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The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classification. A pre-trained MobileNetV2 network is employed as a fixed feature extractor to obtain discriminative visual representations, while Principal Component Analysis (PCA) is applied to reduce feature dimensionality by approximately 76%, retaining 95% of the original variance and improving computational efficiency. The compressed features are subsequently classified using a Radial Basis Function Support Vector Machine (RBF-SVM), optimized via grid search and cross-validation. Experiments conducted on a four-class maize leaf disease dataset (Northern Leaf Blight, Common Rust, Gray Leaf Spot, and Healthy), with class imbalance handled during training, demonstrate that the proposed MobileNetV2–PCA–SVM pipeline achieves 97.58% accuracy, 96.60% precision, 96.59% recall, and 96.59% F1-score, outperforming the DenseNet201 + Bayesian-optimized SVM baseline (94.60%, 94.40%, 94.40%, and 94.40%, respectively). This improvement corresponds to a 2.98% accuracy gain, a 55% reduction in error rate, an 86% reduction in model parameters (20.31M to 2.75M), and an 85% reduction in model size (81 MB to 12 MB). These results indicate that the proposed framework provides a compact and efficient solution with strong potential for deployment in resource-constrained agricultural environments.

Dementia is a progressive neurocognitive disorder often accompanied by behavioral and psychological symptoms such as agitation, anxiety, and depression. Pharmacological treatments provide only modest benefits while introducing significant risks, which highlights the need for safer, non-pharmacological alternatives. This literature review examines the role of virtual reality in dementia care, with a focus on its integration with therapies such as music, reminiscence, sensory stimulation, and cognitive training. Evidence from prior research suggests that virtual reality can enhance cognitive functions, reduce symptoms, and improve emotional well-being while also strengthening patient–caregiver interaction. However, challenges related to usability, accessibility, cost, and long-term effectiveness continue to limit adoption. Gaps in research, including limited cultural diversity, inconsistent reporting of intervention design, and a lack of large-scale longitudinal trials, emphasize the need for future work exploring cross-cultural feasibility and AI-driven personalization. Overall, virtual reality represents a promising and evolving non-pharmacological intervention that has the potential to transform dementia care by improving quality of life and reducing reliance on medication.

Early Warning Score (EWS) is early detection instrument for predicting severity or worsening of a patient's condition. Therefore, nurses' compliance with the assessment is crucial. The goal is to reduce the incidence of code blues in general care units. Code blue is a procedure code used for conditions where a victim is found to be at risk of cardiac arrest or respiratory arrest. Methods: This study is a quantitative analytical survey, a form of research that examines the effects and risk factors. The study design was cross-sectional, examining the dynamics of correlation between dependent and independent variables. The number of respondents in this study was 150, drawn from a total sampling of the nurse population in general care units. The data obtained were subjected to statistical analysis using a non-parametric Chi-Square test. Results: Respondents, based on their level of compliance with the EWSS monitoring form, were mostly in the compliant category (94%), and most had an impact on the absence of code blues (94%) in the emergency risk group. Conclusion: There is a significant relationship between nurses' compliance in monitoring the completion of the EWSS and the occurrence of code blue in inpatient rooms (P-Value <0.05).

Lifestyle changes, such as smoking habits, low physical activity, and suboptimal sleep patterns, have the potential to affect various health indicators. However, empirical evidence showing a direct link between lifestyle factors and objective health indicators still shows varying results. This study aims to analyze the relationship between lifestyle factors and health indicators in adult respondents, in an effort to provide an empirical picture of behavioral factors related to health conditions. This study used a quantitative approach with a cross-sectional observational analytic design. Data were obtained from 94 respondents who had complete lifestyle data and health examination results. Lifestyle factors analyzed included smoking habits, exercise frequency, and sleep duration, while health indicators included body mass index (BMI), systolic and diastolic blood pressure, blood sugar levels, cholesterol, uric acid, and pulse rate. Data analysis was performed using descriptive statistics, the Shapiro–Wilk normality test, and the Spearman correlation test according to the characteristics of the data distribution. The results showed that smoking habits were significantly associated with diastolic blood pressure (p < 0.05), exercise frequency was significantly associated with BMI and systolic blood pressure (p < 0.05), and sleep duration was significantly associated with uric acid levels (p < 0.05). Meanwhile, the relationship between lifestyle factors and other health indicators did not show statistical significance. These findings indicate that the influence of lifestyle on health is specific to certain indicators and is not evenly distributed across all health parameters. This study concludes that identifying lifestyle factors relevant to certain health indicators is important as a basis for formulating more targeted health promotion strategies.

