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This study aims to analyze the impact of workload and work environment on reducing medication error through the use of technology as an intervening variable in the Inpatient Pharmacy Depot of RSUD Kota Bogor. Medication error refers to errors in the medication process that can endanger patients, and this research examines how workload, work environment, and technology influence such errors. The research method employed is quantitative, using a survey approach with questionnaires distributed to 30 pharmaceutical staff at the Inpatient Pharmacy Depot of RSUD Kota Bogor. Data analysis was conducted using the Partial Least Square (PLS) method. The results show that workload has a significant effect on medication error. The higher the workload, the greater the risk of medication errors. However, workload does not have a significant impact on the use of technology. On the other hand, the work environment does not significantly affect medication error, but it does have a significant influence on the use of technology. Technology, in turn, does not significantly reduce medication error and does not mediate the relationship between workload or work environment and medication error.Based on these findings, it is recommended that the management of RSUD Kota Bogor improves workload management and optimizes the use of technology by providing better training to pharmaceutical staff. Additionally, efforts should be made to enhance the work environment to better support the implementation of technology in reducing medication errors and improving patient safety.

The study was to describe the nutritional status of participants in the Integrated Development Post for Non-Communicable Diseases. The method used was descriptive quantitative with 35 respondents. Respondents were measured anthropometrically including weight, height, waist circumference and body mass index (BMI) then descriptive analysis was carried out using SPSS. The results showed that respondents who had BMI in the obesity category were 15 (42.90%), normal 14 (40%) and obese 6 (17.10%) and based on the measurement of waist circumference, respondents who experienced central obesity were 30 (85.70%) and not central obesity were 5 (14.30%). Conclusion: Maintaining nutritional status is very beneficial because someone who is overweight is at risk of experiencing several diseases such as hypertension, diabetes mellitus and heart disease.

This study aims to determine the relationship between characteristics and maternal knowledge about stimulation of soft motor development in children aged 3-5 years in Mireuk Lamredeup Village. The research design used was observational with a cross-sectional approach. The sample was selected using a purposive sampling technique with a total sample of 52 respondents. Data collection techniques use questionnaires with knowledge questionnaire instruments and Pre-Developmental Screening Questionnaires (KPSP). Data analysis techniques use univariate and bivariate tests. The results of hypothesis testing using Chi Square obtained a sig value. calculate the mother's characteristics, namely education level (p= 0.005), age (p= 0.015), and mother's knowledge (p= 0.029). Based on the results of the hypothesis test, it was concluded: 1) there is a significant relationship between Mother’s age on the soft motor development of children aged 3-5 years; 2) there is a significant relationship between Mother’s education on the soft motor development of children aged 3-5 years; and 3) there is a significant relationship between mother's knowledge and the soft motor development of children aged 3-5 years.

The percentage of pregnant women chronic energy deficiency in Indonesia is 9.7%, in Lampung Province it is 13.62%. The prevalence of chronic energy deficiency risk for pregnant women in Bandar Lampung is 17.36% and for non-pregnant women is 17.02%. One of the causes of malnutrition in pregnant women is the lack of knowledge of mothers about nutritious foods during pregnancy. The purpose of the study is to determine the influence of video-based nutrition education on pregnant women's knowledge about pregnant women's nutrition in Sinar Pasemah Village. Experimental quasi research design designed by Two Group Pre-Post Test with Control Group Design. The population is 46 pregnant women. A total of 46 samples were selected with a total sampling, consisting of 23 respondents from the video group and 23 respondents from the lecture group. Univariate data analysis with frequency distribution tables, Bivariate analysis with Wilcoxon test and Mann Whitney test. The average knowledge of pregnancy nutrition before video-based education was 63.26 and the average knowledge of pregnancy nutrition after video-based education was 78.48 with ap value of 0.000. Meanwhile, the average knowledge of pregnancy nutrition before lecture education was 63.04 and the average knowledge of pregnancy nutrition after lecture education was 74.57 with ap value of 0.000. The results of the Mann Whitney test were obtained 0.020. There is an influence of video-based education and lecture education on pregnancy nutrition knowledge and there is a difference in the influence of video education and lecture education on pregnancy nutrition knowledge in pregnant women in Sinar Pasemah village.

In the digital era, the utilization of information technology has become a primary need to support various aspects of education. One of the innovations implemented in educational institutions is the use of e-learning platforms, which allow learners to study flexibly without being hindered by distance and time. Universitas Amikom Purwokerto has developed the E-Learning Support System (ELLS) website as an online learning tool accessible by students and lecturers. This study aims to analyze the service management of ELLS using the ITIL V3 framework, which provides a structured guide in managing and optimizing services to better meet user needs in a sustainable manner. The methodology used includes observation, interviews, and surveys distributed to service users. The results show that the implementation of ITIL V3 can improve service effectiveness, reduce the risk of disruptions, and provide a positive experience for users. This research is expected to provide recommendations for improving e-learning service management at Universitas Amikom Purwokerto and serve as a reference for other educational institutions looking to enhance the quality of their services.

