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This study aims to determine the effect of various biochar materials and doses of chicken manure on soybean growth and yield.  The research method used a 2 factorial Randomized Group Design. The first factor is the treatment of various biochar materials consisting of 4 levels, namely: no treatment, corn cob biochar, jengkol skin biochar, rice husk biochar. Factor II is chicken manure consisting of 0 ton/ha, 5 ton/ha, 10 ton/ha and 15 ton/ha. The results showed that the provision of biochar on the growth and yield of soybean plants had a significant effect on the parameters of stem diameter, number of pods, dry weight of seeds/plant, dry weight of 100 seeds. The provision of jengkol skin biochar gave the highest effect on stem diameter (1.750 cm), number of pods (181.60 pods), dry weight of seeds/plant (45.64 gr), weight of seed/m2 (442,98 g). The application of chicken manure on the growth and yield of soybean plants gives a significant effect on stem diameter, number of pods, dry weight of seeds/plant, dry weight of 100 seeds. The dose of chicken manure 15 tons/ha showed the highest effect on stem diameter, number of pods, dry weight of seeds/plant, dry weight of 100 seeds. The interaction of biochar and chicken manure fertilizer did not give a significant effect on all treatments.  

Waste is a serious problem in Indonesia, including in Medan Belawan Regency. The Waste Bank Program is presented as a solution for waste management and community economic empowerment. This study aims to determine the role of the Waste Bank in community income. The research method used is descriptive statistics presented in the form of frequency distribution tables, histograms, steam and leaf (stem and leaf diagrams) or box plots (box line diagrams). Data collection was carried out through interviews, questionnaires and observations. The data analysis technique used is statistical analysis. The Waste Bank Program in Medan Belawan Regency has provided economic, social and environmental benefits. Economic benefits include increasing community income, creating jobs, and saving waste transportation costs. Social benefits include increasing public awareness of the importance of good waste management, and increasing public concern for the environment. Environmental benefits include reducing rubber production, reducing environmental pollution, and preserving natural resources. The Waste Bank Program in Medan Belawan Regency is one example of the application of an effective and sustainable green economy concept. This program can be a model for other waste management programs in Indonesia.

Learning videos are a medium or tool used in the educational process to convey information, concepts or learning materials to students using visual and audio elements. The aim of this design is to make teaching and learning activities enjoyable and effective. This learning video was made using Adobe After Effects to create the animation. The design of this learning video uses the ADDIE method. Then to collect data using a questionnaire with 6 question indicators, from the 6 question indicators a score of 57.5% was obtained, so it can be concluded that this learning animation video can be said to be successful and able to help in teaching and learning activities at MIM Pundungrejo. , Tawangsari, Sukoharjo. This 2D animated learning video contains roots, stems, leaves, fruit and flowers. This design aims to make students interested in studying and knowing the structure of plants and their functions in everyday life.

In the modern era, 21st century skills and chemistry concepts become very crucial to face global challenges. This study aims to analyse the representation of 21st  century skills and chemistry concepts in the film The Martian (2015). This research uses content analysis method with a qualitative approach. The findings show that the film depicts skills such as Problem-solving, collaboration, critical thinking, research skills, effective communication, technological literacy, and adaptability, as well as chemistry concepts such as chemical property/property of oxygen, green chemistry, electro chemistry, chemistry reaction, Stoichiometry, Radiochemistry, physical chemistry, Chemistry Reaction: Reduction-Oxidation reaction. The implications of this study underscore the potential of films as an effective learning medium for teaching scientific skills and concepts that are important in STEM education. It is recommended that educators utilise film as a tool in the learning process.  

Dragon fruit plants originating from Central and South America have not been widely cultivated. This plant has only been cultivated intensively in several countries such as: Israel, Colombia, Nicaragua, Vietnam, Thailand, China and Australia. Macroscopic identification showed that the fungi associated with dragon fruit stems had similarities to the colony form of Colletotrichum gloeosporioides sp. Trichoderma is known to have antagonistic abilities against pathogenic fungi. Trichoderma is easily found in soil ecosystems and plant roots. The method in this study is a survey method. Determination of the sample using purposive sampling or Judgmental sampling method, namely purposive sampling is a sampling method that selects objects (vines) that are considered attacked or have symptoms of pathogen attack. Trichoderma sp is also tolerant to stress and able to inactivate pathogenic microbial enzymes. In addition, Trichoderma sp. Able to produce enzymes that hydrolyze pathogenic cell walls which will inhibit the synthesis of pathogenic cell walls and increase their fungicidal activity, as a result of which pathogenic fungi experience a decrease in growth rate.

