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This study aims to analyse the relationship between the level of health knowledge and the use of herbal therapy in hypertensive patients in Aldehia (One-Sere, Casmuto, Suli-Ua), Suco Buruma, Posto Administrativo Baucau, Municipiu Baucau, Timor Leste in 2024.  This study used a quantitative design with a cross-sectional approach. The study population consisted of hypertensive patients in Aldehia (One-Sere, Casmuto, Suli-Ua), Suco Buruma, Posto Administrativo Baucau, Municipiu Baucau, Timor Leste in 2024. The sample was selected by random sampling. Data were collected through a structured questionnaire with variables of health knowledge, use of herbal therapy, and other factors that influence the decision to use herbal therapy.65% of hypertensive patients have a low level of health knowledge and 67.5% do not use herbal therapy. There was a significant relationship between the level of health knowledge and the use of herbal therapy. Statistical tests showed that a better level of health knowledge tended to be associated with increased use of herbal therapy, with a significant p-value (p = 0.000), which suggests that health knowledge influences patients' decision to adopt herbal therapy. Education level was significantly associated with herbal therapy use (p = 0.015), where higher education level increased the likelihood of herbal therapy use (Exp(B) = 2.034). This study shows the importance of improving health knowledge and education in influencing the use of herbal therapy among hypertensive patients.

PT Rhoda Bakti Jaya is a company located on Jl. Pegangsaan Dua, Blok A1 Km 1.6, Kelapa Gading, Rt 05 / Rw 02 Kec. Kelapa Gading, North Jakarta .PT Rhoda Bakti Jaya is a company engaged in manufacturing PT. Rhoda Bakti Jaya is a company operating in the industrial sector which is located at JL. Pegangsaan Dua, Blok A1 Km 1.6, Kelapa Gading, Rt 05/ Rw 02 Kec. Kelapa Gading, North Jakarta. This company produces various types of components for trucks, namely truck frame or chassis components, brake components and pistons and brake cylinders. This job has a high risk of accidents so that it causes many accidents to workers. Therefore, in this research, using the HAZOP method, we can analyze the level of risk using likelihood, consequences and put it into the risx matrix scale.

Russiva and Crookes proposed the widely used, highly efficient, robust Q-score parameter scale in their 1993 work, and they approximated it using "fast" Huber's M-scores. Shown What proposed us M-scores are highly efficient and robust on arbitrary nom distributions, thanks to correct choice parameter approximations. We pay particular attention to the Cauchy divisions  and cases of Gaussian distribution . Important terms: Cauchy's law, parameter scale, robustness, and Gaussian distribution With the Q-estimate as a foundation, the M-estimates of the scale parameter are very efficient and robust. Rousseeuw and Croux (1993) proposed the scale parameter of Q-estimate, which is often used with fast Huber M-estimates, and we were able to get rather close to it. By meticulously choosing the approximation parameters, we proved that the proposed M-estimates are efficient and resilient for any data distribution. In order to measure the robustness and efficiency of scale M estimates , we calculated their asymptotic variances; breakdown points , and influence functions. The Cauchy and Gaussian distributions were our main focus. Notably, the proposed robust estimate is consistent the Maximum likelihood estimation for the Cauchy distribution. Last but not least, these robust and efficient scale estimates need three to four times less computing time than their comparable Q-estimates. The research provides robust and efficient solutions for estimating distribution parameters more quickly and with less complexity, making them suitable for applications requiring fast and accurate computations.  

The purpose of this study is to examine how school leadership can resolve teacher conflicts and how this affects educational institutions' overall performance. In the school setting, teacher conflict is frequently inevitable and can negatively affect the collaborative environment, work climate, and attainment of educational objectives. It is crucial for school leadership to mediate, manage, and resolve disputes so that they don't degrade the overall performance of the organization. This study examines numerous theories and empirical research on school leadership, conflict resolution techniques, and their effects on output and workplace culture using a qualitative approach and literature study methodologies. The study's findings demonstrate the importance of effective leadership philosophies like transformational and participative leadership in reducing the likelihood of conflict escalation and fostering productive working relationships. Furthermore, effective dispute resolution can boost the institution's reputation, enhance instructor effectiveness, and establish a positive learning environment. According to this study, school principals should possess both strong managerial abilities and interpersonal skills that enable them to facilitate productive dispute resolution.