This study examines the dynamic progression of Regional Original Revenue (PAD), the realization of Domestic Investment (PMDN), the size of the labor force, infrastructure availability, and their implications for economic growth across 11 regencies and municipalities in Jambi Province over the period 2017–2023. The analysis employs a panel data regression model, utilizing a combination of time-series and cross-sectional data sourced from Statistics Indonesia and the Regional Investment and One-Stop Integrated Services Office. The empirical findings reveal that PAD experienced a growth rate of 5.39 percent. In contrast, PMDN and the labor force displayed fluctuating patterns, with percentage changes of 905.97 percent and 1.68 percent, respectively. Infrastructure development and economic growth recorded increases of 0.51 percent and 4.04 percent. Further analysis demonstrates that PAD, labor force participation, and infrastructure exert a positive and statistically significant influence on economic growth. Conversely, PMDN does not exhibit a statistically significant effect on regional economic growth within the observed period.

This community service initiative aims to enhance the managerial capacity and digitalization skills of MSME owners in Mencirim Village, East Binjai. Initial observations revealed five structural issues: weak financial record-keeping, conventional marketing strategies, minimal use of social media for promotion, lack of brand identity, and limited understanding of pricing strategy. The methodology employed a Participatory Action Approach (PAA), encompassing needs identification, structured training, practical workshops, and six weeks of intensive mentoring for 25 MSME participants. Results indicate a substantial increase across all measured indicators: 84% of participants implemented simple bookkeeping, 76% actively used social media for promotion, 72% developed brand identities, and 80% demonstrated improved pricing strategies all surpassing the established targets. Wilcoxon Signed-Rank Test confirmed statistical significance (p < 0.05). The program also fostered entrepreneurial mindset shifts, the formation of local business networks, and the emergence of community-based local leaders. Continuous mentoring and cross-stakeholder collaboration are recommended to sustain long-term economic impact.

Hypertension is a major modifiable risk factor contributing to the development of Acute Coronary Syndrome (ACS), which includes STEMI, NSTEMI, and unstable angina. The increasing prevalence of hypertension worldwide raises concern regarding its impact on cardiovascular outcomes. This study aimed to describe the profile of ACS patients with hypertension receiving angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin receptor blockers (ARBs) therapy in the Intensive Coronary Care Unit (ICCU) of RSUD Dr. Soetomo Surabaya. Using a descriptive cross-sectional method, data from 91 patients treated between July 2021 and October 2024 were analyzed. Variables included demographic characteristics, clinical classification of ACS, hypertension degree, comorbidities, types and doses of ACEI/ARB administered. The results showed that most patients were male (73%) and aged over 65 years (40%). Chi-square analysis revealed no significant relationship between hypertension degree, ACS classification, or most comorbidities with drug selection or dosage (p>0.05), except for a significant association between coronary heart disease comorbidity and ARB selection. These findings suggest that in hypertensive ACS patients, the choice between ACEI and ARB therapy is predominantly based on individual comorbidity profiles rather than blood pressure severity or ACS type. The study highlights the importance of personalized treatment approaches considering patient comorbidities to optimize cardiovascular outcomes.

Introduction: Stroke is a neurological disorder characterized by blockage of blood vessels. Clots that form in the brain and interfere with blood flow, clog arteries and cause blood vessels to rupture, causing bleeding. The rupture of an artery leading to the brain due to a stroke results in the sudden death of brain cells due to lack of oxygen. Objective: The purpose of this study was to determine the relationship of sleep quality with blood pressure in stroke patients at Mitra Medika Tanjung Mulia Hospital Medan. Methods: The research design used in this study using analytical survey method with crosses sectional approach. The population in this study was all stroke patients who were in outpatient facilities at Mitra Medika Tanjung Mulia Hospital Medan, which amounted to 90 respondents. Sampling used is by means of purposivesampling sampling techniques by determining certain criteria. Results: Based on the results of analysis using The Chi-Square test showed a significant value of probability bawha (Asymmp.Sig) sleep quality is 0.033 or < SIG a value = 0.05. This proves that there is a relationship between sleep quality and blood pressure in stroke patients at Mitra Medika Tanjung Mulia Hospital Medan. Conclusion: there is a relationship of sleep quality with blood pressure in stroke patients at Mitra Medika Tanjung Mulia Hospital Medan in 2025.  

