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Background: Ointment is a semisolid preparation used as a topical medicine, which has direct access to the skin tissues. Katang-katang is one of the medicinal plants traditionally used to treat various types of wounds. Objective: The aim of this study is to identify the secondary metabolite content of katang-katang leaves (Ipomoea pescaprae L.), create and evaluate a good and stable ointment formulation pharmaceutically, and test the irritation of the ointment for burn wounds using ethanol extract of katang-katang leaves (Ipomoea pescaprae L.). Method: The method used is experimental research, the ointment formulation is made using three formulations with different concentrations of active ingredients, with a ratio of FI 20%, FII 25%, and FIII 30%. Result: The results of the study indicate that katang-katang leaves contain flavonoids, tannins, and steroids. The study determined the formulation of a burn ointment from ethanol extract of katang-katang leaves (Ipomoea pescaprae L.). The organoleptic test results of FI, FII, and FIII showed good and stable color, odor, and shape, as well as homogeneity after one week of storage. The pH values measured were 7 for all formulations even after one week of storage. The spreading power of FI was (5.52 cm), FII was (5.88 cm), and FIII was (7.23 cm), which met the standards for good formulation. The irritation tests for all three formulas were categorized as safe. Conclusion: Based on the identification test results, the katang-katang leaves were found to contain flavonoids, tannins, and steroids. The evaluation test results for the three formulations using a hydrocarbon base showed that a good and stable burn ointment could be made from the ethanol extract of katang-katang leaves (Ipomoea pescaprae L.) without causing skin irritation.

People really like hair coloring. However, most people do not know about natural dyes that can be used as basic ingredients for making hair dye and also lack understanding in choosing natural dyes used for coloring. For this reason, safe alternative dyes are needed, namely by developing natural dyes from plants that can be found nearby. This research aims to a) Analyze the results of hair coloring using teak leaf color extract, b) Analyze the results of hair coloring using henna leaf color extract, c) Analyze the comparison of hair coloring results using duan teak color extract and henna leaf color extract. This type of research is pre-experimental. The design used is a one shot case study. The population of this research is students of Cosmetology and Beauty, Class of 2023, Padang State University with 6 samples and 7 panelists. Data collection techniques are observation, documentation and questionnaire methods. The data analysis techniques used are normality test, homogeneity test and t test. Based on the results of research on hair coloring using teak leaf color extract, the color sharpness aspect is in the sharp category. In terms of evenness, the color has an uneven category. In terms of likes, panelists have categories of likes. Based on the results of research on hair coloring using henna leaf color extract, the color sharpness aspect is in the very sharp category. In the aspect of color evenness, it has an average category. In terms of likes, the panelists have a very like category. It can be concluded that there is a difference in the results of hair coloring using teak leaf color extract and henna leaf color extract. Where the average results of hair coloring using henna leaves are better than hair coloring using henna leaf color extract.

The aim of this study is to examine how PT Mayora Indah Tbk handles exchange rate variances and foreign currency transactions. At PT Mayora Indah Tbk, instances of exchange rate variances and foreign currency transactions arise from the existence of subsidiaries overseas, loans, export sales, and certain significant company acquisitions. The qualitative research method is employed, with PT Mayora Indah Tbk as the subject of investigation. The collection of data and information utilizes library research methods and information extracted from PT Mayora Indah Tbk's Annual Report. The findings of the study indicate that the treatment of exchange rate variances and foreign currency transactions at PT Mayora Indah Tbk aligns with the relevant PSAK. Nonetheless, the study is constrained as it relies on data from publicly distributed financial statements and concentrates solely on the account of other income exchange rate variances in the elaboration of financial statements. The researcher looks forward to improved and more intricate research endeavors in the future.

Body odour is a problem that interferes with daily life. The secretion of sweat glands and bacterial activity cause body odour. There are many ways to deal with the problem of body odour, including maintaining body hygiene and using skin care products such as deodorant and antiperspirant. The purpose of this review article is to determine the concentration levels of herbal-based active substances that are suitable for deodorant preparations and to determine their safety and comfort for the skin. This literature review article takes 4 main articles with 10 additional articles, spanning the last 10 years from 2013-2023. The results obtained from this review article show that all deodorant preparations have good formulation content. In spray-type deodorant preparations, the best formulation is deodorant with the active ingredient "Beluntas" leaf extract. In the roll-no type deodorant preparation, the best formulation obtained was with ethanol extract of “Mahkota dewa” leaves, carbopol base and triethanolamine. Both types of deodorant are safe and comfortable to use because they do not irritate the skin surface.

