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This research reviews the relationship between body weight and increased cholesterol levels. This research was carried out at the Kebun Jatirono Health Center, Kalibaru District, Banyuwangi using observational analytical research and using cross-sectional measurements because in this research the researcher aims to determine the existence of a relationship between the two variables being studied by only observing without intervention on the variables to be studied and measurements or observations of respondents who were overweight were 22 employees or 73.3%. Then, most of the employees at the Kebun Jatirono Health Center, Kalibaru Banyuwangi District who were respondents experienced increased cholesterol levels, namely 14 people or 46.7% had moderate cholesterol levels. And there is a relationship between employee overweight and increased cholesterol levels at the Kebun Jatirono Health Center, Kalibaru Banyuwangi District. Using the Spearman Rank Correlation statistical test, the calculated ρ value = 0.573 > from the table ρ value = 5% Error Degree = 0.363 and 1% Error Degree = 0.478.

Chili is one of the superior horticultural products which has quite high economic value. The demand for large red chili supplies is causes farmers to plant chilies continuously without paying attention to environmental factors. The use of kasgot fertilizer in the cultivation process can have a positive impact on plants. This research aimed to determine the effect of doses variants for the growth of Capsicum annuum L. The research method used RAL with 6 treatments K1: 150g. K2: 175g, K3: 200g, K4: 225g, K5: 250g, and K6: 275g each treatment was repeated 4 times to obtain 24 samples. Observation parameters include plant height, number of leaves, number of fruit and fruit weight. Data analysis used One Way ANOVA and continued with the Tukey test. Varying doses of kasgot fertilizer have a real influence on the growth parameters of plant height, number of leaves, number of fruit and fruit weight. Treatment with a dose of kasgot fertilizer (K1) 150g gave the highest average number of fruit (10.3 pieces) and fruit weight (82.375g). Meanwhile, a dose of 175g (K2) gave the highest average plant height (37.5 cm) and number of leaves (50.45 each). So the optimal dosage of kasgot fertilizer for the growth of large red chili plants is around 150-175g.    

On August 14, 2023, Indonesia had approximately 228 million social media users, a number that is expected to continue growing to reach 267 million by 2028. Social media can be used to spread both positive and negative information, and one of the various negative effects is cyberbullying. Consequently, much research is conducted in the field of machine learning to develop sentiment analysis. One crucial step in sentiment analysis is word weighting. The two most common word weighting methods are TF-IDF and Word2Vec. These methods can be compared to determine which one produces better classification results, allowing cyberbullying sentiments on social media to be detected more accurately. Based on nine test scenarios, the final results showed that TF-IDF performed better than Word2Vec in this study, with an accuracy of 84%.    

Husband support has a huge influence on wives when choosing the best course of action from pregnancy, childbirth to the post-pregnancy period so that it affects the occurrence of low birthweight. In addition, SEZ in pregnant women can cause problems not only in the mother, but also in the fetus including babies born with low birth weight. The purpose of this study was to analyze the support of husbands and SEZs in pregnant women with BBLR incidence in the working area of Telaga Biru Health Center. Quantitative research design with cross sectional approach, the population of all infants aged 0-24 months as many as 57 babies, the number of samples 57 infants using purposive sampling techniques in this study and the data were analyzed with chi-square statistical tests. The results of the study obtained that the majority of husband support was categorized as good as 46 respondents (80.7%), SEZs in pregnant women were mostly categorized as non-SEZ pregnant women as many as 44 respondents (77.2%) and the majority of BBLR events were not BBLR as many as 42 respondents (73.7%), and husband support was obtained with the incidence of BBLR p = 0.000 <α 0.05) and SEZ in pregnant women with the incidence of BBLR p = 0.000 <α 0,05. It can be concluded that there is a relationship between the support of husbands and pregnant women in SEZs with the occurrence of BBLR in the working area of the Telaga Biru Health Center.  