Community development programs are very important in reducing poverty and enhancing societal prosperity by improving quality of life, fostering economic empowerment, and promoting inclusivity. However, not all the programs have success as expected. This study examines ten evaluation studies of community development programs across various areas and tries to find common weaknesses. A qualitative analysis of evaluation studies identifies shortcomings in three domains i.e. program design and management, stakeholder engagement and participation, and external resource constraints. It is argued that these shortcomings are largely predictable and highlight the need for proactive strategies. The paper suggests that embedding risk management into the conception and implementation of community development programs can mitigate these challenges. A simplified framework adapted from project management practices is proposed, encompassing risk identification, measurement, assessment, evaluation, and control. By systematically integrating risk management, community programs can anticipate obstacles, strengthen accountability, and enhance their likelihood of success. Recommendations include applying risk management throughout program cycles and conducting post-implementation evaluations to inform future initiatives.

This meta-analysis investigated the effect of life satisfaction on Sarcoidosis treatment outcomes across 47 studies encompassing 8,932 patients. The findings revealed a significant positive correlation between life satisfaction and treatment success (r = 0.62, p < 0.001). Patients with high life satisfaction scores (>7.5/10) demonstrated a 73% higher likelihood of achieving remission compared to those with low scores (<5/10) (OR = 2.84, 95% CI: 2.31-3.49). Regression analysis indicated that each one-point increase in life satisfaction scores was associated with an 18% reduction in Sarcoidosis relapse rates (β = -0.18, p = 0.002). Treatment adherence and health behaviors were found to mediate the relationship between life satisfaction and Sarcoidosis treatment outcomes, accounting for 42% and 35% of the variance, respectively. Moderator analyses demonstrated stronger effects among patients with disease duration <5 years (p = 0.011) and those with mild to moderate disease severity (p = 0.003). These findings extend the work of Lee et al. (2020) and Martínez-García et al. (2021) by demonstrating a more pronounced effect of life satisfaction on Sarcoidosis treatment compared to other chronic conditions. Notably, contrary to Saketkoo et al (2021) previous study, the effect of life satisfaction remained significant even after controlling for patients' socioeconomic factors (β = 0.41, p < 0.001). These results underscore the crucial role of psychosocial interventions in enhancing Sarcoidosis treatment efficacy, offering new perspectives in the management of this chronic condition.

Balai PIALAM, namely the Technical Implementation Unit (UPT) of the PUP-ESDM Office of the DIY Regional Government, is a centralized wastewater treatment plant. The problems that exist in Balai PIALAM are temporary storage of B3 waste does not meet the criteria, leaking storage, excessive capacity, methods that can be used to overcome B3 waste are using the HIRARC method, based on 9 activities of the B3 waste management process. Impact of hazard risk with research results Risk level: Medium 4 hazard effect 6.33%, High2 hazard effect 2.11%, extreme1 hazard effect 1.6%. The stages of making HIRARC are: decomposing the work into steps from the beginning to the end of the process, identifying the source of danger, determining the hazard posed by means of interviews, observations, observations, brainstorming, determining the impact on environmental workers, assessing the likelihood of occurrence is used to determine risk rating. Testing period January 2024, t BOD Input (min 99 mg/L,max 458 mg/L), Output (min 10 mg/L,max 59 mg/L), Average (input 206 mg/L, output 30 mg/L), testing period February 2024, testing t BOD Input (min 84 mg/L, max 288 mg/L), Output (min 12 mg/L, max 43 mg/L), Average (input 154 mg/L, output 24 mg/L). Use of APD such as laboratory coats, masks, special gloves, safety shoes, protective helmets and life vests, face shields. As well as implementing SOP. Control of hazards or risks both in laboratory and operational testing activities using APD: gloves, laboratory coats, safety shoes, protective glasses, masks, life vests, and special vests according to the work done and affirmation of SOP.

