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Abstract. This study presents a web-based system for identifying traditional herbal leaves using K-Nearest Neighbors (KNN) and image processing techniques focused on analyzing leaf shape and color. The dataset used consists of images of various types of herbal leaves, providing a basis for classification and medicinal benefit information retrieval. The system was tested with multiple leaf samples to assess accuracy, speed, and effectiveness in identifying leaf types based on visual characteristics. Results show that the system can recognize different types of herbal leaves and display information on their medicinal properties in a user-friendly interface..

This research investigates the effect of adding active ingredients such as butterfly pea flower extract and eggshell powder on the physical and chemical properties of smart biodegradable film packaging. The butterfly pea flower extract was prepared by mixing dry butterfly pea flowers with water in ratios of 0 (without butterfly pea flowers, as a control), 1:250, and 1:125. The eggshell powder was added in concentrations of 0%, 0.15%, and 0.3% (w/v). The result shows that the addition of active agents affected the water vapor transmission rate (WVTR), tensile strength, and elongation of the film. The addition of eggshell powder did not have any significant effect on the total phenol content, anthocyanin content, and antioxidant activity. The smart biodegradable film packaging produced in this study showed total phenol values ranging from 237,8858-907,1768 mg GAE/100 g sample, total anthocyanin content 0.1045-2.3512 mg cy-3-glu eq/100 g sample, antioxidant activity 5,1198-54.8475%, WVTR 60,5826-91,3325 g/m2/24 hours, tensile strength 2,615-8,479 N/mm2/24 hours, and elongation 1,437-43,360%. The results of this study show that the smart biodegradable film packaging developed can be used as an indicator to monitor changes in the quality of steamed chicken meat during storage.

Purple corn is one of the corn varieties that is being developed by Indonesia as a form of food diversification. The purple color of corn is produced by the high presence of anthocyanins so it can provide health benefits such as antioxidant, anti-inflammatory, mutagenic, anti-cancer and anti-angiogenesis. To ensure that the bioactive components are not damaged, extraction is carried out in stages by applying the maceration method using a polar solvent with the correct ethanol content of 96%. Apart from using the appropriate solvent, the length of maceration time will determine the results of the extract obtained. This research aims to find out how long maceration affects the content of bioactive compounds found in purple corn. The research used a completely randomized design with one treatment, namely maceration times of 12, 24 and 48 hours. The tests carried out included color intensity, total phenol and anthocyanin content and antioxidant activity. The research findings explain that the length of maceration has a significant effect on color intensity, total phenols and antioxidant activity of purple corn extract. 2 hour maceration was the best treatment in extracting bioactive compounds, namely total phenols of 206.29 g/100 g, total anthocyanins of 0.19 g/100 g and antioxidant activity of 58.80%.

PT MAS operates in the mining sector, extracting white rocks or feldspar from steep and rugged slopes. Inadequate drainage systems pose significant challenges, such as floods, erosion, and landslides, emphasizing the critical role of effective drainage in mining activities. The designed drainage system incorporates trapezoidal open channels at the mining steps' base. Before reaching natural water bodies, mining water is directed to sedimentation ponds to settle sediments. This research, an experimental study correlating theory with field data, begins with a literature review on open channel drainage theories in mining areas. Data collection includes location specifics, mining area dimensions, rainfall, and runoff coefficients. Manning equation calculations determine planned open channel dimensions, with a bottom width of 0.45 m, flow depth of 0.39 m, freeboard height of 0.097 m, water surface width of 0.9 m, and a slope angle of 60⁰. The research aims to contribute insights for the development and management of open channel drainage systems in mining areas.

Type 2 Diabetes Mellitus (DM) is characterized by hyperglycemia, which can lead to microangiopathic and macroangiopathic complications. One of the chronic complications is diabetic foot ulcer (DFU), which carries a high risk of infection and amputation. Preventing amputation can be achieved by accelerating wound healing. Dalethyne, a herbal product extracted through ozonization, contains essential oils, fatty acids, iodine, and peroxides. In wound care, Dalethyne acts as an antimicrobial agent that eliminates bacteria and promotes the formation of new tissue. This study aimed to examine the effect of modern Dalethyne dressings on wound healing among patients with diabetic foot ulcers. A quasi-experimental study with a non-equivalent control group pretest–posttest design was conducted at a wound care clinic in Semarang. Thirty participants with grade 2–3 diabetic foot ulcers were divided into an intervention group (Dalethyne dressing) and a control group (standard care). Wound healing was assessed using the DMIST scale before and after one week of treatment. Both groups showed improvement in DMIST scores post-treatment. However, the intervention group demonstrated significantly greater improvement (mean DMIST reduction of 48.50) compared to the control group (mean reduction of 16.50) (p = 0.001). Photographic evidence indicated more advanced granulation and epithelialization in the Dalethyne group. Modern wound care using Dalethyne effectively enhances wound healing in diabetic foot ulcers.