Japanese papaya leaves (Cnidoscolus aconitifolius) contain active compounds such as flavonoids, tannins, saponins, alkaloids and terpenoids which have the potential to have antibacterial activity. The aim of this research is to determine the antibacterial activity of Japanese papaya leaves against Staphylococcus aureus bacteria. Extraction of Japanese papaya leaves has been carried out using the maceration method and 96% ethanol solvent. The antibacterial activity test used the agar diffusion method using a cylindrical plate. Sterile distilled water was used as a negative control while as a positive control the antibiotic ciprofloxacin was used. The concentrations of Japanese papaya leaf ethanol extract used in testing were 10%, 20%, and 30%. The research results showed that Japanese papaya leaf ethanol extract with a concentration of 30% had the widest inhibition zone diameter, namely 17.296 mm. Meanwhile, at a concentration of 20%, the average inhibitory zone diameter was 15,222 mm, and at a concentration of 10%, the average inhibitory zone diameter was 13,018 mm. These three concentrations were included in the strong category based on Greenwood classification.  

This study aims to determine how much influence work competence, job placement, and incentives have on employee performance at PT XY. The object of this research is employees who work at PT XY. The tool used for data collection in this study is a questionnaire with a Likert scale from point 1 to 5. This study uses non probability sampling technique by purposive sampling. The sample was taken as many as 100 respondents, namely employees who work at PT XY. The method used in this research is quantitative method with description analysis. The data analysis technique uses multiple linear regression analysis with the SMARTPLS 4 application through two sub models (outer model and inner model). Outer model consists of convergent validity, discriminant validity, averange variance extracted (AVE), and Cronbach's Alpha. While the inner model consists of model feasibility test, variance inflation factor (VIF), path coefficients, and total direct effect. Based on the results of the study, it can be concluded that work competence has a positive and significant effect on employee work performance, job placement has a positive and significant effect on employee work performance, and incentive.

Arumanis mango seeds (Mangifera indica L.) are organic waste, which in previous research contained many secondary metabolite compounds such as flavonoids and had very strong antioxidant activity. Arumanis mango seeds have the potential to heal wounds, including excision wounds. Excision wounds are characterized by the loss of a certain amount of tissue volume that can be filled with wound healing material. The aim of this research was to determine the effect of arumanis mango seed extract ointment on the healing of excision wounds, variations in concentration and histopathological features. The experimental animals were divided into 5 groups, namely the control group (ointment base), the arumanis mango seed extract group with concentrations of 2.5%, 5% and 7.5% and the comparison group (T® ointment). Applying is done 2 times a day for 14 days. The parameters observed were the percentage of wound healing, epithelialization time, and histopathology. Results from the average percentage of healing of excision wounds in the control group (82.4%), concentration 2.5% (85.5%), concentration 5% (90.5%), concentration 7.5% (92.1%) and comparison (95.3%). Results of epithelialization time in the control group (10 days), 2.5% concentration (9 days), 5% concentration group (7 days), 7.5% concentration group (7 days) comparison group (7 days). For histopathology, the scores for epithelialization, collagen fibers and fibroblasts were obtained respectively in the control group (2,1,2), 2.5% concentration (2,2,3), 5% concentration group (2,3,3), concentration group 7.5% (2,3,3) and comparison (3,2,2). The results of the one-way ANOVA test showed that administration of arumanis mango seed extract ointment significantly influenced the parameters of wound healing area and epithelialization time (p<0.05). The conclusion is that arumanis mango seed extract ointment is effective in healing excision wounds. The most effective group for healing excision wounds was the 7.5% concentration group, with good histopathological results.

