An increase in systolic and diastolic blood pressure is known as hypertension.When people are unaware of how to effectively treat their hypertension, the prevalence of high blood pressure (hypertension) can lead to a host of issues.Hypertension, or high blood pressure, is one of the leading causes of death from cardiovascular disease.As many as 26.5% of Indonesian people were hypertensive in 2013. Premature mortality, heart failure, and neurological diseases are all increased by hypertension. Factors related to socioeconomic status, age, and lifestyle can all contribute to the development of hypertension.As we get older, our big blood arteries undergo structural changes that raise cytolic blood pressure and constrict the channel lumen, increasing the chance of developing hypertension.Google Schoolar, published between 2019 and 2021, is utilized in this research.This research aims to better understand hypertension, or high blood pressure.High Blood Pressure (Hypertension) is the subject of this journal's qualitative research, which consists of reading a variety of publications.The general population has accurate information regarding hypertension, according to this journal's findings.
 

General elections or what can be called people’s democratic parties are one of the main parameters for measuring the success of implementing democracy in a country. This research discusses the relationship between society and the state in voting, characterized by Indonesia being a country that adheres to a democratic system, where state power is in the hands of the people, as regulated in the 1945 Constitution of the Republic of Indonesia. The aim is to know and understand how to implement it. Public policy in voting in Indonesia. Method was carried out using a literature approach. The results of the research are to understand the public policy system in voting in Indonesia and how the government behaves in dealing with problems wisely during elections, and democracy can run well in accordance with its principles and objectives. The results of this research show that whenever there are problems when voting, the right policies will be able to minimize the problems that occur. The policies that need to be implemented are in accordance with government regulations and the principles of democracy itself.

The promotion of online gambling through social media such as Instagram and WhatsApp is increasingly attracting public interest, even though it violates the law in accordance with Article 27 Paragraph (2) of Law Number 19 of 2016. Case at the Tanjung Karang District Court (Number 892/Pid.Sus/2023/PN .TJK) revealed that online gambling promotion is a criminal offense with the threat of prison sentences and fines. What is the criminal liability of perpetrators who promote online gambling products and what is the basis for the judge's considerations in imposing criminal penalties on perpetrators who promote online gambling products? Data analysis uses qualitative data analysis. The judge's decision is in accordance with applicable law, taking into account legal, sociological and philosophical aspects. In this case the judge placed more emphasis on the sociological and philosophical aspects. Hakim used Mackenzie's theory, emphasizing balance, artistry, intuition, and a scientific approach. Criminal liability must be strictly legally necessary to protect society from the negative impacts of online gambling. The criminal liability contained in decision number 892/Pid.Sus/2023/PN.TJK regarding online gambling promotion involves several defendants. This decision emphasizes the importance of law enforcement in maintaining justice and public security, and shows the appropriate application of the law to punish the promotion of illegal gambling.

This study aims to empower farmer groups in applying appropriate technology to rice farming productivity in Sukajadi Village, Sadananya District, Ciamis Regency. The research methods used include field surveys and analysis of productivity data from farmers who apply this technology compared to those who do not. Primary data was collected through structured interviews with farmers and direct observation in the field during the research period. Data analysis was carried out by comparing rice production results, efficiency of using agricultural inputs, and farmer income before and after adopting appropriate technology. The research results show that the adoption of appropriate technology significantly increases rice productivity in terms of the number of harvests per hectare and reduces the costs of certain inputs such as fertilizers and pesticides. In addition, farmers who apply this technology also report better income increases compared to conventional methods. These findings support the importance of implementing appropriate technology in improving food security and the economy of farmers in rural areas such as Sukajadi Village. This research contributes to expanding understanding of the practical benefits of appropriate technology in the context of rice farming in Indonesia.

This study aims to determine the difficulties of students in solving Higher Order Thingking Skills (HOTS) problems by using the Polya method in Trigonometric comparison materials. This research is a descriptive qualitative research. The subjects of the study were 36 students in class X.1 of SMA Negeri 2 Situbondo. Data collection techniques use test questions, interviews and documentation. The test in the form of Higher Order Thingking Skills (HOTS) questions is carried out to measure students' abilities. Interviews were conducted on 6 students based on the category of ability level of test results. Data analysis was carried out using data induction and reduction theory. The test results showed that those who scored in the high-level category were 10 students (28%), the moderate-level category was 14 students (39%) and the low-level category was 12 students (33%). The conclusion of this study states that the difficulty of students in solving Higher Order Thinking Skills (HOTS) questions using the polya method, namely subjects with high-level categories, experience difficulties at the re-examination stage. Subjects with a moderate level category, experienced difficulties at the stage of implementing the plan and re-examining. Subjects with low-level categories experienced difficulties at all stages of polya, namely at the stage of understanding the problem, making a plan, implementing the plan and re-examining.

