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International Journal of Applied Research and Sustainable Sciences (IJARSS)
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 30260205     DOI : https://doi.org/10.59890/ijarss.v1i2
Core Subject : Religion, Humanities, Science, Education, Engineering,
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Decision Sciences, Operations Research & Management Education
International Journal of Applied Research and Sustainable Sciences (IJARSS) is an international journal published online monthly by the Multitech Publisher. The journal publishes research papers in the fields of social science, natural science, art, humanities, law, health sciences, technology, and related sciences.
Arjuna Subject : Umum - Umum
Articles 102 Documents
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Artificial Intelligence in Stroke Care: Enhancing Diagnostic Accuracy, Personalizing Treatment, and Addressing Implementation Challenges Yahya Abdul Rehman Shah; Qureshi, Sara Mudassir; Hamza Ahmed Qureshi; Saad Ur Rehman Shah; Shiwlani, Ashish; Ahmad, Ahsan
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i10.2575

Abstract

Objective: Stroke remains a leading cause of global disability, and with ageing populations, there is a growing need for advanced medical interventions. This literature review aims to assess how Artificial Intelligence (AI) and Machine Learning (ML) technologies have transformed the diagnosis, treatment, and long-term care of stroke patients. Methods: A comprehensive literature review was conducted using databases such as PubMed, IEEE Xplore, and Scopus, covering articles published from January 2018 to August 2024. The review focused on studies related to the application of AI/ML in stroke diagnosis, treatment, and management, including ethical, technical, and regulatory issues. Results: AI and ML technologies have significantly enhanced stroke diagnosis, primarily through advanced deep learning models that analyze imaging data more accurately and rapidly than traditional methods. These AI-based models have demonstrated high precision in detecting ischemic and hemorrhagic strokes, reducing diagnosis time by up to 50% and markedly improving patient outcomes. Predictive models utilizing big data have consistently surpassed traditional risk assessments in forecasting stroke outcomes and customizing treatments. AI-driven decision-support systems have improved patient selection for thrombolysis and mechanical thrombectomy, optimizing treatment strategies. Conclusion: While AI and ML offer substantial advancements in stroke management, including improved diagnosis, personalized therapy, and prognosis, challenges remain. Issues such as data quality, algorithmic transparency, integration into clinical workflows, algorithmic bias, and patient privacy must be addressed. Further research is needed to overcome these technical, ethical, and regulatory obstacles to fully integrate AI and ML into healthcare systems and enhance stroke management and patient outcomes.
Control and Monitoring System for Lighting Through Timing Based on The Internet of Things Putri, Maharani; Abdullah; Iriani, Juli; M. Syahruddin; Cholish; Guci, Putra Sawaluddin; Sembiring, Eme Aginta Br; Evalina, Noorly
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 9 (2024): September 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i9.2589

Abstract

This study aims to develop and implement a time-based lighting control and monitoring system using the Internet of Things (IoT). In today's digitally connected environment, efficient lighting control is essential to improve user comfort and optimize energy use. The proposed approach leverages light sensors and IoT hardware to automatically adjust lighting levels based on time and user needs. The system is designed to provide users with the ability to control lighting remotely via a mobile application or web interface. In addition, the collected lighting data can be analyzed to understand lighting usage patterns and improve energy efficiency. The research methodology includes system design, hardware and software development, and implementation trials in a real environment. Testing was carried out by varying lighting scenarios and monitoring the system's response to these changes. The results showed that the system was able to optimize room lighting according to user preferences and environmental conditions efficiently. In addition, the remote monitoring and control capabilities provide greater flexibility for users to adjust lighting according to their needs. This study contributes to the field of time-based lighting control by utilizing the advantages of IoT as remote control and monitoring.
Power Usage Monitoring and Overload Protection System for Distribution Transformers M. Syahruddin; Abdullah; Haq, Moh. Zainul; Putri, Maharani; Indah, Sarah Karima; Azhari, Syahdika Kurnia; Fiki, Akbar; Cholish; Roji, Fahrul
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i10.2591

