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Capture fisheries are one of the most contributing sectors in producing fishery products.The fourfinger threadfin (Eleutheronema tetradactylum) is one of the key commodities in the capture fisheries sector of Pasuruan City. The catch yield of this species is influenced by the mesh size of the gillnet used. This study aimed to determine the effect of different mesh sizes on the catch yield of fourfinger threadfin and to identify the most effective mesh size. The research was conducted using an experimental fishing method with a Randomized Block Design (RBD) comprising three gillnet mesh size treatments: 1.75 inches, 2.5 inches, and 4 inches, with nine fishing trips. Data on catch weight and number were analyzed using a One-Way ANOVA followed by the Least Significant Difference (LSD) test. The ANOVA results showed an F-value of 10.083 with a significance level of 0.001 (p-value < 0.05), indicating a significant difference in the catch weight of fourfinger threadfin (Eleutheronema tetradactylum) among the mesh size treatments. This finding suggests that mesh size has a significant effect on catch weight, with the 2.5-inch mesh size being the most effective for catching fourfinger threadfin in the Madura Strait, as it produced the optimal catch weight compared to 1.75-inch and 4-inch mesh sizes.

Air gaps between the probe and the skin surface can produce shadowing artifacts in the presented image. With the help of gel pad Artefact Shadowing can be minimized. However, in ultrasound examination Shoulder ultrasound examination performed with the patient sitting, it is possible that the gel pad is not stay consistently on the examined area. This is due to the pull of the earth's gravity, so the gel pad sheet model is still less supportive for this examination. support for this examination. The aim of this study was to develop a product design in the form of a Gel-based auxiliary applicator to optimize the examination of the Shoulder ultrasound examination, which has been tested for function based on the aspects of comfort and quality of quality of the resulting image. The Research and Development study was conducted with a multidimentional approach, resulting in a product that was tested for comfort by sonographers and tested for comfort by sonographers and image quality by radiologists. interpretation of radiologists. Data processing was done by conducting comparison of ultrasound examination of Supraspinatus Tendon in patients with body weight below 18.5 based on BMI calculation by using standard gel and by using the product, 30 samples each. The product design consists of gel pad and silicon rubber RTV-48. With the composition of the gel pad is gel wax and paraffin (5% of gel wax). Where silicon is designed with a thickness of 2 mm resembling the thickness of human skin. Product test results obtained that the comfort aspect is more optimal with the product than without using the product.

Sweet corn (Zea mays L. saccharata) is a high-value horticultural crop whose productivity is closely linked to effective nutrient management, particularly the balanced application of macronutrients—nitrogen (N), phosphorus (P), and potassium (K). This study evaluates the agronomic and economic impacts of applying NPK compound fertilizer at varying doses (0.5×, 0.75×, 1.0×, 1.25×, and 1.5× the recommended rate) on sweet corn growth and yield performance. Field experiments demonstrated that NPK application significantly enhanced vegetative growth parameters, including plant height, leaf number, and stem diameter, with improvements ranging from 15.8% to 37.3% over the unfertilized control. Yield components such as ear length, husked ear weight, and dehusked ear weight also showed marked increases, resulting in higher total yields per plot and per hectare. Among the treatments, the 1.25× dose achieved the highest relative agronomic effectiveness (RAE) at 147%, indicating superior nutrient utilization and biomass conversion. However, the 1.0× dose yielded the most favorable economic outcome, generating a net profit of Rp. 10,780,200 and an R/C ratio of 1.47, suggesting optimal cost-efficiency. These findings underscore the dual benefits of NPK compound fertilizer in sweet corn cultivation, highlighting that precise dosage not only maximizes agronomic performance but also enhances economic viability. The study recommends adopting the 1.0× dose for balanced productivity and profitability, while the 1.25× dose may be considered in contexts prioritizing yield maximization.