Uric acid is an end product of purine metabolism that can crystallize at high concentrations, causing gout and other related conditions. This study aims to describe the proportion and risk factors for hyperuricemia in the productive age population. This descriptive research was conducted in March 2024 at Kalam Kudus II High School, Duri Kosambi Village, using purposive sampling techniques. The sample consisted of 74 respondents aged 18-64 years. Data collection includes demographic characteristics and uric acid levels using the Point Of Care Testing (POCT) tool. The results showed that 67 respondents (90.5%) had normal uric acid levels, while 7 respondents (9.5%) had hyperuricemia. Identified risk factors include a high-purine diet, obesity, metabolic syndrome, certain medical conditions, and genetic factors. The results of this research are the importance of changing diet, weight loss, adequate hydration, and the use of medication in managing uric acid levels. Health education has proven important for improving patient compliance with diet and medication, as well as preventing complications. Therefore, it is necessary to develop comprehensive educational programs and further research to improve the treatment of hyperuricemia.  

Varicella Zoster or known as chickenpox is an infectious disease caused by the Varicella Zoster virus (VSV). Chickenpox is a worldwide airbone disease. Transmission of Varicella zoster is through the air which spreads through coughing and sneezing and also through direct contact with skin lesions. This varicella disease is less of a concern for the public because of the assumption of the public that Varicella Zoster will heal on its own. Where there should be a consultation media and knowledge that can be used by the community in the prevention of varicella disease early on children. So that not every patient brought to the hospital was found to be a patient who had been infected for several days until it was severe to be treated and treated for Varicella Zoster disease. Varicella zoster disease consists of firepox (shingles) which is a follow-up infection of the virus that causes chickenpox. Chickenpox is a viral infection that causes itching on the skin and is characterized by a rash or red spots filled with fluid called elastic. The Dempster Shafer Method is the Dempster Shafer Method, which is a mathematical theory to prove based on belief function and plausibility. Belief indicates a measure of the strength of evidence in supporting a hypothesis, while plausibility indicates a state of trustworthiness. Based on the weight value given by experts on each Varivcella Zoster disease symptom data, from the results of the analysis carried out in the previous chapter, the results of the diagnosis of Varicella Zoster with the type of firepox disease (Herpes Zoster) with a density value of 98.08% were obtained. Keywords: Dempster Shafer, Diagnosis, Varicella Zoster

This study is to determine the hardness and wear of two original and local brake pads on motorcycle brakes by conducting rockwell hardness and wear tests. This test was conducted at the B4T Bandung Automotive Laboratory with results at a load of 60 Kgf, a steel ball indenter with a diameter of 1/12 inch. The results show that the average value of the local brake pad hardness level is 66.7 HR and the average value of the original brake pad is 84.93 HR proving that the highest level of hardness is found in the original brake pad. Wear testing that the original brake canvas sample initial weight 75 gr with 3 variable testing time namely test 1 around 4 minutes obtained 71 gr with eroded weight 4 gr, test 2 around 8 minutes obtained 69 gr with eroded weight 6 gr, test 3 around 12 minutes with weight 67 gr, test 3 around 12 minutes obtained 67 gr with eroded weight 8 gr local brake canvas initial weight 74 gr with 3 variable testing time namely test 1 around 4 minutes obtained 69 gr with eroded weight 5 gr, test 2 around 8 minutes obtained 60 gr eroded with eroded weight 14 gr, test 3 got 56 gr with eroded weight 18 gr, from both samples the results of wear testing that the original and local brake canvas found that the original canvas wear is harder than the local type of canvas.

Balanced nutrition is daily food intake whose types and amounts of nutrients are in accordance with the body's needs. Fulfillment of nutrients obtained from daily food must pay attention to the principles of food diversity, physical activity, clean living behavior, and maintaining a normal body weight to prevent nutritional problems. To increase the knowledge of mothers under five regarding balanced nutrition, especially mothers under five in RW 02 Sirnagalih Village. This activity was carried out using a sampling method by sampling 25 respondents to obtain research results, so in this study used T test analysis in the pre test and post test with a p value <0.05. The results of statistical test calculations using a computerized system, namely using the SPSS application, obtained a value of t = -3.361 and p = 0.003 (p<0.05). The research results showed that respondents' knowledge increased after completing the counseling compared to before the counseling. The results obtained were 40% knowing about balanced nutrition then it became 72% after counseling. From community service activities in the field of theory/material delivery the results are quite good and acceptable. The results of this research can be concluded to provide health education to increase the knowledge of mothers of toddlers regarding balanced nutrition in RW 02 Sirnagalih Village.

