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Background. The paradigm of treatment using herbal plants is still attached to the Indonesian people for wound healing. One of the plants that is often used for treatment and has the effect of accelerating wound, is the binahong plant (Anredera cordifolia). The aim of this study is to determine the effect of hydrogel of binahong leaf extract (Anredera Cordifolia(Ten.) Stennis) on the healing of incisional wounds in wistar rats. Method. This study uses a True Experimental research design with the Post Test Only Control Group Design method. The samples were 30 wistar Rattus norvegicus rats, divided into 5 groups, namely: K (control group), P1 (was given 10% puvidone iodine ointment), P2 (was given 5% binahong leaf extract hydrogel), P3 (was given 10% binahong leaf extract hydrogel), P4 (was given 20% binahong leaf extract hydrogel). The treatment was carried out for 14 days. Wound examination was carried out on days 1,3,6,9,12,14. The REEDA score parameter were used to assess wound healing. Result. The bivariate analysis using the Wilcoxon paired difference test in each experimental group showed a significant difference only in group P2 (was given 5% binahong leaf extract hydrogel) with group K (control group), group P1 (was given 10% puvidone iodine ointment) and group P2 (was given 5% binahong leaf extract hydrogel) during days 12 and 14. incision wound compared to groups P3 and P4 on the same day. The average score of the REEDA scale on days 1,3,6,9,12, and 14, the most significant incisional wound healing in wistar rats was given hydrogel binahong leaf extract with a concentration of 5%. Conclusion. There is an effectiveness of healing incision wounds in wistar rats by giving hydrogel binahong leaf extract. The hydrogel binahong leaf extract 5% is the most significant concentration assessed from the average REEDA scale score.

Objective: This scoping literature review is intended to identify factors that influence Psychological well-being and see the gap synthesis of previous studies. Introduction: Students as the next generation of the nation often face various challenges, both in academic, social, and personal fields. These challenges can affect their psychological well-being, which is an important aspect in supporting the success of studies and life as a whole. Methods and analysis: This study uses 5 main stages, namely the stage of identifying questions, identifying relevant studies, selecting study results, data extraction, data synthesis. Specifically using the PCC framework and paying attention to inclusion and exclusion criteria so that the final results are obtained. Results: The results found from the data selection found a total of 8,401 articles from 1 database and duplication was done twice (in the first check using Rayyan.ai the second work during data selection with Rayyan.ai n = 807 After duplication of data selection based on inclusion exclusion criteria, 63 relevant articles were found. After manual re-detection, the final results were 13 articles that were most relevant to the research topic.    

In the fruit processing industry, peel is one of the main by-products. Non-edible portions of fruit are likewise seen as waste and are frequently thrown out into the environment. Nowadays, one of the main sources used by the pharmaceutical sector to isolate and extract secondary metabolites is fruit peels. Many applications known for lime peel, especially for antibacterial. This study focuses on the isolation, chemical composition characterization, and antibacterial activity on skin pathogenic bacteria of lime peel essential oil (LPEO). LPEO were isolated using steam distillation and characterized by GC/MS. A total of 24 components were identified. The major constituents of the LPEO were d-limonene (40.24%), β-terpinene (15.68%), sabinene (13.15%), citral (3.41%), α-Terpineol (3.40%), and terpinene-4-ol (2.94%). The antibacterial activity was determined using the Kirby-Baurer method against several bacteria that can cause skin infections. The antibacterial activity of LPEO against Escherichia coli, Staphylococcus aureus, Staphylococcus epidermidis dan Propionicbacterium acne is confirmed. LPEO showed varied levels of antibacteria activity against the gram positive and gram negative bacteria. Zone of inhibition (ZOI) in millimetres was used to measure the antibacterial activity, and amoxicillin was used as a control.  