Abstract

Efficient energy manitoring and overload protection on distribution transformers are very much needed. This study aims to develop a power usage management system and overload protection integrated with Internet of Things (IoT) technology, with a specific target to monitor and manage power usage on distribution transformers in real time, as well as provide automatic protection against overload conditions. The methodology used in this study involves the design and implementation of hardware and software that supports wireless communication and data analysis. This system is also equipped with a power reading and protection mechanism that can automatically cut off the electricity flow when an overload detection occurs, in order to prevent damage to the transformer, it is expected that this system can increase the efficiency of power usage management and provide a quick response to overload conditions. The implementation of this system is expected to reduce operational costs and increase the reliability of electricity supply on the distribution network. Based on the tests that have been carried out, it has been proven that the system has worked well in maintaining important variables in the power usage management system and overload protection on the Internet of Things integrated distribution transformer.
Automation System of Water Circulation and Fish Feeding in Tilapia Fish Pond with Solar Panel Source Iriani, Juli; Dharma, Surya; Gunoro; Sitorus, Nobert; Rumahorbo, Priansus Rhein; Ridho; Cholish; Wahyudi
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i10.2592

Abstract

Tilapia cultivation requires good management of water quality and proper feeding to ensure optimal fish growth. One of the main challenges in this process is maintaining the water pH level within ideal limits and providing feed according to the needs of the fish based on their size. In addition, limited access to electricity in some locations makes fish pond management less efficient. This study aims to design an automated water circulation system that is regulated based on the water pH level and automatic feeding according to the needs of the fish, by utilizing solar panels as a power source. This system uses a pH sensor to monitor water conditions in real time and regulate water circulation to maintain ideal pH levels. Feeding is regulated based on the size and number of fish to ensure optimal feed efficiency and fish growth. This system is powered by solar panel energy, so it can operate independently without relying on conventional electricity networks. Test results show that the system is able to maintain water pH stability and automate feeding with high accuracy, while utilizing renewable energy effectively. The use of solar panels not only reduces dependence on electricity, but also reduces operational costs and supports environmental sustainability. This system is expected to increase the efficiency and productivity of tilapia cultivation, especially in areas with limited access to electricity.
Jealousy in Mixed Families: A Psychosocial Analysis of Stepmothers' Violence Against Stepchildren in Pontianak M Zainul Hafizi
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i10.2612

Abstract

This study analyzes jealousy within blended family structures and its impact on violence against stepchildren, focusing on a case in Pontianak. A qualitative case study approach was employed, using data from police reports and relevant podcast interviews. The findings reveal that the stepmother's jealousy, triggered by the husband's unequal attention between biological and stepchildren, led to emotional tension that escalated into physical violence. Social pressures and the inability to manage jealousy exacerbated conflicts within the family. The study highlights the importance of healthy emotional management and social support in preventing domestic violence, particularly within blended families.
Implementation of Posyandu Program in Fulfilling the Rights of Pregnant Women and Toddlers in Cibinong Sub-District, Bogor District, a Case Study in Pondok Rajeg Village Maruapey, Muhammad Husein; Danil, Mahmud; Murni, Endang Sri; Ramadhan, Rahmasari; Pratama, M. Rifa’i Eka
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i10.2636

Abstract

Health issues are fundamental in society. Moreover, after COVID-19, several adjustments were made to strengthen public health. Then the importance of developing quality human resources as a national priority cannot be separated from good nutritional status, especially in nutritionally vulnerable groups such as pregnant women and toddlers. Optimal nutritional conditions for pregnant women are very important because they have the potential to influence the growth and development process of the fetus. Malnutrition in pregnant women can increase the risk of giving birth to babies with low birth weight (LBW) and stunting. Likewise, toddlers as a group who are in a period of rapid growth and development are very vulnerable to malnutrition. Therefore, special attention to pregnant women and toddlers needs to be increased in an effort to improve national nutritional status. This research was conducted to determine the success of the implementation of the Posyandu program in Pondok Rajeg Village, Cibinong District, Bogor Regency in an effort to fulfill the rights of pregnant women and toddlers. The method used is a descriptive qualitative method using George C. Edward III's theory with four dimensions, namely Communication, Resources, Disposition and Bureaucratic Structure. The success of the implementation or implementation of the Posyandu program in Pondokrajeg Village, Cibinong District, Bogor Regency has been good, which can be seen from the results of research with resource persons, supporting documents and reports on improving the health of pregnant women and toddlers in Pondok Rajeg District, Cibinong District, Bogor Regency
China's Investment in Bangladesh: Backdrop of Debt Trap Diplomacy Rahman, Md.Mizanur
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v2i10.2637