Eco-pharmaceuticals are an emerging solution in the pharmaceutical industry, aimed at reducing environmental impacts through sustainable production, distribution, and disposal practices. The growing concern over pharmaceutical waste, especially in low-resource settings, highlights the need for greener alternatives. Pharmaceutical residues, often not fully removed during conventional wastewater treatments, contribute significantly to water pollution and disrupt aquatic ecosystems. Eco-pharmaceuticals address these issues by using biodegradable materials, environmentally friendly production methods, and safer disposal techniques, thereby reducing the persistence of pharmaceutical contaminants in the environment. Life-Cycle Assessment (LCA) is an essential methodology used to evaluate the environmental impact of pharmaceutical products, considering all stages from raw material extraction to end-of-life disposal. The results of LCA show that eco-pharmaceuticals significantly reduce water pollution potential and carbon emissions when compared to conventional drugs. Additionally, they offer a more resource-efficient alternative by minimizing waste generation during production and ensuring safer end-of-life disposal. Despite the clear environmental benefits, challenges remain in transitioning to eco-pharmaceuticals, particularly in low-resource settings where infrastructure for waste management is limited. Cost and availability of eco-pharmaceuticals may also pose barriers to widespread adoption. However, with appropriate policy interventions, public education, and technological innovations, these challenges can be addressed. This study underscores the potential of eco-pharmaceuticals in mitigating environmental degradation while offering a sustainable and cost-effective alternative to traditional pharmaceuticals, particularly in regions most vulnerable to pollution.

This study presents the implementation of Transfer learning using the ResNet-18 architecture for classifying 10 musical instrument categories based on visual representations of audio signals. The audio waveform is transformed into image-like inputs appropriate for CNN processing, accompanied by data augmentation and ImageNet-standard normalization. ResNet-18 is utilized due to its efficient feature extraction capability enabled by residual blocks, which help overcome vanishing gradient issues. The model was trained for 10 Epochs using the AdamW optimizer and Cross-Entropy Loss. Experimental results show that the model achieved a maximum validation accuracy of 77.35%, with a stable downward trend in training loss, indicating effective feature learning. However, several misclassification cases were observed, particularly among instruments with similar spectral characteristics, such as drum–violin and tabla–sitar. These findings demonstrate that while ResNet-18 performs reliably for musical instrument classification, further improvements remain possible through deeper architectures like ResNet-50, more comprehensive hyperparameter optimization, and the use of richer audio representations such as Mel-Spectrograms. This research provides an essential foundation for developing automated music analysis systems powered by Deep Learning.

The Miana Coleus atropurpereus plant is a unique plant because it has so many varieties. The differences in these varieties can be seen from the very diverse differences in leaf color. Several studies have known about the active antimicrobial compounds of Coleus atropurpereus miana leaves, namely in the form of flavonoids, saponins, steroids, tannins, essential oils, eugenol, polyphenolic compounds, alkaloids, ethyl salicylate, calcium oxalate, rosmarinic acid compounds. In this study, Escherichia coli and Staphylococcus aureus bacteria were used using thick extracts that had been macerated using 96% alcohol. in this study it showed 8 mm at a concentration of 50%, at a concentration of 25% it showed a clear zone of 7 mm and at a concentration of 12.5% ​​it showed 6 mm. It can be concluded that the extract of Coleus atropurpereus miana leaves is weakly toxic to E. coli and not toxic to S. aureus bacteria..  

