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In facing the increasing awareness of environmental impact, electric vehicles have become a primary focus in the global automotive industry. With the advancement of technology and the growing need for eco-friendly solutions, the evaluation of public sentiment towards electric vehicles becomes highly relevant. This research aims to analyze opinions expressed on Twitter regarding the use of electric vehicles using the Long Short Term Memory (LSTM) classification method. Utilizing a dataset of 30,000 entries, this study applies the LSTM algorithm to classify sentiment in tweets. Four different scenarios are tested, involving combinations of Continuous Bag of Words (CBOW) and Skip-Gram feature extraction methods, as well as data split percentages of 80:20 and 70:30. The research results demonstrate high accuracy levels across all scenarios, ranging from 85.16% to 85.9%. These findings indicate the effectiveness of sentiment analysis in gauging public perspectives on the use of electric vehicles. This study makes a significant contribution to understanding public sentiment related to electric vehicles based on Twitter data while highlighting the application of sentiment analysis techniques in the context of electric vehicle usage.

Music genre classification is one part of the music recommendation process, which is a challenging job. This research proposes the classification of music genres using Bidirectional Long Short-Term Memory (BiLSTM) and Mel-Frequency Cepstral Coefficients (MFCC) extraction features. This method was tested on the GTZAN and ISMIR2004 datasets, specifically on the IS-MIR2004 dataset, a duration cutting operation was carried out, which was only taken from seconds 31 to 60 so that it had the same duration as GTZAN, namely 30 seconds. Preprocessing operations by removing silent parts and stretching are also performed at the preprocessing stage to obtain normalized input. Based on the test results, the performance of the proposed method is able to produce accuracy on testing data of 93.10% for GTZAN and 93.69% for the ISMIR2004 dataset.

This article discusses the pivotal role of Good Corporate Governance (GCG) Sharia in governing the Islamic banking sector, emphasizing ethical principles and Sharia values. The research employs a comprehensive evaluation using secondary data collection methods, specifically library research and internet searches. Data were extracted from journals and articles focusing on GCG. The assessment reveals that Islamic banks have generally implemented GCG principles such as accountability, transparency, fairness, and compliance with Sharia law effectively. However, the study identifies areas for improvement, particularly in comprehensive application of Sharia principles and more effective risk management. Instances of personal involvement within Islamic banking institutions underscore the need for enhanced adherence to these principles to uphold ethics and sustainability. Therefore, this article underscores the significance of a profound understanding and effective implementation of GCG Sharia principles within the operational framework of Islamic banking in Indonesia.

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.

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.

Acne is a disease on the surface of the skin of the face, neck, chest, and back that appears when the oil glands in the skin are too active so that the skin pores will be clogged by excessive fat deposits. Guava leaves contain secondary metabolites, consisting of tannins, alkaloids, flavonoids, saponins. This study aims to identify the content of secondary metabolites in guava leaf extract (Psidium guajava L.), test the antibacterial activity of ethanol extract of guava leaves (Psidium guajava L.) against the growth of Propionibacterium acnes and Staphylococcus aureus bacteria, and analyze the comparison of the effectiveness of guava leaf extract (Psidium guajava L.) against the growth of the two test bacteria. This type of research is laboratory experimental. The methods used for this study: preparation of materials, extraction of samples by maceration method, phytochemical screening test, testing antibacterial activity using the pitting method and analyzing data. The screening test results of guava leaf extract (Psidium guajava L.) showed the presence of alkaloid, flavonoid, tannin and saponin compounds. The results of the inhibition test on guava leaf extract with a high concentration of 115% have the largest diameter of 17.5 mm against Staphylococcus aureus compared to Propionibacterium acnes bacteria with an inhibition diameter of 16 mm. The results of the Mann-Whitney statistical test showed a p-value of 0.077 so it can be concluded that there is no comparison of the effectiveness of guava leaf extract (Psidium guajava L.) against the growth of Propionibacterium acnes and Staphylococcus aures bacteria.

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.

Medicinal plants have been known and used worldwide for thousands of years. One type of medicinal plant that is often used is gaharu. The efficacy of gaharu leaves provides properties as a fever reducer, increases appetite, launches menstruation, and relieves pain. This study aims to determine whether there is an analgesic effect from the methanol extract of gaharu leaves in male Wistar rats using the heat stimulation method. This study was an experimental study using twenty-five male Wistar rats divided into five groups. Group I (negative control), rats were treated with 1% CMC-Na. Group II (positive control), rats treated with mefenamic acid 45 mg/kg BW. Group III, IV, and V rats were treated with gaharu leaf methanol extract suspension (100; 200, and 400) mg/kg BW. Pain stimulation was carried out by dipping the rat tail into a 40°C water bath. Data on response time to pain, stimuli were analyzed using the One-Way Analysis of Variance (ANNOVA) method with a 95% confidence level followed by a post-hoc Tukey test to determine which group had the same or significantly different effect. The results showed that the normal response time data for mice to painful stimuli ranged from 2.79 to 3.57 seconds. 1% CMC-Na treatment in mice was unable to increase the response time to a significant pain stimulus (p>0.05). Mefenamic acid treatment 45 mg/Kg BW significantly increased the response time to painful stimuli (p<0.05) with the longest average response time to painful stimuli, namely 8.87 seconds. Based on the method used in this research, methanol extract of agarwood leaves 400 mg/kgBW has almost the same analgesic effect as mefenamic acid 45 mg/KgBW.