Diabetes is one of the non-communicable diseases that is considered dangerous due to its susceptibility to complications. This disease is caused by high blood sugar levels in a person's body, which makes the blood more alkaline and slows down the metabolic process. In this study, we observed 8 variables that are considered influential in diabetes and will build a regression model that can predict the response variable (y) through Logistic Regression Analysis. Logistic Regression Analysis is a statistical analysis method used to describe the relationship between a dependent variable with two or more categories and one or more independent variables that are categorical or continuous. Based on the results, the logistic regression model for factors influencing diabetes in the Indian Pima tribe includes variables such as number of pregnancies, glucose level, blood pressure, body mass index, and diabetes pedigree function

Autoimmune diseases, which are disorders where the immune system attacks the body’s own tissues, can affect anyone, including children and adults. These diseases often lead to serious tissue damage and physiological disturbances. Al Fuadi Binjai General Hospital, the primary healthcare facility in Binjai City, faces challenges in diagnosing autoimmune diseases in a timely manner due to limitations in time, cost, and distance. Delays in treatment can exacerbate patient conditions and slow recovery processes. The objective of this study is to develop a system that processes symptom and autoimmune disease data using the Dempster-Shafer method, which allows for uncertainty assessment in decision-making. Patient symptom data collected and analyzed using this method aims to determine the likelihood of autoimmune diseases. The developed system demonstrated high diagnostic accuracy, with the most accurate results for lupus with a confidence level of 94.40%. This result indicates that the Dempster-Shafer method can be an effective tool in accelerating the diagnostic process and improving the accuracy of autoimmune disease management at Al Fuadi Binjai General Hospital    

According to WHO data from 2018, the average percentage of women experiencing breast engorgement during breastfeeding reached 87.06% or 8242 women. However, according to a study by the Indonesian Health Research and Development Agency in 2018, the highest incidence of breast engorgement in Indonesia occurred in working mothers, accounting for 6% of breastfeeding mothers. The aim of this literature review is to determine the extent of the influence of breast care on breast engorgement in breastfeeding mothers. This study utilizes a literature review method by collecting and analyzing 10 full-text Indonesian-language journals from 2019 to 2023 from sources available in databases such as Google Scholar using keywords such as breast engorgement, breast care, and breastfeeding. The inclusion criteria for this work are journals that investigate breastfeeding mothers undergoing breast care. Based on the keywords used, 10 journals that meet the criteria were found, and all of them indicate that breast care has an impact on breast engorgement. In the 10 journals reviewed, breast care is identified as one of the dominant factors in breast engorgement incidence because it can facilitate breast milk flow and reduce the likelihood of breast engorgement.

The research comprised multiple simulated tests to determine the relationship between (sample size, distribution parameter value, estimation method, and pollution indivuduales). The experimental findings indicate that the estimator is influenced by sample size, the value of distribution parameter, estimation method, and pollution indivuduales. The results of the mean square error analysis indicate that (robust estimation method) produces the best results with the lowest mean square error, and the best estimation method was (191) of (243) simulation experiments. Additional statistical distributions with additional factors can be performed to demonstrate additional results.

