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The SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis is widely known and commonly applied in business strategy. CV Dejeefish was chosen for this SWOT analysis to help develop the company’s business strategy. The objective of this study is to identify the impact of SWOT analysis on business development and to uncover weaknesses, obstacles, and areas for improvement that could enhance the company’s efficiency, quality, and sustainability. The findings indicate that CV Dejeefish is in a relatively strong position, with more strengths than weaknesses and threats. However, CV Dejeefish still needs to implement a combination of SWOT-based business strategies and a SWOT Matrix. Firstly, in the SO (Strengths-Opportunities) strategy, the company can leverage high-quality broodstock from BBAT to expand its market, adopt the latest technology in aquaculture, and develop value-added products. Secondly, in the WO (Weaknesses-Opportunities) strategy, expanding the use of aquaculture technology and improving responsiveness to climate change and market conditions is strongly recommended. For the ST (Strengths-Threats) strategy, a focus on strict quality control, risk mitigation, and maintaining adequate capital reserves is necessary to address potential threats. Lastly, the WT (Weaknesses-Threats) strategy should involve implementing effective monitoring systems, building strong relationships with stakeholders, and conducting regular evaluations.

The use of Artificial Neural Networks (JST) for weather prediction is one of the innovative approaches in climate data analysis. This study aims to apply JST in predicting weather, especially rainfall and the number of rainy days in the North Sumatra region. Historical weather data obtained from BMKG Region I for 2022-2023 is used as input to train the JST model. With a training process that involves processing rainfall data, this model is expected to provide accurate predictions regarding weather patterns. The results of this research can help in agricultural sector planning, disaster risk mitigation, and natural resource management. JST has proven to be effective in identifying dynamic and complex weather patterns, so it has the potential to be used in long-term weather prediction.

According to WHO, 13 million toddlers in the world die every year and most of these deaths occur in developing countries. Riskesdas data (2018), the prevalence of ARI in Indonesia ranks first as a disease with the highest number of cases of 60,126 people. ARI prevention efforts can be done by providing health education about ARI to mothers who have toddlers at the integrated health post. Uses a one group pre-test post-test design. The intervention of this study was through health education with animated video media. This study was conducted at the integrated health post in Melur Loa Janan Ilir. Respondents in this study were 30 mothers who had toddlers who were confused with the total sampling technique. Data collection was done by filling out questionnaires. Data analysis using the Wilcoxon test. This study shows that there is an effect of knowledge after being given the Wilcoxon test intervention p-value 0.000. and attitudes after being given test intervention p-value 0.001. There is a significant effect on the knowledge and attitudes of respondents between before and after being given the research intervention using animated video media.

Background: Hypertensive Disease in Pregnancy (HDK) is a vascular disorder that occurs during pregnancy, arises during pregnancy or in the postpartum periode, and is one of the most common causes of maternal death. Objective: this study was to determine how factors of having a history of hypertension, obesity, and using hormonal birth control impact the incidence of hypertension Disease in pregnancy (HDK). Metodes: the research approach used was analytic observation with a croos sectional design. This study involved 332 pregnant women who come to the Health Center. A sampel random sampling technique, with a sample size of 183 was used. In this study, the independent variables were history of hypertension, obesity, and hormonal birth control use; the incidence of HDK was the dependent variable. Data was collected using a documention study approach with an observation sheets. To analyse the data, a logistic regression statistical test was used with an error rate of α 0.05. The results showed that pregnant women with HDK were exposed to hypertension 45.6%, and hormonal birth control by 36.3%. The result of bivariate analysis of hypertension history with HDK is o.o1 < α 0.05, and the variable of obesity with HDK is 0.024 < α 0.05 and the variable of hormonal birth control history with HDK is 0.21% < α 0.05. The conclusion of the results showed that of the three factors contributing to the incidence of HDK, only the history of hypertension and obesity had a significant influence, with a history of hypertension accounting for 9.9% of HDK cases. Therefore, it is recommended that Strengthing Integrated Antenatal care for increasing the role of mindwives and general practitioners in better screening of pregnant women at risk.

