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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 12 Documents
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Search results for , issue "Vol. 2 No. 5 (2024): May 2024" : 12 Documents clear
Assessing the Impact of social media on Youth's Entrepreneurship Development in Afghanistan Barge Gul Khalili; Behnaz Rahimi; Mursal Akrami; Musaka Hejran; Hakimi, Musawer
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1754

Abstract

The study explores the obstacles to entrepreneurship that young Afghans face in the context of the nation's political and socioeconomic conditions. It looks at how important social media is to helping young people overcome these obstacles and become economically independent. Using a mixed-methods approach, it aims to comprehend the viewpoints, experiences, and variables influencing the use of social media among Afghan youth entrepreneurs by combining quantitative surveys and qualitative interviews with 160 participants. The majority of participants (75%) are male, and 62.5% have an economic background. Most of them are in the 25–30 age range. Targeted solutions are critically needed as financial and infrastructural limitations severely hinder entrepreneurial endeavours. Although social media can be used to expand a market and engage customers, perspectives on its effects are divided. The impact of digital literacy and prior entrepreneurial experience on self-assurance in leveraging social media as an entrepreneurial tactic is highlighted by regression analysis. These results highlight the need for customised interventions to improve digital literacy and bridge infrastructure gaps in order to fully utilise social media's potential to support Afghan youth's entrepreneurship. The present study enhances the conversation on young entrepreneurship and social media in developing countries by providing significant perspectives to policymakers, practitioners, and scholars who seek to support entrepreneurial ecosystems in Afghanistan and comparable settings.
Comparative Analysis of Convolutional Neural Network (CNN) Architectures in Classification of Cattle and Pig Rambaks Haryono, Haryono; Rahmad, Cahya; Andoko, Banni Satria
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1793

Abstract

Rambak crackers are one of the food ingredients that have the characteristics of expansion and crispy texture. The general public often faces difficulties in distinguishing between pork and beef rambak crackers that have been processed, so it is important to rely on technology, especially artificial intelligence (AI), to help distinguish between them. This study was conducted to compare the capabilities of several CNN architectures in classifying images of pork and beef rambak crackers. The results of the study showed that the Xception architecture had the highest accuracy rate in classifying pork and beef rambak crackers, with an average accuracy rate of 98.24%.
ICT Integration in Student Learning: Perspectives from a Survey Analysis Siyamoy Ghory; Sayed Hamidullah Hamidi; Mohammad Amir Atee; Quraishi, Tamanna
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1794

Abstract

This study investigates the integration of Information and Communication Technology (ICT) in student learning at Kabul University through a survey-based methodology. The research explores students' perceptions of ICT integration, including its effectiveness, challenges, opportunities, and impact on engagement and academic performance. A sample of 120 students from diverse faculties participated, with representation across two age ranges: 20-25 and 25-30. The survey instrument, administered electronically, assessed various aspects of ICT integration in the learning environment. Following data collection, meticulous analysis of participant responses was conducted, employing statistical techniques such as frequency distributions and percentages. Results revealed diverse perspectives among students regarding the effectiveness of ICT integration and its influence on engagement and academic performance. Figures presented demographic distributions, perceptions of ICT effectiveness, challenges, opportunities, engagement levels, and academic performance influence among participants. The findings contribute valuable insights into the multifaceted nature of ICT integration in student learning at Kabul University, informing educational practices and policies aimed at optimizing technology-enhanced learning environments. This study underscores the importance of considering students' perspectives in the design and implementation of ICT initiatives, emphasizing the need for tailored strategies to address challenges and capitalize on opportunities for effective integration.
Bioactivities of Purple Shamrock (Oxalis Triangularis) Crude Extract and Evaluation of Shamrock Topical Antibacterial Gel Dupra, Krizelle Joy; Aceret, Robert
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1797

Abstract

This study delves into the intricate dynamics of the skin microbiome, focusing on its susceptibility to infection when the skin's protective barrier is compromised. Through a comprehensive examination of wound infections, the research underscores the prevalence of acute wounds and their profound impact on morbidity and mortality rates, particularly in developing nations like the Philippines. Despite adherence to WHO protocols, surgical site infections (SSI) remain alarmingly high, necessitating innovative interventions. Enter topical antibacterial agents, offering targeted therapy with minimal systemic impact. Leveraging the medicinal properties of O. triangularis, the study formulates and evaluates a topical antibacterial gel, unveiling its remarkable efficacy in wound healing and bacterial inhibition. Findings reveal promising results, exhibiting accelerated healing and notable antibacterial activity against E. coli. Moreover, its stability and non-irritant nature further accentuate its potential as a cost-effective solution for wound management. This research heralds a promising paradigm shift in wound care, advocating for the integration of botanical extracts in topical formulations for enhanced therapeutic outcomes.
Increasing the Attraction of Nature-Based Tourism in Senjoyo Salatiga by Embracing a Sustainable Development Framework Paskah Gulo; Palupiningtyas, Dyah
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1824

