Hyperlipidemia is a condition in which lipid levels in the bloodstream (plasma) experience an imbalance in lipid levels, although it does not show severe symptoms but can trigger various serious diseases. Statins are used as the main therapy for antidyslipidemia, but with long-term use, statins cause various side effects such as muscle pain, muscle disorders and muscle discomfort. Indonesia has a variety of plants that have benefits for lowering blood cholesterol levels. To determine the potential of metabolite compounds contained in several plants as HMG-COA Reductase inhibitors, research can be carried out using molecular docking. The purpose of this literature study is to determine the comparison of compounds that have HMG-COA Reductase inhibitor inhibitor activity. The method used in compiling this literature study is from various national and international scientific articles published in the period 2020-2025. The natural compounds that have been studied have significant inhibitory activity against the HMG-CoA Reductase enzyme, namely from the 10 plants studied, Rhodomyrtus tomentosa has the best activity in inhibiting the HMG-CoA Reductase enzyme with an Affinity of the Binding value of -11.4 so that it has the potential to be further developed as a natural anti-cholesterol drug.

This study aims to analyze the extent to which artificial intelligence (AI) technologies are utilized by government institutions and companies in public relations (PR) practices, and to relate these findings to crisis management strategies. Using a descriptive quantitative approach, data were collected through surveys and interviews involving 23 institutions, consisting of 19 government agencies and 4 private companies. The results show that ChatGPT is the most widely used AI tool (56%), followed by Gemini (34%) and QuillBot (14%). Most other tools showed low usage rates, with a high percentage falling under the “unknown” category, indicating limited information and awareness regarding AI technologies within PR environments. These findings have strategic implications in the context of crisis management, as the speed and accuracy of information dissemination are highly dependent on technological adaptability. The integration of AI tools into public communication systems can serve as both a preventive and responsive solution to reputational and operational crises. Therefore, policies are needed to enhance digital literacy and provide technical training on AI utilization for PR practitioners in both the public and private sectors.

SP4N-LAPOR is a platform developed by the Ministry of Administrative and Bureaucratic Reform to facilitate the public in submitting complaints, aspirations, and suggestions related to public services. The number of SP4N-LAPOR! reports in Tanjungpinang City was 252 reports from 2019 to 2023. In 2023, the number of reports increased by 73. Based on data and information gathered during the preliminary research, out of the 73 reports, 54 were completed, 12 were processed, and 7 were archived. The increase in the number of reports prompted the researcher to examine the effectiveness of the resolution process. The research question in this study is: How effective is the resolution of public grievances and complaints through online services in the city of Tanjungpinang in 2023? This study aims to analyze the effectiveness of the resolution of public aspirations and complaints online at several agencies in Tanjungpinang City in 2023. The theory used in this study is Campbell J.P.'s theory, which consists of four aspects: program success, target success, input and output levels, and overall goal achievement. The method used is a qualitative approach. The research results from the program success indicators show that the steps taken in verifying and resolving reports are in accordance with the SP4N-LAPOR! SOP. In the target success indicators, the researcher found that all complaint reports for 2023 have been completed. Although there are still some unfinished reports on the SP4N-LAPOR! website, they are still being followed up by the relevant agencies.

This research is a study in the field of Public Administration aimed at describing community empowerment management through the Holistic Village Development and Empowerment Program (PHP2D) in the development of Kebon Winduaji Coffee in Winduaji Village, Paguyangan District, Brebes Regency in 2020. The research method employed a descriptive qualitative approach with a case study design. The research targets were stakeholders involved in community empowerment activities through the PHP2D program. The selection of informants in this study used purposive sampling technique. Data sources for the research utilized both primary and secondary data. This research focused on aspects including available strengths and opportunities, while simultaneously minimizing weaknesses and threats faced in the development of Kebon Winduaji Coffee. Data analysis used an interactive model with descriptive design. The research findings indicate that successful community empowerment through local products requires a balance between two important elements: preserving local culture and traditions, and adapting to contemporary market demands. The long-term success of community empowerment programs depends not only on the availability of funding and support from various parties. More importantly, it is the ability to build a robust system that can withstand various external changes, while maintaining the distinctive characteristics and authenticity of local products as a sustainable competitive advantage.

The aim of this research is to describe the mathematical representation abilities of class X,this research is a qualitative descriptive type research. The subjects in this research were class XII students at SMAN. 2 Kerinci for the 2023/2024 academic year as many as 24 students. The focus of this research is the ability to visual representation, symbolic representation and verbal representation. The research methodology used is qualitative descriptive where tests and documentation are the data collection techniques used. The conclusion of this research is that mathematical representation skills are very important for students to master in determining the right strategy to solve a mathematical problem. Mathematical problems in everyday life, visual, verbal and symbolic representation skills are used, because everyday life problems need to be represented in the form of symbols or images in order to make it easier to solve and face problems.