Type 2 diabetes mellitus represents a persistent metabolic dysfunction marked by elevated blood glucose levels attributable to insulin resistance. Geriatrics pertains specifically to individuals aged 60 years and older. Managing diabetes mellitus necessitates intricate therapeutic interventions, often comprising single or combined pharmacological agents aimed at achieving euglycemia. The concurrent administration of multiple medications, termed polypharmacy, amplifies the likelihood of pharmacological interactions. This investigation endeavors to delineate potential drug interactions observed in geriatric inpatients afflicted with type 2 diabetes mellitus at Dr. Moewardi Regional General Hospital in Surakarta throughout the calendar year 2023. The study adopted a descriptive observational design employing a cross-sectional approach. Data collection was conducted retrospectively through purposive sampling based on the medical records of geriatric patients at Dr. Moewardi Regional General Hospital in Surakarta. Inclusion criteria encompassed patients aged 60 years and older diagnosed with type 2 diabetes mellitus who had been hospitalized. Exclusion criteria included incomplete or illegible medical records, patients diagnosed with anemia and hemoglobinopathies, and those who expired during treatment. The findings revealed that out of 100 patients, 96 experienced drug interactions. Most patients (47.00%) were aged between 66 and 74 years. Females constituted a larger proportion (51.00%) of the patient cohort. Among hospitalized patients, 83 (83.00%) were admitted for 2-6 days. A total of 70 patients (70.00%) were prescribed between 4 and 13 medications. The predominant severity level of drug interactions was moderate, comprising 1,017 cases (74.60%). Pharmacodynamic mechanisms accounted for most drug interactions observed, totaling 1,054 cases (77.30%).  

This investigation intends to conclude the effect of thing quality, cost and brand picture on revenue in purchasing Scarlett's pervasive things in the Jabodetabek district. The dependent variable is Buy Interest, while the free factors are item quality, cost, and brand image. Individuals who have utilized Scarlett Lighting up items and are keen on buying them in the Jabodetabek region make up the number of inhabitants in this review. This study chooses an example of 129 respondents utilizing a non-likelihood examining strategy in light of deliberate testing. Using a 4-point Likert Scale, assessments of public sentiment were disseminated to complete the data collection process. Information assessment systems use different direct break faith evaluations. At Scarlett Lighting up things in the Jabodetabek region, the findings of this investigation demonstrate that the nature of the product has a significant impact on buy revenue, that the cost of the product has an impact on buy revenue, and that the brand image has an impact on buy revenue. Furthermore, the quality of the product, the cost of the product, and the brand image all have a positive impact on buy revenue.  

Lung cancer is all malignant diseases in the lungs. In Indonesia in 2020, it was ranked third with 34,783 cases. The nutritional problem faced by lung cancer patients is the difficulty of receiving food. As a result of the presence of cancer in the body and the effects of treatment therapy, cancer patients experience various nutritional problems that if not overcome immediately can worsen their health conditions. Experts state that cancer patients need nutritional screening to detect nutritional disorders, as well as weight loss (BB) and body mass index (BMI) since the patient is diagnosed with cancer. Balanced nutrition can inhibit the likelihood of further weight loss and infection. Although the cure rate of cancer patients is still very low, with the right nutritional therapy and a supportive environment, it is hoped that it can support the success of lung cancer patient therapy.    

This research aims to understand how to optimize the impact of misunderstandings. The study uses the literature review method by investigating 12 journal articles published between 2017 and 2024. The study aims to analyze the forms of misunderstandings in regional languages, as well as differences in public opinion in regional language, and the impact of their differences so as to find ways to optimize the misunderstanding of local languages. The results of this study showed some forms of misunderstanding in the use of regional languages, such as pronunciation, logarithm, and interregional tone of speech. In research, it was found that character differences in speech, such as a loud and fast tone, can increase the likelihood of misunderstanding when two people from different areas speak.

This article explores the application of blockchain technology to enhance ethical operations in the food industry. Blockchain is viewed as a potential solution for improving transparency, accountability, and efficiency in the food supply chain. This technology enables the recording of transactions that are immutable and publicly verifiable, reducing the likelihood of fraud and product contamination. Additionally, blockchain can support compliance with ethical and sustainability standards, helping companies build trust with consumers. The study suggests that further research is needed to explore various aspects of blockchain application in the food industry, such as sustainable finance, digital forensics, and supply chain management. However, the article is limited by its focus on bibliometric analysis and lacks empirical data on blockchain implementation in the food industry. Future research should combine theoretical and practical approaches to provide a comprehensive view of blockchain's use in ethical and sustainable business operations.  

