International Journal of Social Service and Research

THE INFLUENCE OF THE BANDUNG DISTRICT TOURIST AREA TRANSPORTATION SYSTEM

2024-09-09T01:49:29+00:00

One of the problems with the transportation system to tourist locations in the Bandung Regency area is congestion which causes an increase in average daily traffic (LHR) due to the use of private vehicles. If the vehicle's LHR increases, the vehicle speed will be low and the cost of transporting the vehicle to tourist locations will become expensive. This research aims to calculate the BOK for the Bandung Regency tourist area, calculate the BOT for the Bandung Regency tourist area and analyze the influence of the transportation system in the Bandung Regency tourist area. The research method uses quantitative and qualitative research (mix method). From the results of BOK calculations and analysis using the Pacific Consultant International (PCI) method, the total BOK value for working days and holidays for Curug Cinulang is IDR 56,582.00. Tebing Keraton Rp. 79,841.00, and Ranca Upas Rp. 103,366.00. From the results of BOT calculations and analysis using the Pacific Consultant International (PCI) method, the total BOT value for weekdays and holidays for Curug Cinulang is IDR 59,714.00. Tebing Keraton Rp. 50,959.00 and Ranca Upas Rp. 108,137.00. Based on the results of the analysis, It can be seen from the indicators that the obstacles faced in daily activities, especially in traveling, are having to deal with traffic jams which cause low vehicle speeds, wasting a lot of time and fuel on the road, thus disrupting travel activity plans.

ARTIFICIAL INTELLIGENCE TO OPTIMIZE THE ROLE OF NOTARIES IN RESOLVING LAND INHERITANCE DISTRIBUTION BASED ON CUSTOMARY LAW

2024-11-08T08:50:17+00:00

The distribution of land inheritance often poses challenges, particularly within the context of customary law that varies by region. The role of notaries, recognized legally to draft authentic deeds in accordance with Article 16, Paragraph (1), letters a and b of Law No. 2 of 2014 on Amendments to Law No. 30 of 2004 on Notary Positions, is crucial in providing legal certainty and preventing disputes among heirs. In this era of technological advancement, artificial intelligence (AI) can assist notaries in expediting and simplifying the resolution of land inheritance issues more efficiently while adhering to applicable customary law provisions. The purpose of this research is to analyse the role of notaries in the resolution of land inheritance distribution under customary law and to explore the potential utilization of artificial intelligence in assisting this process. The research method used is normative juridical, using a statutory approach and an analytical approach. The research shows that artificial intelligence (AI) can assist notaries in document verification, heir identification, and the application of complex customary law. AI accelerates the process and reduces the potential for disputes, but it requires regulatory adjustments and increased technological literacy among notaries and the public. Artificial intelligence (AI) has significant potential to optimize the role of notaries in resolving land inheritance under customary law by accelerating processes, improving accuracy, and ensuring fairness. However, the successful implementation of AI requires clear regulations and collaboration between the government, legal institutions, and customary communities.

PATIENT DATA PROTECTION IN THE DIGITAL ERA (CHALLENGES AND LEGAL SOLUTIONS)

2024-11-08T08:27:02+00:00

Artificial intelligence (AI) has emerged as a promising technology in the field of healthcare, enabling the development of innovative solutions that enhance the quality and efficiency of medical services. The application of AI in the management of patient data has facilitated the acceleration, optimization, and precision of this process, which can subsequently improve the quality of healthcare services. This study aims to analyse the legal challenges that arise with the use of digital technology and artificial intelligence in patient data management, and to identify relevant legal solutions to overcome these problems. The study employs library research techniques, analysing statutory provisions and drawing on both written and unwritten positive law to examine legal issues. The results show that the integration of AI and digital technology in healthcare has yielded significant advantages, including enhanced efficiency, precision in diagnosis, and the harnessing of big data for patient care. However, a number of significant challenges remain, particularly with regard to the safeguarding of personal data. The formulation of an ethical framework for the utilisation of AI, the establishment of rigorous safety standards and the continuation of research in this domain are vital to enhance the advantages and mitigate the risks associated with the deployment of AI. It is imperative that health institutions and AI developers implement robust cybersecurity standards and periodic assessments for potential system vulnerabilities.