The Miana Coleus atropurpereus plant is a unique plant because it has so many varieties. The differences in these varieties can be seen from the very diverse differences in leaf color. Several studies have known about the active antimicrobial compounds of Coleus atropurpereus miana leaves, namely in the form of flavonoids, saponins, steroids, tannins, essential oils, eugenol, polyphenolic compounds, alkaloids, ethyl salicylate, calcium oxalate, rosmarinic acid compounds. In this study, Escherichia coli and Staphylococcus aureus bacteria were used using thick extracts that had been macerated using 96% alcohol. in this study it showed 8 mm at a concentration of 50%, at a concentration of 25% it showed a clear zone of 7 mm and at a concentration of 12.5% ​​it showed 6 mm. It can be concluded that the extract of Coleus atropurpereus miana leaves is weakly toxic to E. coli and not toxic to S. aureus bacteria..  

Papaya Carica papaya L. is a fruit commodity that has many functions and benefits as cooking, sweets, medicine, snacks. Secondary metabolite compounds found in Carica papaya L. papaya are flavonoids, polyphenols, quinones and tannins. It is known that falvonoid compounds can have antibacterial properties. In this research, it is hoped that papaya leaf stalk extract can act as an antimicrobial so that it can be used as first aid for diseases caused by E. coli bacteria.  This research used ingredients from 500 grams of papaya leaf stalk extract which had been macerated using 96% ethanol, to produce a thick extract. The thick extract was tested on NA growth media using E. coli bacteria. In this study, the clear zone produced at a concentration of 50% was 7 mm, at a concentration of 25% it produced a clear zone of 6 mm and at a concentration of 12.5%  it did not produce a clear zone.

Papaya Carica papaya L. is a fruit commodity that has many functions and benefits as cooking, sweets, medicine, snacks. Secondary metabolite compounds found in Carica papaya L. papaya are flavonoids, polyphenols, quinones and tannins. It is known that falvonoid compounds can have antibacterial properties. In this research, it is hoped that papaya leaf stalk extract can act as an antimicrobial so that it can be used as first aid for diseases caused by E. coli bacteria.  This research used ingredients from 500 grams of papaya leaf stalk extract which had been macerated using 96% ethanol, to produce a thick extract. The thick extract was tested on NA growth media using E. coli bacteria. In this study, the clear zone produced at a concentration of 50% was 7 mm, at a concentration of 25% it produced a clear zone of 6 mm and at a concentration of 12.5%  it did not produce a clear zone.

Image classification is widely used in everyday life such as in car steering, closed-circuit television (CCTV), traffic cameras, etc. The implementation of image classification can be done using several methods, including neural network and support vector machine models. The neural network method is able to find the right weights that allow the network to show the desired behaviour while the support vector machine method has many dimensions and can overcome linear and non-linear data. In this research, feature extraction was carried out using VGG16 to increase accuracy. This research aims to find out how to implement the neural network and SVM algorithms to classify images and determine the results of analyzing the performance of the two methods. The data used in this study is secondary data consisting of 10 types of large wild cats with a total of 2339 training image datasets and 50 testing image datasets. The research stages consist of data augmentation, model design, model training, and model evaluation. Classification with the neural network model produced an accuracy of 96% and the support vector machine model produced an accuracy of 96%, which means that in a consistent training environment, the two models have the same performance.

The purpose of the current research is to reveal the impact of credit derivatives by (purchased credit derivatives, the value of credit derivatives sold) in hedging the risk of non-payment at a sample of commercial banks in the Iraq Stock Exchange by (Middle East Bank, Gulf Commercial Bank, Trade Bank of Iraq, Bank of Baghdad, Credit Bank) for the financial period from (2016-2020), and for the purpose of analyzing the results, the Office package was adopted (Excel.V.2016) in order to extract the level of credit derivatives,  And the risks of non-payment at the commercial banks surveyed, has been using a set of statistical methods to determine these variables, represented in (credit derivatives, arithmetic mean, correlation coefficient, and regression coefficient), as a result, the research came out with a set of results, foremost of which was that there is an effect of credit derivatives in hedging the risks of non-payment, and this shows that credit derivatives contribute to improving the ability to hedge against non-payment risks, allowing investors to reduce financial risks. The focus of the surveyed commercial banks on the use of credit derivatives to protect investors from fluctuations in interest rates and currency rates, which works to reduce the impact of non-payment risks on their profits, which means that these contracts allow the determination of a future price for financial assets.