Indonesia is a country rich in useful biodiversity, such as red galangal (Alpinia purpurata K.Schum). The antibacterial and antifungal activity of the compounds isolated from the red galangal rhizome is the beginning of a new innovation to implement the concept on plants. The content of 1,8 sineol and eugenol in it makes red galangal rhizome can be used as a fungicide on lettuce plants. The widespread use of chemical-based pesticides can harm farmers and the environment with repeated exposure and over a long period of time. So biofungicide innovation is needed that can support the concept of Green Chemistry. The purpose of this study is to determine the effectiveness of red galangal rhizome extract as a fungicide on lettuce plants, as well as to analyze and determine under what conditions the fungicide from red galangal rhizome extract is optimal in eradicating Rhizoctonia Solani fungus on lettuce plants. This research was conducted experimentally using a completely randomized design (CRD) with 10 treatments. All data were tested for normality followed by homogeneity test and all data were found to be normally distributed and homogeneous. Data were analyzed with parametric statistical tests using one-way ANOVA tests and further tests using Tukey with an error rate of 10% to determine whether there was an effect of the treatment tested on the material. The results of this study indicate that red galangal rhizome extract is effective in eradicating Rhizoctonia Solani fungus on lettuce plants with an optimum concentration of 50%.

Meniran Meniran (Phyllanthus niruri L.) contains bioactive compounds that are able to inhibit bacterial growth (antibacterial) and kill bacteria. This research aims to determine the effect of the concentration of extract Phyllanthus niruri L. and the effective concentration of Phyllanthus niruri L. which can inhibit the growth of Staphylococcus aureus and Escherichia coli bacteria. The test bacteria used were Staphylococcus aureus and Escherichia coli. This research was experimental using a completely randomized design (CRD) with 11 treatments consisting of extract concentrations of 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% and 100% with 3 repetitions for each bacteria.  The data obtained in this study were analyzed using Single Anova and further  tests using BNT 5%. Based on the research results, it shows that there is an effect  of giving extract of Phyllanthus niruri L. on the growth of Staphylococcus aureus and Escherichia coli bacteria and the concentration extract of Phyllanthus niruri L. that effectively inhibits the growth of Staphylococcus aureus bacteria is 80% while the effective concentration is able to inhibit the growth of Escherihcia coli bacteria is 90%.

Escherichia coli is a bacterium that typically resides as a normal flora in the gastrointestinal tract of humans and animals. However, certain strains of E. coli can cause infections in humans. Therefore, antibiotics are needed to inhibit the growth of these infection-causing bacteria. The increasing cases of antibiotic resistance in E. coli necessitate alternative therapies, including the use of natural substances. In West Kalimantan, one potential source is the Pontianak Orange (Citrus nobilis var. microcarpa). This plant contains secondary metabolites that can be used for medicinal purposes, such as the juice extract. The compounds within these secondary metabolites possess antimicrobial properties that could be used as antibacterials. To determine the antibacterial potential of Pontianak Orange juice (Citrus nobilis var. microcarpa) against Escherichia coli. This study utilized an experimental design featuring a post-test only group design. Phytochemical analysis indicated that Pontianak Orange juice (Citrus nobilis var. microcarpa) contains phenolics (+), alkaloids (+), and terpenoids (++). Antibacterial activity testing at all concentrations (25%, 50%, 75%, and 100%) showed no inhibition zones. The juice of Pontianak Orange (Citrus nobilis var. microcarpa) did not show antibacterial effects against the growth of Escherichia coli bacteria.

The COVID-19 pandemic accelerated the adoption of flexible work arrangements (FWAs), prompting a paradigm shift in the traditional work model. This study aims to systematically review the literature on the impact of FWAs and organizational culture on work productivity. A systematic literature review was conducted using a rigorous methodology, including database searches, screening, data extraction, and thematic analysis. The search focused on peer-reviewed articles published in reputable academic journals. The findings from the literature review indicate that FWAs and organizational culture have a significant impact on work productivity. FWAs can enhance work-life balance, job satisfaction, and employee motivation, leading to increased productivity. However, challenges such as social isolation, decreased collaboration, and difficulty in maintaining work-life boundaries may arise. Organizational culture plays a crucial role in shaping employee behaviour and performance. A positive organizational culture characterized by trust, respect, and open communication can foster employee engagement and productivity. However, negative organizational cultures can hinder employee performance and job satisfaction. This systematic literature review highlights the complex interplay between FWAs and organizational culture in influencing work productivity. Organizations should strive to create a positive organizational culture that supports employee well-being, provides opportunities for professional development, and facilitates effective collaboration. By carefully designing and implementing FWAs, organizations can harness the benefits of flexibility while mitigating potential challenges. Further research is needed to explore the long-term impact of FWAs and organizational culture on employee productivity and organizational performance.

