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Heri Nurdiyanto
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International Journal of Advanced Science and Computer Applications
Published by UK Institute
ISSN : 28097599     EISSN : 28097467     DOI : https://doi.org/10.47679/ijasca
Core Subject : Science, Agriculture, Social, Engineering,
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering
International Journal of Advanced Science and Computer Applications (IJASCA) is a peer-reviewed open-access journal. The journal invites scientists and engineers throughout the world to exchange and disseminate theoretical and practice-oriented the whole spectrum of Advanced Science and Computer Applications. Submitted papers must be written in English for an initial review stage by editors and further review process by a minimum of two international reviewers. Accepted papers will be freely accessed in this website
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 6 Documents
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Search results for , issue "Vol. 3 No. 2 (2024): September 2024" : 6 Documents clear
IoT-based intelligent system For Alzheimer's Disease Detection & Monitoring Mohamed Riad
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i1.39

Abstract

This research is based on two areas related to Alzheimer's disease, the first is the early detection and diagnosis of Alzheimer's disease using deep learning techniques and its various algorithms, and the second relates to how to monitor and follow up on Alzheimer's disease using the Internet of Things (IOT).  In this paper, a new diagnosis based on deep machine learning and monitoring of diseases similar to Alzheimer's is proposed. Diagnosis of Alzheimer's-like diseases is achieved through deep learning magnetic resonance imaging (MRI) analysis followed by an activity tracking framework to monitor people's activities in daily life using wearable inertial sensors. Activity monitoring provides a framework for assistance in activities of daily living and assessment of patient deterioration based on activity level. The results of Alzheimer's diagnosis show an improvement of up to 86.34% with respect to current known techniques. Furthermore, greater than 95% accuracy was achieved for classifying activities of daily living, which is very encouraging in terms of looking at the activity profile of the subject.
Utilizing a pseudo-random Linear Congruential Generator (LCG) S-Box for encoding color images through genetic crossover ABDELLATIF JARJAR
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i2.41

Abstract

This article introduces a novel algorithm crafted for encrypting color images. The algorithm leverages chaotic principles and harnesses fresh substitution tables derived from independent linear congruence generators. These generators are dynamically sized based on pseudo-random vectors used in this technology. The proposed method initiates with the original image, vectorization, employing selected chaotic maps. The primary goal revolves around implementing a genetic operator tailored for image encryption, who integrates an enhanced Vigenère technique, incorporating novel confusion and diffusion functions derived from the previously established substitution tables. To gauge the effectiveness of this approach, numerous color images of varying dimensions and formats underwent testing using our algorithm. The yielded outcomes are both promising and gratifying, furnishing heightened security against recognized attacks.
Client-server Architecture, a Review Geofrey Nyabuto
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i1.48

Abstract

Client-server architecture is a software model through which resources and requests are serviced over a network. The client requests a resource over a network, and the server receives the request, processes it, and responds appropriately. With this model, multiple users can simultaneously access and use resources. This paper provides an overview of the architecture, outlining its characteristics, advantages, disadvantages, different implementations of the architecture as well as the current and future of this architecture.
A Comparative Study of Embedded Learning Models IoT-Based For Real time Mask Detection Mohamed Amine Meddaoui; Mohammed Erritali; françoise Sailhan
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i2.49

Abstract

Following the outbreak of the coronavirus, many preventive measures are implemented to slow down the transmission of the virus. Amongst others, face mask detection is a key innovative technology that allows the identification of the number of individuals wearing face masks. In this regard, this paper provides a comparative study of several machine learning and deep learning algorithms (e.g., SVM, RNN, Mask-RCNN, LSTM, CNN, Auto-Encoder, GAN, U-Net GAN) that support mask detection
Analysis Of Factors Influencing Satisfaction With Using The Mobile Lapor Application In Indonesia Theresa Karyn Wijaya; Nilo Legowo
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i2.51

Abstract

Through this fairly rapid digital growth, the Indonesian government sees opportunities in providing digital-based services through mobile-based applications and websites called LAPOR (People's Online Aspiration and Complaints Service) as a means for the Indonesian people to provide complaints, aspirations or requests for information to agencies. governance is aimed at only 1 platform that integrates with each other. However, unfortunately the mobile application service LAPOR (People's Online Aspiration and Complaints Service) is still unable to satisfy the needs and desires of users in using all the services provided. This is proven by the assessment and comments column of the REPORT mobile application on Playstore and AppStore. Therefore, this research was carried out to determine the factors that influence user satisfaction in using the LAPOR mobile application which was assessed or processed into 5 research variables including Ease of Use, Security Privacy, Attitude Toward Using, System Quality and User Satisfaction
BUSINESS DEVELOPMENT IN THE DIGITAL AGE Helisia Marganaha
International Journal of Advanced Science and Computer Applications Vol. 3 No. 2 (2024): September 2024
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v3i2.55

Abstract

In today's digital era, old systems and processes must be rethought, and new technologies must be implemented to keep businesses competitive and growing. High global competition provides its own demands for business people to continue to improve product innovation by utilising existing technology to face this global challenge. Data collection techniques on business development in the digital era are conducted through online data analysis, literature studies obtained from Google Scholar, online surveys and social media monitoring to collect information on digital businesses. The use of technologies such as big data and sentiment analysis can also help in understanding the changes that occur in the digital business ecosystem. Technology and the internet have opened up new opportunities for businesses to reach a wider market, improve operational efficiency, and accelerate business growth. High global competition puts its own demands on businesses to continuously improve product innovation by utilising existing technology to face these global challenges. Businesses that succeed in the digital era are those that can adapt quickly and remain responsive to changes in the market and technology. Businesses need to adapt to technological developments and utilise them to improve business quality and expand market reach.

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