The author analyzes Sampang Regent Regulation Number 27 of 2021 concerning Guidelines for Candidacy, Election, Appointment, Inauguration, and Dismissal of Village Heads, focusing on ambiguity regarding the dismissal of Acting Village Heads. Currently, around 50 villages in Sampang Regency are led by Pj. Kades who are being evaluated, but the regulation does not contain clear provisions regarding their dismissal. This creates legal uncertainty and potential turmoil in society. The author uses a normative method with case studies based on primary and secondary legal materials, such as the relevant Regent Regulation. The results of the analysis show that the lack of clarity in the rules for the dismissal of the Acting Village Head poses a risk of abuse of power and politicization, especially because the evaluation results are not transparent. Therefore, it is necessary to revise the Regent Regulation to provide a clear legal basis for the dismissal of the Acting Village Head, in order to create legal certainty in the village government in Sampang Regency.

A film poster functions as a visual communication tool that has an influence on the initial perception of the audience. The elements contained in the poster help the audience understand the message conveyed through a film. This research analyses the movie poster “Exit” using Ferdinand de Saussure's semiotic approach, which divides the sign into two parts, namely signifier and signified. The method used in this research is descriptive qualitative, where this research uses data sources consisting of secondary data and primary data. The researcher describes the elements of the poster in detail, both visual appearance and verbal text, then conducts interpretative analysis. The data obtained were grouped based on the meaning of visual signs, verbal signs, and image signs in the film poster. The results show that the film poster ‘Exit’  is effective in utilising visual elements to provide a clear initial description of the film's theme and attract the audience's attention. The dynamic incorporation of visual elements and the appropriate use of text on this poster successfully communicate the genre, theme, and atmosphere of the film. Thus, this poster not only functions as a promotional tool but also as a medium that shapes the audience's perception of the film.

Islamic banking financing has become a crucial component of Indonesia's financial sector, providing a Sharia-compliant alternative to conventional financing. Despite its rapid growth, assessing the feasibility of Islamic banking financing remains a major challenge, particularly in terms of risk management, financial sustainability, and regulatory compliance. Previous studies have assessed financing feasibility using various methods, including the 5C approach (Character, Capacity, Capital, Collateral, and Conditions). However, research in this area remains fragmented, with a lack of systematic analysis of key trends, methodologies, and influencing factors. This study uses a Systematic Literature Review (SLR) to synthesize and analyze existing research on the feasibility of Islamic banking financing in Indonesia. The review covers studies published between 2020 and 2022, focusing on research distribution, analytical techniques, and key determinants affecting financing feasibility. The findings reveal that most studies emphasize credit risk assessment, financial literacy, and regulatory frameworks, but lack a unified approach to measuring feasibility. Furthermore, this study highlights gaps in the application of digital technologies, such as big data and machine learning, that can be used to strengthen the financing eligibility assessment system. The application of these technologies not only improves the accuracy of risk predictions but also enables Islamic banking institutions to reach more customers, particularly MSMEs and the informal sector, which have historically been underserved. The results of this study provide valuable insights for Islamic financial institutions, regulators, and researchers, highlighting the need for integrated risk assessment models, a better regulatory framework, and enhanced financial literacy initiatives to strengthen Islamic banking financing in Indonesia. This research contributes to the development of a more structured and comprehensive framework for evaluating financing eligibility, ensuring sustainable growth and financial inclusion in the Islamic banking sector.

In an increasingly interconnected world, computer networks play a crucial role in business operations. This research focuses on the analysis of the client-server network system at PT. XYZ, which shares a building with several other companies. The objective is to evaluate the current network infrastructure, identify potential issues, and propose improvements to enhance performance and security. A qualitative approach was employed, utilizing case study methods, interviews, and observations to gather in-depth data on the network's configuration, IP address management, and security measures. The findings indicate that while the existing network functions adequately, there are significant risks associated with user access rights and the need for regular maintenance. The implications of this study suggest that implementing stricter security policies and upgrading bandwidth could mitigate risks and improve overall network reliability, thereby supporting business productivity.