Modern Islamic boarding schools not only focus on religious education, but are also required to improve the academic quality of students, including in mathematics subjects which are often challenging due to differences in students' learning styles, motivations, and abilities. This study aims to design and implement a Decision Support Sistem (DSS) based on the VIKOR method to analyze students' mathematical understanding and provide recommendations for more adaptive learning strategies. The study uses a descriptive quantitative approach with data obtained through documentation of students' grades, as well as interviews with mathematics teachers. The VIKOR method is used to evaluate students' understanding based on five main criteria, namely exam scores, report card scores, attendance, attitudes and behavior, and skills, through a process of normalization, weighting, calculation of S, R, and Q scores, and ranking students. The results show that there are five students with the lowest level of mathematical understanding, namely A11, A4, A17, A1, and A12, who have the lowest VIKOR index scores. This low level of understanding is influenced by factors such as learning attitudes, attendance, report card scores, and skills, so they require further attention and guidance from teachers. The application of the VIKOR method in SPK has proven effective in optimizing the analysis of students' mathematics achievements and providing recommendations for more targeted personal learning strategies, thereby helping to improve the quality of education and maximize students' academic potential.

Kangaroo mother care is a treatment for low-birth-weight infants that involves direct skin-to-skin contact between the infant and the mother (skin-to-skin contact). This provides health and psychological benefits, particularly in providing warmth to the infant, enhancing maternal bonding, increasing maternal trust and satisfaction, and reducing stress. The difference in body temperature of low-birth-weight infants treated with kangaroo mother care for one hour and three hours. Research Method: The research design used was a quasi-experimental, pre-post test with control group design, which involves administering treatment or intervention to the experimental group and then measuring and analyzing the effects of the treatment. The sample size for this study was 30 people. Bivariate analysis was conducted using the independent t-test and paired t-test. The results showed that the infant's body temperature before the kangaroo mother care intervention was in the below-normal. The infant's body temperature after the intervention was in to normal range. The infant's body temperature after the kangaroo mother care intervention in the one-hour had a p value = 0,000 or <0,05). The infant's body temperature after the intervention was in to normal range. The infant's body temperature after the kangaroo mother care intervention in the three-hour had a p value = 0,000 or <0,05). The infant's body temperature after the kangaroo mother care intervention in the one-hour had a p value = 0,000 or <0,05). The infant's body temperature after the kangaroo mother care intervention in the three-hour had a p value = 0,000 or <0,05).

Asphyxia nonatorum contributed 30.3% to the cause of neonatal death in Central Java Province in 2019, in the case of LBW the percentage was greater than asphyxia neonatoum in cases of neonatal death in Central Java in 2019, namely 46.4%. This research design is quantitative research, with a cross-sectional approach. The sampling technique used the chi-square formula and obtained a sample of 40 respondents. The data collection method used data from medical records. Data analysis used univariate analysis and bivariate analysis using the chi-square test. The characteristics of the respondents were mostly male with a total of 26 babies (65.0%), the majority of the gestational age of the babies in the premature category was 25 people (62.5%). The majority of the babies' mothers had a high school education of 29 people (72.5%), the majority were born by CS procedure of 33 babies (82.5%), with normal amniotic fluid characteristics of 25 people (62.5%). The majority of babies had a weight in There were 22 babies (55.0%) in the LBW category, and the majority of respondents had LBW and moderate asphyxia, 12 babies (54.5%). Based on the analysis results, the d value was 0.518, indicating a moderate positive correlation with a p value (0.000 < 0.05), indicating a relationship between low birth weight and asphyxia at Roemani Muhammadiyah Hospital, Semarang. There is a relationship between low birth weight and asphyxia at Roemani Muhammadiyah Hospital, Semarang.

