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Perennial rupture is an injury to the birth canal that occurs during the birth of a baby, whether using tools or not using tools. Perineal rupture is caused by parity, gestational spacing, maternal age, perineal stiffness, birth position. baby's weight, vacuum extraction, instrument trauma, episiotomy and wrong bowel movements. Perineal rupture if not treated immediately will cause bleeding. The aim of this study was to determine the relationship between birth weight of babies and the incidence of perineal rupture in mothers giving birth in the Sei Langkai Community Health Center working area, Batam City in 2023. This research design used cross sectional, the sample taken in this study was 30 people. The processing technique uses the Fisher Exact Test. The data obtained from the results of statistical tests is p-value = 0.037. The conclusion of the research is that the characteristics of the mothers giving birth are mostly aged 20-35 years with most parity being multiparous. Most babies are born with a weight that is not at risk (< 4,000 gr). There is a relationship between the birth weight of the baby and the incidence of perineal rupture in the Sei Health Center Working Area. Langkai with a p-value of 0.037 so that the p-value < α (0.05). It is hoped that this research can be used as input and consideration in further research.

The problem that occurs to the customer service officer at the time of location is when the customer service officer handles passengers who come to ask for information related to the flight or a problem at the airport and so on. This research aims to find out how the effective kuminukasi strategy by customer service officers in improving service to passengers at PT. Angkasa Pura I at Zainuddin Abdul Madjid Lombok International Airport. This research was conducted in 2023 at Zainuddin Abdul Madjid Lombok International Airport using a qualitative method and the data collection was sourced from passengers experiencing communication problems. The next source comes from extracting data sources through online interviews with customer service officers about effective kuminukasi strategies for passengers, observations or direct observations on related objects. The results of research that has been carried out by researchers regarding how the effective form of communication of customer service officers in improving services to passengers related to flight information to passengers and others. In addition, there are also factors that can affect effective communication with passengers, namely knowledge, perception, emotional, and a Clear and Simple Language environment in terms of the use of easy-to-understand language and the avoidance of complex technical terms to ensure that all passengers can understand the information conveyed well.  

        Tribulus terrestris L.,Gokshur in Sanskt,  is an annual herbaceous, little prostrate, silky from the Zygophyllaceae family. It is found in extensive, arid, and scorching regions of India. is used in traditional folk medicines as an aphrodisiac, astringent, lithotriptic, diuretic, and urinary disinfectant.     however, uneven, pinnae, elliptical leaves. Sprinkled, round, compressed, five-cornered, transverse partitioned carpel fruits with many seeds ripen in July. Pieces of the cylindrical-fibrous root are 7-18 cm and 0.3-0.7 cm wide. According to reported studies, the investigations indicated the presence of the saponins ;gitogenin, tigogenin, neogitogenin, hecogenin, and flavonoid tribuloside was kaempferol-3-glucoside. Furthermore, Tribulus terrestris plays a vital role in hepatotoxicity and is greatly reduced by Tribulus extracts. Similarly, T.terrestris plays a remarkable role in reducing the elevated level of serum glucose, triglycerides, VLDL, and cholesterol. This study aims to conduct a preliminary analysis of the phytochemicals of Tribulus leaves cultivated in Iraq and to determine the active constituent of the ethanolic extract of the leaves using Gc-Mass. Qualitative detection of herbal leaves in Iraqi soil, investigated by GC-MASS revealed important constituents. The funding shows a new compound; dihydrocoumarin and other major constituents neophytadiene and alpha-tocopherol.

Determination of total flavonoid levels is calculated based on the linear regression equation based on the calibration curve of the quercetin standard solution from the reading results of the UV-Vis spectrophotometry tool. The absorbance value (ppm) is entered into the linear regression formula as the y value, while the x value is the concentration of flavonoids in the working sample solution. The results are stated in triplicate and the flavonoid content is stated with the equivalence of flavonoid standards using quercetin standard standards, qualitative and quantitative research methods to determine metabolite compounds and determination of levels using UV-vis spectrophotometry. Qualitative testing is carried out by taking a thick extract and adding reagents according to the identified compounds. Based on the results of the tests carried out, it shows that alkaloid, flavonoid, steroid, triterpenoid, tannin, and saponin compounds show positive results while quinone compounds show negative results. Quantitative testing From the results of this study, the total flavonoid content of the ethanol extract of itching leaves (Laportea stimulans) was 175.961%. Based on the results of qualitative tests, it shows that the ethanol extract of itchy leaves (Laportea stimulants) positively contains several compounds including alkaloids, flavonoids, steroids, terpenoids, tannins, and saponins which are indicated by changes in color. Based on the results of quantitative tests, it shows that the determination of the content of 95% ethanol extract of itchy leaves (Laportea stimulants) spectrophotometrically at a wavelength of 430 nm has an average total flavonoid content of 0.2999%.  