THE LEGAL PROTECTION OF HOSPITALS IN THE CASE OF NON-BPJS PATIENTS WHO ABSCOND AS A FORM OF BAD FAITH DUE TO THEIR INABILITY TO PAY

2024-11-08T08:34:27+00:00

Hospitals often encounter financial difficulties when non-BPJS patients evade payment due to financial incapacity, with some institutions unfairly shifting the financial burden onto doctors. This situation raises serious legal, ethical, and employment concerns, especially in light of Law No. 17 of 2023 on Health, which mandates institutional responsibility for patient management. Meanwhile, Artificial Intelligence (AI) offers promising solutions for predicting and mitigating financial risks by identifying high-risk patients, though it introduces new challenges regarding data privacy, accountability, and liability. This study aims to explore the legal protections available to doctors when patients abscond without paying, and to propose a legal framework for integrating AI in healthcare to prevent such incidents. Using a normative legal approach, the research analyzes key provisions of Law No. 17/2023, employment regulations, and relevant case studies involving financial disputes between doctors and hospitals. The results show that imposing financial liability on doctors not only breaches employment principles but also contradicts healthcare regulations. Furthermore, AI can improve financial risk management by helping hospitals predict and prevent non-payment cases, though its implementation requires clear legal guidelines to avoid unintended consequences for medical staff. In conclusion, hospitals must bear financial responsibility for unpaid patient bills to protect doctors' legal rights. Additionally, a comprehensive regulatory framework for AI is essential to ensure that the technology is implemented fairly, safeguarding both healthcare professionals and patient interests.

STATE LIABILITY IN EFFORTS TO PROTECT PATIENTS' RIGHTS TO CHOOSE HEALTH CARE FACILITIES IN THE FORM OF VACCINES AS A FORM OF HUMAN RIGHTS ENFORCEMENT

2024-11-08T08:06:25+00:00

Health is a fundamental aspect of human life, and the right to choose health care facilities, including vaccination, is crucial to the enforcement of human rights. In the digital age, the role of Artificial Intelligence (AI) in optimizing health services, particularly in vaccination distribution and monitoring, has become significant. AI systems can enhance transparency, accuracy, and accessibility in providing health care, but they also raise questions about accountability and ethical concerns. This study examines the state's responsibility in regulating the use of AI for the protection of patients' rights, focusing on AI's role in ensuring safe, licensed vaccines for children and equitable access to healthcare facilities. The study also analyses how AI could improve the state's efforts in fulfilling its human rights obligations by making healthcare more efficient and inclusive. A normative juridical method is employed, using a statutory and analytical approach, to explore the legal frameworks governing AI in health care and the state's responsibility. The findings reveal gaps in current legal protections against the use of unlicensed vaccines, and the unequal access to AI-supported health services for vulnerable groups, such as children. While AI can help identify and distribute vaccines more effectively, the state has yet to fully implement regulations that guarantee fairness and safety in AI-driven health services. The integration of AI into healthcare poses both opportunities and challenges, and the state must strengthen its accountability mechanisms to ensure AI supports human rights, especially children's right to access safe and reliable vaccinations.

LEGAL REVIEW OF CHILD NUTRITION HEALTH REGARDING THE CHALLENGES OF STUNTING IMPLICATIONS IN CHILDREN WITH SPECIAL NEEDS IN RURAL AREAS THROUGH THE UTILIZATION OF ARTIFICIAL INTELLIGENCE

2024-11-08T08:14:01+00:00

Children with special needs are vulnerable in rural areas to nutrition problems, including stunting, due to limited access to health services and minimal nutrition knowledge. Article 11 of Law No. 17 of 2023 on Health emphasizes the responsibility of the Central and Local Governments to provide access to healthcare facilities and health education. In this case, the utilization of artificial intelligence (AI) can help monitor, diagnose, and intervene more effectively against stunting through accurate data analysis and timely recommendations. The objective of this study is to analyse the legal challenges related to child nutritional health, especially stunting in children with special needs in rural areas, and explore the potential of utilizing AI in addressing this issue. The research method used is normative juridical, using a statutory approach and an analytical approach. The results show that children with special needs in rural areas face various challenges in accessing health services and nutritional information. Limited access, lack of community knowledge about the importance of nutrition, and lack of effective intervention programs are the main obstacles. On the other hand, the use of AI can help in early detection and treatment of stunting through health data analysis, and provide appropriate intervention recommendations. The use of artificial intelligence has great potential in improving the effectiveness of child nutrition health programs and reducing stunting cases among children with special needs in rural areas. Collaboration between the government, health institutions, and technology is needed to implement this solution effectively and sustainably.

THE PERSPECTIVE OF PLURALISTIC SOCIETY ON THE TRANSFORMATION OF INTELLECTUAL PROPERTY PROTECTION IN THE DIGITAL ERA AS AN EFFORT TO PREVENT COPYRIGHT INFRINGEMENT

2024-11-08T08:00:03+00:00

In the digital era, intellectual property rights (IPR) face unprecedented challenges due to rapid technological advancements and the global accessibility of digital content. This study examines the impact of digital developments on copyright infringement in Indonesia, a diverse and pluralistic society, and analyzes effective legal approaches for copyright protection within its unique socio-cultural context. Employing a normative-juridical approach, the research explores existing legal frameworks, including Indonesia’s Copyright Law and the Electronic Information and Transaction Law, to assess their capacity to address issues related to digital copyright infringement and the role of artificial intelligence (AI) in both enforcing and infringing copyright. By analyzing relevant statutes and applying a conceptual approach, the study evaluates the extent to which current legal mechanisms support creators' rights while balancing cultural values. The findings reveal that Indonesia’s legal framework requires adaptive and culturally relevant modifications to effectively protect copyright in a digitally connected, multicultural society. This research contributes to the discourse on digital copyright law, emphasizing the need for flexible regulations and collaborative efforts among government, communities, and stakeholders to foster compliance and awareness. Future research is recommended to focus on adaptive regulatory models that integrate technology with IPR protection and explore international cooperation to address the global challenges of digital copyright.

