TY - JOUR AU - Darmadi, Jason AU - Anwar, Ayaz AU - binti Shamsul Anuar, Nurshafida Adzlin TI - Cytotoxicity of synthesized silver nanoparticles on breast cancer cells JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 488 PY - 2024 SP - 03022 SN - 2555-0403 DO - 10.1051/e3sconf/202448803022 UR - https://m2.mtmt.hu/api/publication/34753182 ID - 34753182 AB - Breast cancers are becoming harder to treat due to the acquisition of chemo-drug resistance. In this study, silver nanoparticles (AgNPs) were synthesized using reducing agent NaBH4, where resulting nanoparticles were characterized using UV-vis spectroscopy, FTIR spectroscopy, SEM, and DLS. Cytotoxicity of synthesized AgNPs was evaluated against MCF-7, MCF-7-CR, and MDA-MB-231 using MTT assays. NaBH 4 -reduced AgNPs were unstable as a colloidal system, with zeta potential noted to be around -21 mV and a polydispersity index of around 15%, making them highly prone to aggregation. However, AgNPs significantly reduced the cell viability of MCF-7 breast cancer cell lines, while slight toxicity was seen in multi-drug resistant breast cancer cells MCF-7-CR and MDA-MB-231 at 10 µM. LA - English DB - MTMT ER - TY - JOUR AU - Turatbekova, Aidai AU - Mirzarakhmetova, Dilbar AU - Shang, Nan AU - Toshpulatov, Nusratillo AU - Tajibayeva, Raykhon AU - Sabirova, Nadira AU - Mamarajapova, Buvzaynab AU - Tukhtaeva, Rano TI - Study of biologically active peptides from plant materials: A succinct overview JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 497 PY - 2024 SP - 03010 SN - 2555-0403 DO - 10.1051/e3sconf/202449703010 UR - https://m2.mtmt.hu/api/publication/34752496 ID - 34752496 AB - The study of the biological activity of various peptide compounds is a novel research topic, as peptides have extensive applications in a wide range of sectors. Biologically active peptides can be obtained from various sources, including animals, plants, and microorganisms. Plants, on the other hand, have immense promise owing to their diverse chemical structures, each of which has unique characteristics and pharmacological actions. These characteristics set the plant world apart for the development of several drugs and insecticides. Plant-derived peptides perform a wide range of biological functions, including antibacterial, anticancer, antihypertensive, and antioxidant activities. This study shows that Mass spectrometry (MS) is the primary method used to identify proteins and native peptides isolated from tissues and biological fluids. Proteomics and peptidomics are two distinct peptide analysis approaches employed in this context. LA - English DB - MTMT ER - TY - JOUR AU - Uddin, Nur AU - Purwanto, Edi AU - Nugraha, Hari TI - Machine learning based modeling for estimating solar power generation JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 475 PY - 2024 SP - 03009 SN - 2555-0403 DO - 10.1051/e3sconf/202447503009 UR - https://m2.mtmt.hu/api/publication/34749850 ID - 34749850 AB - The solar power plant is a rapidly growing renewable energy source that has a potential role in reducing climate change and replacing fossil fuels. Estimation of the power generated by a solar power plant is required to determine the energy supply. Unfortunately, the solar power generated is highly uncertain due to highly dependence to nature, such as solar radiation and weather. This makes the estimation of solar power generation to be very difficult. This study presents a development of machine learning to model a solar power plant for estimating the generated power. The machine learning is developed by implementing the k-NN algorithm. A data set of power generated in a solar power plant is applied to build the machine learning. The development resulted in a machine learning that models the solar power plant. Simulation test result show the machine learning was able to estimate the solar power generated with an accuracy of 69.6%. The developed model is very useful to estimate potential of solar power resource in a region. The developed model is very useful in feasibility studies to estimate the potential of solar power resources in an area. LA - English DB - MTMT ER - TY - JOUR AU - Diputra, I Gede Yuda Marta AU - Sunardi, . AU - Siyaranamual, Martin Daniel TI - The correlation between formal education and knowledge of used cooking oil management at Kampung Tersenyum society in South Jakarta JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 495 PY - 2024 PG - 6 SN - 2555-0403 DO - 10.1051/e3sconf/202449503006 UR - https://m2.mtmt.hu/api/publication/34739887 ID - 34739887 AB - The phenomenon of used cooking oil collection at Kampung Tersenyum in South Jakarta has not been optimal. According to the data, there are only 36 sub-districts out of 65 sub-districts in South Jakarta that have been monitored to collect used cooking oil in the period October 2019 – June 2020. This research aims to analyze the knowledge of used cooking oil management in Kampung Tersenyum Society, South Jakarta. This research used a quantitative descriptive method. The population in this research is the residents of Kampung Tersenyum, South Jakarta. The sampling technique in this research was carried out with a purposive sampling method of 60 respondents. Data collection techniques used observation and interviews with questionnaires. Data analysis used percentage descriptive techniques. The results of the research showed that the last formal education majority of the society is at