Caries is caused by microbial activity of a fermented carbohydrate. The results of Basic Health Research (RISKESDAS) state that the largest proportion of dental problems in Indonesia are damaged/cavities/sick teeth (45.3%). Preventive efforts gargling mouthwash contains antibacterial, long-term use has side effects, so we need herbal ingredients that have antibacterial properties, one of which is celery leaves. This study aims to prove the potential of celery leaf extract (Apium graveolens L.) as a mouthwash ingredient in inhibiting the growth of caries-causing bacteria and being able to reduce the number of bacterial colonies compared to formulary controls without active ingredients. This type of research used laboratory and field experiments with pretest-posttest consisting of the intervention group of celery leaf extract mouthwash formulation concentrations of 30%, 15% and control formulary without active ingredients, the sample consisted of 39 people, the sample was rinsed for 1 minute. Saliva collection before and after gargling. The variables studied the inhibition of bacteria. The results of the inhibition of Streptococcus mutans bacteria carried out by the ANOVA test at a concentration of 15% showed a mean of 5 mm and a concentration of 30% with a mean of 6.2 mm with a p-value of 0.000 which means that there was a significant difference in inhibiting Streptococcus mutans bacteria, while the control had a mean of 0. 0 mm which means there is no resistance formed. The conclusion of this study is that giving celery leaf extract mouthwash Calculate the inhibition zone with a concentration of 15%, 30% being able to inhibit bacteria while the control has no inhibition on Streptococcus mutans bacteria.

The increasing use of conventional medical supplies has led to significant environmental challenges due to waste accumulation and the chemical exposure risks faced by healthcare workers. Despite ongoing efforts to adopt environmentally friendly materials, there is a lack of comprehensive studies that combine Life-Cycle Assessment (LCA) with direct monitoring of worker exposure. This study aims to compare the environmental and health impacts of biodegradable versus conventional medical supplies by assessing their life-cycle stages, energy consumption, carbon footprint, and hazardous exposure risks. A novel comparative approach was adopted, integrating LCA to evaluate raw material extraction, production, usage, and disposal processes, alongside monitoring the occupational exposure to chemical residues from medical supplies. The results indicate that biodegradable medical supplies reduce environmental footprint by approximately 40%, lower energy consumption, and generate less waste compared to conventional plastics. Additionally, the study shows that biodegradable materials pose a significantly reduced risk of chemical exposure to healthcare workers, offering a safer alternative. However, biodegradable materials present limitations, such as availability, durability, and higher initial costs, which need to be addressed for widespread implementation. The findings emphasize the importance of integrating sustainable practices in healthcare settings, offering actionable insights for hospital management and regulatory bodies. Future research is recommended to further explore the cost-effectiveness of biodegradable materials, conduct large-scale trials, and investigate alternative material types. This study contributes to the growing body of knowledge on environmental sustainability and occupational safety in healthcare, providing a valuable framework for future policy and operational decisions.

Ekstraksi fitur, juga dikenal sebagai ekstraksi fitur, adalah proses mengubah data mentah menjadi representasi yang lebih ringkas dan berguna yang dapat digunakan untuk analisis atau pemodelan lebih lanjut. Ini dilakukan pada tahap preprocessing sebelum masuk ke tahap analisis atau pemodelan. Pewarnaan alami dari berbagai tanaman yang menghasilkan warna tanin setelah pencelupan dikumpulkan menjadi satu alur gradasi warna yang berkaitan dengan susunan derajat atau peningkatan, peralihan warna dari satu warna ke warna lain. Variasi dalam alur ini dipengaruhi oleh jenis tanaman, lama pencelupan, jenis fiksasi yang digunakan, jenis kain, dan lokasi tanaman yang dijadikan sampel.Metode ekstraksi fitur dengan Matriks Co-Occurrence Level Gray (GLCM) digunakan untuk mengidentifikasi gradasi warna yang dihasilkan oleh pewarnaan pada daun Ketapang. Proses ekstraksi fitur tekstur dari gambar tanaman Ketapang menggunakan matriks GLCM digunakan untuk menganalisis dan memahami pola warna alami tanaman Ketapang di berbagai lokasi geografis. Untuk menggambarkan dan mengukur pola warna alami tanaman Ketapang, Gray Level Co-occurrence Matrix (GLCM) adalah representasi statistik dari distribusi spasial intensitas piksel dalam citra, yang mengukur frekuensi kemunculan pasangan intensitas piksel yang berdekatan dan memberikan informasi tentang tekstur citra