The growth of e-commerce in Indonesia has led to the emergence of various online shopping platforms, with Shopee being one of the most popular in Semarang City. User reviews on the Shopee application serve as a valuable data source for analyzing customer satisfaction levels; however, the large volume of data requires a systematic and accurate analytical approach. This study aims to analyze user review sentiments of the Shopee application using three machine learning algorithms: Random Forest, Naïve Bayes, and Support Vector Machine (SVM), as well as comparing the accuracy of these three algorithms. This research utilized 1000 reviews collected through web scraping from the Play Store, which were categorized into three classifications: positive, neutral, and negative sentiments. The analysis process encompassed pre-processing stages, feature extraction using TF-IDF, and classification using Random Forest, Naïve Bayes, and Support Vector Machine algorithms. The results demonstrated that the Random Forest algorithm achieved the highest accuracy at 96.19%, followed by Support Vector Machine with 95.71% accuracy, and Naïve Bayes with 84.76% accuracy. This research highlights the effectiveness of Random Forest and SVM in classifying user review sentiments towards the Shopee application.

This study aims to evaluate effectiveness of health education on public perception and knowledge regarding the use of garlic extract to reduce cholesterol in Suco Seloi Malere Aldeia Namanei Posto Administrativo Aileu Municipiu Aileu in 2024. This research uses a quasi-experimental design with a pretest-posttest approach. Data was collected from the community in Suco Seloi Malere Aldeia Namanei Posto Administrativo Aileu Municipiu Aileu in 2024 through questionnaires before and after being given health education.  Before education, 62% of respondents had moderate knowledge; After education, 64% of respondents had high knowledge about the use of garlic extract to lower cholesterol. Before education, 60% of respondents had a moderate perception; After education, 62% of respondents showed an increase in perception to high perception. Before education, 38% of respondents had little experience, after education, 98% of respondents had good experience regarding the use of garlic extract to lower cholesterol. Before education, the majority of respondents (60%) had a secondary education level. After education, the proportion of respondents with a secondary education level remained stable at 60%. Before education, 40% of respondents felt a high cultural influence regarding the use of garlic extract. After education, this figure increases to 70%.  The health education provided is effective in increasing public knowledge and perception regarding the use of garlic extract to lower cholesterol.

This research is motivated by damage to hair which causes hair loss. Several Padang State University students experienced abnormal hair loss. The way to treat hair loss is to use shampoo made from flower extract. The aim of this study was to analyze the effect of hair loss treatment using cosmetic hibiscus extract shampoo at a frequency of 2 days once and 3 days once used. This research uses pure experimental methods. The sample in this research was 6 cosmetology and beauty students from the class of 2023. Data collection techniques use observation methods, documentation and assessment sheets. The data analysis technique used is the normality test, homogeneity test and independent sample test with SPSS 26. The normality test results show a sig>0.01 value, namely 200, which is normally distributed. In the homogeneity test results, the value of sig>0.01, the Levene statistic result is 1.066, indicating that the results have a homogeneous variance. The results of the independent simple test using spss26 were nil. ai sig >0.01, namely 0.660, shows that there is a comparison between the effect of using shampoo from hibiscus extract in the 2 day 1 treatment with the 3 day 1 treatment. From the results of the effect of using hibiscus extract shampoo, treatment 2 days 1 time is more effective or faster to prevent hair loss.

This study explores the potential of breadfruit leaves (Artocarpus altilis) as a raw material in making skin care soap. Breadfruit leaves are known to contain active compounds such as saponins and flavonoids that have antibacterial, antiviral, and antioxidant properties. This study aims to test the effectiveness of breadfruit leaf extract in improving the quality of skin care soap. In addition, this study also highlights the use of breadfruit trees at SDN Kutisari 2 Surabaya, which is one of the Adiwiyata schools. This school utilizes the environment as a means of learning and maintaining the existence of plants, including breadfruit trees, which function as a source of food and traditional medicine. The results showed that soap with breadfruit leaf extract had better cleaning quality and hydrating ability compared to soap without extract. These findings indicate that breadfruit leaves can be a useful ingredient in making skin care products, as well as providing inspiration for the development of more natural and effective soap products, and supporting efforts to conserve natural resources in the school environment.

