38 research outputs found
Basic Rules of Communication Between a Doctor and a Patient
Communication between a doctor, other medical personnel, and a patient occupies a special place in the healthcare system. Each patient visit to a medical institution is accompanied by direct interaction with medical personnel, and communication with a doctor is particularly important.Communicative competence occupies one of the leading places in a doctor's professional activity. This is because the results of treatment, the patient's health, and life depend on the communication between the doctor and the patient, who are the main participants in communication in medicine
The effect of Double Rows Cropping Pattern with Corn on the Quantitative Characters of Some Varieties of Soybean in the Dry Land, Central Lombok, Indonesia
A field experiment was conducted in May-August 2021 on land in Central Lombok Regency for research purposes. The study's objectives are 1) to increase the Cropping Index from 2 to 3; 2) to know that soybean and corn varieties are in the tip and suitable for superimposing on dry land; 3) to improve the efficiency of dry land use so that it can be used as a reference for farming technology in Central Lombok Regency.The results of the research showed that: 1) factors of a combination of planting distances in the double planting pattern with the interaction of various soybean varieties superimposed with corn are not significantly different; 2) fundamental differences in the various varieties with the most production yields of Kemuning varieties 1; 3) in the planting distance pattern of 50x20x15 cm with a soybean plant population of 266,608 trees, the production yield is 1.2 tons per hectare, and the corn plant population is 98,224 trees produced 7.3 tons per hectare
Design and Development of a Cutting-Edge Machine Learning-Driven Virtual Learning Platform to Revolutionize Online Education and Im-prove Student Learning during COVID-19
Instructors in virtual classes are facing previously unheard-of difficulties in sustaining student engagement and attendance as the COVID-19 pandemic continues to alter the education landscape. To solve this pressing problem, we have created facial analysis technology that enables teachers to track students' engagement and attention in real-time.Our user-friendly platform uses cutting-edge face detection technology and machine learning to give teachers a visual dashboard that shows disengaged students as red boxes and engaged students as green boxes. This cutting-edge tool helps teachers determine which students need more encouragement or support, guaranteeing individualized attention and better learning results.Our tool provides instructors with features, such as automated attendance records and early departure detection, that go beyond simple attendance tracking and help them optimize online class management. Our solution seeks to humanize online learning by utilizing facial analysis to provide students with a more engaging and productive learning environment
Design and Development of a Cutting-Edge Machine Learning-Driven Virtual Learning Platform to Revolutionize Online Education and Improve Student Learning during COVID-19
Instructors in virtual classes are facing previously unheard-of difficulties in sustaining student engagement and attendance as the COVID-19 pandemic continues to alter the education landscape. To solve this pressing problem, we have created facial analysis technology that enables teachers to track students' engagement and attention in real-time.Our user-friendly platform uses cutting-edge face detection technology and machine learning to give teachers a visual dashboard that shows disengaged students as red boxes and engaged students as green boxes. This cutting-edge tool helps teachers determine which students need more encouragement or support, guaranteeing individualized attention and better learning results.Our tool provides instructors with features, such as automated attendance records and early departure detection, that go beyond simple attendance tracking and help them optimize online class management. Our solution seeks to humanize online learning by utilizing facial analysis to provide students with a more engaging and productive learning environment
Tree Planting to Build Student Character at TGBC Thailand
Plantation of trees is an activity to shape the character of students who care about the environment. This community service activity aims to foster a sense of environmental awareness to shape students' character through tree planting, which is one of the efforts to green the environment. This activity is a collaboration between the Faculty of Economics and Business of Swadaya Gunung Jati University Indonesia, Panca Sakti University Tegal Indonesia, Thai Globa Business Administration Technological College Thailand (TGBC Thailand), Suan Dusit University and Eastern Institute for Integrated Learning in Management University India. Community service activities were conducted at TGBC Thailand, with 50 participants consisting of 20 students and 30 lecturers. With this community service activity, students' character is formed by caring for the environment through tree planting activities in the surrounding environment. Besides, students can work together as a team, support each other, and strengthen their social ties to protect the environment
Different Rates of N:P:K Fertilizer Effect on the Growth, Yield and Productivity of Component Crops in Upland Rice-Soybean Intercropping System
A two-year field experiment was carried out in the 2018 and 2019 cropping seasons to assess the effect of different rates of N:P:K (15:15:15) fertiliser on the growth, yield and productivity of component crops in upland rice-soybean intercrop in lowland humid region of Umudike, southeast Nigeria. The experiment was laid out in randomised complete block design (RCBD) with three replications. However, cropping system fertiliser rates were considered fixed during the statistical analysis to elicit more information on the effect of the cropping system in the study. The treatments include intercrop rice-soybean with five levels of N:P:K 15:15:15 at 0, 100, 200, 300 and 400 kg/ha fertiliser rates and sole upland rice and sole soybean each at the same rate. The results showed that the interaction of upland rice and soybean with N:P:K fertiliser significantly affected the plant height, number of leaves, leaf area index, weight of seeds per panicle, weight of seeds per plant and 1000 - seeds weight of upland rice. Based on the result of this investigation, it was observed that the cropping system and increased fertiliser rates positively affected the growth and yield component of upland rice and soybean. It was noted that the N:P:K fertiliser rate (400 kg) gave the highest growth and yield component of upland rice in the rice/soybean intercropping system. LER, as shown from the result, indicated that intercropped upland rice with 400 kg/ha N.P.K was highest in 2018, although the trend was not the same in 2019 as the gross monetary return