Software Defined Network is a popular computer network concept today because of the ease of managing network traffic with the control plane. Massive internet usage makes web server services on SDN networks overloaded. There are many load balancing concepts to overcome this problem, one of which is implementing the K-NN algorithm. This study aims to maximize the performance of the K-NN algorithm on SDN networks by optimizing the K value using Grid Search Cross Validation, and adding server status selection logic based on the smallest disk if the server status calculated by K-NN has the same. All implementations of the load balancing concept in this study were created virtually using Open vSwitch and virtualbox. Testing was carried out using CPU, MEMORY, and DISK parameters sent by the server with the help of the psutils component. JMeter software was used for testing by sending data using the POST method. The data type is text/plain with a data size of 1MB, testing was carried out in stages with threads 100, 200, 300, 400. The test results showed that the performance of the K-NN algorithm was running optimally. There was no significant difference in the distribution of the load to the server, this made the optimization and addition of logic successful.

The Preliminary study results indicate that 7 out of 10, or around 70% of production workers at PT Summi Adyawinsa Indonesia experienced a high workload. This research employed a quantitative descriptive method with a cross sectional study design. The sample consisted of 132 workers, selected using a non-probability sampling technique. The study was conducted from June to July 2025. Data were analyzed using univariate analysis and bivariate analysis with the chi-square test. Primary data were collected through questionnaires as the research instrument. The univariate results showed the highest proportions was hish workload (93,9%), long working hours (65,9%), short work period (66,7%), productive age (93,2%), male gender (93,9%), high wages (53%), and good work environment (94,7%). Bivariate results show a relationship between working hours (p value 0,019), and work period (p value 0,05) with workload. There is no association between age (p value 1,000), gender (p value 0,402), wages (p value 0,147), and work environment (p value 1,000) with workload. Workload Companies need to increase the number of employess, perform routine maintenance on machinery and heavy equipment (forklifts and hoist cranes), and provide training for both new and existing workers.

This study is based on the need to develop a more effective concentrate ration for lactating dairy cows, as existing formulations in the field are greatly influenced by the availability of ingredients and varying quality. Therefore, this study focuses on optimizing concentrate in dairy cow feed rations to meet SNI standards, which include crude protein (CP), Total Digestible Nutrients (TDN), Calcium (Ca), and Phosphorus (P), with more efficient results in terms of price and nutrition. This study uses the Whale Optimization Algorithm (WOA) metaheuristic approach, which balances the exploration and exploitation processes in finding the best solution to optimization problems. This algorithm has fewer parameters than other metaheuristics such as GA, PSO, and DE. WOA runs naturally in continuous space without the need for genetic operators such as crossover and mutation. The dataset used contains types of dairy cow feed ingredients along with nutritional requirements and prices so that researchers can process the data into efficient feed concentrate that is suitable for lactating dairy cows.

Helminth infections caused by Soil Transmitted Helminths (STH) and Taenia sp. remain a major public health concern in tropical regions, including Indonesia, particularly among elementary school children. This study aimed to identify the presence of eggs and larvae of intestinal nematodes and cestodes in fecal samples collected from elementary school children in Bekoso Village, East Kalimantan. The research employed a descriptive survey method with a cross-sectional approach, and laboratory examinations were conducted using the Kato-Katz technique. A total of 16 fecal samples were examined to detect Ascaris lumbricoides, hookworm, and Taenia sp. eggs. The results showed that 12.5% of samples were positive for hookworm eggs, 12.5% for Taenia sp. eggs, and 6.25% for Ascaris lumbricoides eggs. These findings indicate that poor personal hygiene and inadequate environmental sanitation contribute to an increased risk of intestinal helminth transmission. The study highlights the importance of preventive efforts through the promotion of clean and healthy living behaviors, consistent use of footwear, handwashing with soap, and community participation in mass deworming programs to reduce the prevalence of intestinal helminth infections among elementary school children.

Type 2 Diabetes Mellitus is a chronic disease with an increasing prevalence and requires long-term therapy, resulting in a significant economic burden on healthcare systems. This study aimed to analyze the cost-effectiveness of antidiabetic drug use among Type 2 Diabetes Mellitus patients in the inpatient unit of Dr. R. Hardjanto Hospital, Balikpapan. This research employed an observational analytic design with a cross-sectional approach and retrospective data collection from medical records and administrative data for the period January–December 2023. A total of 54 patients who met the inclusion criteria were included as study samples. Therapeutic effectiveness was assessed based on the achievement of random blood glucose levels ≤200 mg/dL, while the analysis focused on direct medical costs. Cost-effectiveness was evaluated using the Average Cost-Effectiveness Ratio (ACER) and Incremental Cost-Effectiveness Ratio (ICER). The results showed that Metformin–Apidra therapy achieved higher clinical effectiveness (92%) with an average cost of IDR 3,636,721 and an ACER value of IDR 39,529. Meanwhile, Glimepiride–Sansulin therapy demonstrated 81% effectiveness with a lower average cost of IDR 2,519,259 and an ACER value of IDR 31,101. The ICER value of IDR 10,158 indicates the additional cost required to achieve a 1% increase in effectiveness. In conclusion, Metformin–Apidra therapy is more clinically effective, whereas Glimepiride–Sansulin therapy is more cost-effective economically.