Malnutrition is a condition in which the body does not receive enough essential nutrients, such as protein, vitamins, calories, and minerals, which causes various health problems, especially wasting and stunting, making it a serious concern in children. According to the Basic Health Research, the prevalence of malnourished children in Indonesia remained stable at 17.8% between 2016 and 2017 but decreased to 13.8% in 2018. This case study focuses on a 23-month-old girl from Kuala Keureuto Village, who was observed for three weeks through home visits in 2025. The diagnosis of malnutrition was made in accordance with national guidelines outlined in the Indonesian Minister of Health Regulation No. 2 of 2020, regarding child anthropometric standards. Anthropometric measurements showed that the child's height was 78.3 cm and her weight was 8.8 kg. Based on these measurements, her nutritional status was assessed as follows: A height/age Z-score between -2 and -3 SD indicates stunting, a weight/age Z-score between -2 and -3 SD indicates underweight, while a weight/age Z-score below -2 SD and a BMI/age Z-score below -2 SD are considered well-nourished. After confirming the diagnosis, the patient received nutrition education, supplemental feeding, appetite-stimulating supplements, and growth monitoring. In addition, analyses were conducted to identify factors influencing her condition, concluding that the malnutrition observed in this 23-month-old patient was influenced by parenting behavior, parental knowledge, medical history, incomplete immunizations, and environmental factors.

Anomalous positioning is an abnormal position of the fetal vertex (with the small fontanelle as a marker) relative to the maternal pelvis. Oblique malposition is a cause of maternal mortality rate (MMR) of 3-10%. Obesity in pregnancy is a condition characterized by an imbalance between body weight and height. According to WHO data, the prevalence of obesity in 2021 was 340 million, with data in Central Java province reaching 6.62%. In Brebes Regency, the figure was 20.51% (2019). In the Bumiayu Community Health Center, data on obesity in pregnant women reached 63 in 2022. This study aims to provide comprehensive midwifery care for pregnant women, childbirth, postpartum, newborns, and family planning for Mrs. N, 23, with malposition and obesity. This study used a qualitative descriptive method with a comprehensive case study approach. Based on the comprehensive midwifery care provided to Mrs. N, 23, with malposition and obesity, the pregnancy outcome was found to be grade I. Her gestational age was not commensurate with her gestational age. Delivery was performed by vaginal delivery. No problems were found during newborn care up to 28 days. No problems were found during the postpartum period. Mrs. N chose intrauterine contraception (IUD) during pregnancy, but her husband did not allow it due to religious reasons. Appropriate midwifery care during pregnancy, childbirth, newborn care, postpartum care, and family planning is crucial for the health of both mother and baby. This allows early detection of risk factors, preventing potential complications, and reducing maternal and infant mortality.

The spice industry faces significant challenges in maintaining product weight consistency as part of quality assurance and compliance with production standards. A case at PT X revealed that a newly installed filling machine produced deviations from the target weight of 50 grams, with hypothesis testing showing that out of 30 samples, 17 samples fell outside the  confidence interval. To mitigate this issue, this study proposes the development of a real-time data-driven Decision Support sistem (DSS) combined with statistical approaches. The methodology includes two-tailed hypothesis testing to detect weight deviations and Failure Mode and Effects Analysis (FMEA) to identify dominant failure causes based on high Risk Priority Numbers (RPN), such as delayed machine calibration, operator error, and worn-out machine components. These findings serve as the foundation for designing the DSS architecture, which consists of sensor input modules, statistical data processing, risk mapping, and an automated corrective recommendation engine. The sistem is designed to enable early detection of deviations, accelerate response time to quality issues, and support data-driven decision-making on the production floor. The study concludes that a structured implementation of DSS can be an effective strategy to improve product weight consistency and enhance operational efficiency in spice manufacturing.  

This study proposes the integration of a Hybrid Recommendation method (combining Content-Based and Collaborative Filtering) with Random Forest Regression (RFR) to improve the accuracy of stay duration prediction in web-based boarding house booking systems. The main issue in online boarding booking systems is the inaccuracy of predicting user stay duration, affecting room allocation efficiency and customer satisfaction. The dataset was sourced from the hotel sector due to its attribute similarities and data validity. The research process includes data preprocessing (missing value imputation, normalization, and one-hot encoding), temporal and contextual feature engineering, hybrid recommendation system construction with CBF and CF score weighting, and RFR model training optimized through Grid Search and 10-fold cross-validation. Evaluation was conducted using MAE, RMSE, R² metrics, as well as recommendation metrics such as Precision@5, Recall@5, and Mean Reciprocal Rank (MRR). Results show that this integrated model achieved an R² of 0.7239 and an MAE of 1.0537 days, as well as a Precision@5 of 0.9636. This integration proves effective in improving prediction accuracy and recommendation relevance and contributes to the development of AI-based intelligent systems in the accommodation domain.

