cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Heri Nurdiyanto
Contact Email
jurnal.ijasca@gmail.com
Phone
+6285766661199
Journal Mail Official
jurnal.ijasca@gmail.com
Editorial Address
Lucky Arya Residence 2 No. 18 Jalan HOS. Cokroaminoto Kab. Pringsewu 35373
Location
Kab. pringsewu,
Lampung
INDONESIA
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
 1 
Search results for , issue "Vol. 5 No. 1 (2026): March 2026" : 6 Documents clear
Performance Analysis of Quicksort Algorithm: An Experimental Study of Its variants Dr shorman
International Journal of Advanced Science and Computer Applications Vol. 5 No. 1 (2026): March 2026
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v5i1.80

Abstract

The Quicksort algorithm is often the best practice choice for sorting due to its remarkable efficiency on average cases, small constant factors hidden in the θ(n log n) notation, and its in-place sorting nature. This paper provides a comprehensive study and empirical results of the Quicksort algorithm and its variants. The study encompasses all Quicksort variants from 1961 to the present. Additionally, the paper compares the performance of different versions of Quicksort in terms of running time on integer arrays that are sorted, reversed, and randomly generated. Our work will be invaluable to anyone interested in studying and understanding the Quicksort algorithm and its various versions.
Critical Success Factors of Digital Transformation in the Higher Education Sector Asma Aleidi
International Journal of Advanced Science and Computer Applications Vol. 5 No. 1 (2026): March 2026
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v5i1.84

Abstract

Digital transformation (DT) has a significant impact on higher education institutions (HEIs), which is directly related to the development and performance improvement. There is, however, lack of understanding of the critical success factors of digital transformation in HEIs. Based on a review of the related literature, the study identified the critical success factors of digital transformation including digital literacy as central to DT process. This identification led to the development of the initial conceptual framework. Such findings can help to develop appropriate strategies and policies for better implementation of digital transformation programs for improving HEIs (managers, academics, and staff) in their DT.
NEW INTEGRAL TRANSFORM AND SOME OF ITS RELATIONS AND APPLICATIONS Ahmed Mohamed Abdel Abdallah
International Journal of Advanced Science and Computer Applications Vol. 5 No. 1 (2026): March 2026
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v5i1.85

Abstract

In this manuscript, we introduce a new integral transform calledA. M. Abdallah transform which is a generalization of the Jafari and polynomialintegral transform for solving differential, partial and integral equations. Theproposed integral transform is applied to show high accuracy, efficiency andsimplicity.
SOLAR POWER INTEGRATED GREEN CAMPUS FRAMEWORK FOR ELECTRIC VEHICLE CHARGING INFRASTRUCTURE V. Sri Priya; S.Brindha
International Journal of Advanced Science and Computer Applications Vol. 5 No. 1 (2026): March 2026
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v5i1.87

Abstract

Global warming presents a serious threat to the environment and human livelihoods, with the residential building and transportation sectors being major contributors to greenhouse gas emissions. Electric vehicles (EVs) have gained prominence as a sustainable alternative to traditional fossil fuel-powered vehicles. The success of EVs hinges on efficient charging infrastructure. This research focuses on transportation pollution and greenhouse gas emissions, emphasizing the role of EVs. The study explores the importance of Electric Vehicle Charging Station (EVCS) location selection and introduces the concept of a Green Campus (GC) approach to enhance sustainability. As the world phases out carbon-producing vehicles like trains and buses, electrified transportation offers a greener alternative. However, to support the growing adoption of electric vehicles, charging infrastructure must expand and become more seamless. Some entities are exploring solar panels to power EVs, reducing their carbon footprint. The study proposes an EVSC-GC service architecture that aims to minimize carbon dioxide emissions, reduce electricity costs, and enhance charging efficiency. It leverages telematics, digital systems, and roadside cameras to optimize fuel consumption. Additionally, electronic wallets facilitate convenient payment for charging costs. This suggested EVSC-GC model improves charging demand, charging time, time distribution, and traveling velocity compared to existing methods, making electric mobility more sustainable and efficient.
Examining Blockchain Platforms: Finding the Perfect Fit for Various Topics Adil El Mane; Younes Chihab
International Journal of Advanced Science and Computer Applications Vol. 5 No. 1 (2026): March 2026
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v5i1.89

Abstract

This research compares some of the most well-liked Blockchain platforms. Depending on the orientation and the target domain, it greatly varies from one to the next. To offer readers a thorough grasp of the advantages and disadvantages of each platform, essential elements, including scalability, security, interoperability, and administration, are explored. The researchers who want to investigate the best user interface for developing and generating their Blockchain architecture quickly, analysing the nodes, saving transactions, and spreading data to all network members will benefit from comparisons between Blockchain platforms before and after. This paper will assist researchers in learning more about Blockchain platforms, their configuration/installation difficulty, and other details like the programming languages used in the structure, the description, and the outcome of a medium to expert IT researcher and the challenges that surpass him during the installation phase. Researchers will value this concept since it will save them money and time.
Developing Semantic Textual Similarity for Guragigna Language Using Deep Learning Approach Getnet Degemu
International Journal of Advanced Science and Computer Applications Vol. 5 No. 1 (2026): March 2026
Publisher : Utan Kayu Publishins

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ijasca.v4i2.106

Abstract

Semantic Similarity is one of the highest levels of NLP. STS has significant advantages in NLP applications like information retrieval, information extraction, text summarization, data mining, machine translation, and other tasks. This research aims to present a deep learning approach for capturing semantic textual similarity (STS) in the Guragigna. The methodology involves collecting a Guragigna language corpus and preprocessing the text data and text representation is done using the Universal Sentence Encoder (USE), along with word embedding techniques including Word2Vec and GloVe and mean Square Error (MSE) is used to measure the performance. In the experimentation phase, models like LSTM, Bidirectional RNN, GRU, and Stacked RNN are trained and evaluated using different embedding techniques. The results demonstrate the efficacy of the developed models in capturing semantic textual similarity in the Guragigna language. Across different embedding techniques, including Word2Vec, GloVe, and USE, the Bidirectional RNN model with USE embedding achieves the lowest MSE of 0.0950 and the highest accuracy of 0.9244. GloVe and Word2Vec embedding also show competitive performance with slightly higher MSE and lower accuracy. The Universal Sentence Encoder consistently emerges as the top-performing embedding across all RNN architectures. The research results demonstrate the effectiveness of LSTM, GRU, Bi RNN, and Stacked RNN models in measuring semantic textual similarity in the Guragigna language.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2026 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 1 (2026): March 2026 Vol. 4 No. 2 (2025): September 2025 Vol. 4 No. 1 (2025): March 2025 Vol. 3 No. 2 (2024): September 2024 Vol. 3 No. 1 (2024): March 2024 Vol. 2 No. 2: September 2023 Vol. 2 No. 1: March 2023 Vol. 1 No. 2: September 2022 Vol. 1 No. 1: March 2022