Abstract

This research seeks to enhance the allure of Senjoyo Salatiga nature-based tourism by employing a sustainable development framework. The study utilizes a qualitative methodology with a case study approach. Data was gathered through a combination of direct observations, in-depth interviews, Focus Group Discussions (FGD), and analysis of relevant documents. The findings reveal that while Senjoyo Salatiga nature-based tourism boasts remarkable potential and appeal, it continues to face numerous obstacles in its growth, including inadequate infrastructure, ineffective management, the necessity for greater community engagement, risks to environmental sustainability, financial and human resource limitations, and rivalry from other tourist destinations. The proposed optimization strategies encompass upgrading eco-friendly infrastructure and support facilities, bolstering collaboration among stakeholders, building local community capacity and participation, creating innovative and sustainable tourism products and packages, implementing conservation and environmental protection principles, and encouraging responsible marketing and promotion. This study's discoveries contribute to the expansion of scientific knowledge in the domain of sustainable tourism and can function as a model for other nature-based tourism destinations in Indonesia. By embracing a sustainable development approach, Senjoyo Salatiga nature-based tourism has the potential to emerge as a paradigm for sustainable nature-based tourism development in Indonesia.
Detect the Activity of Benign and Malignant Breast Cancer Ayu Fitriyani; Muhamad Fatchan; Wahyu Hadikristanto
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1870

Abstract

Breast cancer detection is an important stage for early cancer diagnosis. In this study, a Convolutional Neural Network (CNN) algorithm is used to detect breast cancer. The dataset used consists of MRI scan images of benign and malignant breast cancer, which are processed through breast image cropping and data augmentation. The model was trained using CNN architecture with transfer learning method of VGG-16 model. The results of the model training showed good performance with an accuracy of 62%. These findings show the potential of using CNN and transfer learning in improving early detection of breast cancer.
Valuation of Svm Kernel Performance in Organic and Non-Organic Waste Classification Dahyoung Yenuargo; Muhamad Fatchan; Wahyu Hadikristanto
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1873

Abstract

In an era of increasing concern for environmental sustainability, waste management remains an important global issue. Efficient waste classification, in particular distinguishing between organic and recyclable materials, is essential for reducing environmental impact. Traditional manual classification methods are often error-prone and inefficient. This research evaluates the performance of SVM models with RBF and Polynomial kernels for waste classification, using SqueezeNet for feature extraction. Datasets from Kaggle were preprocessed and augmented to improve model training. The experimental results show that the SVM model with RBF kernel outperforms the Polynomial kernel in classifying organic and recyclable waste, with an accuracy of 97.9% compared to 97.3% for the Polynomial kernel. This finding underscores the importance of kernel selection and parameter tuning in optimising SVM models for non-linear classification tasks. This research contributes to the development of more efficient and accurate waste classification technologies, promoting better waste management practices. Further research is recommended to explore advanced feature extraction methods and expand the scope of classification to cover a wider range of waste categories.
Classification of Drinking Water Potability With Artificial Neural Network Algorithm Darmawan, Indra; Muhammad Fatchan; Andri Firmansyah
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1874

Abstract

Having safe water for consumption is essential for public health in every region. However, water quality is declining in some places, especially to meet human needs for drinking water. There are many efforts to maintain water potability, such as checking to see if there are bacteria or diseases in the water. This research classifies water potability using the Artificial Neural Network method, a technique in the field of machine learning. This research classifies water quality using a python library to analyze data and perform classification. Data is processed through stages such as data cleaning and data division into training and testing. In testing, the data is divided into 20% for testing and 80% for training. The results of the ANN algorithm show 70% accuracy. in conclusion, the ANN model has moderate performance in classifying the feasibility of drinking water. Model improvement is needed to improve accuracy and prediction, including the use of larger and more diverse datasets.
Transformation Strategy: Indonesian National Police in Coordinating Crime in The Digital Era Yustinus Bowo Dwinugroho
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1904

Abstract

The Indonesian National Police (POLRI) has the authority to handle crimes regulated by several laws, including Law no. 2 of 2002 concerning the National Police of the Republic of Indonesia, which is the basis for carrying out their duties in maintaining security and public order, enforcing the law, and providing protection and services to the community. The digital era has brought significant changes in various aspects of life, including security and law enforcement. Advances in information and communication technology not only open up new opportunities but also give rise to complex challenges such as cybercrime. This article analyzes POLRI's strategic transformation in responding to digital crime challenges. Through organizational restructuring, increasing personnel capacity, adopting advanced technology, and collaborating with various stakeholders, POLRI is trying to tackle cybercrime more effectively. This study uses a normative juridical approach and combines various theories to provide insight into the development of law enforcement in the digital era and the strategies implemented by POLRI in dealing with digital crime.
The Important Role of the Indonesian National Police in Maintaining Security Stability and Its Impact on Indonesia's Economic Growth Tony Haryono
International Journal of Integrated Science and Technology Vol. 2 No. 5 (2024): May 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i5.1905

Abstract

Security stability is a critical factor influencing economic growth in Indonesia. The Indonesian National Police (POLRI) plays a vital role in maintaining this stability by enforcing laws, preventing and controlling crime, managing emergencies, and supporting business competition. This paper examines the significant impact of POLRI's efforts on Indonesia's economic growth. Through effective law enforcement and collaboration with regulatory bodies like the Business Competition Supervisory Commission (KPPU), POLRI creates a conducive environment for economic activities by ensuring public safety, fostering investor confidence, and supporting fair business practices. Their multifaceted approach, including community policing and securing major events, enhances tourism and investment, driving national economic development. The paper also discusses challenges such as corruption and resource limitations, recommending continued reforms and inter-agency collaboration to sustain and further enhance economic growth.

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