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11 articles for “Muhammad Faisal”

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Review ArticleOpen accessIn the author namesBibliometric Analysis of Missing Value Imputation (MVI) Research Using Python and VOSviewer: Trends and Future DirectionsSamsul Arifin, Muhammad Faisal, Edwin Kristianto Sijabat et al.Incomplete data is a pervasive issue in data science, posing significant challenges for statistical analysis and machine learning applications. Missing Value Imputation (MVI) has thus emerged as a critical area of research aimed at mitigating data quality issues and improving decision-making accuracy. This study presents a comprehensive bibliometric analysis of MVI research using Scopus-indexed publications from 2000 to 2024. The … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,968 accessesView PDFCite
Research ArticleOpen accessIn the author namesEnhancing Data Transmission Security through the Modified Hill Cipher and Henon Map Chaos FunctionSamsul Arifin, Kevin Tan, Felix Indra Kurniadi et al.The advancement and sophistication of technology in the present era have resulted in millions of people interacting and sharing data through the internet using various platforms such as email, chat applications, and others. This has led to the dissemination of personal information and data worldwide through the internet, which also poses the possibility of data interception by unauthorized parties. Data … …Journal of Computer Science, Vol. 21, Issue 6 · 28 Jun 2025 · 3,646 accessesView PDFCite
Review ArticleOpen accessIn the author namesBig Data Analytics (BDA) in the Research Landscape: Using Python and VOSviewer for Advanced Bibliometric AnalysisSamsul Arifin, Muhammad Faisal, Monica Mayeni Manurung et al.Big data analytics has become a key element in research and development in various fields. With the ability to analyze large and complex amounts of data, this technology allows researchers to identify patterns, trends, and insights that were not seen before. This article explores how big data analytics is applied in various disciplines, including computer science, engineering, and mathematics. We … …Journal of Computer Science, Vol. 21, Issue 2 · 16 Jan 2025 · 6,593 accessesView PDFCite
Research ArticleOpen accessIn the author namesPrompt-Based Data Augmentation with Large Language Models for Indonesian Gender-Based Hate Speech DetectionMuhammad Amien Ibrahim, Faisal, Zefanya Delvin Sulistiya, Tora Sangputra Yopie WinartoThe increasing amount of content on social media content makes the use of automatic moderation crucial for preserving a healthy online community and reducing the spread of offensive and abusive content, such as hate speech based on gender. Developing automated social media moderation using machine learning demands a large and balanced dataset. However, difficulties such as data scarcity and class … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,886 accessesView PDFCite
Research ArticleOpen accessIn the author namesEffect of Cocoa Pulp Level Mixed With Feed Concentrate on Performance and Blood Metabolite Profiles of Dry-Lot Fattening Bali SteersRenny Fatmyah Utamy, Yasuyuki Ishii, Ambo Ako et al.Aim of this study is to evaluate the utilization of cocoa pulp as an alternative feedstuff source for the performance and blood metabolite profiles of dry-lot fattening Bali steers. Nine fattening Bali steers were randomly assigned to experimental diets, composed of three levels of cocoa pulp of 0, 5 and 10% with reducing levels of milled corn composition at 20, … …OnLine Journal of Biological Sciences, Vol. 21, Issue 4 · 30 Nov 2021 · 6,753 accessesView PDFCite
Review ArticleOpen accessIn the author namesOrganizing Classification of Application Logic Attacks in Component-based E-Commerce SystemsFaisal Nabi, Jianming Yong, Xiaohui Tao et al.This research paper addresses the topic of application logic attack taxonomy that is due to unclear and incorrect implementation in component-based applications. The issue addresses the detection and classification of two separate types of vulnerabilities in component-based applications. The paper completes this aim through organising the classification of each attack and then proposes the classification of logical vulnerabilities and discusses … …Journal of Computer Science, Vol. 17, Issue 11 · 14 Nov 2021 · 6,615 accessesView PDFCite
Review ArticleOpen accessIn the author namesA Survey of Methods for Managing the Classification and Solution of Data Imbalance ProblemKhan Md. Hasib, Md. Sadiq Iqbal, Faisal Muhammad Shah et al.The problem of class imbalance is extensive for focusing on numerous applications in the real world. In such a situation, nearly all of the examples are labeled as one class called majority class, while far fewer examples are labeled as the other class usually, the more important class is called minority. Over the last few years, several types of research … …Journal of Computer Science, Vol. 16, Issue 11 · 13 Nov 2020 · 10,129 accessesView PDFCite
Research ArticleOpen accessIn the author namesA New Hybrid AHP-TOPSIS Method for Ranking Human Capital Indicators by Normalized Decision MatrixAbdul Kadar Muhammad Masum, A.N.M. Rezaul Karim, Faisal Bin Al Abid et al.Human Capital or HC plays a significant role in the field of economic growth. Advancement on human capital and knowledge-based economy are of core importance for developing countries. Active representatives of capital accumulation are the people and utilizing natural resources for contributing to the socio-economic growth of the country. Evaluation of HC helps organizations to concern about their present position … …Journal of Computer Science, Vol. 15, Issue 12 · 10 Dec 2019 · 8,143 accessesView PDFCite
Research ArticleOpen accessIn the author namesGene Selection and Classification in Microarray Datasets using a Hybrid Approach of PCC-BPSO/GA with Multi ClassifiersShilan S. Hameed, Fahmi F. Muhammad, Rohayanti Hassan, Faisal SaeedIn this study, a three-phase hybrid approach is proposed for the selection and classification of high dimensional microarray data. The method uses Pearson’s Correlation Coefficient (PCC) in combination with Binary Particle Swarm Optimization (BPSO) or Genetic Algorithm (GA) along with various classifiers, thereby forming a PCC-BPSO/GA-multi classifiers approach. As such, five various classifiers are employed in the final stage of … …Journal of Computer Science, Vol. 14, Issue 6 · 26 Jun 2018 · 9,360 accessesView PDFCite
Research ArticleOpen accessIn the author namesOptimization of Biodiesel Production from Spent Palm Cooking Oil Using Fractional Factorial Design Combined with the Response Surface MethodologyS.M. Zakir Hossain, Nahid Sultana, Muhammad Faisal Irfan et al.Fractional Factorial Design (FFD) of the experiments combined with the response surface methodology was used to determine the optimum conditions for the production of biodiesel from Used Cooking Oil (UCO) in a batch reactor. Spent palm olein cooking oil was used as a raw material for biodiesel production as it is commonly used in most of the restaurants in Bahrain. … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 22 Nov 2016 · 8,446 accessesView PDFCite