ANALYSIS OF THE APPLICATION OF ARTIFICIAL INTELLIGENCE-BASED DNA TESTS IN THE INVESTIGATION OF GENERAL CRIMES IN INDONESIA

2024-11-08T08:55:24+00:00

Investigating common crimes in Indonesia often faces challenges in proving them. DNA testing is internationally recognized as an accurate method of proof. However, its implementation in Indonesia is still hampered by limited health facilities and human resources, especially experts such as forensic scientists and law enforcement officials who are skilled in the use of forensic technology and analysis. With technological advancements, especially artificial intelligence, there is potential to improve the effectiveness of DNA testing in investigations. The purpose of this study is to evaluate the challenges in implementing artificial intelligence-based DNA tests in the investigation of common crimes in Indonesia and to identify strategic measures to overcome these barriers while maximizing the potential of this technology in law enforcement. The research method used is normative juridical, using a legal approach and an analytical approach. The findings of the study suggest that while artificial intelligence-based DNA testing has the potential to improve the effectiveness of investigations, significant challenges remain, including inadequate infrastructure, a lack of understanding among law enforcement officials, and the need for specialized training for forensic personnel. Furthermore, although Article 75 letter l of Law Number 35 of 2009 regulates the use of DNA tests, more detailed regulations are needed for the application of artificial intelligence in forensic analysis and evidence collection. AI-based DNA tests can improve the accuracy and efficiency of criminal investigations in Indonesia. Regulatory reform and collaboration between governments, educational institutions, and the private sector are needed to address the challenges and develop guidelines for their use.

THE STANDARD INPATIENT CLASS (KRIS) POLICY IN HOSPITALS AND ITS IMPACT ON THE DECLINE IN BED AVAILABILITY FOR BPJS

2024-11-08T08:21:31+00:00

The Standard Inpatient Class (KRIS) policy introduced by BPJS Kesehatan aims to enhance equitable healthcare quality by standardizing hospital inpatient facilities in Indonesia. However, its implementation has raised concerns due to its significant impact on hospital bed availability, particularly in facilities with limited capacity, leading to challenges in service accessibility and quality. This study aims to examine the implications of the KRIS policy on bed capacity and healthcare service standards, as well as the obstacles faced by hospitals in maintaining service quality for BPJS participants. Employing a normative juridical method, the research systematically analyzes legal materials, including Presidential Regulation Number 59 of 2024, alongside relevant secondary literature. The findings reveal that the policy, while intended to improve service equity, has resulted in a notable decline in bed capacity, increased waiting times, and heightened workloads for medical personnel, particularly in resource-constrained hospitals. Hospitals in remote areas face additional challenges in meeting infrastructure requirements due to budget limitations. The study concludes that balancing the policy's quality standards with resource availability remains a critical issue, necessitating sustainable financial strategies, capacity-building programs, and innovative resource management solutions to ensure equitable healthcare access for all BPJS participants. Future research should focus on comparative assessments, patient satisfaction, and alternative strategies to optimize policy outcomes.

THE ROLE OF THE REHABILITATION CENTER OF THE MINISTRY OF DEFENSE OF THE REPUBLIC OF INDONESIA IN ENHANCING THE QUALITY OF LIFE OF DISABLED SOLDIERS OF THE INDONESIAN NATIONAL ARMED FORCES THROUGH THE UTILIZATION OF ARTIFICIAL INTELLIGENCE

2024-11-08T08:45:19+00:00

The Indonesian National Armed Forces (TNI) are frequently exposed to the risk of physical and mental injuries that may result in disability. The integration of artificial intelligence (AI) into integrated rehabilitation programs has the potential to expedite the recovery process, enhance diagnostic precision, and facilitate more tailored and efficacious care. This study aims to examine the role of Integrated Rehabilitation at the Rehabilitation Center of the Ministry of Defense of the Republic of Indonesia in improving the quality of life for Indonesian national army soldiers with disabilities. The research employs a normative juridical research method to systematically investigate the legal framework underpinning rehabilitation programs for soldiers and explores the potential integration of AI into these processes. The results show that the integrated rehabilitation services at Pusrehab Kemhan can improve the operational efficiency of the rehabilitation centre. The incorporation of AI in rehabilitation processes serves a crucial purpose in the context of improving the effectiveness of rehabilitation services for people with disabilities, especially for TNI soldiers. Despite challenges related to patient data privacy and security, the potential of AI is enormous.