Abstract

This research investigates the implications of Chinese investment in Bangladesh, particularly in the context of concerns surrounding debt trap diplomacy. As China extends its Belt and Road Initiative (BRI), Bangladesh has emerged as a significant recipient of Chinese loans and investments, encompassing infrastructure projects such as ports, power plants, and highways. While these investments are poised to bolster Bangladesh's economic development, they also raise concerns about the potential for unsustainable debt levels and the erosion of sovereignty. This study delves into the economic, political, and social ramifications of Chinese investments in Bangladesh. Through a mixed-methods approach combining quantitative analysis of debt sustainability indicators and qualitative assessments from stakeholder interviews, the research examines whether Chinese funding is leading to a debt trap scenario. Preliminary findings suggest that while Chinese investments have accelerated infrastructure development, they have also increased Bangladesh's debt burden and dependency on China. Furthermore, the strategic placement of investments suggests potential geopolitical motivations behind Chinese funding. This research aims to contribute to the broader discourse on the impact of Chinese foreign direct investment in developing countries, offering policy recommendations for Bangladesh to navigate the complexities of foreign financing without compromising its economic sovereignty. The study underscores the necessity for rigorous debt management and transparent investment policies to mitigate the risks associated with large-scale foreign loans.
The Effect of IT Governance on Internal Audit Quality Hussein, Kifah Sami
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 12 (2024): December 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Effective IT management is crucial for an organization's progress, and inefficient management can lead to system inefficiencies. IT governance ensures an organization's IT systems are functioning as intended, provides oversight of IT operations, and mitigates related risks. Despite its importance, there is a lack of research on the impact of ITG on internal audit role, particularly in the context of internal control. This study aims to fill this research gap by investigating the relationship between ITG characteristics and IAF within IAF. The research examines the link between ITG and IAF, as well as ITG's impact on internal control practices. The study analyzes survey responses from 414 internal auditors in Iraqi companies using a statistical method. The results demonstrate a strong association between IT knowledge, internal auditing responsibilities, the degree of strength of the IAF-IT relationship, and the effectiveness of ITG processes. Additionally, there is a significant association between IT audit abilities and ITG mechanisms. Also, effective overall controls are positively associated with well-capitalized ITG processes and a strong relationship between IAF and IT. This research extends the earlier work on the role of ITG in auditing and focuses on the crucial importance of ITG in the creation of effective IT systems.
The Effect of The Modified Snakes and Ladders Game on the Knowledge of School-Age Children in Choosing Healthy Snacks in West Java Indonesia Wahyuni, Sri; Putri, Delia; Heni
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 12 (2024): December 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Healthy snacks are nutritious snacks and do not contain dangerous substances. Many children, especially those in elementary schools, don't know about it, so they often become victims of snack poisoning at school. One of the events to provide health education to elementary school children is through modified snakes and ladders. This research aims to determine the effect of the modified snakes and ladders game on children's knowledge in choosing healthy snacks. This research uses quantitative methods with a quasi-experimental research design using a one group pretest-posttest design approach. with a total sample of 79 school age children. Based on the results of the research and discussion, it can be concluded that there is an influence of the modified snakes and ladders game on school children's knowledge in choosing healthy snacks with a value of p=0.000 <0.05. It is hoped that this research can provide knowledge to students and can also be used by teaching staff as a source of information that can help in improving healthy snacks. It is hoped that this research can add information and references for future researchers.
Comparative Analysis of Classification of K-Nearest Neighbor (KNN) Algorithm and Decision Tree in Breast Cancer Using Rapidminer Rosida, Ema; Firmansyah, Andri; Suherman
International Journal of Applied Research and Sustainable Sciences Vol. 2 No. 12 (2024): December 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Breast cancer is the leading cause of cancer-related deaths among women in Indonesia and worldwide. Early detection is critical for improving survival rates, yet many cases are diagnosed in late stages due to inadequate awareness and diagnostic tools. This study compares the performance of K-Nearest Neighbor (KNN) and Decision Tree algorithms for breast cancer classification using the Wisconsin Breast Cancer dataset. The Cross-Industry Standard Process for Data Mining (CRISP-DM) framework was applied, consisting of Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment phases. The results indicate that KNN achieved the highest accuracy (97.14%) and Area Under the Curve (AUC) value (0.976), outperforming the Decision Tree algorithm (accuracy: 96.49%, AUC: 0.965). These findings highlight the potential of data mining techniques for enhancing early breast cancer detection and improving clinical decision-making.

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