In the world of construction projects, good project management is required, including the use of domestic products. The government encourages the use of domestic products through the program to increase the use of domestic production (P3DN). The amount of domestic content in commodities, services, and the combination of products and services can be used to measure the use of domestic products. This quantity is called the Domestic Component Level (TKDN). Company Benefit Weight (BMP) is an award given to industrial companies that invest and produce in Indonesia. This research aims to calculate the amount of TKDN and BMP for the Muhammadiyah Ahmad Dahlan Kediri Hospital construction project. With reference to the Ministry of Industry of the Republic of Indonesia's Regulation No. 16 of 2011 regarding Provisions and Procedures for Calculating Domestic Component Levels, the research employs a descriptive quantitative methodology to compute and analyze Domestic Content Levels (TKDN). The results of analytical calculations show that the TKDN percentage is 69.65% and the BMP percentage is 3%. This research concluded that the total TKDN and BMP was 72.65%, thus meeting the minimum limit for the sum of TKDN and BMP of 40%.

Proteolytic bacteria are bacteria that can degrade proteins by producing extracellular protease enzymes. Proteolytic bacteria can be found in mangrove soil. This is because the dry weight of mangrove leaf litter contains 61% protein. The purpose of this study was to determine the presence of proteolytic bacterial isolates from mangrove soil in Pandaratan Beach, Sarudik District, Central Tapanuli Regency and to characterize them. This study used a laboratory experimental method which was analyzed descriptively. Soil sampling was carried out at two location points I (sandy) and location II (muddy) which were isolated using SMA media with the streak plate method. Characterization includes macroscopic and microscopic observations as well as biochemical tests. The results of the study found that there were 15 isolates of proteolytic bacteria isolated from the mangrove soil of Pandaratan Beach, Central Tapanuli. The highest activity test of the proteolytic index (IP) was obtained 0.82 mm by the Micrococcus (L1) and 0.09 mm lowest by Brevibacillus (L2). A total of 11 genera of proteolytic bacteria were found, including Curtobacterium (P1 and L7), Bacillus (P2, P4, and P7), Enterococcus (P3), Brevibacillus (P5 and L2), Carnobacterium (P6), Paenibacillus (P8), Micrococcus (L1), Vagococcus (L3), Marinococcus (L4), Halobacillus (L5), Sporosarcina (L6).

Background: Increased oxygen reliance within the first 24 hours, no illness symptoms, typical radiological findings with lower air content, pulmonary reticulogranular pattern, and air bronchogram are all associated with respiratory distress syndrome, or RDS. Body weight and gestational age have an inverse relationship with the occurrence of RDS. RDS affects 15–30% of newborns born between 32 and 36 weeks and 60–80% of babies born less than 28 weeks. Although it is uncommon, RDS can develop after 36 weeks or term; alternative diagnosis should be explored. Objective: To determine the effectiveness of kinesthetic tactile stimulation therapy and murrotalAl Quran therapy in babies diagnosed with respiratory distress syndrome. Method: This type of research is descriptive research using a case study method approach. Results: The results of the nursing intervention that was carried out in the form of giving kinesthetic tactile stimulation therapy to babies for 5 consecutive days which were carried out for 20 minutes showed that there were changes in oxygen saturation, pulse and breathing became more stable than before the intervention was given.

Stress often occurs in students, there are several factors that influence the occurrence of stress, one of which is the difference between the desired situation and conditions and the conditions that occur. The purpose of this research is to find out how stress is related to nutritional status in students of the Sultan Ageng Tirtayasa University nutrition study program. This research is an analytical research using a sample of 20 people. Data were collected using anthropometric measurements through questionnaires including height, weight, body mass index as well as measuring stress levels obtained using the DASS 42 questionnaire score. The results of this research showed that 17 respondents (75%) of students experienced moderate stress. and the majority of respondents (40%) had thin and normal nutritional status. Conclusions obtained from research have shown that nutritional status and stress levels have no correlation.  

Low-carb diets are one of the strategies for weight loss for people with obesity, diabetes, or some other diseases that require dieting in order to reduce the consumption of carbohydrates in food. Gen Z is accustomed to the digital world and easy access to information, some of them have a good understanding of carbohydrate diets and their effects on health. This journal aims to determine the level of knowledge, awareness, and how many have implemented a low-carb diet among generation Z. From 60 respondents who filled out the questionnaire, it was found that 78.3% of Generation Z already knew what a low-carb diet was, and 66.7% of Generation Z were interested in trying a low-carb diet.