Researchers argues that large language models are critical to the advancement of artificial intelligence and will play a vital role in future progress. Despite criticism and occasional bans, these models are persistent and poised to continue. This analysis delves into the potential benefits and challenges of utilising extensive language models in education, considering perspectives from both students and educators. These models' current status and applications are briefly reviewed, emphasising their use in generating educational material, increasing student engagement, and personalising learning experiences. The discussed challenges include the need for educators and students to develop skills and literacies to understand and navigate the technology and its limitations. Employing a strategic and pedagogical approach that stresses critical thinking and fact-checking is a crucial component of effectively integrating these models into educational institutions. AI applications in education often encounter additional challenges, including potential biases, the necessity for ongoing human oversight, and the risks of misuse. However, these challenges may present educational opportunities for students to become familiar with social biases, complexities, and risks associated with AI. The essay presents solutions for effectively addressing these challenges to ensure the responsible and ethical use of large language models in education.

Background: Infants born with Low Birth Weight (LBW) are a significant factor contributing to stunting in children under five. Therefore, a system is needed for early detection of LBW. To develop an accurate system, accurate variables are necessary. Descriptive research on the determinants of LBW based on maternal history is crucial. Objective: To identify the determinants of LBW from maternal history as a basis for developing Fuzzy Logic Method technology. Method: This quantitative study employs a descriptive analytic approach. Results: SPSS data analysis indicates a relationship between LBW and gestational age (p-value: 0.001), parity (p-value: 0.008), Mid-Upper Arm Circumference (MUAC) (p-value: 0.758), hemoglobin levels (p-value: 0.021), and pregnancy risk (p-value: 0.001). Conclusion: The independent variables significantly associated with LBW are gestational age, parity, anemia status from hemoglobin data, and pregnancy risk status. Conversely, MUAC is not significantly associated with LBW.

Background: The National Health Insurance Program helps patients pay for medical expenses and provides financial protection against unexpected health risks. INA-CBG system is used for healthcare payments, where the payment is determined based on type of disease the patient has. However, the rates set by INA-CBG are lower than hospital rates, causing financial losses and affecting the quality of service. Purpose: This research aims to compare rates to maintain hospital financial balance and fair access to services. Method: This study uses comparative quantitative research method with cross-sectional approach. The research was conducted at Rumah Sakit Islam Jakarta Sukapura. The sampling technique used was saturated sampling, with a sample of 374 claim data for type II diabetes mellitus patients from October to December 2023. Data were taken from Zi-Care system, which has been bridged with INA-CBG. The data collection tool used was a checklist. The analysis techniques included univariate and bivariate analysis using Wilcoxon Signed Rank Test. Results: The research results show that the total hospital cost is Rp265,805,506, with the highest value being Rp2,746,407 and the lowest value being Rp161,000. The total INA-CBG cost is Rp73,341,400. P-value of 0.0001 indicates a significant difference between both variables. Conclusion: The difference in rates resulted in the hospital experiencing a loss of IDR 192,464,106. Hospitals need to refer drug collection to external pharmacies, and BPJS must evaluate INA-CBG rates to match hospital expenditure to prevent losses.

This study is motivated by the issue of criminalizing drug couriers, who in judicial practice are often equated with the main perpetrators, even though in reality they occupy a subordinate position in the drug distribution network. The lack of clarity in the differentiation of roles in Law No. 35 of 2009 on Narcotics has led to the application of criminal liability that tends to be formalistic and has the potential to disregard substantive justice. This study aims to analyze the form of criminal liability of Class I drug couriers and assess whether the Pekanbaru District Court Decision Number 119/Pid.Sus/2025/PN Pbr has reflected justice in the imposition of criminal penalties. The research method used is normative juridical with a legislative approach, case approach, and conceptual approach. The results of the study show that the criminal liability imposed on couriers in the verdict is direct as the main perpetrator, without considering the theory of the perpetrator's role, degree of fault, and the defendant's capacity to be held responsible. The judge emphasized the fulfillment of the elements of the act as formulated in Article 114 of Law Number 35 of 2009 concerning Narcotics, without adequate analysis of the mens rea and the factual contribution of the courier in the structure of the crime. Justice in this study is understood as substantive justice, which requires consistency between the punishment, role, and degree of fault of the perpetrator. Proportional punishment is interpreted as the imposition of sanctions that clearly distinguish between couriers as subordinate actors and the main actors who control the narcotics network. This study concludes that the criminal liability of narcotics couriers must be based on individualization of punishment and proportionality so that law enforcement not only fulfills legal certainty but also reflects substantive justice.  