This community service activity aims to strengthen civil society organizations (CSOs) in the efforts to eliminate AIDS, tuberculosis (TB), and malaria (ATM), as well as to enhance disaster resilience in Serdang Bedagai Regency. Through a participatory approach, the program involves local communities in outreach, training, and the development of CSO networks focused on health issues and disaster mitigation. The activities began with an analysis of the community health situation and needs assessment, followed by education on the prevention of infectious diseases and disaster risk management. The results of the program implementation indicate an increase in community awareness regarding the importance of health and disaster preparedness, as well as the establishment of stronger collaboration among various community elements. By empowering CSOs, it is expected that a healthier and more resilient environment will be created, thereby reducing the impact of infectious diseases and natural disasters. This program not only provides direct benefits to the community but also builds sustainable local capacity to face future health and disaster challenges.

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.

Measuring performance solely by relying on returns is probably not enough, it is important to consider both returns and risks. Some measurement methods that consider both of these factors are the Sharpe Ratio index, Treynor Ratio, Jensen Alpha, and Information Ratio. Risk analysis using Value at Risk Monte Carlo simulation is also important to determine the potential for extreme risks. The purpose of this study is to provide a good understanding of the performance and risk of mutual fund investments. Based on the performance results, Schroder is the most superior mutual fund, with the highest Information Ratio, Sharpe Ratio, and Jensen Ratio, indicating that they are able to generate good returns considering the risks taken. However, Schroder also has the highest VaR, meaning it has the potential for large losses in the worst market conditions. On the other hand, MNC is at the bottom in almost all performance methods, indicating poor performance with low returns and lower risks.

Conventional methods in Mine Countermeasures operations are becoming increasingly ineffective in today’s world, especially due to the increasingly complex challenges in mine detection, classification, and neutralization. The use of Unmanned Underwater Vehicles (UUVs) has been identified as a potential solution to address these issues. This study aims to evaluate the potential use of UUVs in improving the effectiveness and safety of TPR. Through data collection and comparative analysis, the results of the study indicate that UUVs have significant potential in reducing the risk to human personnel, improving the accuracy of mine detection, and increasing overall operational efficiency. UUVs can operate in hazardous environments without putting human personnel at direct risk, and the advanced technology applied to UUVs allows for higher precision mine detection and classification compared to conventional methods. Practical implications of these findings include increased efficacy and safety in TPR, making UUVs an effective tool in improving the effectiveness and safety of naval mine countermeasures. Thus, this study contributes to the use of UUVs as an effective tool in improving the effectiveness and safety of mine countermeasures.

The purpose of this study is to develop a predictive model to predict the trend of the emas price over time and to investigate how this affects important economic variables. As a popular commodity that is regarded as a safe refuge for investments, changes in the price of emas can have a significant impact on a number of economic indicators, such as inflation, consumer spending, and investment decisions. Compiling historical data on emas prices, macroeconomic variables, and other related topics is a component of research methodology. Regression analysis and ARIMA modeling are two methods of deret waktu analysis that can be used to create an andal model of problems. The model's predictive accuracy is then determined by using appropriate statistical metrics. This study's findings provide new and important information about the factors influencing changes in the price of emas and how they affect the economy as a whole. The model that is being used can be used by investors, financial institutions, and policymakers to predict gold price movements and make informed decisions to mitigate risks and capitalize on opportunities. The implications of this research extend all the way to the emas market since it increases our understanding of the close relationship between commodity prices and economic dynamics. The knowledge gained can help create more comprehensive investment and economic policies, which will eventually affect the stability of the economy and economic growth.

This research aims to identify the fundamental differences between investment and online gambling, as well as their impacts on society. The method employed is a qualitative approach with descriptive analysis through interviews with financial experts and surveys of the public to measure their understanding of both activities. The results indicate that many individuals still perceive investment as a form of gambling despite the fact that they possess distinct characteristics; investment is conducted based on analysis and long-term strategies, while online gambling is speculative and high-risk in nature. The conclusion of this study emphasizes the importance of financial literacy education in enhancing public understanding and preventing financial losses due to online gambling practices.