Utilizing white pepper peel waste (Pipper nigrum L.) as compost can minimize the problem of pepper peel waste. This research uses black soldier flies (BSF), the results of which are maggots as fertilizer for the growth of potpourri tomato plants (Lycopersicon pimpinellifolium). The aim of this research is to determine the quality of compost from white pepper skin waste resulting from bioconversion using BSF, and its effect on the growth of potpourri tomato plants. This research used an experimental method by pre-fermenting white pepper skin waste using 50 ml EM4 for 2, 3, 4 weeks and then using it as food for BSF larvae. Next, the cassava results are applied to potpourri tomato plants with P1 (1 kg of soil: 5 kg of cassava 2 weeks), P2 (1 kg of soil: 5 kg of cassava 3 weeks), P3 (1 soil: 5 kg of cassava 4 weeks), P4 (1 kg : 10 kg cashgot 2 weeks), P5 (1 kg : 10 kg cashgot 3 weeks), P6 (1 kg : 10 kg cashgot 4 weeks) and control (soil without cashgot). The data were analyzed using ANOVA via the SPSS 26 application. The cassava application showed that there was a significant effect on the highest plant height P6 (22.98 inches), the highest stem diameter P1 (4.58 mm), the highest number of leaves P3 (108.67 leaves), the highest fruit diameter was P2 (17.97) and the highest fruiting time was P0 (29.75). The highest number of fruit is P1 (13 fruits/plant), the highest fruit weight is P5 (39 grams/plant). In conclusion, P1 treatment is the best quality compost for the growth of potpourri tomatoes which is thought to have N (0.22%), P (0.15%), K (0.01%), C-organic (5.84) and a C/ N (26.5).

The author's motivation for undertaking this study stems from a previous observation that instructors continued to employ an expository method that was monotonous and devoid of variety. The instructor primarily employs the lecture method to impart the learning material, which restricts their ability to utilise infrastructure and facilities such as mind mapping and concentration for the students. This form of inquiry employs descriptive qualitative research methodology, specifically characterising a symptom associated with a current event. By utilising data collection methods such as documentation, interviews, and observation. Class V students served as the primary informants, while the Islamic Religious Education Instructor and the School Principal provided supplementary information. Following this, the author conducts data analysis through data reduction, data presentation, and conclusion drawing from the study. The findings of the study indicate that: 1) The expository method was implemented with PAI subjects. After conducting research on its learning applications, it has been optimised. Because educators possess a professional demeanour and impart knowledge in accordance with their academic credentials. 2) Possessing assets that serve as corroborating elements in the instructor's implementation and utilisation of learning resources pertaining to Islamic religious education that are accessible and deemed satisfactory in their efficacy. However, there are impediments: a) the teacher's capacity to design learning is constrained (insufficient), b) the length of the teacher's explanations is excessive, c) the reliance on textbooks lacks creativity and is monotonous, and d) educators' endeavours to surmount challenges are also hindered. when the expository method is applied to PAI subjects:. 3) Efforts made by educators to overcome inhibiting factors in the application of expository methods, especially in PAI subjects, can be overcome by developing expository methods, such as using teaching aids, and supplementing with worksheets, and using textbooks that are less imaginative, rigid, and emphasized. on factual learning, memorization, and so on. Thus, it can be stated that the application of the expository method in the implementation of the Islamic Religious Education learning process produces a good learning process and can improve student learning achievement.

Objective: To review the literature on the use of banana plants (Musa paradisiaca L.) in Indonesia. Method: A systematic search was carried out to identify relevant articles in 3 bases, namely (Google Scholars, research.gate, and Pubmed). Both include the product produced, how it is made, the contents of the banana plant samples and the evaluation of the product so that it can be accepted by society. Data analysis is based on a checklist prism with specified criteria Results: Five journals were selected because they included the desired review journal criteria. All types of products play an important role with different types of preparations and also different properties and ingredients. Conclusion: There are not many articles that discuss cosmetic products from banana plants, therefore this article was chosen to find out the contents of the banana plant samples. Most are from the skin of the banana, but some are also from the stem of the banana. Apart from that, one article discusses various benefits or parts of the banana plant which can be used as a basic ingredient for cosmetics. The content of secondary metabolites in banana plants, such as the main flavonoids, functions as an antioxidant which is much sought after in natural cosmetic products from this banana plant. Extraction was carried out for all preparations using the maceration method with ethanol solvent. And evaluation tests show that all articles conclude that all parts of the plant are capable of meeting standards to be formulated into cosmetic preparations.    