First-year university students undergo a transitional phase from the school environment to the academic, social, and emotional demands of higher education. This transition often triggers stress when not supported by an adequate social environment. Peer support plays an essential role in this adaptation process by providing emotional support, information, and a sense of belonging. Positive peer relationships can help students manage academic pressure, whereas poor peer interactions may increase the risk of stress. Therefore, peer support serves as a protective factor in maintaining the psychological well-being of first-year students. This study employed a quantitative approach with a cross-sectional design. Data were collected using the Peer Support Questionnaire (PSQ) and the Student-Life Stress Inventory (SSI) from 130 first-year students of the Faculty of Pharmacy, UNISSULA. The sampling technique used was simple random sampling. Data were analyzed using the Gamma correlation test to determine the relationship between the variables. The Gamma test revealed a p-value of 0.000 (<0.05), indicating that the alternative hypothesis was accepted, meaning there is a significant relationship between peer support and stress levels among first-year students. The correlation coefficient of –0.737 indicates a strong negative relationship, suggesting that higher peer support is associated with lower stress levels. There is a significant and strong relationship between peer support and stress levels among first-year students at the Faculty of Pharmacy, UNISSULA.

Air pollution constitutes a significant environmental problem with far-reaching impacts on public health, quality of life, and ecosystem sustainability, particularly in urban areas and industrial zones in Indonesia. Although the national environmental legal framework has adopted the principle of strict liability through Law Number 32 of 2009 on Environmental Protection and Management, its implementation in air pollution cases continues to face substantial challenges, especially with regard to the proof and assessment of non-material damages. Non-material damages such as disturbances to living comfort, deterioration of environmental quality, psychological stress, and health-related anxiety are intangible in nature and lack clear measurement standards, resulting in their frequent exclusion or inadequate consideration in environmental civil litigation. This study aims to analyze the legal basis for the application of the strict liability principle to air pollution cases in Indonesia, identify relevant forms of non-material damage, and examine the implications of the absence of standardized methods for assessing such damages on legal certainty and the effectiveness of corporate liability enforcement. The research employs a normative legal research method with a library-based approach, incorporating statutory, conceptual, and case approaches. Legal materials are analyzed qualitatively using a descriptive-analytical method, drawing upon legislation, court decisions, and scholarly literature on environmental law and environmental damage valuation. The findings indicate that the absence of standardized criteria for assessing non-material damages leads to evidentiary difficulties, inconsistent court decisions, and a weakened deterrent effect on polluting corporations, thereby preventing the full realization of victims’ rights to effective remedies. This study underscores the urgency of developing an integrated national technical guideline for the assessment of non-material environmental damages based on scientifically grounded valuation methods, as well as the need for cross-institutional policy harmonization to strengthen legal certainty, access to justice for affected communities, and corporate accountability in controlling air pollution.

Background: Hand grip strength is an essential indicator of physical capacity and nutritional status that can identify obesity risk. Adipose tissue accumulation in central obesity contributes to decreased hand grip strength quality through impaired muscle force transmission. Previous studies showed inconsistent results regarding the relationship between waist circumference and hand grip strength, especially in populations with high physical activity. Objective: To analyze the relationship between waist circumference and hand grip strength in male construction workers with high physical activity in Medan City. Methods: This descriptive-analytic study with cross-sectional design involved 100 male construction workers aged 30-39 years selected using purposive sampling technique. Waist circumference was measured using measuring tape, while hand grip strength was measured using handgrip dynamometer. Data analysis used Chi-Square test with significance level α=0.05. Results: The majority of respondents had normal waist circumference (64%) with mode 70 cm and normal grip strength category (53%) with mode 41.7 kg. Chi-Square test showed significant relationship between waist circumference and hand grip strength (p=0.039). Conclusion: There is a significant relationship between waist circumference and hand grip strength in construction workers. High physical activity does not completely prevent central obesity, therefore nutritional management and health education programs are needed for optimization of body composition and muscle functional capacity.

