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Menampilkan 1–8 dari 8 artikel
Integrating Fully Homomorphic Encryption and Zero-Knowledge Proofs for Efficient Verifiable Computation
Journal of Computing Theories and Applications
Vol 3
, No 3
(2025)
Fully Homomorphic Encryption (FHE) enables computation on encrypted data with end-to-end confidentiality; however, its practical adoption remains limited by substantial computational costs, including long encryption and decryption times, high memory consumption, and operational latency. Zero-Knowledge Proofs (ZKPs) complement FHE by enabling correctness verification without revealing sensitive information, although they do not support encrypted computation independently. This study integrates bo...
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Integrating Quantum, Deep, and Classic Features with Attention-Guided AdaBoost for Medical Risk Prediction
Kusuma, Muh Galuh Surya Putra
; Setiadi, De Rosal Ignatius Moses
; Herowati, Wise
; Sutojo, T.
; Adi, Prajanto Wahyu
; Dutta, Pushan Kumar
; Nguyen, Minh T.
Journal of Computing Theories and Applications
Vol 3
, No 2
(2025)
Chronic diseases such as chronic kidney disease (CKD), diabetes, and heart disease remain major causes of mortality worldwide, highlighting the need for accurate and interpretable diagnostic models. However, conventional machine learning methods often face challenges of limited generalization, feature redundancy, and class imbalance in medical datasets. This study proposes an integrated classification framework that unifies three complementary feature paradigms: classical tabular attributes, dee...
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A Hybrid Federated-Edge Learning Framework with Dynamic Model Pruning for Real-Time Anomaly Detection in Smart Manufacturing Networks
Journal of Information Technology and Computer Science
Vol 1
, No 3
(2025)
The rapid advancement of intelligent systems has accelerated the adoption of data-driven solutions across diverse industries, creating an increasing need for models that are both efficient and privacy-preserving. While traditional centralized machine learning approaches offer strong predictive capabilities, they often struggle with challenges related to data privacy, network latency, and computational inefficiency-especially in distributed environments with heterogeneous devices. To address thes...
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Budaya Tradisional Tarian Lahbako Jember Sebagai Upaya Pelestarian Sekaligus Pengenalan Kepada Generasi Muda
Imajinasi : Jurnal Ilmu Pengetahuan, Seni, dan Teknologi
Vol 1
, No 2
(2024)
This research will discuss the community's efforts in maintaining the heritage of the ancestors given, namely the Lahbako dance. Lahbako dance is a typical Jember dance, where this dance exists to show a series of tobacco processing from planting to packaging tobacco. This arian can be said to be a tradition that is carried out every time tobacco planting and has become one of the icons of the city of Jember. It is well known that technological development has been increasingly rapid, and...
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Optimization Of Big Data Processing Using Distributed Computing In Cloud Environments
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
The growth of big data has driven the need for efficient data processing methods, especially in cloud computing environments. This study evaluates distributed computing frameworks like Apache Hadoop and Apache Spark for optimizing big data processing. By analyzing different configurations, we demonstrate how distributed systems can significantly reduce processing time and improve resource utilization, making them ideal for handling complex datasets in cloud environments.
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SentiGEN: Synthetic Data Generator for Sentiment Analysis
Journal of Computing Theories and Applications
Vol 1
, No 4
(2024)
Obtaining high-quality, diverse, accurate datasets for sentiment analysis has always been a significant challenge. Traditional approaches include annotators, which may introduce bias to datasets and are also time-consuming and expensive. These types of datasets may also not represent the variety needed to train robust and generalizable sentiment analysis models. This study introduces a novel combination of techniques to approach the problem with a novel solution. The proposed system, SentiGEN in...
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Analisis Mengenai Dampak Lingkungan Pada Pembangunan Jalan Lingkar Utara Lamongan
Alfina Jana Vian Duri
; Devalesio Kumara Wardhana
; Mohamad Rahan Ardiansyah
; Yohanes Godman Ora Etlatius Woda Sidi
; Dika Ayu Safitri
Venus: Jurnal Publikasi Rumpun Ilmu Teknik
Vol 2
, No 2
(2024)
Every development activity carried out will definitely have an impact on the environment, both positive and negative impacts. The construction of the Lamongan northern ring road is also inseparable from the environmental impacts it causes. Therefore, it is very important to pay attention to how to carry out this development in a way that produces maximum benefits for society while causing minimal negative impacts on the environment. One way to reduce the negative impact of development on the env...
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Mental Health and its Relationship With Social Determinants Of Health Among Immigrant Populations
International Journal of Public Health
Vol 1
, No 1
(2024)
This article explores the relationship between mental health outcomes and social determinants of health among immigrant populations. By analyzing survey data, the research identifies key factors such as socioeconomic status, access to healthcare, and social support that influence mental health. The findings suggest that addressing social determinants is essential for improving mental health outcomes and providing effective support services for immigrants.
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