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International Journal of Integrated Science and Technology
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 30264685     DOI : https://doi.org/10.59890/ijist.v2i2
International Journal of Integrated Science and Technology (IJIST) is a scientific multidisciplinary research journal published by Multitech Publisher. The aim of this journal publication is to disseminate the research results, conceptual thoughts, improved research methodologies, and ideas that have been achieved in any area of research. The accepted articles are going to be published in the monthly publication. Any interested authors are required to submit their manuscripts in English. The mission of the International Journal of Integrated Science and Technology (IJIST) is to promote excellence by providing a venue for academics, students, and practitioners to publish current and significant empirical and conceptual research in the Enginering; health sciences; information technology; computer scince; religion; arts; business; humanities; applied, natural, and social sciences; and other areas that tests, extends, or builds theory. The International Journal of Integrated Science and Technology (IJIST) is a double-blind, peer reviewed, open access journal.
Arjuna Subject : Umum - Umum
Articles 5 Documents
Search results for , issue "Vol. 1 No. 6 (2023): December 2023" : 5 Documents clear
Facial Recognition Attendance Monitoring System using Deep Learning Techniques M. A. Thalor; Omkar S. Gaikwad
International Journal of Integrated Science and Technology Vol. 1 No. 6 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v1i6.685

Abstract

The Facial Recognition Attendance Monitoring System employing Deep Learning Techniques represents a cutting-edge application of artificial intelligence in educational and corporate environments. The implementation of a Facial Recognition System can aid in identifying or verifying a person's identity from a digital image. Accurate attendance records are vital to classroom evaluation. However, manual attendance tracking can result in errors, missed students, or duplicate entries. The adoption of the Face Recognition-based attendance system could help eliminate these shortcomings. This innovative approach involves utilizing a camera to capture input images, detecting faces using algorithms such as Haarcascade, Eigen values, support vector machines, or the Fisher face algorithm, verifying the faces against a database of student profiles, and marking attendance in an Excel sheet. The use of OpenCV, an open-source computer vision library, ensures the efficient functioning of the system.
Assessing the Contribution of Smes Towards the Industrial Development of Ogun State Segun Kehinde; Chinonye Moses; Borishade, Taiye; Kehinde, Oladele; Simon-ilogho, Busola; Obembe, Nifemi; Kemi Kehinde
International Journal of Integrated Science and Technology Vol. 1 No. 6 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v1i6.778

Abstract

This study delves into the vital role played by Small and Medium-sized Enterprises (SMEs) in advancing the industrial development of Ogun State, Nigeria. SMEs are the backbone of the state's economic landscape, contributing significantly to employment, innovation, and economic growth. Through a comprehensive analysis of SMEs in various industries, this research evaluates their impact on industrial development. The assessment encompasses factors such as job creation, local value addition, and technology transfer, shedding light on the multifaceted contributions of SMEs. Additionally, the study explores the challenges faced by these enterprises and the potential for policy interventions to further enhance their role in industrial development. The findings of this research are invaluable for policymakers, business owners, and stakeholders aiming to bolster the industrial sector of Ogun State. By understanding the diverse ways in which SMEs contribute to industrial development, strategic decisions and policies can be formulated to foster sustainable growth and economic prosperity in the state.
Analysis of Factors That Influence the use of Accounting Information by MSMEs Rizqy Aiddha Yuniawati
International Journal of Integrated Science and Technology Vol. 1 No. 6 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v1i6.1100

Abstract

          In general, the performance of small and medium enterprises (MSMEs) varies from year to year. The output growth rate of small and medium enterprises (MSMEs) changes every year. Financial management is one of the problems often faced by MSME. Although the impact of neglecting financial management may not be immediately visible, a potentially growing company can go bankrupt if it does not use proper accounting methods. There are several other challenges faced by MSMEs, such as a lack of accounting or bookkeeping knowledge, not having sufficient funds to hire an accountant or buy an accounting program that makes bookkeeping easier. It is hoped that this research can help micro and small businesses (MSMEs) make decisions about credit applications and tax calculations. MSME Community in Jenggawah, Jember in 2021 are the subject of this research. This research utilizes multiple linear regression analysis. The research results show that accounting knowledge behavior, firm age, and training on accounting have a significant effect on the use of accounting.          In general, the performance of small and medium enterprises (MSMEs) varies from year to year. The output growth rate of small and medium enterprises (MSMEs) changes every year. Financial management is one of the problems often faced by MSME. Although the impact of neglecting financial management may not be immediately visible, a potentially growing company can go bankrupt if it does not use proper accounting methods. There are several other challenges faced by MSMEs, such as a lack of accounting or bookkeeping knowledge, not having sufficient funds to hire an accountant or buy an accounting program that makes bookkeeping easier. It is hoped that this research can help micro and small businesses (MSMEs) make decisions about credit applications and tax calculations. MSME Community in Jenggawah, Jember in 2021 are the subject of this research. This research utilizes multiple linear regression analysis. The research results show that accounting knowledge behavior, firm age, and training on accounting have a significant effect on the use of accounting.
A Comprehensive Analysis of the Effectiveness of AI Platforms in Improving Student Educational Skills Khudai Qul Khaliqyar; Shairagha Katebzadah; Musawer Hakimi
International Journal of Integrated Science and Technology Vol. 1 No. 6 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v1i6.1103

Abstract

This study explores the profound impact of Artificial Intelligence (AI) on education in diverse academic settings, aiming to understand how AI integration influences educational outcomes and student experiences across various faculties and universities. With the objective of providing a comprehensive analysis, the research employs a mixed-methods approach involving 200 participants from Medical, Computer Science, Engineering, Economics, and Education faculties. Surveys gauge AI educational skills, platform utilization, and academic performance impact, complemented by qualitative insights from interviews. Quantitative analysis reveals a significant enhancement in AI educational skills positively affecting academic performance, while qualitative findings enrich overall perceptions across faculties. Varied AI platform utilization and their impact on motivation and critical thinking skills emerge as noteworthy outcomes. The study underscores AI's transformative potential in education, with implications for curriculum design and learning strategies. As AI continues to shape education, understanding its multifaceted impact becomes crucial for educators, institutions, and policymakers, providing valuable insights for optimizing AI in diverse academic disciplines.
Assessment of Levels of Selected Heavy Metals in Borehole Water in Zuru Metropolis, Kebbi State Nigeria Adamu Zubairu Utono; Usman Rufai Fakai; Aliyu Garba; Aliyu Kangiwa Ibrahim; Basiru Muhammad Suru
International Journal of Integrated Science and Technology Vol. 1 No. 6 (2023): December 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v1i6.1125

Abstract

This paper assesses the concentrations of specific heavy metals in borehole water within Zuru Metropolis, Kebbi State. Utilizing rigorous sampling and analytical methods, the study aims to provide insights into the potential health risks associated with heavy metal exposure in the local water supply. Twenty different borehole water samples were assessed for Zn, Pb, Hg, Mn, Cr and Cd levels (mg/l). The results revealed that only few boreholes water samples had concentration levels of heavy metals that are not within WHO recommended levels. While chromium and cadmium levels are below detection limits .The findings contribute to the understanding of water quality in the region, offering valuable information for public health interventions and water management strategies.

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