This study aims to evaluate the extent to which service quality, store atmosphere, and the implementation of proactive strategies contribute to business strategy at CV MM Acing Jaya located in Pangkalpinang. This study uses a quantitative approach with data collection techniques through distributing questionnaires to 71 respondents consisting of customers and business partners of the company. Multiple linear regression analysis was used to test the research hypothesis consisting of three independent variables (service quality, store atmosphere, and proactive strategy) and one dependent variable (business strategy). The results showed that store atmosphere and proactive strategy had a positive and significant effect on business strategy, while service quality showed no significant effect. The findings suggest that the creation of a supportive store atmosphere and the implementation of responsive and innovative strategies are important factors in strengthening the competitiveness of ritel companies. This research provides a practical contribution for businesses in developing business strategies that are more adaptive and oriented to consumer needs.

Poverty is a serious problem in Indonesia, including in North Sumatra. Various factors include the human development index (HDI) and unemployment rate. This research aims to analyze the influence of the Human Development Index (HDI) and unemployment on the poverty rate in North Sumatra using the method multiple linear regression to analyze secondary data obtained from the Central Statistics Agency (BPS) of North Sumatra. The variables used in this research are the HDI and unemployment, while the dependent variable is the poverty level. The results of the research show that the HDI and the unemployment rate have a significant influence on the poverty level. These findings show that to reduce poverty in North Sumatra, efforts are needed to increase the HDI through improving the quality of education, health and living standards of the community by increasing the HDI which provides efforts to prevent poverty from occurring.

Students' understanding of the concept of nets and surface area of spatial shapes is still relatively low due to the abstract nature of the material and the lack of connection with real life. This study aims to determine the effect of contextual learning models based on North Sumatra local wisdom on improving elementary school students' concept understanding. The method used is Systematic Literature Review (SLR) by analyzing various relevant sources from 2019 to 2024. The results showed that the integration of local cultural elements, such as Batak traditional houses (Rumah Bolon), gorga carvings, and traditional crafts, can help students understand mathematical concepts more concretely. This approach encourages better spatial visualization and calculation skills, and increases students' motivation and active participation. Learning becomes more meaningful as students can relate the material to their cultural environment. However, challenges such as limited learning resources and teacher readiness are still barriers to implementation. Therefore, training for teachers and development of local culture-based teaching materials are needed. This research contributes to the development of contextual learning strategies that are more relevant to students' cultural background, especially in mathematics education at the primary school level.

Coronary Heart Disease (CHD) is the leading cause of death in Indonesia. CHD is a disease caused by blockages in blood vessels (atherosclerosis) that disrupt blood flow to the heart. There are several risk factors for CHD, including smoking and hypertension. The purpose of this study was to determine the relationship between smoking and hypertension in patients with CHD. This research method uses the methodliterature review. Data were obtained from secondary data using documentation techniques. This documentation was done by searching for articles through Google Scholar and Pubmed. The selected articles were in accordance with the research variables and inclusion criteria. The articles were analyzed using the procedurecompare, contrast, criticize, synthesize, dan summarize. From the study, 3 articles were obtained that had data related to smoking and CHD variables (p < 0.05) and 3 articles that had data related to hypertension and CHD variables (p < 0.05). Conclusion: There is a significant relationship between smoking and hypertension in CHD patients.

This study aims to analyze the impact of the monetary and fiscal policy mix on Indonesia's economic growth during the COVID-19 pandemic in the period 2013-2023. Using the Simultaneous Regression method (Two-Stage Least Squares/2SLS), this study tests two simultaneous equations, namely the effect of exports, unemployment rate, and inflation on economic growth (GDP), as well as the effect of exchange rates (exchange rates), interest rates, and GDP on inflation. The results of the study indicate that exports and unemployment have a significant negative effect on economic growth, while inflation has a significant positive effect on GDP. Meanwhile, the exchange rate and interest rate have a significant effect on inflation, but GDP does not have a significant effect on inflation. The normality test shows that the data is normally distributed and the autocorrelation test does not detect any autocorrelation, so the model used is valid. The effectiveness of monetary policy through the exchange rate channel on economic growth was found to be positive, although not statistically significant. This finding emphasizes the importance of coordination between fiscal and monetary policies, maintaining exchange rate stability, controlling inflation, and efforts to restore the real sector and reduce unemployment to support sustainable economic growth in Indonesia. This study provides recommendations for the government and monetary authorities to strengthen policy synergy in facing economic challenges, especially during times of crisis, to ensure more effective national economic stability and recovery.