Indonesian people widely consume tomato sauce as a condiment or food seasoning. The natural thickening agent commonly used in tomato sauce is starch, generally based on tapioca or cornstarch. The use of breadfruit starch as a thickener is rarely studied and needs to be researched scientifically. This research aimed to evaluate the role of breadfruit starch as a thickener in tomato sauce. This research began with extracting breadfruit starch through wet milling and continued with making tomato sauce based on breadfruit starch. The concentration of breadfruit starch was varied in 3 levels, namely 0.5%, 1%, and 1.5%. Commercial tomato sauce was also evaluated and used as a comparison. Viscosity, color, and organoleptic analyses were conducted on tomato sauce products. The results showed that tomato sauce based on 1.5% breadfruit starch had a higher viscosity (3220.5 cP) than the addition of 0.5% (572 cP) and 1% (1093.5 cP) starch, but it was still much lower than the viscosity of commercial tomato sauce (6922.5 cP). In terms of color, breadfruit starch-based tomato sauce is not much different from commercial tomato sauce in terms of brightness (L: 32-35), redness (a: 9-11), and yellowness (b: 10-15). After organoleptic analysis, the panelists rated the breadfruit starch-based tomato sauce as mediocre (average score 3), compared to the commercial tomato sauce, which the panelists preferred (score 4). These findings indicate that breadfruit starch has potential as a thickener for tomato sauce because it can resemble the quality of tomato sauce in terms of color. However, the concentration of added breadfruit starch still needs to be increased to increase the thickness of the tomato sauce and its acceptance by consumers.

The enzyme α-amylase is one of the enzymes that plays a role in the process of degrading starch into maltose and glucose. Organic compounds such as polyphenols and flavonoids are inhibitors of α-amylase. The star fruit plant (Averrhoa bilimbi L.) has α-amylase enzyme inhibition activity and has the potential to be used in the therapy of type 2 diabetes mellitus. This study aims to determine whether ethanol extract and the fraction of star fruit (Averrhoa bilimbi L.) have α-amylase enzyme inhibition activity, inhibition against α-amylase enzyme and better inhibition activity. The test of α-amylase enzyme inhibition activity was carried out using 3 test groups, namely negative control, positive control (acarbose) and samples (ethanol extract and star fruit fraction) with concentrations of 12.5 ppm, 25 ppm, 50 ppm, 100 ppm and 200 ppm. The results of testing the inhibitory activity of α-amylase enzyme of ethanol extract and the fraction of star fruit (Averrhoa bilimbi L.) obtained IC50 values of 5.581 μg/mL, 76.725 μg/mL, 43.152 μg/mL and 55.447 μg/mL, respectively. Based on these results, it can be concluded that the ethanol extract of star fruit (Averrhoa bilimbi L.) at a concentration of 200 ppm has a very strong activity in inhibiting the α-amylase enzyme with an inhibition percentage of 85.217% and an IC50 value of 5.581 μg/mL.

Indonesia is a country that has a lot of banana diversity. One of the banana plants that is widely found in Indonesia is the Kepok banana (Musa Paradisiaca.L). Kepok banana skin has a very high content of flavonoids and phenols. Flavonoids are known as good antioxidants because they can find reactive oxygen species with the phenolic hydroxyl group that flavonoids have. The aim of this research was to determine the results of the optimization of the Microwave-Assisted Extraction (MAE) method on the total flavonoid content of kapok banana peel ethanol extract. Microwave-Assisted Extraction (MAE) was done to extraction flavonoid from ethanol extract of kepok banana peel (Musa Paradisiaca.L). The sample collected from Widoro village, Karangsambung sub-district, Kebumen regency. Optimum extraction condition was determined by the Response Surface Methodology (RSM). The Box- Behnken design (BBD) was used to evaluate the influence of 3 factors with 3 levels extraction that is power level (10%, 30%, 50%), ethanol concentration (50, 70, 96%), and extraction time (3, 5 and 7 minutes) with 15 different runs. The research showed that optimum extraction condition was at 24,14 % of power level, 66,26% ethanol concentration, and time extraction of 3,52 minutes with calculations from the Design Expert program, the total flavonoid content response was 8.491 Mg QE/g. The total flavonoid content value obtained experimentally was 8,246 Mg QE/g under condition of 30 % power level, 70% ethanol concentration, and time extraction of 5 minutes. Based on the result, total flavonoid content can be significantly increased by optimizing the MAE process use RSM.

