SciTech Research Journal

The The Effect of Local Plant Peel Extracts from Phetchaburi Province in Inhibiting Bacteria Found on Hands and Food Contact Surfaces

2024-10-03T15:30:55+07:00

The aims of this research were to study the antibacterial activity of extracts of banana peel, rice peel, palm sugar peel, lime peel, and pineapple peel in ethanol against Staphylococcus aureus by Disc Diffusion method and to study the effect of these extracts in inhibiting pathogenic bacteria found on hands and surfaces by using swab test (Sl-2). The results found that Staphylococcus aureus was inhibited only by palm sugar peel extract with average inhibition zone diameter equal to 10.99±0.21 mm. Banana peel extract, rice peel extract, lime peel extract, and pineapple peel extract did not show any inhibition of this bacteria. Palm sugar peel extract can inhibit Staphylococcus aureus with MIC = 1.56 (mg/ml), and MBC = 12.50 (mg/ml). For the effect of 5 plant peel extracts in inhibiting coliform bacteria on hand of valunteers and food contact surfaces, It was found that palm peel extract was the most effective in reducing the number of coliform, with no coliform bacteria found on the volunteers' hands and food contact surfaces at 65% and 75%, respectively. Follow by, banana peel and lime peel extracts were found no coliform bacteria in 40 percent of the volunteers' hands and food-contact surfaces. Therefore, palm sugar peel extract is an interesting waste material that will be developed as an antibacterial agent in the future.

On the Diophantine equation (p-1)^x-p^y=z^2, when p is a prime

2024-06-14T20:44:00+07:00

In this paper, the non-negative integer solutions of the Diophantine equation , when is a prime, are investigated. The results of this research, we showed that if , then the non-negative integer solutions of the equation are , when is a non-negative integer. If , then the equation has the unique non-negative integer solution, which is . If , then all non-negative integer solutions of the equation are and . Moreover, if and , then the non-negative integer solutions of the equation are and , when is an integer.

Mosquito repellent charcoal extract from coconut shells mixed with dried kaffir lime peel powder

2024-11-29T09:54:05+07:00

The objective of this research is to develop a briquette charcoal from coconut shell with dried bergamot skin that can repel mosquitoes. By finding the combustion efficiency of charcoal briquettes and the mosquito repelling efficiency in various ratios as follows: ratio 1 (1000: 60), ratio 2 (1000: 200: 100) and ratio 3 (1000: 500: 100). (Coconut shell charcoal: dry bergamot skin powder: Cassava flour) After that, the researchers took the charcoal briquette from the coconut shell charcoal with the dried kaffir lime in all 3 ratios to test the combustion efficiency and mosquito repellent efficiency . The calorific value increases, the 3rd ratio is the ratio with the best calorific value of 348.6681 KJ / kg. The 1st ratio : minimum moisture content is 5.9081%, which causes a small amount of ash. And the 2nd ratio : best density at 882.72 Kg / m3. The average combustion rate is 3.05 grams per minute. It can be used to cook well. No cracking Very flammable. In addition, the efficiency of mosquito repellent from charcoal from coconut shell with dry bergamot skin. The best repellent ratio was the 3rd ratio. It took 10 minutes for every mosquito to fall to the ground.

Development of Risk Predictive Model for Heart Attack in Elderly Using Data Mining Technique

2024-11-29T11:22:42+07:00

The objectives of this research are 1) to compare risk predictive model performance for heart attack in the elderly using data mining techniques, and 2) to develop a prototype system for predicting the risk of heart attack in the elderly, using the heart attack dataset in the Heart Attack Analysis & Prediction Dataset. This research used the Scikit-Learn Library in Python to create the models. Three classifiers in machine learning, namely Support Vector Machine, Naive Bayes, and Decision Tree were used for comparison. The performance of the models was evaluated using accuracy, precision, recall, and F-measure. The research found that Naive Bayes had the highest performance with an accuracy of 86.05%, precision of 87.44%, recall of 85.82%, and F-measure of 85.86%. Naive Bayes was then used to develop a prototype system for predicting heart attacks in the elderly through web application, to Predict whether the chance of having a heart attack is more or less.

Creating Mimicking Nature Forest to Restore Ecosystems in PaSak watershed area and adapting to climate change of farmers, Lak Dan Sub-district, Nam Nao District, Phetchabun Province

2024-12-06T11:45:14+07:00

This research was aimed to search options for creating a mimicking nature forest that is consistent with the landscape ecology of PaSak watershed area. To restore the ecosystem about soil, water, and forest and adapt to impacts of climate change for farmers in Lak Dan Sub-district, Nam Nao District, Phetchabun Province. The study used field survey methods and studied secondary data from interviews with a sample of 5 farmers about patterns of planting plants, the benefits and disadvantages resulting from mimicking nature forest planting and adaptation to effects of climate change. And study secondary data from related research documents about landscape ecology information and problems from agriculture in the PaSak watershed area. The results found that Pa-Sak watershed area has an ecosystem divided into 2 large ecosystems, consisting of the terrestrial forest ecosystem and watershed ecosystems. The options for planting mimicking nature forest that are appropriate for landscape ecology are as follows: 1. There should be a variety of plants planted, such as perennial trees, economic trees, fruit trees, food plants, and medicinal plants. 2. Forms and methods for mimicking nature forest, This can be done as follows: 2.1 Creating small forests, followed by 2.2 Creating large forests. It was also found that mimicking nature forest can help farmers adapt to climate change.

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2024-12-23T16:25:14+07:00

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Appendix

2024-12-23T16:30:53+07:00

Appendix