Health is a condition where the body system and organs in the body can carry out their respective functions. However, in some cases that occur in Indonesian society, health problems have begun to appear, such as diabetes, malaria, and so on. According to the analysis, the incidence of diabetes continues to increase every year. Furthermore, the plant extract that is used as a source of antioxidants is bamboo shoots. The incidence of malaria resistance has reached >25% so that several drugs such as chloroquine are no longer used as the main drug in cases of malaria. The purpose of writing is to analyze the results of a review of the pharmacological potential of plant extracts that are effective as antidiabetic, antioxidant, and antimalarial supplements. The writing method used in writing this journal is to use a qualitative type. The results of the study are that bamboo leaf extract provides effectiveness as an antioxidant. Furthermore, antidiabetic can be found in the extract of the butterfly pea flower. Then the extract of the moon flower leaf has effectiveness as an antimalarial. The conclusion drawn is that the use of natural plant extracts can be used as antidiabetic, antioxidant, and antimalariall.

Bacterial growth is one processes carried out through binary fission for its reproduction process. Bad bacteria in their growth process must course be inhibited in several ways, one which is through the consumption several herbal or traditional plants, such as torch ginger and kalanduyung extracts. The dangers cigarette smoke can reduce the health individuals. Cigarette smoke can have an impact on reducing the number of spermatozoa caused by decrease in the diameter seminiferous tubules for 45 days. The purpose writing journal is to analyze antibacterial activity of torch ginger and kalanduyung extracts on bacterial growth and the effect of cigarettes on the quality male mouse sperm. The writing method uses qualitative type. The results and conclusions that bacterial growth can be inhibited by consuming several traditional plants such as torch ginger extract and kalanduyung leaf extract. In inhibiting growth of antibacterial activity, torch ginger extract has quite good effectiveness with concentration value 20%. The value inhibition zone formed is 17.22. The use largest concentration, namely 80%, has an effective inhibition of bacterial growth which is known to have an average inhibition zone value of 14.9 mm. Furthermore, the quality male mouse sperm does not have specific effect on the provision control treatment related to provision amount of cigarette smoke.

This study concentrates on the design and construction of a laboratory-scale centrifuge for the separation of gum from crude palm oil (CPO). The extraction of gum from CPO is essential in the palm oil sector to guarantee that the finished product adheres to quality standards and is safe for consumption. We engineered the prototype centrifuge to accommodate six 600-mL bottles and achieve a maximum rotational speed of 1400 rpm. The design procedure utilised Autodesk Inventor software for CAD modelling and computations to ascertain the centrifugal force, power capacity, and shaft diameter. The process of manufacturing entailed cutting and shaping stainless steel into the necessary components, subsequently followed by drilling and milling operations for mounting points and interfaces. We implemented surface treatment to augment corrosion resistance and elevate visual appeal. The assembling procedure encompassed component integration, motor incorporation, and control system configuration. The experimental configuration involved centrifugal testing utilising 600-mL glass bottles with time intervals of 10, 20, 30, and 40 minutes at an average rotational speed of 924 rpm. The experiment showed that the centrifuge worked well to separate the gum and other contaminants from the CPO. The best separation happened after 40 minutes of centrifugation.

This research aims to automate the process of extracting information from financial transaction receipts using Optical Character Recognition (OCR) algorithm. The OCR algorithm is used to recognize characters from digital images of transaction receipts so that information such as date, transaction amount, and other details can be accurately identified. By applying image processing methods, this research successfully demonstrates the effectiveness of the OCR system in overcoming challenges such as varying receipt print quality. This research also offers practical solutions in the form of OCR-based applications that can be used in business environments to improve the efficiency and accuracy of financial transaction data management.

Introducing alphabetical sign language is necessary to bridge communication between deaf and hard-of-hearing people and their surrounding environment. This research aims to develop a sign language alphabet letter detection system based on American Sign Language (ASL). The research methods include data collection, feature extraction with OpenCV and Mediapipe, model development with Random Forest algorithm, and real-time system testing. The test results show that the developed system can achieve 97% prediction accuracy in recognizing hand patterns that represent ASL letters. The system uses a webcam as real-time input, providing accurate responses in various environmental conditions. This research contributes significantly to developing communication support technology for the deaf community, with implications for increased inclusivity and social engagement.