Coumarin, a key bioactive compound in cinnamon, is known for its anticoagulant, antibiotic, and anti-carcinogenic properties. This study investigates the potential of cinnamon (Cinnamomum burmanni) extract as a natural anticoagulant using both the Lee-White method, for visual observation of clotting time, and blood smear analysis for microscopic evaluation. The research aims to assess the effectiveness of the extract in preventing blood coagulation compared to untreated blood samples. Results demonstrated that blood without any anticoagulant clotted within an average time of 5 minutes and 33 seconds. In contrast, blood treated with cinnamon extract did not exhibit coagulation, indicating a significant anticoagulant effect. Microscopic examination further supported these findings, as the blood cells in the treated samples appeared separated, with no visible aggregation or linkage between the cells. These findings suggest that cinnamon extract has strong potential as a natural anticoagulant, offering a safer and more accessible alternative to synthetic anticoagulants. Further research could explore its applications in medical treatments, particularly in conditions requiring blood thinning or clot prevention. This study highlights the potential of cinnamon as a valuable bioactive agent in the field of biomedical science, especially for anticoagulation therapies.

Arumanis mango rind (Mangifera indica L) usually becomes organic waste, but contains flavonoid secondary metabolites. Arumanis mango rind extract was chosen so that it can be used as an antioxidant compound, which is an antidote to free radicals. The aim of this research was to examine the antioxidant activity and toxicity tests of arumanis mango rind extract. The result is that the maximum absorption wave of DPPH is 518 nm, with an absorbance of 0.788. The results of comparative antioxidant activity for gallic acid obtained IC50 = 4.424 µg/mL, while the arumanis mango rind extract sample had an IC50 value = 18.294 µg/mL. For toxicity test results, the LC50 value = 169.043 µg/mL. Based on the research results obtained, it can be concluded that the antioxidant activity of arumanis mango rind extract is classified as very strong (<50 µg/mL) and the toxicity is classified as toxic (<1,000 µg/mL).

Shina, mai., 2024, test of antibacterial activity of extract, water fraction, ethyl acetate fraction, and n-hexane fraction of chinese petai leaf (leuncaena leucocephala) against staphylococcus aureus atcc 25923, thesis, faculty of health sciences, duta bangsa university, surakarta one of the traditional medicines that currently has the potential to be developed is the chinese petai plant (leucaena leucocephala). Chinese petai leaves are used by the people of indonesia as a remedy for new and swollen wounds. Staphylococcus aureus is a gram-positive coccus bacterium that is the main pathogen in humans. Almost everyone has experienced a wide variety of staphylococcus aureus infections during their lifetime, from severe food poisoning to minor skin infections. The methods used in this study are diffusion and dilution. The purpose of this study was to determine the antibacterial activity of water extracts and fractions, ethyl acetate fractions, and n-hexane fractions of chinese petai leaves (leuncaena leucocephala), to find the most active extracts and fractions based on their inhibitory zones, and to determine the khm and kbm of the most active extracts against staphylococcus aureus atcc 25923. Based on research conducted on ethanol extract, water fraction, ethyl acetate fraction, and n-hexane fraction of chinese petai leaves have antibacterial activity against staphylococcus aureus atcc 25923. The most active extract in inhibiting staphylococcus aures atcc 25923 judging from its inhibition zone value is ethanol extract. Ethanol extract of chinese petai leaves has the same khm and kbm values, namely at a concentration of 25%.      

The rapid development of technology increases the need for effective and efficient information. Information that is not managed properly loses value, especially when large amounts of data are available, making conventional methods no longer adequate to analyze the potential of the data. Therefore, a system capable of analyzing, summarizing, and extracting data into useful information is required. The Department of Agriculture and Food Security, as an agency that handles food security, agriculture, animal husbandry, animal health, and fisheries, is responsible for supporting the increase in agricultural yields to meet the food needs of the population and encourage economic growth. To achieve this goal, the agency needs to utilize technology to process agricultural data quickly and accurately. The system built using the apriori method can analyze data efficiently and provide recommendations for increasing agricultural yields. Based on the test results, a support value of 9% and a confidence of 68% were obtained, with the rule If the crop is Cassava, then the production yield is 6000-8000 tons.