In the midst of increasingly rapid technological developments, Artificial Intelligence (AI) technology has also been formed as a form of development. The presence of AI technology helps many people complete their work. Including strategic activities in the decision-making process for business development. This research aims to discuss the role of artificial intelligence technology in improving decision making in the business development process by focusing on the Management Information Systems (SIM), Micro, Small and Medium Enterprises (MSMEs), and finance sectors. With a literature review used as a comprehensive research method, it involves collecting and analyzing articles related to the topic from various academic sources. The research results show that Artificial Intelligence (AI) can improve the efficiency and accuracy of decision making through in-depth analysis and algorithm-based predictions. In the Management Information Systems (MIS) sector, artificial intelligence contributes to business automation processes and information management, in the MSME sector, artificial intelligence helps in understanding consumer behavior and market trends. Meanwhile, in the financial sector, AI plays an important role as a risk analyst, financial manager and investment manager. This research is expected to provide knowledge for corporate organizations about the role of artificial intelligence technology in improving the decision-making process.

The safety of the Dopper Exercise carried out in the Marine Corps Command Education in terms of personnel, materials, and the Dopper field itself is still considered lacking. Although there have been many evaluations and improvements that have been carried out, it would be better if the Dopper Exercise was optimized in terms of safety because Dopper is not an exercise that can be considered a joke. In the implementation of Dopper itself, using live ammunition which if there is the slightest mistake will have fatal consequences. This qualitative study uses a risk analysis method to find out what shortcomings still exist in the current Dopper Exercise. This study also suggests that some of the current Dopper shortcomings be evaluated immediately to prevent accidents.

Delivery assistance is a delivery service process that starts from stage I to stage IV of delivery. The achievementcofcmaternal healthc effortsc isc measured through the indicator of the percentage of deliveries assisted by qualified health workers (Ministry of Health of the Republic of Indonesia 2015).Based on the description above, the problem discussed in this research is: to determine the effect of counterpressure massage techniques to reduce labor pain in active phase first stage mothers at Darul Aman Community Health Center, East Aceh. The type of research used is quasi-experimental with a pre-test design and post test control group design, cause or risk and effect variables or cases that occur in the research object are measured or collected simultaneously (at the same time) (Notoatmodjo, 2012) Darul Aman East Aceh Community Health Center is a BPJS Health First Level Health Facility in Aceh Tkmur Regency whose address is Jalan Medan, Gp Kuede Village, Darul Aman District, East Aceh Regency, NAD. The Darul Aman Health Center in East Aceh has the Motto: SIMPATI, namely Smiling and Greeting, Informative, Serving, Professional, Accountable, Transparent, Sincere. Based on the results of the analysis and discussion of research results, conclusions can be drawn regarding the effect of massage techniques to reduce labor pain at the Darul Aman Community Health Center, East Aceh. 1. The level of labor pain before the counterpesure massage was performed, all respondents experienced severe pain. 2. The level of labor pain after the counterpesure massage was performed. Most of the respondents experienced moderate pain. 3. There was an effect of using massage techniques to reduce labor pain in mothers during the first stage of the active phase.

In this research, a semiotic analysis of the Apple commercial version of "Privacy on iPhone - Data Auction" is carried out using the Roland Barthes model. Also this research uses descriptive qualitative methods with data collection techniques of interviews and documentation studies. The purpose of this research is to find out the representation of personal data protection in the advertisement by analyzing the meaning of denotation, connotation and myth. The results of the analysis show that this advertisement clearly illustrates the risks that will occur to the personal data of smartphone owners and users if the data can be accessed easily by irresponsible parties. This commercial also proves the truth of the myth widely circulated in society that Apple devices are more secure than other brands. Apple wants to emphasize that they attach great importance to and care about the confidentiality and security of the personal data of Apple users. Therefore, Apple strives to provide security guarantees and personal data protection on its products so that Apple customers feel comfortable and confident that their data is safe.

The impact of landslides causes a lack of confidence and confidence in the community, so that preparedness and self-efficacy are needed when faced with critical problems such as disasters. This study aims to determine the relationship between self-efficacy and community preparedness in dealing with landslides. Individuals who have high self-efficacy tend to feel confident and confident when preparing for disaster threats, even though the threat of the disaster is a threat. who bears the risk. The sample of this study was 177 respondents and the sampling technique used was purposive sampling. Data collection in the study used a questionnaire, namely preparedness and self-efficacy. Questionnaires were used to analyze demographic characteristics, preparedness, and self-efficacy. The results showed that the majority were average (92.7) adult age male (55.4%). The level of preparedness in the high category is (63.8%) and self-efficacy is (57.1%). Bivariate analysis showed that there was a significant relationship between preparedness and self-efficacy 0.000 (p < 0.05). The strength of the correlation coefficient in the criteria is sufficient (r=0.380). Researchers suggest that the community participation in landslide disaster preparation is supported by good self-efficacy for preparation for landslides in order to reduce disaster risks such as fatalities.  