Many incidents that occur in school-age children are postural errors in carrying out learning activities. One of the causes of posture errors is the use of bags that are too heavy. The weight of a bag that is more than 10% of the child's body weight can affect posture, especially the curves of the spine and is at great risk of causing scoliosis. To determine whether there is a relationship between bag weight and risk of scoliosis in children aged 9-12 years at Gonilan 02 Elementary School. Using the Cross Sectional Study method, with a sample of 110 children using the Total Sampling technique. Based on the results of research that has been conducted from the Spearman’s rho Test, the significance value of p = 0.000 is obtained, which indicates that there is a relationship between the bag load and the risk of scoliosis in children aged 9-12 years at Gonilan 02 Elementary School. The value of r = 0.418 means that the level of closeness of the relationship is moderate and the data is positive, namely the increasing value of the independent variable (bag load), the value of the dependent variable (risk of scoliosis) will also increase. Based on the results of the research that has been done, it shows that there is a relationship between the bag load and the risk of scoliosis in children aged 9-12 years at Gonilan 02 Elementary School. The significance value is p = 0.000. With the level of closeness of the relationship worth r = 0.418, which means that the data is moderate and the data is positive, namely the increasing value of the independent variable (bag load), the value of the dependent variable (risk of scoliosis) will also increase.

This study proposes an approach for human fall classification utilizing a combination of Weighted Moving Average (WMA) and Convolutional Neural Networks (CNN) on the SisFall dataset. Falls among elderly individuals pose a significant public health concern, necessitating effective automated detection systems for timely intervention and assistance. The SisFall dataset, comprising accelerometer data collected during simulated falls and activities of daily living, serves as the basis for training and evaluating the proposed classification system. The proposed method begins by preprocessing accelerometer data using a WMA technique to enhance signal quality and reduce noise. Subsequently, the preprocessed data are fed into a CNN architecture optimized for feature extraction and fall classification. The CNN leverages its ability to automatically learn discriminative features from raw sensor data, enabling robust and accurate classification of fall and non-fall events. Experimental results demonstrate the efficacy of the proposed approach in accurately distinguishing between fall and non-fall activities, achieving high classification performance metrics such as accuracy, precision, recall, and F1-score. Comparative analysis with existing methods showcases the WMA-CNN hybrid approach's superiority in classification accuracy and robustness. Overall, the proposed methodology presents a promising framework for real-time human fall classification using sensor data, offering potential applications in wearable devices, ambient assisted living systems, and healthcare monitoring technologies to enhance safety and well-being among elderly individuals.

The number of incidents occurring on the island of Sumatra, especially West Sumatera and Jambi provinces that affect the vibration of the earthquake in Rengat City on a large scale can lead to the movement of land such as landslides and stagnant ground water sources can lead to liquefaction. The purpose of this research is to know how the arrangement of soil type at research location Rengat City and to know the location reviewed in Rengat City, and its surrounding experience potential liquefaction based on some existing penetration test data. This research was conducted to predict liquefaction potential that occurred in Rengat City of Indragiri Hulu Regency with secondary data of penetration test of konus with Seed and Idriss method (1971). The calculation of potential liquefaction prediction is done by determining the number of soil layers, estimating the weight of the soil volume, determining the soil overburden, determining the effective soil stress, determining the corrected confront resistance, calculating Cyclic Strees Ratio (CSR), calculating Cyclic Resistance Ratio (CRR). After calculating the value of Magnitude Scalling Factor (MSF) and calculating the value of safe factor by comparing the value of Cyclic Strees Ratio (CSR) with Cyclic Resistance Ratio (CRR) if the calculation <1 factor is safe then potentially liquefaction occurs. Based on the results of the analysis of the 7 locations with a total of 2 cone penetration test conus analyzed in this study in Rengat City, obtained the type of soil structure is not uniform and based on the results of analysis, from the 7 research sites with tottal 21 point penetration test konus reviewed at magnitude 5 to 10 in Rengat City Indragiri Hulu Regency. In the type of sand soil in the dominant study area can not be achieved liquefaction, this is reinforced from the calculation (SF)> 1 safe factor (SF: 1.0).