Ciplukan leaves, kamilen flowers, and stevia leaves are widely used herbal plants known for their pharmacological activities, which are mainly attributed to the presence of secondary metabolite compounds. These compounds play an important role in providing therapeutic effects such as antioxidant, anti-inflammatory, and antimicrobial properties. One approach to enhancing the effectiveness of these plants is by combining them into a single preparation. This study aims to identify the content of secondary metabolite compounds in a combined infusion (infusa) of ciplukan leaves, kamilen flowers, and stevia leaves. The research method used is a laboratory experimental approach, which includes plant determination, preparation of infusion, and phytochemical screening. The infusion process is carried out to extract active compounds using water as a solvent under controlled conditions. The phytochemical screening is conducted to qualitatively detect the presence of various bioactive compounds. The results of the screening on three formulations (F1, F2, and F3) show that all infusa preparations contain several important secondary metabolites, including alkaloids, flavonoids, saponins, tannins, and terpenoids. These findings indicate that the combination of the three herbal plants has the potential to provide enhanced pharmacological effects due to the diversity of active compounds present in the formulation.

Pear skin contains flavonoids which have potential as antioxidants. Considering the existence of humans as social creatures, interacting with each other requires self-confidence to be well accepted. For this reason, humans need self-care to appear charming, attractive and full of self-confidence. Masks are a type of cosmetic treatment that is well known and widely used. The mask works deeply to remove dead horn cells on the skin. This research aimed to determine the potential antioxidant activity of the ethanol extract of pear peel (Pyrus bretschneideri) which was formulated as a sheet mask preparation. Extraction was carried out by maceration using 96% ethanol to obtain pear peel extract. The antioxidant activity test method was carried out using the DPPH (2,2-diphenyl-1-picrylhydrazyl) method. The results obtained from the concentration of the sheet mask preparation of pear peel extract (Phyrus bretschneideri) were homogeneous and stable. The pH results obtained from F0 (5,1), F1 (5,4), F2 (5,5), F3 (5,6), are still within the safe range of facial skin pH. The results of the antioxidant activity test showed that the IC50 value for F1 was 84.58 ppm with intensity (Strong), F2 69.96 ppm with intensity (Strong), and F3 63.79 ppm with intensity (Strong).

Fingerprint recognition is a popular biometric technology due to its unique properties and high accuracy rate. Fingerprint recognition systems generally use fingerprint image representations, such as grayscale images, phase images, skeleton images, and minutiae. In this research, fingerprint image pre-processing is performed using Gaussian Blur, Median Blur, Thresholding, Otsu Thresholding, Thinning with Guo-Hall algorithm, and Minutiae Detection. Minutiae detection produces 426 termination points and 459 bifurcation points. The results of the pre-processing and minutiae detection were then used for minutiae matching on 5 different images. Minutiae matching produces varying degrees of similarity with a high level of accuracy, reaching an average accuracy of 88.80%.

Life skills education is learning about the skills a person has to help deal with problems in life to integrate with the surrounding environment in any condition to help improve his quality of life. Anthology Wacan Bocah Sithik Eding is a children's storybook that uses Javanese language and there are lessons for children to learn. This research aims to explain personal life skills and describe personal life skills in the Anthology of Wacan Bocah. The method used is the qualitative method which explains the statement with description. The data source in this research is Anthology Wacan Bocah Sithik Eding. The data in this research are sentences extracted from the Wacan Bocah Sithik Eding. The instruments used are the researcher himself and the book Anthology of Wacan Bocah Sithik Eding. How to collect data by reading the wacan bocah, recording the data, and classifying the data. The method of data analysis used is reading the wacan bocah from beginning to end, classifying the data, and recording the data in the research. The results of the research is describe personal life skills education for children in the anthology of wacan bocah Sithik Eding. Personal life skills are self-awareness, rational thinking, and confidence.