Technological developments in Indonesia have an influence on current developments, especially fast food restaurants which are currently a trend among consumers, including McDonald's. With the trend of fast food such as McDonald's, many competitors have emerged with similar companies. This research was conducted with the aim of knowing and analyzing McDoanald's marketing strategy using a SWOT analysis consisting of Strengths, Weaknesses, Opportunities and Threats. The method in this research is a case study using SWOT analysis. The data used in this research is secondary data. On the other hand, qualitative research is a type of research that uses techniques to extract information using data sets that are larger than one point of view, such as journals, articles, and so on. This type of qualitative research is carried out by collecting clear data to analyze information related to ongoing research. The research results show that McDonald's has strengths, weaknesses, opportunities and threats in its marketing activities. The results of the analysis show that McDonald's must use a strategy to increase the effectiveness of promotions through advertising, media and existing websites as well as adding sponsorship and collaboration with other top artists.

Parkinson's disease (PD) is a neurodegenerative disorder causing a decline in dopamine levels, impacting the peripheral nervous system and motor functions. Current detection methods often identify PD at advanced stages. This study addresses early-stage detection using handwriting analysis, specifically exploring the PaHaW dataset for pen pressure and stroke movement data. Evaluating online and offline features, the research employs pre-trained CNN models (VGG 19 and AlexNet) for offline datasets, achieving an overall accuracy of 0.53. For online datasets, velocity, and acceleration features are extracted and classified using Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), and recurrent neural networks (RNN), with GRU yielding the highest accuracy at 0.57. Notably, the convolution-based model C-Bi-GRU surpasses other architectures with a remarkable 0.75 accuracy, emphasizing its efficacy in early PD detection. These findings underscore the potential of handwriting analysis as a diagnostic tool for PD, contributing valuable insights for further research and development in medical diagnostics.

This research explores the use of Text Mining Methods as an innovative approach to extract important information from research report text. With a strong conceptual foundation from the literature review, this research details the key concepts of Text Mining, such as tokenization techniques, sentiment analysis, and entity extraction. The steps of applying Text Mining Methods to research reports are explained in depth, with a focus on using such techniques to improve the efficiency and accuracy of information extraction. Through the evaluation of the method's performance, the research demonstrates a significant improvement in analysis speed and information extraction accuracy compared to conventional methods. The research conclusions provide a holistic picture of the potential of Text Mining Methods in improving the effectiveness of the research report text analysis process. The implications of this research stimulate thoughts on the applicability of this technology in various disciplines that rely on research reports as a primary source of information. Thus, this research makes a positive contribution to the understanding and development of text analysis techniques to support more efficient decision making.

Patient anxiety during tooth extraction is a common challenge in dental practice that can affect patient experience and outcome of the procedure. This study aimed to evaluate the effectiveness of approaches and strategies to address patient anxiety during tooth extraction procedures. Through counseling designed to improve patient understanding of the causes of anxiety, relaxation skills, and communication with the dentist, this study measured its impact on patient anxiety levels and preparedness. The study involved patients undergoing tooth extraction procedures, where they attended a counseling session that included information on factors that cause anxiety, breathing relaxation techniques, and communication skills. Data were collected before and after the counseling through a survey that assessed patient knowledge, ability to apply relaxation techniques, self-confidence, and anxiety levels. The results showed a significant increase in patient understanding of the causes of anxiety from 50% to 85%, ability to apply relaxation techniques from 30% to 75%, and self-confidence in facing the procedure from 40% to 80%. In addition, the ability to communicate with the dentist increased from 45% to 78%, and anxiety levels decreased from 70% to 40%. These findings confirm that an educational approach is effective in reducing patient anxiety, increasing preparedness, and improving the experience during tooth extraction. This strategy can be implemented widely to improve the quality of care and patient well-being in dental practice.

Data mining is a technique to extract new information from the data warehouse, information is considered very important and valuable because by mastering the information so easily to achieve a goal, this makes everyone competing to obtain information, as well as on trading businesses such as bag store BRANDED. store is located close to the home of the population, this certainly affects the level of sales, with the daily sales activities, sales transaction data will continue to grow, causing data storage is greater. Sales transaction data is only used as an archive without being put to good use. Basically the data set has very useful information. The analysis of market basket with Apriori Algorithm is one method of data mining which aims to find the pattern of association based on consumer spending pattern, so that it can be known what items are purchased simultaneously. The result of this research found that the highest support and confidence value is Ysl and Chanel with a support value of 50% and confidence of 75%.