The purpose of this study is to determine the effects of cash holding, corporate governance, profitability, and leverage on a company's value. In this study, quantitative methods are used. An industrial sector business that was listed on the Indonesian stock exchange between 2020 and 2022 serves as the sample. 126 samples were obtained by applying the purposive sample method to data extracted from the financial accounts. Data analysis techniques include double linear regression analysis and hypothesis testing (t-testing). The findings indicate that the following factors raise a company's value: cash holding, corporate governance, profitability, and leverage.

Sentiment Analysis is a technique for extracting text data to obtain information about positive, neutral or negative sentiments. The purpose of sentiment analysis is given by internet users on social media to provide a personal assessment or opinion. Paga Lewu Shop that often gets user sentiment through social media is Paga Lewu Shop. The existence of consumer opinion sentiments about Paga Lewu Shop can be analyzed and utilized to obtain useful information for other customers and the Paga Lewu Shop. By using the Text Mining technique classification method, a sentiment will be known as positive, neutral or negative. One of the algorithms widely used in sentiment analysis is the Naïve Bayes classification method. This study uses the Naïve Bayes Classifier (NBC) method with tf-idf weighting accompanied by the addition of an emotion icon conversion feature (emoticon) to determine the existing sentiment class from tweets about the Paga Lewu Shop. The results of the study show that the Naïve Bayes method without additional features is able to classify sentiment with an accuracy value of 96.44%, while if the tf-idf weighting feature is added along with the conversion of emotion icons, the accuracy value can be increased to 98%.

Previous studies have shown that red ginger has the potential to treat PCOS because it has been proven to be able to reduce serum FSH, LH and estradiol and testosterone, inhibit the cyclooxygenase pathway, change the pituitary axis, inhibit lipoxygenase expression in various animal studies. The purpose of this study is to prove the potential of red ginger extract as a regulator of anti-androgenic, ovulation, estrogenic activity and reduce insulin resistance. The research design used was for experimental research using a post-test-only control group design. And for the analysis of the potential bioactivity of red ginger extract as an immunomodulatory agent computationally (Insilico). Animal care was carried out in the Pharmacology and Biomedicine Laboratory and has received approval from the Ethics Committee. The sample used was a female Wistar rat on the 56th day of the experiment (after modeling). All treatments were given orally for 28 times. Independent variable = Red ginger extract. Dependent variable = Dependent variables are 1. Hormones: Testosterone, LH, FSH 2. ovarian inflammation activation (PPARγ activation and anti-inflammatory cytokines IL-4 and ROS, NFKB, TNF a. 3. Insulin resistance (insulin, glucose, HOMA IR) and 4 Lipid profile (TG, HDL, LDL, cholesterol). Control variables are: 1) Gender; 2) Age; 3) Strain; 4) Food and beverage intake; 5) Maintenance and care. Quantitative and qualitative research data. using parametric tests, namely One-Way ANOVA after meeting the requirements for normal data distribution and the same data variance. The One-Way ANOVA statistical test is continued with the Tuckey test to determine the differences in each group.

Enhanced oil recovery (EOR) is the recovery of oil remaining in a reservoir after primary and secondary recovery methods because it has been exhausted or is no longer economical, using thermal, chemical or mixed gas processes. Most conventional methods are not suitable for extracting oil from high temperature and high pressure (HTHP) reservoirs due to chemical degradation in the environment. Alternatively, electromagnetic (EM) energy is used as a thermal method to reduce oil viscosity in reservoirs, thereby increasing oil production. The application of nanotechnology in EOR is also investigated. In this study, we investigate a non-invasive method by injecting dielectric nanofluids into an oil reservoir simultaneously with electromagnetic irradiation, with the aim of increasing oil production by causing disruption at the oil-water interface. During core displacement tests, ZnO and Al2O3 nanofluids were shown to obtain higher amounts of residual oil than commercial sodium dodecyl sulfate (SDS) surfactant without EM irradiation. With EM irradiation, more residual oil is obtained compared to without irradiation. It has also been shown that changing the viscosity of dielectric nanofluids during electromagnetic irradiation increases sweep efficiency, resulting in higher oil recovery.