed an integrated risk mitigation model that combines CIA-based sustainable security with operational and stakeholder perspectives. Current frameworks primarily address isolated technical risks or focus on general PKI security, leaving a gap in holistic modeling tailored to end-to-end e-certificate implementation. This study addresses this gap by proposing a Sustainable Security Risk Mitigation Model for...
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Hybrid XGBoost-LSTM Framework for Accurate SOC, SOH, DOD and Internal Resistance Estimation in Li-ion Cells
Accurate estimation of State of Charge (SOC), State of Health (SOH), Depth of Discharge (DOD), and internal resistance is critical for Battery Management Systems (BMS) in electric vehicles and energy storage. Conventional methods fail to capture the nonlinear and temporal dynamics of lithium-ion cells, while existing machine learning approaches lack systematic benchmarking for embedded deployment. This study evaluates three hybrid models XGBoost-LSTM, XGBoost-SVR, and Linear Regression-Random Fo...
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Multimodal Deep Learning for Pneumonia Detection Using Wearable Sensors: Toward an Edge-Cloud Framework
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in resource-limited settings and among elderly populations, where timely diagnosis and continuous monitoring are often constrained by limited clinical infrastructure. This study presents an edge–cloud–integrated framework for early pneumonia risk monitoring, leveraging multimodal wearable sensors and deep learning to support continuous short-duration monitoring. The proposed system is designed to operate in near...
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Cultural Preservation Strategy Through Tourism : A Case Study of the Surakarta Palace
An International Journal Tourism and Community Review
Vol 2
, No 2
(2025)
This research explores cultural preservation strategies through the development of the tourism sector, using the Surakarta Palace as a case study. The Surakarta Palace, a cultural heritage site in Central Java with significant historical and cultural value, plays a vital role in preserving Javanese traditions while contributing to regional tourism growth. This study adopts a descriptive qualitative method with data collected through observation, interviews, and documentation. The findings reveal...
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Bioplastic Synthesis based on Modified Heat Moisture Treatment (HMT) Sago Starch (Metroxylon Sp) and its Application as Powdered Coffee Packaging
Journal of Food and Agricultural Product
Vol 5
, No 1
(2025)
The physical, mechanical and degradability properties of bioplastics made from natural and Heat Moisture Treatment (HMT) modified sago starch and their application as packaging for ground coffee were studied. HMT modification increased the amylose content by 4% and decreased the expandability by 7.16%. HMT-modified starch can also reduce the hydrophilicity of bioplastics as indicated by a decrease in WVTR value by 10% and solubility by 59%. The results also showed that bioplastic from natural an...
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Pengaruh Tridharma Perguruan Tinggi terhadap Kinerja Dosen Milenial di Perguruan Tinggi Jakarta
Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik)
Vol 3
, No 4
(2025)
This study aims to analyze the influence of tridharma perguruan tinggi on the performance of millennial lecturers. A quantitative approach was employed using a survey method involving 385 millennial lecturers from 30 universities under LLDIKTI Region III Jakarta, selected through cluster random sampling. Data were collected using a structured questionnaire that had undergone validity and reliability testing. Data analysis was conducted using Partial Least Squares - Structural Equation Modeling (...
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Posthumanist Technologies in Business: AI and Cloud Computing for Global Optimization and Ethical Challenges
Rodriguez Barboza, Jhonny Richard
; Oscar David Carreño-Flores
; Luis Miguel Davila-Zamora
; Hans Manuel Jalixto-Erazo
; Miguel Alfonso Oré de los Santos
; Orlando John Cruces-Torres
; Ricardo Edmundo Ruiz-Villavicencio
; Danny Villegas-Rivas
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 6
, No 4
(2024)
. This study explores the integration of artificial intelligence (AI) and cloud computing within posthumanist technologies, focusing on their impact on business optimization and information security. A systematic review of 40 studies across sectors such as banking and retail highlights the benefits of AI in automating tasks and enhancing decision-making, while cloud computing provides flexibility and scalability. However, risks like data privacy issues, algorithmic bias, and cybersecurity vulner...
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1 Sitasi
Additive Manufacturing Technology in the Furniture Industry: Future Outlook for Developing Countries
Advance Sustainable Science, Engineering and Technology (ASSET)
Vol 6
, No 3
(2024)
For the past few years, the adoption of 3D printing technology has benefited various manufacturing industries, including the furniture making industry. However, this adoption has been greatly seen in industrialized countries and lacking in developing countries. Therefore, to understand fully the capability of 3D printing and its benefits, this paper review discusses recent applications of 3D printing in the furniture industry and assesses the potential it can bring for developing countries’ furn...
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4 Sitasi
Transforming Indonesian Law: Paving the Way for Smart City Development
AMNESTI : Jurnal Hukum
Vol 6
, No 1
(2024)
In the current digital revolution, the Internet of Things (IoT) plays a pivotal role as a vast network connecting every aspect of daily life. Within this context, the concept of Smart City emerges, where the potential of IoT is harnessed to integrate with urban environmental aspects, creating an intelligent and harmonious ecosystem. However, a notable drawback in this significant innovation is the absence of comprehensive positive laws capable of encompassing all aspects of Smart City in Indones...
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UNMASKING FRAUDSTERS: Ensemble Features Selection to Enhance Random Forest Fraud Detection
Akazue, Maureen Ifeanyi
; Debekeme, Irene Alamarefa
; Edje, Abel Efe
; Asuai, Clive
; Osame, Ufuoma John
Journal of Computing Theories and Applications
Vol 1
, No 2
(2023)
Fraud detection is used in various industries, including banking institutes, finance, insurance, government agencies, etc. Recent increases in the number of fraud attempts make fraud detection crucial for safeguarding financial information that is confidential or personal. Many types of fraud problems exist, including card-not-present fraud, fake Marchant, counterfeit checks, stolen credit cards, and others. An ensemble feature selection technique based on Recursive feature elimination (RFE), In...
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38 Sitasi