Ovarian cancer patients undergoing chemotherapy often experience stress due to the side effects of therapy and emotional distress. Religiosity provides a source of inner peace and acceptance of the disease, while coping strategies play a role in how patients deal with the stress they experience. Aims: to determine the relationship between religiosity and coping strategies with stress levels among ovarian cancer patients undergoing chemotherapy. Method: The study employed a descriptive correlational design with a cross-sectional approach. The population included all ovarian cancer patients undergoing chemotherapy totaling 47 patients. The sampling technique used was Total Sampling. Bivariate analysis was performed using the Spearman Rank Correlation test. This research was conducted in the Darussalam and Ma’wa Buildings of Sultan Agung Islamic Hospital Semarang. Result: Based on the Spearman Rank Correlation test on religiosity, the value of r = -0.857 with p-value = 0.000 (p < 0,05) was obtained. This shows a very strong and significant relationshsip between religiosity and stress levels in ovarian cancer patients undergoing chemotherapy. Coping strategies obtained a value of r = -0.810 with p-value = 0.000 (p < 0.05), indicating a very strong and significant relationship between coping strategies and stress levels in ovarian cancer patients undergoing chemotherapy. Conclusion: There is a significant relationship between religiosity and coping strategies with stress levels among ovarian cancer patients undergoing chemotherapy.

Background: TikTok usage among adolescents is increasing and has the potential to impact psychological aspects, particularly self-esteem. Adolescents, who are in the stage of developing their identity, are vulnerable to the influence of interactions and social comparisons on social media. Therefore, this study aims to determine the relationship between TikTok usage behavior and self-esteem levels in students at SMA Negeri 2 Semarang. Method: This study employed a descriptive correlational research design with a cross-sectional approach. The population consisted of 424 students from grade 11 at SMA Negeri 2 Semarang. Sampling was conducted using the Simple Random Sampling technique, resulting in a total sample of 206 respondents, determined by the Slovin formula. Bivariate analysis was carried out using the Spearman Rank Correlation test. Result: The results of the Spearman Rank statistical test showed a correlation coefficient (r) of -0.412 with a significance value of 0.000. The negative correlation indicates an inverse relationship between TikTok usage behavior and students’ self-esteem levels, meaning that the higher the intensity of TikTok use, the lower the self-esteem of the students. The correlation coefficient of 0.412 falls within the category of a moderate relationship. Conclusion: There is a significant relationship between TikTok usage behavior and self-esteem levels among high school students.

Adolescents are a vulnerable group facing nutritional problems, therefore nutritional needs are crucial. Unhealthy lifestyle changes, such as excessive cigarette consumption, can lead to nutritional status problems. This study aims to analyze the relationship between mental health and cigarette consumption with the nutritional status of male adolescents at SMK Negeri 3 Palu. This study was quantitative, using a cross-sectional approach with a population of adolescents at SMK Negeri 3 Palu aged 16-18 years. This study was conducted in December 2024. The sample size was 103 individuals, using a stratified random sampling technique. Based on the results of the Spearman rank test, it shows that the adolescents who experience the most mental health problems are at a mild level with a nutritional status of 42.6% (p = 0.724) > value ∝ 0.05 and the adolescents who have the most heavy cigarette consumption with a nutritional status of 48.8% (p = 0.221) > value ∝ 0.05, which means there is no relationship between mental health and nutritional status and there is no relationship between cigarette consumption and the nutritional status of male adolescents at SMK Negeri 3 Palu.

Introduction: Maximal oxygen volume (VO2max) is the capability of the cardiorespiratory system to deliver oxygen to muscle mitochondria, which is directly proportional to the level of stamina and is obtained from physical activity. Central obesity, which is characterized by excessive accumulation of visceral fat, can cause decreased stamina, so individuals with central obesity tend to have lower VO2max values. VO2max values can be determined by body composition, such as waist circumference, which is an indicator of central obesity. Methods: This study used an observational analytical design with a cross-sectional approach and involved 54 male respondents with high physical activity jobs who worked as building construction workers in Medan City, North Sumatra Province. Waist circumference measurements were carried out using a measuring tape, while VO2max was assessed using a 6-minute walk test. Statistical analysis was performed using the Spearman correlation test with a significance level of 0.05. Results: A total of 47 respondents (87%) had a normal waist circumference, 31 respondents (57.4%) had a fair VO2max, and 16 respondents (29.6%) had an average VO2max. The analysis showed a significant relationship between waist circumference and VO2max, with a P value of 0.000 (P<0.05) and R = -0.658. Conclusion: There is a strong and significant negative correlation between waist circumference and VO2max. This indicates that a larger waist circumference results in a lower VO2max, and a smaller waist circumference results in a higher VO2max.