Blood sugar levels, or blood glucose levels, are crucial for overall health and are regulated by the pancreas through insulin. Normal blood sugar levels range between 70-99 mg/dL when fasting and up to 140 mg/dL two hours after eating. Abnormal blood sugar levels can suggest a variety of health issues, including hypoglycemia (low blood sugar levels caused by excess insulin, certain drugs, or illnesses such as diabetes) and hyperglycemia (high blood sugar levels associated with diabetes). Regular blood sugar monitoring is necessary, especially for diabetics. Guava, a tropical fruit, includes a variety of phytochemicals that have been linked to pharmacological benefits such as antibacterial capabilities. This research uses an extraction process involving solid-liquid extraction or maceration, with methanol being the optimal solvent. The extract yields 9.51%. Wistar rats are used to investigate its antidiabetic efficacy. The rats are divided into three groups: positive control, negative control, and extract treatment. Diabetes is induced by subcutaneous injection of Alloxan, followed by oral administration of the methanol extract. Blood glucose levels are assessed after fasting for 6-8 hours. The extract from dried Guava leaf powder yields a concentrated extract with a 9.51% yield. In vivo assessments showed a significant reduction in blood glucose levels in rats treated with guava leaf extract, suggesting potential anti-hyperglycemic effects. The phenolic compounds in guava leaves contribute to antioxidant and anti-hyperglycemic effects. The study highlights the potential therapeutic effects of guava mint leaves and their extract components for diabetes management and antioxidant health benefits.

Mushrooms are very diverse with characteristics of each type, there are 1,433,800 types of mushrooms that have not been recognized. In this study, researchers used the Neural Network and Deep Learning Inception V3 methods as a feature extraction process in images to classify mushroom images based on genus with the Orange Data Mining application. There are 9 genera of mushrooms used in this study, namely Agaricus, Amanita, Boletus, Cortinarius, Entoloma, Hygrocybe, Lactarius, Russula, and Suillus. The total dataset used is 2,700, with 300 images for each genus. The test uses the cross-validation method which is applied to the confusion matrix to get precision, recall, F1-score, and accuracy values. In this study, the final classification results were obtained with an accuracy of 82.5% and the genus Boletus mushroom obtained the best results with an accuracy of 98.9%.

Use Of Fat Saturation (FS) Sequences In MRI Knee Joint Examination Of Osteosarcoma Cases At Installation Radiology Hospital In Jakarta. Magnetic Resonance Imaging (MRI) is one of the medical support modalities used by doctors to diagnose a disease. MRI is capable of producing high resolution images of soft tissue and is capable of displaying various cuts (sagittal, axial, coronal and oblique) using high-strength magnetic fields and nuclei resonances of hydrogen atoms. Fat saturation is used to detect or extract signals from adipose tissue. Three methods can be used to achieve leanness: lean saturation, investment mulihan, and leaning phase. Fat sat is an umbrella term that encompasses several techniques, each with its own unique advantages, disadvantages, and strengths. During the MR imaging process, proton lipids and hydrogen protons from the air have different behaviors, and fat suppression techniques.The knee joint is a hinge joint with changes and is formed by both femoral condyles that are jointed with the superior surface of the tibia condyles. The patella is located above the smooth pateller surface of the femur and above that the patella slides as the joint moves. Osteosarcoma is a relatively common middle to high grade malignant soft tissue tumor, often with an early course affecting young patients, and most often involving soft tissue.

The Suruhan plant (Peperomia pelluida) has many benefits that cannot be separated from the compounds contained in the suruhan plant. Traditionally, the suruhan plant is used by the people of Kalimantan as a cold powder, so in this research a phytochemical screening was carried out and the SPF value of the suruhan extract emulsion was tested. The results showed that the extract contained flavonoids, alkaloids, phenolics and terpenoids. Testing the SPF values ​​obtained 5 formulas that had anti-ultraviolet activity in the medium and low categories with the highest SPF value of 31.48.