Background: Prevalence of obese adolescents in Indonesia has increased every year. In 2018, Indonesian adolescents suffering from obesity reached 8.8%. One of the causes of the increasing problem is an imbalance in nutritional intake. Sweet snacks and fatty snacks are popular snacks among adolescents. This snacking habit can risk the incidence of obesity in adolescents. Obesity in adolescents can have various negative impacts on adolescents, both in terms of health, and in terms of mental health which will also affect adulthood. Purpose: This study was to determine the relationship between the habit of consuming sweet snacks and fatty snacks with the nutritional status of adolescents at SMAN 18 Bekasi City. Methods: This study used analytic observational method with cross sectional design conducted at SMAN 18 Bekasi City. The sample of this study amounted to 100 respondents who were taken by consecutive sampling method. Data were collected using a 24-hour food recall questionnaire and analyzed using fisher's exact statistical test. Results: Based on the results of the analysis, the p-value of the variable consumption habits of sweet snacks with nutritional status is 0.771 (p>0.05) with OR 0.744 and the p-value of the variable consumption habits of fatty snacks with nutritional status is 1.000 (p>0.05) with OR 0.948. Conclusion: There is no significant relationship between consumption habits of sweet snacks and fatty snacks with nutritional status among adolescents at SMAN 18 Bekasi City.

Drought is a hydrometeorological disaster that significantly affects water availability and agricultural activities. Pesisir Selatan Regency has diverse topographic conditions that influence the level of vulnerability to drought, thereby requiring a comprehensive spatial analysis. This study aims to map drought risk by integrating slope steepness with other biophysical parameters using Geographic Information Systems (GIS). The data employed include slope maps derived from DEMNAS, rainfall data (CHIRPS 2024), soil types, land use, and river networks. The analysis was conducted through scoring and overlay methods to produce a drought risk map. The results indicate that areas with very steep slopes (>45%) have a high level of vulnerability due to surface runoff dominance and low infiltration capacity, particularly in Bayang Utara District. In contrast, flat to gently sloping areas dominated by rice fields and forest cover are relatively low-risk. Overall, drought risk in the region is classified into three categories: low, medium, and high. The resulting maps can serve as a basis for local governments in developing spatial planning policies, water conservation infrastructure, and disaster mitigation strategies that are more adaptive and sustainable.

The use of AI is seen as aiding the learning process, and students have used AI for various purposes in their coursework. This article aims to investigate the impact of AI use on their innovation and creativity, as well as the possibility of AI replacing lecturers. A qualitative study was conducted with 53 student respondents. Questions were asked about the definition of AI, the applications of AI they use, whether AI can enhance creativity and innovation, and whether AI will one day replace lecturers. The findings indicate that AI is artificial intelligence that serves as an aid in the student learning process. The majority of students use ChatGPT, and 37 students stated that AI can enhance their innovation and creativity by providing inspiration and initial ideas. AI is also a tool that accelerates the learning process and facilitates creative work, as well as AI as a means of developing skills such as critical reasoning and data analysis. However, the majority also stated that dependence on AI can actually reduce critical thinking and creativity. Regarding the role of lecturers, 41 students stated that AI cannot replace them. The implication of these findings is that AI can be used wisely while still being aware of its limitations and ethical use. The role of lecturers must be further enhanced to ensure that student learning processes address AI's limitations and allow students to further enhance their innovation and creativity, while simultaneously mitigating the associated risks.

This article discusses the development of an internal control system as an effort to overcome the risk of fraud in the company. Through in-depth analysis of existing policies, procedures and practices, this research identifies key elements that can strengthen organizational integrity. Using a case study approach, this article shows how implementing effective controls, employee training, and reporting mechanisms can increase transparency and accountability. The results of this research conclude that a comprehensive internal control system not only reduces the risk of corruption, but also encourages an ethical culture in the work environment, thereby supporting the company's sustainability and reputation.

Street children constitute a highly vulnerable population who spend most of their time in public spaces working in the informal sector and are at increased risk of engaging in deviant behaviours. Social support and resilience are recognised as key protective factors that may enable street children to adapt to adversity. This quantitative study employed a cross-sectional correlational design to examine the association between social support and resilience among street children in Semarang City, Indonesia. A total of 42 street children were recruited using accidental sampling. Data were collected using modified Likert-type questionnaires measuring social support (social embeddedness, enacted support, and perceived support) and resilience (emotion regulation, impulse control, causal analysis, self-efficacy, realistic optimism, empathy, and reaching out). Data were analysed using univariate statistics and Spearman’s rank correlation test. Most respondents reported moderate levels of social support (90.48%) and resilience (66.67%). Spearman’s test indicated a significant, positive, yet low correlation between social support and resilience (p = 0.014; r = 0.228). These findings suggest that higher social support is associated with greater resilience, although other internal and external factors are likely to contribute to resilience among street children.