Basil leaves are very rich in nutritious substances. Among them are beta carotene, vitamin C, macro minerals (calcium, phosphorus, magnesium). This plant is included in the Lamiaceae family which contains various chemical compounds, including phenols, saponins, alkaloids, flavonoids, tannins, and essential oils. The benefits of basil have been widely applied in people's lives as traditional medicine, for example, basil leaves are used to treat, cough, colds and so on. Body odor can be caused by several factors such as genetic factors, psychological conditions, food factors, obesity factors and clothing materials used.One of the triggers of body odor due to bacterial infection, namely Staphyloccous aureus bacteria.This study aims to formulate deodorant spray ethanol extract of basil leaves, test the physical properties of deodorant spray preparations, and determine whether the preparation of deodorant spray ethanol extract of basil leaves can inhibit staphylococcus aureus bacteria. Physical tests were carried out on days 0 (after manufacture) and 7 with the results of the organoleptical physical test of the preparation having a distinctive odor of basil, brownish yellow in color, It has a pH of 4 which corresponds to the pH of the skin, and experiencing an increase in viscosity on day 7 examination. The antibacterial test results of formulations 1, 2, and 3 showed inhibition of the banteri.

Medicinal plants have been known and used worldwide for thousands of years. One type of medicinal plant that is often used is gaharu. The efficacy of gaharu leaves provides properties as a fever reducer, increases appetite, launches menstruation, and relieves pain. This study aims to determine whether there is an analgesic effect from the methanol extract of gaharu leaves in male Wistar rats using the heat stimulation method. This study was an experimental study using twenty-five male Wistar rats divided into five groups. Group I (negative control), rats were treated with 1% CMC-Na. Group II (positive control), rats treated with mefenamic acid 45 mg/kg BW. Group III, IV, and V rats were treated with gaharu leaf methanol extract suspension (100; 200, and 400) mg/kg BW. Pain stimulation was carried out by dipping the rat tail into a 40°C water bath. Data on response time to pain, stimuli were analyzed using the One-Way Analysis of Variance (ANNOVA) method with a 95% confidence level followed by a post-hoc Tukey test to determine which group had the same or significantly different effect. The results showed that the normal response time data for mice to painful stimuli ranged from 2.79 to 3.57 seconds. 1% CMC-Na treatment in mice was unable to increase the response time to a significant pain stimulus (p>0.05). Mefenamic acid treatment 45 mg/Kg BW significantly increased the response time to painful stimuli (p<0.05) with the longest average response time to painful stimuli, namely 8.87 seconds. Based on the method used in this research, methanol extract of agarwood leaves 400 mg/kgBW has almost the same analgesic effect as mefenamic acid 45 mg/KgBW.

Squid ink and seaweed have the potential to be utilized as medicines, one of which is as an antibacterial medicinal material. because it contains secondary metabolite compounds that can inhibit the growth of Streptococcus Mutans bacteria. This type of research is a laboratory experiment with the method used, namely maceration for phytochemical screening tests and agar diffusion for antibacterial effectiveness tests with concentrations used in squid ink (Loligo sp) namely 5%, 10%, 15% 20% and in seaweed (Eucheuma cottonii) 1%, 5%, 10%, 15%. The results of the research conducted on phytochemical screening tests contained secondary metabolite compounds in squid ink (Loligo sp) triterpenoids, steroids and seaweed (Eucheuma cottonii) alkaloids, flavonoids, hodroquinone phenols, and tannins. From the research conducted on the antibacterial effectiveness test of squid ink (Loligo sp) and seaweed (Eucheuma cottonii) extracts against Streptococcus mutans bacteria, namely in both samples have the effectiveness in inhibiting Streptococcus mutans bacteria, with a high inhibition of squid ink concentration of 20% by 20.5 mm, and in seaweed concentration of 15% by 23 mm. The analysis used is spss using two tests, namely the shapiro wilk test and the mann whitney test. The conclusion of the mann-whitney test results with a p-value = 0.663 indicates there is no significant difference between squid ink extract (Loligo sp) and seaweed extract (Eucheuma cottonii).