Diabetes Mellitus (DM) is a metabolic disorder characterized by high blood sugar levels due to insulin deficiency. Factors causing Diabetes Mellitus (DM) are lifestyle which includes diet, lack of exercise, monitoring blood sugar, and medication. Most people do not realize that they have DM and only find out when they experience severe symptoms. To avoid this, the k-Nearest Neighbor (KNN) method can be used to predict the possibility of developing diabetes. The aim of this research is to classify diabetes mellitus using the K-Nearest Neighbor (KNN) method and make people more aware of the risk of disease through healthy lifestyle changes. Data received from the Dharma Husada Clinic is categorized based on researchers' needs, including age, BMI, insulin, skin thickness, glucose, diabetes, genetics, and insulin. This research was carried out in three main steps: dataset input, preprocessing, and evaluation. The first stage is data analysis which begins by entering a dataset to train and test the model, where each data element has certain characteristics (attributes) and classes. Preprocessing steps include training data generation and data cleaning, which includes sanitization, lowercase, normalization, stopwords, stemming, and tokenizing. The final step is evaluating. Evaluation includes building an evaluation model and measuring the level of accuracy, building a predictive model, and saving the model. This research shows that the K-Nearest Neighbor (KNN) method can be used to classify diabetes mellitus (DM), but especially in a small dataset consisting of 245 dates and 8 attributes it is not accurate for patients aged 30 years. . A k value that is too small can cause overfitting, and a k value that is too large can cause underfitting. However, if the amount of data is small, the choice of k can have a large impact.    

This research aims to investigate and analyze legally the granting of mortgage rights guarantee to creditors, especially foreign banks (conducted at the Land Office of Batam). The method used is normative legal research utilizing library references and interviews with academic and practitioner experts as research subjects. This study is descriptive, systematically analyzing primary, secondary, and tertiary legal materials along with relevant facts. The conclusion of this research is that the granting of mortgage rights to foreign banks follows the procedures stipulated in Ministerial Regulation No. 5 of 2020 from the Ministry of ATR/BPN. The registration process for mortgage rights is conducted electronically, but foreign banks such as China Banking Corporation Limited must first register through the financial partner application. The main challenges in implementing electronic mortgage rights guarantee primarily stem from legal uncertainties regarding the registration of foreign creditors through the financial partner application managed by the Ministry. Additionally, there are technical challenges due to IT systems that are not yet fully prepared. Improving the quality of human resources is also necessary, given the constraints faced at the land office due to a shortage of personnel, while demand from the public and service users remains high.

The transformation of affirmative action policies in the digital era serves as a strategic step to improve the Gender Empowerment Index (GEM) and accelerate gender equality in Indonesia. These policies focus on enhancing women's access to economic, political, and educational sectors, leveraging opportunities provided by digital technology. However, several challenges remain, such as limited internet access, low digital literacy, patriarchal social norms, and underrepresentation of women in STEM (Science, Technology, Engineering, and Mathematics) sectors. The government has implemented several initiatives, including a 30% quota for women's representation in parliament, empowering women-owned MSMEs through Kredit Usaha Rakyat (KUR), and offering scholarships to increase women's participation in STEM and technology fields. In addition, affirmative policies within state-owned enterprises (BUMN) aim to promote female leadership in strategic positions. Despite some progress, the gender gap in the digital economy and the risk of gender-based violence online remain significant issues that require further attention.Policy recommendations include improving access to technology and digital literacy for women, providing incentives for companies that promote gender equality, and strengthening protection against online gender-based violence. Collaboration between the government, private sector, and civil society is essential to ensure the successful implementation of affirmative action policies in the digital era. This transformation is expected not only to enhance the IDG but also to empower women to actively contribute to inclusive and sustainable economic development.