This study aimed to evaluate the effectiveness of liquid organic fertilizer (POC) derived from kirinyuh (Chromolaena odorata) leaves on the growth and yield of potted corn plants. The research was carried out at the Agricultural Development Center (BPP) of Malimbong Balepe’, Tana Toraja District, South Sulawesi Province, located at an altitude of 815 meters above sea level. The experiment was designed using a simple randomized block design (RBD) consisting of four treatments: K0 = control (without treatment), K1 = 20% concentration of kirinyuh leaf POC (200 ml POC + 800 ml water), K2 = 40% concentration of kirinyuh leaf POC (400 ml POC + 600 ml water), and K3 = 60% concentration of kirinyuh leaf POC (600 ml POC + 400 ml water). Parameters observed included plant height at 5 and 7 weeks after planting (WAP), number of leaves at 7 WAP, ear length, ear diameter, and ear weight per plant. The results showed that kirinyuh leaf POC significantly affected the growth and productivity of potted corn plants. Application of POC at 60% concentration (K3) produced the best results, indicated by increased plant height, greater number of leaves, longer ear length, larger ear diameter, and higher ear weight compared to other treatments and control. This finding suggests that kirinyuh leaves, which are often considered as agricultural weeds, have potential as an alternative source of organic fertilizer that is environmentally friendly, low-cost, and effective in improving crop growth and yield. In conclusion, kirinyuh leaf-based liquid organic fertilizer, particularly at a concentration of 60%, demonstrated the highest effectiveness in supporting corn growth and productivity. These results provide practical insights for farmers to utilize locally available organic materials as an alternative to chemical fertilizers in sustainable agricultural practices.

This study aims to determine the level of body dissatisfaction among individuals experiencing food addiction. Food addiction is characterized by impulsive and uncontrolled eating behavior, particularly toward high-fat and high-sugar foods, accompanied by physical and psychological dependence. This condition increases the risk of weight gain and negatively impacts body image, especially among female college students who are vulnerable to social pressure and ideal beauty standards. The research employed a descriptive quantitative approach with incidental sampling techniques. Participants consisted of six female students from the Psychology and Primary School Teacher Education (PGSD) programs at Universitas Negeri Padang, selected based on the food addiction criteria outlined in the DSM-5. The Body Shape Questionnaire (BSQ-16A) was used to measure body dissatisfaction levels. Data were analyzed using percentage distribution to provide a general overview of body dissatisfaction among the research subjects. The results showed that 66.66% of participants experienced high to very high levels of body dissatisfaction. This indicates a positive relationship between food addiction and body dissatisfaction. Students with food addiction tend to have negative perceptions of their body shape, influenced by social pressures, media exposure, and prevailing beauty ideals in society. These findings highlight the need for appropriate psychological interventions and education about healthy eating habits and self-acceptance in university environments. Through a comprehensive approach, it is hoped that students can develop a more positive body image and avoid eating disorders that may harm their physical and mental health. Additionally, this study can serve as a basis for developing mental health promotion programs and eating disorder prevention efforts among university students.

This study aimed to identify the relationship between family support and body image disturbance among breast cancer patients undergoing chemotherapy at Sultan Agung Islamic Hospital, Semarang. Breast cancer and its treatment, particularly chemotherapy, often cause physical changes such as hair loss, weight fluctuations, and mastectomy, which can significantly affect patients’ body image perception. Family support is assumed to play a crucial role in helping patients adapt to these changes. This research employed a quantitative approach with a cross-sectional design. A total of 110 breast cancer patients were recruited using consecutive sampling. The research instruments consisted of a family support questionnaire comprising 20 items and a body image questionnaire with 10 items. Data were analyzed using Spearman’s Rank correlation test with a significance level of 0.05. The results showed that most respondents (60%) received good family support, while 55% experienced negative body image. Statistical analysis revealed a significant relationship between family support and body image disturbance (p = 0.004) with a correlation coefficient of r = 0.275, indicating a weak but significant correlation. These findings suggest that family support plays an important role in maintaining a positive body image among breast cancer patients undergoing chemotherapy. Therefore, nursing interventions should actively involve family members to provide both emotional and practical support, which may help patients cope with the psychological impact of treatment and improve their overall well-being.