Micro, Small and Medium Enterprises (MSMEs) play an important role in the economy, but often find obstacles in coping with risks and adjusting to market changes. Lack of knowledge and skills in risk management can affect the sustainability of a business, especially in the midst of increasingly complicated market changes. This community service activity aims to strengthen the ability of MSME human resources (HR) to manage risks and formulate strategies to adapt to changes in the market. This activity was carried out in Central Cikarang MSMEs using interactive training and mentoring methods. The material presented consisted of an introduction to business risks, strategies to reduce risks, and adjustment actions to changes in the market, which include aspects of technology, regulations, and consumption patterns. The method applied was a combination of theory and case analysis related to the situation of MSMEs in the area. The results of the activity showed that there was an increase in the participants' understanding and awareness of the significance of risk management to maintain business continuity. Participants also gained practical skills in recognizing risks and designing adaptation plans that are suitable for the business situation they face. Through this activity, it is hoped that MSMEs can become stronger in the face of market uncertainty and be able to grow sustainably.

Increasing age will reduce the physiological functions of the body including muscle mass. The ability to synthesize muscle protein decreases due to a reduction in the number of muscle fibers and a decrease in muscle fiber size. This results in the loss of neurons, reducing muscle strength capacity. Decreased muscle strength limits the daily activities of the elderly, such as difficulty walking, climbing stairs, and lifting weights. The purpose of this study was to determine the description of upper and lower extremity muscle strength of the elderly in Griya Asih Lawang nursing home, Malang Regency. This descriptive study used 30 populations with a sampling technique that is total sampling. The variable in this study is the strength of the upper and lower extremities of the elderly measured using Manual Muscule Testing. Univariate data analysis, then the data is presented in a frequency distribution table. This research was conducted in June 2023 at Griya Asih Lawang nursing home, Malang Regency. The results showed that more than half of the respondents as many as 18 people (60%) had moderate muscle strength in the upper extremities and less than half as many as 13 people (43.5%) had low muscle strength in the lower extremities, and less than half as many as 13 people (43.5%) also had moderate muscle strength in the lower extremities. Elderly gymnastics efforts to prevent early muscle decline. Providing the right walking aids as needed in daily activities can minimize the risk of falls. 

In the current era of globalization, information technology is developing rapidly. As for technology, which is equipment created to make human work easier, when achieving good progress in the work process of PT Plaza Auto Prima, it is absolutely necessary to have a technique that supports and provides satisfactory service for customers. Based on this, the author tries to analyze a method used when employees work in the Plaza Auto Prima environment regarding the work ergonomics they currently apply at PT Plaza Auto Prima, which to date has not seen any improvement. The method used is direct observation and assessment of work posture using the REBA method. The research subjects were mechanics who worked in the installation or removal of car wheels. The data obtained is analyzed to determine the REBA score and the level of risk faced by workers. The research results show that the mechanical work posture at PT Plaza Auto Prima (Toyota) Tendean has significant problems. Analysis using the REBA method produces a final score of 8, which indicates a high risk level and requires immediate improvement. Factors that contribute to this high risk include the lack of ideal work ergonomics and limited supporting equipment. This increases the risk of injury and illness to the worker's body in the future. After improvements were made by adding trolley service tools, the way of working became more ergonomic so that the REBA score dropped to 2, which shows that some of the movements carried out were in the safe category or did not cause muscle injuries in the future. Therefore, the presence of bodily abnormalities that arise from work cannot be separated from the existence of supporting equipment to facilitate the removal of certain parts so as not to cause abnormal bodily effects. Planning for the procurement of a particular tool needs to be done as soon as possible so that workers do not suffer the effects of bodily abnormalities. In this way, the author took analytical steps using the Rapid Entire Body Assessment (REBA) method, which is the best solution to solve the problems that exist in this company to support workers so they can work all the time without any complaints about their bodies.