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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
Core Subject : Science, Education, Social,
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Social Sciences
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 158 Documents
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The Impact of Learning Dacilities and Learning Discipline for the Result Grade VII SMP Negeri 7 Pematang Siantar Ivan Rivaldo Purba; Anton Luvi Siahaan; Sotarduga Sihombing
International Journal of Integrated Science and Technology Vol. 1 No. 5 (2023): November 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v1i5.783

Abstract

This research aims to find out how learning facilities and discipline influence the learning outcomes of class VII students at SMP Negeri 7 Pematang Siantar. The variables in this research are learning facilities and discipline as independent variables and learning outcomes as dependent variables. This type of research is quantitative descriptive research, with a population of all class VII students at SMP Negeri 7 Pematang Siantar totaling 222 . students and the research sample was 145 students selected using random sampling techniques . Data collection techniques use observation and questionnaires, while data analysis techniques use validity tests, reliability tests, normality tests, multicollinearity tests, heteroscedasticity, multiple linear regression, t tests, f tests, and coefficient of determination tests (R2). ​The results of this research indicate that there is no positive and significant influence between learning facilities on the learning outcomes of class VII students at SMP Negeri 7 Pematang Siantar as seen from the tcountl<ttable or 1.032<1.6556. There is a positive and significant influence between learning discipline on the learning outcomes of class VII students at SMP Negeri 7 Pematang Siantar as seen from the value of tcount>ttable or 3.338> 1.6556 . There is a positive and significant influence between learning facilities and discipline on the learning outcomes of class VII students at SMP Negeri 7 Pematang Siantar as seen from the fcount>ftable value or 6.416>3.06 and the significant value is 0.001<0.05.
The Impact of Self Directed Learning and Digital Literacy for Study Result Pengelolaan Bisnis Ritel Subject Grade XI BDP SMK Negeri 1 Medan 2022/2023 Rotua Angelita Marsaulina Silaen
International Journal of Integrated Science and Technology Vol. 1 No. 5 (2023): November 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v1i5.941

Abstract

This research aims to find out the influence of Self Directed Learning and Digital Literacy on the Learning Results of Class XI BDP SMK Negeri 1 Medan. The population in this study is the entire student class XI BDP SMK State 1 Medan T.A 2022/2023 which totaled 66 students. The sampling technique was carried out using total samplings to obtain a sample of 66 students. In the meantime, for the collection of research data obtained from elevators and lists of student values. The result of the double linear regression test showed the constant value (a) of 4.019, the self-directed learning variable regression coefficient value of 0.623, then the Digital Literation variabel regression factor of 0.362. It was concluded that Self Directed Learning and Digital Literacy had a significant impact on Retail Business Management Lesson Results in Class XI BDP SMK State 1 Medan T.A 2022/2023.
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.
Identification of Religious and Cultural Elements in Arts Learning Materials at Indriyasana Somoitan Kindergarten and Mosque Syuhada Kindergarten Joko Pamungkas; Adi Dieni Maulana Rizka
International Journal of Integrated Science and Technology Vol. 2 No. 1 (2024): January 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i1.1175

Abstract

This research aims to describe religious and cultural elements in art learning materials in kindergarten. Art learning in early childhood is often carried out to develop various aspects of intellectual, social and spiritual maturity. This can be supported by the school's background under a religious foundation so that the learning carried out can be adapted to the existence of a religious environment in each school. The two schools use different cultural and religious elements in art learning at school. The writing of this article is the result of observations, interviews and documentation carried out using qualitative research methods with triangulation of data sources. The data analysis carried out obtained the results that the religious elements that appeared in arts learning in the two kindergartens were religious stories, religious singing, prayer activities with tunes, projects through stories in books, dancing with religious songs, playing angklung with spiritual songs, and playing gamelan with religious songs such as prayers. Meanwhile, the cultural elements applied are the introduction of traditional musical instruments, the introduction of traditional dance, the singing of children's songs, the use of traditional games associated with learning, making batik, and the use of traditional clothing in art learning.
Optimization of Tempe Fermentation With the Addition of a Combination of Yeast and Starch Flour: Effect on Process Speed and Product Freshness Period Cicik Sudaryatiningsih; Yonathan Suryo Pambudi
International Journal of Integrated Science and Technology Vol. 2 No. 1 (2024): January 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i1.1263

Abstract

This research explores the potential for adding a combination of tempeh yeast and starch to the tempeh fermentation process to speed up fermentation and extend the product's freshness period. Through an experimental approach, we investigated the effect of the proportion of yeast and starch on the fermentation speed and shelf life of tempeh. We found that a yeast to starch ratio of 1:2 significantly accelerated the fermentation process, while a ratio of 1:1 was effective in extending the shelf life of tempeh up to 80 hours. Organoleptic tests show positive consumer acceptance of the tempeh variations produced. This research makes a significant contribution to tempeh processing technology, offering practical solutions for the fermented food industry to improve the quality and attractiveness of tempeh products on the market.
A Proposed Healthcare Architecture using Cloud Computing in WSN Environment with a case study Meenakshi Thalor; Yash Gharat
International Journal of Integrated Science and Technology Vol. 2 No. 1 (2024): January 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i1.1288

Abstract

Internet of Things (IoT) considers a future that can connect something/someone/ any service with appropriate information communication technology that it brings innovation in the fields of home, smart home, medical system, article surveillance, and logistics. Because of this inclination, this paper develops a trailblazer: Internet of Things-aware, intelligent architecture, that can be used to monitor and track patients and other related computing devices personnel, and within hospitals premises. In line with the IoT vision, we propose IoT based healthcare architecture dependent on different but complementary technologies, especially the WSN, RFID, and smart mobile, all interacting via a Constrained Application Protocol (CoAP) over low-power wireless personal area network (6LoWPAN) framework. The framework possesses the capability to gather data instantaneously in natural status and in physical conditions of patients after which it gets processed for analysis, thereby providing services to the user. The proposed model also focuses on the security aspect in the network of the healthcare system. The security model proposes IoT based medical services which comprises three security services: protection, detection and reaction services
Malicious URL Detection using Machine Learning Prenalee Nanaware
International Journal of Integrated Science and Technology Vol. 2 No. 1 (2024): January 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i1.1289

Abstract

      One of the most prevalent and least protected security risks in existence today is fraudulent websites and URLs.We offer a method that both uses machine learning characteristics to identify phishing URLs and employs text processing techniques to evaluate text and identify incorrect remarks that are suggestive of phishing assaults.
Facial Recognition Attendance Monitoring System using Deep Learning Techniques M.A Thalor; Omkar S. Gaikwad
International Journal of Integrated Science and Technology Vol. 2 No. 1 (2024): January 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i1.1290

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

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