Diagnosing optic nerve disorders in the orbit is a clinical challenge that requires sophisticated imaging technology. MRI has become one of the main diagnostic tools in identifying various optic nerve pathologies, such as Optic Neuritis, Multiple Sclerosis, and tumors. However, it is important to understand in more depth how MRI can play an effective role in this diagnosis process. This study aims to explore the role of MRI in diagnosing optic nerve disorders in the orbit, specifically focusing on Optic Neuritis. This research uses a Literature Review Study approach by collecting data from various sources, including Pubmed, Google Scholar, and online repositories. Relevant data was selected based on established inclusion criteria, and then analyzed to understand the contribution of MRI in the process of diagnosing optic nerve disorders. The results of the study show that the use of ADC values has proven effective in diagnosing Multiple Sclerosis of the optic nerve, while the diagnosis of Optic Neuritis can be made without the use of contrast media with high sensitivity. Imaging techniques with diffusion weighting, fat saturation, and phase oversampling have also been proven to improve the quality of Orbital MRI images by reducing artifacts. It is also recommended to use slice thicknesses of 1 mm, 2 mm, and 3 mm to optimally display small anatomy and pathology. The rFOV-EPI imaging technique is recommended because it can provide high spatial resolution. Thus, through the application of the various MRI imaging techniques and parameters mentioned above, a more accurate and detailed diagnosis can be made regarding the pathological condition of the optic nerve in the orbit. This research makes an important contribution to our understanding of the role of MRI in the diagnosis and management of optic nerve disorders, as well as providing practical guidance for medical practitioners in the clinical use of this technology.

This research aims to evaluate the effectiveness of fertilization based on nutrient requirements and production targets of green mustard (Brassica juncea. L) in a hydroponic system. The study involved varying fertilizer dosages and integrating them into the hydroponic system to assess the growth and production of mustard plants. The results showed that increasing fertilizer dosages in line with production targets could enhance plant growth, such as plant height, leaf count, and leaf width, as well as plant production in terms of wet and dry weights. Integrating fertilizer dosages with the hydroponic system also demonstrated increased effectiveness of fertilization on the growth and production of mustard plants. The interaction between increasing fertilizer dosages and the hydroponic system also positively impacted mustard plant production. The role of the hydroponic system in improving the efficiency of complete fertilizer application in mustard cultivation was evidenced by an increase in production yields of up to 24 tons/ha. These findings indicate that adjusting fertilizer dosages to match plant nutrient requirements and integrating them with a hydroponic system can enhance the growth and production of green mustard plants under hydroponic conditions.

Maintaining the mother's health during pregnancy is one of the main keys to the health of the next generation, because the mother will give birth to a healthy generation if the mother's health during pregnancy is good and without problems. The thing that must be maintained by pregnant women is to get adequate nutrition for themselves and the fetus they are carrying. One of the problems that often arises in pregnant women is anemia. Anemia in pregnant women can increase the risk of low birth weight (LBW) babies, premature birth, maternal and infant deaths and stunting (short children). Various efforts have been made to control anemia in pregnancy, but the prevalence is still high. One of the efforts that can be made to prevent anemia in pregnant women is to check hemoglobin and increase the mother's knowledge about anemia and its management, so that the mother understands her health condition during pregnancy. The aim of this community service activity is to screen for anemia in pregnant women. The benefit of this activity is that pregnant women know their hemoglobin levels and get information about anemia during pregnancy and its management.

The objective of this research is to devise a personalized recommendation system for a freelancing platform to optimize the freelancer project matching process. This enhancement is intended to improve user experience and increase the success rate of projects. The system will recommend projects to freelancers based on their skills and preferences by employing data analysis and machine learning methodologies. The research methodology adheres to the Cross Industry Standard Process for Data Mining (CRISP-DM), incorporating six stages: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. The proposed project employs a hybrid recommendation strategy, integrating Content-Based Filtering through KNearest Neighbors (K-NN) and Cosine Similarity, Collaborative Filtering via Singular Value Decomposition (SVD), and recommendations derived from Word2vec. Evaluation metrics such as precision, recall, F1 score, MAP, and MRR are utilized to assess model performance. The results, including precision scores of 0.80 for KNN and 0.728 for SVD, recall scores of 0.60 for KNN and 0.623 for SVD, and F1 scores of 0.69 for KNN and 0.671 for SVD, as well as a MAP of 0.75 and MRR of 0.80 for Word2vec, demonstrate the efficacy of the hybrid recommendation system in delivering accurate and varied project suggestions to freelancers, with a weighted average ensemble learning model emerging as the most effective solution.