The background of this study stems from a number of issues, including the inability of oil palm farmers to make ends meet financially, the impact of their reliance on oil palm income on the well-being of their families, and the relationship between oil palm farmers' income and the price at which Palm Fruit Bunches (FFB) are sold in Nagari Bawan, Kabupaten Agam. Nonetheless, a lot of farmers continue to struggle with a shortage of funding when it comes to running oil palm plantations and boosting the output of palm fruit bunches (FFB). A qualitative descriptive research approach is used, and it involves gathering research objects based on field data. Direct observation and interviews with oil palm farmers in Nagari Bawan, Kabupaten Agam, were used to gather data. The Nagari Bawan administration (Nagari Secretariat) and thirteen oil palm plantation owners were the research's primary sources of information about the circumstances and state of the study in Nagari Bawan, Kabupaten Agam. According to the author's study findings in Nagari Bawan, Kabupaten Agam, income indicators such as monthly income, employment, and family responsibilities may be used to analyze oil palm farmers' income in order to improve the economic welfare of their families. This indicates that oil palm growers are looking for side employment since their revenue is insufficient to cover their expenses.

The production of tofu is vulnerable to deficiencies stemming from issues such as diminished worker attentiveness, subpar raw materials, and ambiguous operational protocols. Employing the seven traditional tools and additional new methods, this study scrutinized these shortcomings. The outcomes indicate that these variables exert a notable influence on product quality. These discoveries establish a foundation for pinpointing areas of enhancement to elevate the efficiency and quality of the tofu production process.

n today's digital era, customer reviews play a crucial role in purchasing decisions, but the large volume of reviews makes manual analysis difficult. Thus, a fast and accurate sentiment analysis method using Natural Language Processing (NLP) is needed. This research aims to analyze product reviews for the ZALIKA STORE 88 on Shopee using NLP. It involves preprocessing reviews, applying NLP techniques like tokenization, stemming, and lexical analysis, and automatically classifying sentiments. The analysis of ZALIKA STORE 88's reviews reveals mostly positive sentiments, with some negative and neutral reviews. The sentiment analysis achieved an 87% accuracy rate. This research is intended to help ZALIKA STORE 88 make informed decisions based on customer reviews.

This service was held in Wonokerso Village, District. Limbung District. Stem. The aim is to empower the entrepreneurial community by non-working housewives. Techniques for implementing community service using learning and mentoring methods. The target of this service is 20 housewives. The results to be achieved are 1) the participants understand the meaning of creative entrepreneurship and are able to run a home business, especially making Emping Mlinjo. 2) Not only that, but also able to market their own products. Community Service as one of the Tri Dharma of Higher Education is carried out in a sustainable manner (sustainable)

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.

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.

Background: Burns with diabetes mellitus conditions can interfere with the wound healing process. Mesenchymal stem cells have been studied to heal burns, one of which originates from the bone marrow Objective: Determine the effect of human bone marrow mesenchymal stem cells on burn wound healing in the formation of granulation tissue DM rats. Methods: Research is experimental research with post-test only control group design. The research subjects were 30 rats divided into two groups, the control group was given NaCl and the treatment group was given hBM-MSCs. Mice were induced by alloxan to cause hyperglycemia, burns were made using a heated plate. Tissue collection was carried out after termination of the experimental animals on the 3rd, 7th, 14th days and then made histological preparations to assess the formation of granulation tissue. Data were analyzed using Two Way Anova Test. Results: Increase in the number of macrophages, fibroblasts and new blood vessels after hBM-MSCs were given. There were no increase on the 14th day neutrophils and 3rd day lymphocytes. Statistical analysis showed a significant increase in the number of lymphocytes, macrophages, fibroblasts and new blood vessels. Conclusion: The is study concludes that human bone marrow mesenchymal stem cells can increase the formation of granulation tissue by increasing macrophages, fibroblasts and new blood vessels in DM rats.

This basic leadership, management and organization training stems from the very minimal knowledge and experience of students in these materials, students who participate and are active in organizations at Selangit State High School only view organizations as merely additional or extracurricular activities, without understanding the substance in them. management of the organization. The aim of this training is to provide students with direct insight and experience regarding leadership and organizational management theories. The method in this training is an interactive lecture and discussion method, where students are invited to actively participate in these activities. As a result of this training, students gain additional knowledge and experience regarding organizational management.

Detecting diseases in durian plants is a significant challenge in the agricultural sector, impacting yield and quality. This research aims to improve disease identification in durian plants by applying the Convolutional Neural Network (CNN) algorithm. The method involves collecting images of durian leaves, stems, and fruits infected by various diseases and using data augmentation techniques to expand the dataset and reduce overfitting. With the CNN model trained using this dataset, the accuracy reached 62% on validation data, with the highest accuracy for the “Healthy” class at 83%. The research results show that CNN is effective in recognizing diseases in durian plants, although there is still room for improvement through model optimization and the addition of training data. The implications of this research include the development of an AI-based disease detection system that can help farmers care for durian plants more efficiently and timely.