The advancement of e-commerce has changed the way people shop. However, there is a mismatch between the actual quality of a product and the seller’s description. Product reviews are an important source of information for making purchasing decisions. However, processing large numbers of reviews manually is difficult. This research aims to detect emotions in Indonesian language product review texts using contextual embeddings. The public dataset used was PRDECT-ID, which comprises five emotion labels. The methods used include data preprocessing, feature extraction using contextual embeddings such as Bidirectional Encoder Representations from Transformers (BERT), and classification using Decision Tree, Naïve Bayes, and k-Nearest Neighbors (KNN). Among the compared models, the KNN model demonstrated the highest improvement, achieving a 15.09% enhancement over the decision tree results. This research provides insights into the effectiveness of contextual embeddings in detecting emotions in Indonesian language product review texts.

An innovative and sensitive method for extracting liquid-liquid flour using pre-mixingwith the single-drop microextraction technique. This working system is distinguished by itsability to be applied to chemical and biological analyses. It is suitable for microfluidics, has ashort time, is free of contaminants, and has a simple design that can be installed anywhere inthe laboratory. The working system consists of several basic parts: a pump device to pump orfall back the organic and aqueous phase from the liquid-liquid micro-system through micro-rubber tubes and two precise micro-needles to generate drops, two mixers using two magneticclamps on two graduated holders, and a precise micro-mixer to complete the mixing process.Study of the main variables in the system containing dithizone (0.0001 M). ) in CHCl₃ solventsolution and aqueous copper chloride solution (1000 ppm) to see how they affect theextraction performance obtained by this method. The effect of the copper concentration in theinitial sample, the speed of the mixer, and the flow rate were discussed and studied, and thebest conditions were determined: for (2 ml) sample an aqueous solution of copper (II)chloride, the optimal concentration of copper. (II) in the analyzed sample is (0.0001M), thespeed of the micromixer is maximum, and the pump flow rate is (0.5 ml /sec). In theseoptimal conditions, the degree of extraction was (97±2%).

One of the most significant species in the Lamiaceae family, thymus vulgaris isendemic to the Mediterranean region and is used widely for both medicinal andculinary purposes. this study aims to evaluate the use of natural antimicrobials asan alternative therapy because the long-term use of antibiotics in the treatment ofacne has resulted in the formation of resistance. It may be inferred that Thymusvulgaris (T. vulgaris) extracts have the ability to suppress the test bacteria in theplan, indicating that they may be used as antimicrobial agents against pathogenicbacteria.

Plants have several ways to protect themselves from bacteria, one of which is by producing compounds that are toxic or repellent to bacteria. Compounds produced by plants are known as secondary metabolite compounds which originate from secondary metabolic processes. Several secondary metabolite compounds such as flavonoids, alkaloids, saponins, tannins, steroids and terpenoids are currently widely used as antibacterials. One of the plants that has the potential to be developed as a herbal medicine is kaffir lime leaves. Citrus hystrix is ​​the part of the plant most often used by the public. Both for cooking and traditional medicine purposes. In this research, it is hoped that lime peel extract can act as an antibacterial for Escherichia coli and staphylococcus aereus, so that it can be used as a herbal plant for diseases caused by these two bacteria. In the research, the concentrations used for each test bacteria were 50%; 25%; 12.5%. in observing S. aureus bacteria 1x24 hours with a concentration of 50%, the size of the inhibitory zone was 16 mm, the 25% concentration was 11 mm and the 12.5% ​​concentration was 9 mm. Meanwhile, E. Coli bacteria did not show any reaction to the heruk peel extract.