The research results show that perpetrators of criminal acts of dating violence in the jurisdiction of the Gorontalo City Police are subject to criminal liability as regulated in Article 351 of the Criminal Code as simple assault or Article 466 of the Law of the Republic of Indonesia Number 1 of 2023 concerning the Code of Laws. Criminal law as the latest Criminal Code. So the perpetrator commits a violation of norms that is against the law. Factors that cause violence in dating in the Gorontalo City Police jurisdiction are: personality factors, violence in dating can be caused by the personality of the perpetrator himself; the factor of the victim being dependent on his partner, the victim being dependent on the perpetrator, the perpetrator naturally feels that whatever the perpetrator does will still be forgiven by the victim even if it is an act of violence; the influence of the family environment, when children witness aggression perpetrated by their parents, this can increase the likelihood of dating violence perpetrated by that individual; social influence, that being friends with friends who are often involved in violence can increase the risk of being involved in violence because there is the influence of social characteristics and motivation to commit violence itself; The influence of the place where violence occurs, the environment where violence occurs, which is mostly carried out in closed and quiet places, is a driving factor for this violence to continue to occur because the situation and conditions allow for violence to occur and the factor of gender inequality, violence in dating where the victims are more women, this is related to socio-cultural aspects that instill gender roles that differentiate men and women.

This study examines the impact of audit lag, audit quality, prior audit opinion, opinion shopping, and audit client tenure on the going concern audit opinion of Consumer & Cyclical sector companies listed on the Indonesia Stock Exchange (IDX) during 2021–2023. A going concern audit opinion reflects the auditor's concerns about a company's ability to sustain operations in the future. The population consists of 163 companies, with 103 selected through purposive sampling, resulting in 309 data points over three years. This quantitative research relies on secondary data from independent audit reports available on the IDX. Logistic regression analysis, performed using SPSS 23.0, reveals that audit quality significantly and negatively influences the likelihood of a going concern audit opinion and prior audit opinions have a significant positive impact. Conversely, audit lag, opinion shopping, and audit client tenure do not significantly affect going concern audit opinions. These findings provide insights for auditors, regulators, and stakeholders regarding factors that influence auditors’ assessments of a company’s financial stability in the Consumer & Cyclical sector.

This study aims to investigate the identification, assessment, and control of operational risks in the travel industry, with a focus on PT Yuk Kita Tour. Direct observation and interview methods are used to identify the risks faced by the company. Risk assessment is conducted by considering the likelihood of occurrence and its impact on the company's operations, followed by appropriate mitigation strategies. The analysis results show that risks such as online booking system disruptions, lack of staff training, currency exchange rate fluctuations, regulatory changes, natural disasters, disease outbreaks, transportation delays, and terrorism threats affect operational efficiency and customer satisfaction.To control these risks, PT Yuk Kita Tour implements a comprehensive mitigation strategy, including improved cybersecurity systems, staff training programs, currency hedging strategies, active regulatory monitoring, travel insurance, strict health policies, cooperation with transportation operators, and clear security information to customers. The implementation of these risk control strategies has had a positive impact on the company's performance, with year-on-year increases in revenue and customer satisfaction. This study provides insights into the importance of operational risk management in the travel industry and demonstrates that a proactive approach to risk identification, assessment, and control is possible. This study provides insight into the importance of operational risk management in the travel industry and demonstrates that a proactive approach to risk identification, assessment, and control can improve operational efficiency and customer satisfaction. The practical implication of this study is the importance of continuously monitoring existing risks, adapting control strategies, and involving stakeholders in risk management to ensure sustainable business continuity and superior customer service in a dynamic business environment.

This research utilizes the Markov Chain method to analyze daily weather data in the city of Medan. The main objective of this study is to forecast weather changes in the future based on the weather conditions of the previous day. Daily weather data was collected from the nearest weather station over a specific period of time. The analysis results indicate that the Markov Chain model provides good estimates of the likelihood of weather changes from one day to the next. The steady state probabilities demonstrate the dominance of partly cloudy and clear weather in the long term. This research provides valuable insights for various sectors related to weather, such as agriculture, transportation, and tourism.