This study aims to determine the best selling food and beverage products at Caffe Kopi Kito. Data mining is the process of extracting useful information and patterns from very large data. Data mining includes data collection, data extraction, data analysis, and data statistics. The Apriori algorithm is a classic algorithm in data mining. This algorithm is used to see the intensity of occurrence of the relevant itemset or frequent items or association rules. This study uses consumer transaction data for 30 days in January 2023. Transaction data will be collected first based on the day and number of transactions, then the transaction data that has been collected will be grouped according to each item, the data that has been grouped will be carried out a priori algorithm process to determine the most dominant product. Then a system design will be carried out whose result will be a website. The results showed that using the website-based a priori algorithm could determine the most dominant product at Caffe Kopi Kito and make it easier for users to determine the most dominant product. Based on the results of product sales analysis at Cafee Kopi Kito, it can be concluded that working on the a priori algorithm on Caffe Kopi Kito using a website can be said to have the result of a product combination and in the future it can be used to create the best-selling menu packages at Cafee Kopi Kito.

Indonesia is one of the countries known for its various arts and cultures. One of them is batik, batik is one part of the archipelago's culture which has many motifs and patterns that are much favored by the people of Indonesia and abroad. Soursop (Annona murocata L.) is a plant that grows and bears fruit throughout the year. Soursop leaves have many health benefits, besides that the tannin content in soursop leaves can be used as a natural dye in batik cloth which can produce a reddish brown color. In this study using the experimental method using variations in concentration (40 and 80 grams) and type of fixation (lime, alum, and arbor). With the variation method that has been used, it turns out that it has an effect on the color produced. Good research results were obtained with a concentration variation of 80 grams using alum and arbor fixation substances.

Elderly is an age group that is susceptible to disease due to decreased function in the body due to the aging process. Uric acid is produced by every living thing as a result of the main metabolic process, namely a chemical process in the cell nucleus that functions to support survival. To overcome complaints of pain that appear in patients with gout, there are various pharmacological and non-pharmacological therapies. The usual pharmacological therapy is taking painkillers, namely the Nonstereoidal Antiinflammatory Drugs (NSAID) group. Complementary therapy is a natural therapy including herbal therapy in the form of bay leaves. The aim of the study was to describe a decrease in uric acid levels by giving bay leaf boiled water to the elderly at the Cilacap Dewanata Institution. The results of this study were obtained after therapy by giving boiled bay leaf water, the patient was more comfortable, the pain was reduced, the last day's observations of vital signs (TTV) showed Td: 110/80 mmHg, Respiration: 20 x/minute, Pulse: 96 x /minute pain scale 2. In conclusion, the application of giving bay leaf boiled water is proven to be able to overcome the problem of diagnosing acute pain associated with physical injury agents, the implementation of self-invasion care was carried out for 3 days, with extraction the results of reduced pain.

Apple is a fruit that turn brown quickly after being cut. One method to maintain the quality of apples cut is coating the fresh-cut apples with an edible coating. Ediblei coatingi is a thini ilayer that can bei eaten and can keep the iquality ofi the icoated material. Thei study aimed toi determinei the effectiveness of edible coating aloe vera (Aloe vera chinensis L.) in inhibit enzymatic browning reaction. The designii wasi usiing icompletely irandomized idesign. The first factor was the citrus species (Citrus aurantifolia, Citrus hystrix DC, Citrus amblycarpa) iand the secondi factori was thei istorage itime (0, 3, 6 day). Edible coating applied to fresh-cut apples and tested for moisture content, total dissolved solids, weight loss, color, overall appearance, vitamin C and total plate count. Thei resultsi ishowed that aloe vera edible coating with citrus extract was not effective in inhibiting the enzymatic reaction of sliced apples. The type of citrus and storage time was affect the effectiveness of aloe vera edible coating. Citrus amblycarpa extract has a lower water content reduction effect with a water content of 54.51% on the 6th day of storage time and has an effect on the total plate count, that Citrus amblycarpa extract has decreased total plate count in day 6th. Citrus aurantifolia extract gives the effect of maintaining brightness compared to other types of citrus, with a brightness value of 58,290 on the 6th day. The type of citrus has no effect on weight loss, total dissolved solids, overall appearance. The length of storage has an effect on the effectiveness of aloe vera edible coating, the longer it is stored, the apples cut will decrease in quality.