Plant Growth Promoting Rhizobacteria (PGPR) is a group of microorganisms that colonize plant roots and play an important role as a biostimulant, biofertilizer, and bioprotectant that can increase plant growth and productivity. This study aims to determine the effectiveness of Tallang bamboo root PGPR on the growth and production of peanut plants (Arachis hypogaea L.) elephant variety. The study was conducted from March 2025 to July 2025 in Lion Tondok Iring Village, North Makale District, Tana Toraja Regency, at an altitude of 828 meters above sea level. The research method used a Randomized Block Design (RBD) with one treatment factor, namely the concentration of Tallang bamboo root PGPR, which consisted of four treatment levels: P0 = without Tallang bamboo root PGPR (control), P1 = 15 ml/L water, P2 = 30 ml/L water, and P3 = 45 ml/L water. The variables observed included the number of pods per plant, fresh weight of pods per plant, dry weight of pods per plant, seed weight per plant, seed weight per plot, seed yield per hectare, and harvest index. The results showed that the application of Tallang bamboo root PGPR at a concentration of 30 ml/L water (P2) had the best effect on all growth and yield parameters, namely the number of pods per plant, fresh weight of pods per plant, dry weight of pods per plant, seed weight per plant, seed weight per plot, seed yield per hectare, and harvest index, compared to the control or other concentration treatments. Thus, it can be concluded that the application of Tallang bamboo root PGPR at a concentration of 30 ml/L water is the most effective dose to increase the growth and production of Gajah variety peanut plants.

Anemia in pregnant women remains a major public health issue in Indonesia, including in Bukittinggi City. According to the Bukittinggi Health Office report in 2022, the prevalence of anemia among pregnant women reached 42%. This condition increases the risk of pregnancy complications such as bleeding, preterm delivery, low birth weight, and even maternal and infant mortality. Families play an essential role in supporting pregnant women, particularly in ensuring compliance with iron tablet consumption and providing nutritious food. This community service program aimed to improve family knowledge of anemia prevention through participatory health education. The methods included problem identification, focus group discussions, interactive education, simulation of nutritious meal planning, and accompaniment by community health cadres. The results showed a 35% increase in family knowledge based on pre- and post-test results. Furthermore, positive behavioral changes were observed, such as improved compliance with iron tablet consumption and the establishment of family support groups for pregnant women as new social institutions. This program demonstrated that participatory family-based education is effective in increasing knowledge and fostering social transformation for anemia prevention.

Pregnancy is a unique time in a woman's life and a valuable experience for a married couple. During pregnancy, women adjust to their pregnancy, and it's not uncommon for many to experience disappointment and anxiety due to hormonal influences and physical and psychological changes. Anxious pregnant women can experience negative consequences for themselves and their fetuses, such as increased blood pressure, preeclampsia, prematurity, low birth weight, and even the risk of maternal and fetal death. Hypnobirthing is a method for reducing anxiety and has no effect on fetal growth and development. The purpose of this study was to determine the effect of hypnobirthing as self-hypnosis in reducing anxiety in pregnant women. This study used a quasi-experimental design with a sample size of 50 participants. Data collection was conducted at Tidore City Regional Hospital. The variables used in this study were the level of anxiety of pregnant women as the dependent variable and hypnobirthing as the independent variable. Maternal anxiety levels were measured before and after hypnobirthing using the HARS questionnaire. Univariate and bivariate analyses (Wilcoxon sign test) were used for analysis. The results of the study showed that there was a difference in anxiety levels before and after hypnobirthing was given of 0.92 and there was a p-value of 0.0001, which means that there was a significant influence between hypnobirthing and reducing anxiety in pregnant women