Plants have several ways to protect themselves from bacteria, one of which is by producing compounds that are toxic or repellent to bacteria. Compounds produced by plants are known as secondary metabolite compounds which originate from secondary metabolic processes. Several secondary metabolite compounds such as flavonoids, alkaloids, saponins, tannins, steroids and terpenoids are currently widely used as antibacterials. One of the plants that has the potential to be developed as a herbal medicine is kaffir lime leaves. Citrus hystrix is ​​the part of the plant most often used by the public. Both for cooking and traditional medicine purposes. In this research, it is hoped that lime peel extract can act as an antibacterial for Escherichia coli and staphylococcus aereus, so that it can be used as a herbal plant for diseases caused by these two bacteria. In the research, the concentrations used for each test bacteria were 50%; 25%; 12.5%. in observing S. aureus bacteria 1x24 hours with a concentration of 50%, the size of the inhibitory zone was 16 mm, the 25% concentration was 11 mm and the 12.5% ​​concentration was 9 mm. Meanwhile, E. Coli bacteria did not show any reaction to the heruk peel extract.

This research aims to classify news headlines into clickbait and non-clickbait using the Multinomial Naive Bayes method. The data used comes from the dataset CLICK-ID: A Novel Dataset for Indonesian Clickbait Headlines. The research process involves stages of data collection, preprocessing, feature extraction, model training, model evaluation, and result analysis. The test results show that the Multinomial Naive Bayes algorithm consistently produces an accuracy rate of around 78%. Optimization using Grid Search did not result in an accuracy improvement. However, there was an improvement in the recall value for the non-clickbait class from 76% to 80%. The best parameter found was an alpha of 0.15. Therefore, the Multinomial Naive Bayes algorithm can be effectively used to address the problem of classifying clickbait news headlines, with the potential to contribute to clickbait prevention efforts in the future.

. Avocado seeds are one of the plants used as a medicine for diabetes mellitus with the Latin name (Persea americana Mill.). Avocado seeds contain compounds such as alkaloids, flavonoids, saponins, tannins and triterpenoids which are beneficial for health. This study aims to determine the effect of avocado seed extract (Persea americana Mill.) on the growth of Staphylococcus aureus bacteria in diabetic wounds using the disc diffusion method. The extraction process is by maceration using 96% ethanol. The treatment was repeated 4 times with extract concentrations of 25%, 50%, 75%, 100%, as a positive control Ciprofloxacin and DMSO (Dimetyl Sulfoxide) as a negative control. The results of phytochemical screening show that avocado seeds contain alkaloids, flavonoids, saponins, tannins and triterpenoids. Based on the results of research conducted, avocado seed extract can inhibit the growth of Staphylococcus aureus bacteria as an inhibition zone is formed. The most effective concentration in inhibiting the growth of Staphylococcus aureus bacteria is at 100% concentration of 10.14 mm.

The main objectives are to identify emotion patterns hidden in K-Pop music based on audio features extracted from the Spotify API and to build an emotion classification model that can predict the emotions of K-Pop songs.In this approach, the K-Means algorithm is used to cluster K-Pop songs based on audio features such as energy, valence, tempo, danceability, and speechiness. The clustering results reveal several main groups that represent variations in musical characteristics and emotions. Next, the C4.5 algorithm was used to build an emotion classification model based on the clustering results. The C4.5 model showed high performance with accuracy reaching 99.48% on a 90:10 dataset split, 99.21% on an 80:20 split, and 98.95% on a 70:30 split.The Streamlit application was developed to visualize emotion predictions from K-Pop songs with a web-based user interface. In addition, Ngrok was used to provide remote access to this application, allowing users to test and use the application remotely.The results of this study show that the combination of K-Means and C4.5 can effectively cluster and classify emotions in K-Pop music, providing valuable insights into the musical characteristics that influence emotions. This application has the potential to be used in further analysis, development of intelligent features in music applications, and improvement of user experience in listening to K-Pop music.

The process of identifying the ripeness level of cayenne peppers is an important step in cultivation and post-harvest handling. Dependence on the quality factors of farmers, such as visual diversity and differences in ripeness perception, results in subjective harvest outcomes. This manual process is also prone to inconsistent results, as humans have time limitations, fatigue, and sometimes lack concentration when sorting for long periods. To minimize these issues, technological intervention is needed to mechanically classify the ripeness level of cayenne peppers. This research aims to develop a classification model for the maturity level of cayenne pepper plants. This research proposes the use of the CNN method for feature extraction and KNN for data classification based on the features extracted by CNN. From the test scenarios carried out, the classification carried out by KNN based on CNN feature extraction got the best accuracy of 99.33%, while the CNN classification model got the best accuracy of 87.33%.