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652 results for “Quality of Data”
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Review ArticleOpen accessIn the abstractEvaluation of the Factors Contributing to Broiler Meat and Functional Quality a Systemic ReviewHlulani Ndlovu, Karen Munhuweyi, Fhulufhelo Vincent Ramukhithi et al.In South Africa, the poultry sector is industry is essential because it promotes equitable, sustainable economic growth and employment creation. Chicken meat is often preferred for further processing, especially in regions where pork consumption is limited due to cultural or dietary reasons. Literature databases such as Web of Science and Scopus databases while the Google search engine from 1982-2024 were … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 4 · 26 Jan 2026 · 2,334 accessesView PDFCite
Review ArticleOpen accessIn the abstractBibliometric 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 · 1,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Hybrid Machine Learning Approach to Predictive Analytics in Precision Agriculture for Sustainable Crop OptimizationJignesh Kariya, Pankaj MudholkarDriven by data-enabled technologies, precision agriculture is evolving into an innovative way to increase agricultural productivity and sustainability. Conventional agricultural practices face several challenges, such as poor soil quality, inappropriate crop selection, improper resource utilization, and unpredictable climate conditions. To address these limitations, this paper proposes a hybrid machine learning framework for sustainable crop optimization and predictive analysis in precision … …Journal of Computer Science, Vol. 22, Issue 10 · 10 Oct 2026 · 865 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneration Z Health Trends: Data Mining of Sleep and Lifestyle PatternsFrancka Sakti Lee, Johanes Fernandes Andry, Kevin Christianto et al.This study analyzes sleep health and lifestyle data among Generation Z using RapidMiner to identify key issues such as insomnia and stress within this demographic. The research is motivated by the increasing concerns surrounding sleep health and lifestyle choices that significantly impact overall well-being. The primary objective is to identify patterns and correlations in health data to inform targeted interventions … …Journal of Computer Science, Vol. 21, Issue 9 · 19 Oct 2025 · 3,632 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Leucaena leucocephala Protein Supplement on Nutrient Intake, Milk Yield and Quality, Hematology, Metabolites and Economy Efficiency in Etawah Crossbreed GoatsIdat Galih Permana, Salwa Iffat Zahidah Arif, Fajar Rezki Pambudi et al.Legumes, such as Leucaena leucocephala (LL), have high protein and Rumen degradable Protein (RUP) content, so adding legumes to the diet of dairy goats can meet the protein requirements for milk synthesis. However, the addition of LL alone is insufficient to meet the RUP requirement of dairy goats, thus requiring other protein sources. LL Protein Supplement (LLPS) is a feed … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 23 Aug 2025 · 5,345 accessesView PDFCite
Review ArticleOpen accessIn the abstractWeb Scraping for Product Recommendations: A Review of Techniques and ApplicationsAmarinder Kaur, Deepak PrasharA comprehensive method for developing a reliable product recommender system leveraging sophisticated web scraping technologies, machine learning, and natural language processing techniques. The proposed system addresses key challenges in personalized product recommendation, including the difficulty of integrating diverse data from multiple e-commerce platforms, ensuring data quality, and improving recommendation accuracy to enhance user experience. Specifically, this research tackles issues related … …Journal of Computer Science, Vol. 21, Issue 6 · 21 Jun 2025 · 4,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemen Quality and Artificial Insemination Efficacy Using Sericin-Silica-Phosphate-CuO Hydrogel in Thin-tailed SheepEnike Dwi Kusumawati, I Wayan Karyasa, Duran Corebima Aloysius et al.Artificial Insemination (AI) in livestock is increasingly demanded because it greatly affects the productivity and quality of livestock. AI should be supported by advanced material chemistry, especially organic-inorganic hybrid biomaterials. We aimed to produce a prototype of renewable advanced biomaterial technology in the form of Sericin-Silica-Phosphate (SER-SI-PO) hydrogel reinforced with Copper Nanoparticles (CuNPs) and its application in AI. The testing … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 10 Jun 2025 · 3,851 accessesView PDFCite
Review ArticleOpen accessIn the abstractTrends and Innovations in Sterilization of Ready-to-Eat Food Products: Challenges and Future DirectionsDaimon Syukri, Rini, Risa Meutia Fiana et al.The growing demand for Ready-To-Eat (RTE) food products has significantly shaped the industry. RTE foods, including meat, dairy and vegetable-based products, offer convenience and practicality but are highly susceptible to contamination by pathogenic microorganisms. Sterilization, an essential process to eliminate viable pathogenic microorganisms, including spores, has become an important solution to ensure food safety and extend shelf life. Based on … …OnLine Journal of Biological Sciences, Vol. 25, Issue 2 · 20 Mar 2025 · 5,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing User Satisfaction and System Trust through Gamification in E-Commerce PlatformsMontela Livanto, Viany Utami TjhinThe increasing adoption of gamification in e-commerce platforms has significantly transformed how people use, engage, and develop their trust in digital systems. Despite this, few empirical studies have so far investigated the integration of gamification with the DeLong and McLean IS Success Model to develop theories of user satisfaction and system trust in emerging markets. This study examines the influence … …Journal of Computer Science, Vol. 22, Issue 4 · 31 Mar 2026 · 1,570 accessesView PDFCite