The background of this study is based on the challenges currently being faced by the Indonesian financial sector in terms of transparency and trust. Various cases that often occur such as data manipulation, fraud, and lack of accountability in the financial transaction process have drastically reduced public trust in financial institutions. Blockchain technology here is present as one of the potential solutions to overcome this problem, by offering a decentralized, transparent, and immutable financial recording system. This study aims to analyze the implementation of blockchain technology in increasing transparency and trust in the Indonesian financial sector. The research method used is qualitative with the Systematic Literature Review (SLR) approach. This research was conducted by collecting and analyzing relevant literature related to the implementation of blockchain in the financial sector, especially in Indonesia. The analysis process was carried out using the content analysis method in order to identify the benefits, challenges, and impacts of blockchain implementation on transparency and public trust. The results of the study show that blockchain has great potential in increasing transparency in the financial sector, by reducing the risk of data manipulation and increasing operational efficiency. However, several challenges are still faced, such as inadequate regulations, uneven technological infrastructure, and low digital literacy in the community. This study emphasizes the need for collaboration between the government, financial institutions, and the community to create an ecosystem that supports the widespread adoption of blockchain technology. With a collaborative approach, blockchain is expected to contribute significantly to strengthening a more transparent, accountable, and highly competitive financial ecosystem in the future. In addition, this study provides an understanding of the readiness of the Indonesian financial sector in facing technological changes and innovation opportunities in the future.

Implementation of patient safety goals in hospitals is a form of hospital assessment in managing patient safety programs and the quality of services provided by hospitals to patients must ensure that patients are not involved in detrimental risks. Hospitals must implement a safety culture to make patient care safer. Attitudes and pharmacovigilance as well as the need to implement patient safety is the basis for the formation of compliance behavior in implementing patient safety goals. Based on the considerations above, it is very important to analyze the influence of attitudes and pharmacovigilance on the implementation of patient safety as well as safety culture targets as intervening variables. The research method used in this research is quantitative causality research with a cross-sectional research design approach with the aim of examining the influence of attitudes and pharmacovigilance on the implementation of patient safety goals which are mediated by patient safety and strengthened by the existence of a safety culture in the hospital. The samples used in this research were nurses, namely regular and executive inpatient units. The analysis technique used is the Structural Equation Modeling (SEM) technique where statistical data processing uses the Smart PLS program. The results of the study found that attitude and pharmacovigilance had a significant effect on the implementation of patient safety goals, indicating that there was a strong relationship between pharmacovigilance and the implementation of patient safety goals. Attitudes, pharmacovigilance, and safety culture together have a significant influence on the implementation of patient safety goals. Having a good level of understanding of pharmacovigilance and a good attitude have a good safety culture will increase the implementation of patient safety.

CV. Aren Jaya is an AC service provider located in South Tangerang. In 2017 this shop began to develop by opening new and used AC sales services, AC installation services, used washing machine sales services and washing machine service services. In carrying out the company's business process activities, of course there will always be possible risks and potential risks that can threaten and disrupt business process activities. The need for a risk analysis of existing IS/IT resources in the company, using the ISO 31000:2018 method related to risk management. The purpose of this study is to minimize all possible risks that are currently being experienced or will also occur and provide appropriate recommendations regarding risks that may occur at any time. The research method used in the risk analysis uses the ISO 31000:2018 framework. The results of this risk analysis are in the form of an analysis of the possibility of existing risks, evaluations and risk mitigation plans so that they can produce improvements to existing risks. The final result of the research produces risk recommendations, so the company can adjust to the priorities of the existing risk level, so that it does not interfere with business activities at CV. Arena Jaya.  

Security of electronic medical records (EMR) data is very important in maintaining the confidentiality, integrity, and availability of sensitive patient information. This study aims to conduct a security analysis of the EMR application used at UPTD RSD Besemah Pagar Alam City using the Penetration Testing method. This method is carried out to identify, exploit, and provide solutions to potential vulnerabilities in the EMR application system. Penetration Testing is carried out through several stages, namely information collection, scanning, exploitation, and post-exploitation, using tools such as Nmap, and OWASP ZAP. The results of the study showed several vulnerabilities in the application, including SQL Injection, Cross-Site Scripting (XSS), and weaknesses in authentication management that could allow unauthorized access to patient data. In addition, exposure to sensitive data that was not properly protected was also found. Based on the results of this test, several recommendations were made to improve system security, such as updating security patches, implementing encryption on all sensitive data. By implementing the recommended mitigation steps, the security of the EMR system at UPTD RSD Besemah is expected to be significantly improved, so that the risk of data leakage can be minimized. This research provides a real contribution in strengthening the security of electronic medical record applications. and is expected to be a reference in improving security systems in other health care institutions.