Background: Menstruation is the result of a complex interaction that involves the hormonal system and body organs, namely the hypothalamus, pituitary, ovaries and uterus. Things that affect the age of menarche are nutritional status, diet, family economic status, and sports activities.BMI is determined by body weight and height. The impact if young women experience early menarche, which is less than 12 years old, is at risk of developing breast cancer and ovarian cancer To find out the relationship between body mass index values ​​and the age of menarche in young women at Abulyatama Middle School, Aceh Besar district in 2023. This research method is analytic with a cross sectional study design. Using Independent Variables and dependent variables. Sampling technique Random sampling.Data analysis using Chi Square. Results The showed that out of 30 respondents whose body mass index was underweight, 13 respondents (43.3%) had overweight nutritional status, 10 respondents (33.3%) and normal nutritional status, 7 respondents (23.3%). Conclusion: the relationship between body mass index values ​​and menarche age in young women at Abulyatama Junior High School, Aceh Besar District. Based on the test results using Chi Square, it is known that P Value = 0.013, then Ho is rejected, Ha is accepted.

Pregnancy is a unique natural condition because although it is not a disease, it often causes complications due to various anatomical and physiological changes in the mother's body. Pregnant women who suffer from anemia can have an impact on the fetus, such as premature birth, the risk of low birth weight (LBW), fetal abnormalities, and increased risk of fetal distress. In general, the causes of anemia in pregnancy are iron deficiency and acute bleeding or even the interaction of both. The purpose of this study was to determine the difference in the effectiveness of giving red spinach juice and Ambon bananas on Hb levels in pregnant women in the third trimester. The design used in this study was a quantitative inferential study including the pre-experimental type with two group pretest-posttest. Based on the time of data collection, it included the cross-sectional type, sourced from primary and secondary data. An assessment of the difference in increasing HB levels was carried out before and after treatment (Pretest and Postest two Group Design). Data analysis consisted of univariate and bivariate analysis. The results of the analysis showed an effect in giving red spinach juice and Ambon bananas. It is hoped that the Health Center will facilitate health workers (midwives) in providing information on providing guava juice with red spinach leaf juice as an alternative for preventing and managing anemia during pregnancy in the Health Center's work area.    

Groundnut plants must be well maintained so that they can be food crops that have economic value and high fat and protein content. Many farmers still plant with the old pattern so that peanut plants are less fertile because they are affected by pests and other diseases. So with an expert system to diagnose peanut plants can help farmers or the general public in knowing the solution if experiencing problems or symptoms of this peanut plant. The application of the WP (weighted product) method can help the application become structured. From the results of the study, the expert system for diagnosing peanut plants can help many people for use as fundamental insights.

Magnetic Resonance Cholangio Pancreatography (MRCP) is an important non-invasive imaging technique for the diagnosis of abnormalities in the biliary and pancreatic systems, including pancreatic mass and colletiasis. The use of an additional sequence of Diffusion Weighted Imaging (DWI) with b-value variations and image segmentation is thought to improve the accuracy of mass limit measurements on MRCP checks. This study aims to analyze the effect of b-value variation and image segmentation on the additional sequence of DWI in the MRCP examination of the accuracy of the mass limit measurement. The research used quantitative methods with MRCP image data capture equipped with a DWI sequence with b-value variations, using the matlab method. Image segmentation is performed to identify mass boundaries. Measurement accuracy is analyzed and compared between the variation in b-value and the segmentation techniques used. Research results show that variation of b-value 800 and image segmentation in additional DWI sequences have a significant effect on the improvement of accuracy of mass limit measurement on MRCP examinations. The b-value 800 variation is more optimal than the b-value 50 and the appropriate segmentation method can clarify the mass limit so that it supports a more accurate diagnosis. Sequence variations in b-value and image segmentation in the additional DWI sequences in MRCP examinations play an important role in improving the accuracy of mass limit measurements, which can aid in the diagnosis and management of diseases especially in lesion cases.