the high school level. The knowledge of used cooking oil management in South Jakarta is in the high category. From the results of the analysis, it was found that there is a correlation between formal education that has been taken with waste management knowledge which is the majority of elementary and junior high school education are knowledgeable in the category tends to be low, while the majority of education at the senior high school, bachelor,and master levels are knowledgeable in the high category. LA - English DB - MTMT ER - TY - JOUR AU - Jabbarov, Zafarjon AU - Nomozov, Urol AU - Kenjaev, Yunus AU - Abdushukurova, Zamira AU - Zakirova, Salomat AU - Mahkamova, Aliya AU - Kamilov, Bobir AU - Kurvantaev, Rakhmon AU - Kholdarov, Davronbek AU - Turdaliev, Avazbek AU - Yuldashev, Gulom TI - Effects of pollution of saline soils with oil and oil products on soil physical properties JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 497 PY - 2024 SP - 03006 SN - 2555-0403 DO - 10.1051/e3sconf/202449703006 UR - https://m2.mtmt.hu/api/publication/34738045 ID - 34738045 AB - In the article, pollution of saline soils with oil and oil products, physical and water-physical properties depending on the level of salinity are studied. As a result of the research, it is scientifically based that the increase in the level of contamination of the soil is subject to the decrease in water permeability, and the decrease in the level of pollution is subject to the law of the increase in water permeability. In the article, weakly, moderately, strongly and very strongly contaminated soils with oil were studied. According to the results, it was determined that the water permeability of the soil was observed in 25, 45, 45, 37, 5, 3, 2 minutes, and it carried 75, 26, 44, 45, 540, 1050, 1200 ml of water, respectively, for 90 minutes. The amount of water transfer compared to the control soil for 90 minutes was less in 1%, 2%, 5% contaminated soils, and very high in 15%, 25% and 37.5% contaminated soils. The increase in the level of pollution is explained by the deterioration of water permeability and moisture retention. Also, due to the fact that oil is a viscous organic pollutant, the changes of 0.25, 0.5, 1, 3, 5, 7, 10 mm microaggregates, which are important for soil fertility, as a result of pollution, and changes in the amount of these microaggregates were also determined. It was found that the soils around the South Mirshodi oil field were previously contaminated and the amount of microaggregates smaller than 0.25 mm, 0.25 mm, 1 mm, 2 mm and 3 mm in the irrigated soils increased as the distance from the source of contamination increased. This is explained by the decrease in the concentration of oil in the soil. The amount of 5 mm, 7 mm and 10 mm aggregates has decreased. A similar situation was observed around the Kumkurgan oil base. The effect of petroleum hydrocarbons is more noticeable in microaggregates with a diameter of 10 mm. LA - English DB - MTMT ER - TY - JOUR AU - Ahmad, Sabarudin AU - Winarso, Kukuh AU - Yusron, Rifky AU - Amar, Samsul AU - Ma’arif, A. TI - Optimization of Calorific Value in Briquette made of Coconut Shell and Cassava Peel by varying of Mass Fraction and Drying Temperature JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 499 PY - 2024 SP - 01009 SN - 2555-0403 DO - 10.1051/e3sconf/202449901009 UR - https://m2.mtmt.hu/api/publication/34728602 ID - 34728602 AB - Coconut shells and cassava peels are agricultural residues that are abundantly produced in places where coconut and cassava processing activities are prevalent. formerly these waste products have been disposed of through incineration or natural decomposition, hence exacerbating air pollution and triggering degradation of the environment. The objective of this research is to determine the optimum combination of mixed mass fraction and drying temperature for briquettes produced from coconut shell and cassava peel. Observed variable on this research was Mass fraction with the ratio of coconut shell and Cassava peel 75:25 as level 1, 70:30 as level 2 and 65:35 as level 3. Drying temperature has 3 level 150 o C, 200 o C and 250 o C. The lowest calorific value achieved in briquette made of 65% coconut shell mix with 35% Cassava peel and drying temperature is 200 o C on second replication The highest calorific value achieved in briquette made of 65% coconut shell mix with 35% Cassava peel and drying temperature is 150 o C on third replication. Coconut shell has a greater effect than Cassava peel on the calorific value of briquettes, but the chemical content of Cassava peel makes the burning rate longer. According to the outcomes of the normality test, versus fits, histograms, and versus order plots indicate that the data has a normal distribution. based on optimization results using Taguchi L9 and ANOVA optimizer the optimal combination using rule larger better is the mass fraction of coconut shell 70:30 Cassava peel with a drying temperature of 250 o C. LA - English DB - MTMT ER - TY - JOUR AU - Gultom, Debora Rosa Linda AU - Kurniyanto, Ifan Rizky AU - Wusto, M. Bahrul TI - Exploring the consumer satisfaction and loyalty of moringa tea in Madura JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 499 PY - 2024 SP - 01019 SN - 2555-0403 DO - 10.1051/e3sconf/202449901019 UR - https://m2.mtmt.hu/api/publication/34726080 ID - 34726080 AB - Improving customer satisfaction is an essential component of the long-term