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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.

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%.

Indtoduction : Free radicals that come from sunlight can cause cell damage and death because they are carcinogenic. SPF is the effectiveness of a sunscreen in protecting the skin from the sun. Kawista stem bark (Limonia acidissima Groff) has potential as a sunscreen. Purpose: to analyze the SPF value of ethanol extract, n-hexane fraction, ethyl acetate fraction and water fraction. Method :  Extraction by maceration method with 96% ethanol and fractionation by liquid-liquid extraction method. Phytochemical screening. SPF analysis by spectrophotometric method with the Mansur equation. One-way ANOVA statistical analysis. Results: The SPF values ​​of ethanol extract, ethyl acetate fraction, water fraction and n-hexane fraction respectively along with sunscreen protection categories were SPF 12.77 (maximum protection), SPF 11.77 (maximum protection), SPF 11.67 ( maximum protection) and SPF 7.146 (extra protection). Conclusion: The highest SPF value was found in ethanol extract as a semi-polar solvent. The lowest SPF value was obtained in the n-hexane fraction as a non-polar solvent.

Introduction : Indonesia is country that passed by the equator causing sunlight intensity increase that causes skin problems. Sunscreen is a cosmetic which used to protect skin from sun exposure. Kawista stem bark (Limonia acidissima Groff) has a flavonoid dan phenolic as UV protector. This study analyzed SPF values of ethanol extract, n-hexane fraction, etil acetate fraction, water fraction and sunscreen cream. Method : Spesific and non spesific standardization of ethanolic extract. Extraction using maceration method with 96% ethanol. The suncreen cream were made in 2% (F1), 4% (F2) and 6% (F3) concentration. Physical characteristics has tested include organoleptic, homogeneity, pH, dispersibility and adhesion and viscosity. Oneway ANOVA and kruskall wallis test statistic analysis. Oneway ANOVA and kruskall wallis test statistic analysis. Result : SPF values on F1 is 3,63 (minimal protection); F2 is 7,53 (Extra protection) and F3 is 15, 43 (Ultra protection). Conclusion : All three cream formula has a different significant SPF values (p < 0,05). The suncreen cream fulfilled the requirements of physical characteristics.

The aim of a case study research method is to understand the meaning, the depth as well as the methods performed in previously done researches on any given context and phenomenon. Within the topic of the relationship between the use of biophilic architecture concept and its positive impact towards its users’ mental health, literature research under the same theme is of a necessity in order to gain a stronger base for next researches. This study is conducted using three case studies, each discussing their research backgrounds, the experimental and exploratory methods used, the results in details. Using case study method, this study has succeeded in extracting the finding and the gap of the research as described in form a table.

As stated in Law Number 17 of 2014 concerning the People's Consultative Assembly, the People's Representative Council, the Regional Representative Council and the Regional People's Representative Council, the supervisory function is the authority given and implemented by the DPRD to the regional government in order to supervise the implementation of regional government to ensure that The policies taken are for the welfare and interests of the people. The South Tangerang City Government (Tangsel) is a new autonomous region that was born based on Law no. 51 of 2008 concerning the Establishment of South Tangerang City in Banten Province. During the first three years after its formation, the City of South Tangerang was able to extract local revenue (PAD) which came from legal taxes, levies and other things. In South Tangerang City, regional financial management is regulated by PERDA No. 2/2022 which emphasizes principles such as transparency, efficiency and accountability in the preparation of the APBD. The South Tangerang City DPRD plays a crucial role in supervising, ensuring transparency and accountability in regional financial management.

Data mining is a technique for extracting new information from data warehouses, information is seen as very important and valuable because by mastering information it is easy to achieve a goal, this makes everyone compete to obtain information, as is the case with the Dimsum business at Dimsum Madani.toko. This is located on Jalan Lampu gg. Pelita 4, Brayan Bengkel, East Medan, the location is close to many Brayan Resident's Houses. This of course affects sales levels. Increasing daily sales activity results in an accumulation of sales transaction data that continues to increase, thereby burdening data storage. Unfortunately, this data is only stored without further processing. In fact, this data collection holds valuable information.This research uses Market Basket Analysis with the Apriori Algorithm to find association patterns based on consumer shopping behavior. The goal is to identify items that are often purchased together. The research results showed that the combination of Seaweed Dimsum with Tofu Skin Spring Rolls had the highest support value (50%) and the highest confidence (75%).