Management Community-based natural resource management and conservation is an effective approach in maintaining environmental sustainability and improving the welfare of local communities. This research aims to analyze the natural resource management and conservation strategies implemented by the people of Tanjungsari Village, Sadananya District, Ciamis Regency. The research method used is a qualitative approach with data collection techniques through in-depth interviews, participatory observation, and documentation studies. The results showed that the Tanjungsari Village community has developed various local initiatives to preserve water sources, and manage tourist attractions in the village. The active participation of the community in conservation activities, support from the local government, and cooperation with non-governmental organizations are key factors in the success of this program. The study concludes that a community-based approach to natural resource management is not only able to preserve the environment, but also contributes to improving the economic and social welfare of local communities. In addition to management, socialization was held. The implementation of these socialization activities is proven to increase the understanding and skills of the community in managing tourism potential in a sustainable manner. In addition, support from the local government and active participation of the community are important factors in the development of curug lewi pamipiran as a leading tourist attraction in Ciamis Regency. This study concludes that institutional strengthening through socialization and training is an effective strategy to optimize regional tourism potential, improve community welfare, and encourage local economic development.

This study aims determine the influence of work discipline, compensation and job satisfaction towards employee performance.. This study used associative method. The population is emplyees of BANK BRI KC CIREBON KARTINI. The sample collection amount 125 respondents. Data analysis method used validity test, reliability, classical assumption, regression analysis, and t test and f.
The result of research show that partially work discipline, compensation and job satisfaction give significant effect to employee performance. By Simultaneous variable of work discipline, compensation and job satisfaction give significant effect equal to 90,3% towards employee performance and the remaining 9,7% influenced by other factors. And the implications in this research is BANK BRI KC CIREBON KARTINI must more focused on job satisfaction than work discipline and compensation cause job satisfaction has the lowest impact between the other two variables.

The Internet of Things (IoT) phenomenon is centered around linking various devices and objects to the Internet, enabling them to communicate, collect, and exchange data [1]. The IoT needs strong, lightweight, and secure authorization schemes to regulate many devices with varying levels of ability. Quantum-resilient federated Multi-Factor Authentication (QRF-MFA) is a solution presented in this paper to address the above-discussed issues. Featuring quantum-resistant cryptographic protocols, high-speed and low-energy Physically Unclonable Functions (PUFs), decentralized identity management, and optimized communication protocols, QRF-MFA provides a complete solution for secure cross-domain device identification and authentication. This is done by leveraging blockchain technology for immutable and transparent management of identities yet limiting on-chain storage overhead. It also provides secure, lightweight communication well-suited for resource constrained IIoT devices, and it is designed for fog and edge computing environments as well. QRF-MFA eliminates the challenges of current methods by combining security, efficiency, and scalability and delivering a resilient and future-ready solution to secure IIoT authentication.  

This paper explores the Time-Based One-Time Password (TOTP) authentication mechanism enhanced with lightweight cryptographic algorithms, presenting it as an advanced solution to the limitations of traditional OTP systems. There are a lot of applications and systems where this mechanism is applied. For example, bank applications, e-commerce websites, access control system, healthcare system, etc. TOTP generates dynamic, time-sensitive passwords using the current time and a secret key processed through a cryptographic hash function, significantly improving security by reducing vulnerabilities to code reused and interception. The adoption of lightweight algorithms ensures that TOTP can be efficiently implemented on resource-constrained devices, such as those on the Internet of Things (IoT) ecosystem. Despite its benefits, TOTP faces challenges including synchronization issues between client devices and servers, and a trade-off between computational efficiency and security strength. This paper discusses the implications of these challenges and evaluates how TOTP, with appropriate design considerations, can provide a robust, secure, and efficient authentication method suitable for various applications, from digital banking to IoT environments.

Item-based collaborative filtering is a popular technique in recommendation systems that aims to provide suggestions for films to watch or services to users based on similarities between items. In this approach, the similarity between items is calculated using metrics such as cosine similarity, allowing the prediction of user preferences for items that have never been rated. This research implements Item-based collaborative filtering using datasets from Kaggle. Experimental results show that the resulting model is able to provide recommendations with significant improvements in evaluation metrics such as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) of 3.05 and 3.26. This shows that the smaller the value, the better.