survival of a business. The increasing number of similar businesses is challenging for business actors to survive in the industrial world. Every business needs to keep its customers satisfied and loyal. This study analyzes consumer satisfaction and loyalty to one of CV Nurul Jannah's processed products, moringa tea. This study uses the IPA-CSI method and Pearson correlation with quantitative research type. The sampling technique was non-random sampling. The results of this study indicate that in the analysis of each attribute with the IPA method, three attributes are in quadrant I to be the owner's top priority in making improvements, namely price comparison with other products, efficacy, and ease of obtaining moringa tea. The CSI value table is known to be 76.43%; this value based on the CSI criteria is between (66.00% - 80.99%) which states that consumers are satisfied. The correlation results show a strong and positive relationship between satisfaction and consumer loyalty of 0.786. CV. Nurul Jannah is expected to add organic compositions, such as honey, etc., to add more efficacy so that consumers feel free to buy at the price offered by the manufacturer. This will create satisfied consumers who will become loyal. LA - English DB - MTMT ER - TY - JOUR AU - Kartika, Lindawati AU - Frans, Frans AU - Widjanarko, Moreno Verli AU - An-Nadwi, Muhammad Nashiruddin AU - Zidhan, Muhammad AU - Harahap, Fahrur Rozi TI - SWOT analysis and strategy formulation to increase the competitiveness of rice agriculture MSMEs, Pamijahan District, Bogor Regency JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 499 PY - 2024 SP - 1 EP - 8 PG - 8 SN - 2555-0403 DO - 10.1051/e3sconf/202449901027 UR - https://m2.mtmt.hu/api/publication/34724739 ID - 34724739 AB - MSMEs are one of the important driving forces in the expansion of the national economy by contributing to GDP by 60.5 percent. Agriculture also has a big role in the national economy by contributing to 12.91 percent of GDP in the third quarter of 2022. Even so, the welfare of farmers is still relatively low. The welfare of farmers can be improved by increasing productivity and competitiveness. Therefore, this research was conducted to identify internal and external factors in order to improve the competitiveness of food crop subsector agricultural MSMEs and develop a technology adoption strategy. The research was conducted with literature studies and in-depth interviews with relevant experts processedusing the IFE, EFE, IE, TOWS, and AHP matrices. The main weakness of Gapoktan Pamijahan is the age of farmers who are no longer productive, but its greatest strength is that all members receive direct guidance and supervision from the Region IV Agricultural Extension Center. The highest-rated external element affecting the main prospect is the development of agricultural technology, while Gapoktan Pamijahan's main difficulty is the lack of reliable agricultural digital infrastructure in the district. The priority strategy is the Youth Agritech Incubator. LA - English DB - MTMT ER - TY - JOUR AU - Solviana, M.D. AU - Oktamalia, M. AU - Novitasari, A. TI - Development of PjBL Based Interactive E-Modules with a Scientific Approach in Remediating Misconceptions in Biology Subjects JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 482 PY - 2024 PG - 10 SN - 2555-0403 DO - 10.1051/e3sconf/202448204017 UR - https://m2.mtmt.hu/api/publication/34717872 ID - 34717872 LA - English DB - MTMT ER - TY - JOUR AU - Mukhamedieva, D.T. TI - Innovative quantum technologies in agriculture for assessing land fertility JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 494 PY - 2024 SP - 04026 SN - 2555-0403 DO - 10.1051/e3sconf/202449404026 UR - https://m2.mtmt.hu/api/publication/34702327 ID - 34702327 AB - Agriculture is a key sector ensuring food security. In the face of modern challenges such as climate change and sustainable use of resources, it becomes necessary to introduce innovative technologies to improve the efficiency of agriculture. Assessing soil fertility plays a critical role in optimizing the use of fertilizers and resources. One innovative approach is the use of quantum technologies to assess soil fertility. Variational quantum chains (VQC) provide a unique opportunity to efficiently solve classification problems in the context of soil characterization data analysis. In this study, we used data on soil chemical and physical properties, including density, moisture, pH, nitrogen, phosphorus, and potassium. To build the VQC model, we converted these data into quantum states using various ansatzes such as ZZFeatureMap and RealAmplitudes. To compare the results, we used traditional classification methods such as support vector machine (SVM) and compared them with the results obtained using VQC. We split the data into training and test sets, trained the models on the training data, and evaluated their performance on the test data. The advantages and limitations of using variational quantum circuits in assessing soil fertility were discussed. The prospects for further development and improvement of the methodology were considered. Variational quantum chains represent a promising direction for the development of innovative methods for assessing soil fertility in agriculture. The results of our study highlight the potential of quantum technologies in agriculture and the need for further research in this direction. LA - English DB - MTMT ER -