The incidence of diabetes continues to increase worldwide. The state of hyperglycemia during pregnancy can trigger oxidative stress which can result in hypoxic conditions in the tissues characterized by an increase in HIF-1α. Basil which contains antioxidants is expected to reduce the expression of HIF-1α. This study aims to determine the effect of the administration of basil on the expression of HIF-1α in gestational diabetes mellitus model rats. To determine the effect of the administration of basil extract (Ocimum basilicum) on the expression of HIF-1α in gestational diabetes mellitus model rats. This research is experimental research conducted using the post test only control group design method. The research sample used biological material stored from rat RNA that had been induced by streptozotocin 40 mg/kgBB as an animal model of DMG in humans stored in the Biomedical Lab, FK Unand. The results of this study indicate the effect of the administration of basil extract (Ocimum basilicum) on the expression of HIF-1α in gestational diabetes mellitus model rats. Researchers used conventional PCR tools and still manually used ImageJ to look for HIF-1α expression values from electrophoresis results, so the possibility of bias still exists.

This research designs a system to classify apple leaf diseases using RGB (red, green and blue) color feature extraction. The essence of this research is to design a system to recognize and determine disease on apple leaves based on RGB color features using the Matlab 2024 application. The data in this research uses apple leaf images from kaggle.com, which are then cropped and adjusted to the image shape and precision in the leaf image. , Increasing the contrast of the cropped image and converting it to a grayscale image, Determining the threshold for binarization and converting the grayscale image to a binary image, Detection of green, yellow, and black/gray pixels based on RGB values ​​and calculating the proportion of each color, Detection of pixels scab by filtering out black/grey pixels that do not include green or yellow pixels Classification of leaves based on the proportion of detected colors. With the method that has been passed and uses apple leaf data, namely Healthy, Rust and Scab, each data contains 20 images with a total of 60 images and the level of accuracy is determined using the labeling method for each data and reaches the final result with an accuracy level of 86, 6667% which has a fairly accurate meaning  

In the execution of regional autonomy, local taxes and levies stand as crucial sources of local revenue aimed at financing various endeavors of local governance. The South Kalimantan Provincial Government has regional financial challenges in the future, in increasing the independence and optimization of its local taxes in order to increase PAD. The aim of this research was to investigate the impact of entertainment tax, restaurant tax, and hotel tax on regional original income. This study employed quantitative methods, utilizing secondary data extracted from the South Kalimantan regional government financial report (LKPD) spanning from 2019 to 2021.The sampling technique used is a saturated sample. the regression test results prove that restaurant and entertainment taxes have no effect on (PAD) while hotel taxes have a positive effect on (PAD). The limitation of this study is that the independent variables used are limited to three types of local tax variables, namely restaurant, entertainment and hotel taxes, without making demographic factors, area and income level as intervening or moderating variables. Local taxes will be able to have a positive influence if supported by adequate demographic and geographic factors. 

The utilization of natural materials in household products is increasingly in demand along with the increasing awareness of the importance of maintaining environmental sustainability.One innovative way to utilize natural materials is by utilizing pandanus leaves into natural dyes. Pandanus extract was chosen because of its active compounds that have antibacterial properties and a refreshing aroma.This activity was carried out with the women of the Forum Kesehatan Keluarga (FKK) in Jogoprono RW VI Sadeng Village, Gunungpati District, Semarang City. The purpose of this activity is to increase community awareness and skills in using environmentally friendly soaps that are not only beneficial for health but also contribute positively to the environment.The methodology used in this paper uses a qualitative method with an experimental approach.The results of the activity show that the utilization of pandanus extract in liquid soap not only provides an alternative cleaning product that is safer for the environment but also empowers the local community through active involvement in the production process. In addition, this activity is expected to serve as a model for similar initiatives in creating eco-friendly products that empower communities and support environmental conservation.

This study aims to provide a bibliometric analysis of course-based undergraduate research experience from 2010-2023. Data were extracted from the Scopus database and analyzed using VOSviewer. A total of 67 related publications were analyzed and mapped. According to bibliometric analysis, course-based undergraduate research experience, inquiry-based learning, and upper-division undergraduate become the center of the topic in the study of course-based undergraduate research experience in chemistry. It also shows that collaborative/cooperative learning, discovery learning, problem-solving/decision-making, first-year undergraduate, organic chemistry, and chemical education research. are among the novel and emerging topics in course-based undergraduate research in chemistry. This research is expected to provide a better understanding of the challenges and opportunities of studying course-based undergraduate research experience in chemistry.