Different Rates of N:P:K Fertilizer Effect on the Growth, Yield and Productivity of Component Crops in Upland Rice-Soybean Intercropping System
A two-year field experiment was carried out in the 2018 and 2019 cropping seasons to assess the effect of different rates of N:P:K (15:15:15) fertiliser on the growth, yield and productivity of component crops in upland rice-soybean intercrop in lowland humid region of Umudike, southeast Nigeria. The experiment was laid out in randomised complete block design (RCBD) with three replications. However, cropping system fertiliser rates were considered fixed during the statistical analysis to elicit more information on the effect of the cropping system in the study. The treatments include intercrop rice–soybean with five levels of N:P:K 15:15:15 at 0, 100, 200, 300 and 400 kg/ha fertiliser rates and sole upland rice and sole soybean each at the same rate. The results showed that the interaction of upland rice and soybean with N:P:K fertiliser significantly affected the plant height, number of leaves, leaf area index, weight of seeds per panicle, weight of seeds per plant and 1000 - seeds weight of upland rice. Based on the result of this investigation, it was observed that the cropping system and increased fertiliser rates positively affected the growth and yield component of upland rice and soybean. It was noted that the N:P:K fertiliser rate (400 kg) gave the highest growth and yield component of upland rice in the rice/soybean intercropping system. LER, as shown from the result, indicated that intercropped upland rice with 400 kg/ha N.P.K was highest in 2018, although the trend was not the same in 2019 as the gross monetary return
Agronomic Appearance, Genetic Parameters of Red and Black Rice (Oryza sativa L.) in Different Environments Dry Land
Increasing yield and adaptability of brown and black rice in functional sub-optimal environments begins with increasing genetic diversity through conventional crosses between diverse germplasm. This study aims to determine the yield, genetic diversity, heritability, and interactions between rice genotypes in two different growing environments. The study was conducted in April-August 2021. The study was designed using a two-factor Randomized Block Design (RAK) with three replications. The first factor genotype consisted of 15 treatments, namely: 6 brown rice lines (G1-G6), five black rice lines (G7-G11), three the parents are Baas Selem (G13), Situpatenggang (G14), and GH Padi red rice (the elder of the brown rice line) and one comparison variety Inpago Unram 1 (G15). The second factor consists of two locations: Tampak Siring Village, Batukliang District (379 m asl) and Mujur Village, Praya Timur District (103 m asl) Central Lombok Regency. The results showed that the yield of Inpago Unram 1 (G15) was higher than other genotypes, namely 7.10 t/ha. The lines with the exact yield as the GH of red rice (brown rice strain parent) and Situ Patenggang (black rice parent) were G6 and G10 with a value of 5.21 t/ha and 5.35 t/ha, respectively. High heritability values were indicated by plant height and grain yield, while the other traits were classified as low to moderate with a range below 0.20 to 0.45. The coefficient of genetic diversity in the number of productive tillers was relatively high, namely 51.27%. Slightly low values were obtained for plant height and number of non-productive tillers with values of 38.63% and 48.26%, respectively. Developing G6 and G10 genotypes are recommended because they have higher yields. All tested genotypes were able to adapt to two different growing environments
Study of the Effect of Giving Organic Fertilizer as a Substitution of Chemical Fertilizer for the Growth and Product Components of Corn in Dry Vertisolands
The continuous use of chemical fertilizers causes a decrease in soil quality and crop production. Vertisol soil has sufficient nutrients but cannot be utilized by plants. Provision of organic fertilizers can improve soil quality. This study aims to survey the effect of applying organic fertilizers as a substitute for chemical fertilizers on the growth and yield components of maize in vertisol dry land. This experiment was conducted on vertisol dry land in Mujur Village, Central Lombok Regency, from July to November 2022. The experiment used a Randomized Block Design (RBD) with two factors: organic fertilizer factor P0 (without organic fertilizer), P1 (organic fertilizer 5 t/ha), P2 (organic fertilizer 10 t/ha). Chemical fertilizer factors, K1 (NPK 25%), K2 (NPK 50%), K3 (NPK 75%), K4 (NPK 100%), obtained 12 treatment combinations and three replications so that there were 36 treatment units. The observed parameters included plant height, leaf width, number of leaves, cob weight, length, and cob diameter. Data were analyzed with Factorial RAK ANOVA and further testing using Honest Significant Difference (BNJ) analysis. The results showed that the use of organic fertilizers had a significant impact on all observed parameters. Treatment without organic fertilizer showed a minor effect compared to treatment with organic fertilizer, while treatment P1 (5 t/ha) and P2 (10 t/ha) showed no significant difference except for cob length (P1). The application of NPK fertilizer at doses of 25%, 50%, 75%, and 100% did not significantly impact corn's growth and yield components
Analysis of the Carrying City of Agricultural Land for Rice Crop in the Watershed of Beh, Nusa Tenggara Barat, Indonesia
This research aims to analyze the carrying capacity of agricultural land for food self-sufficiency in the Beh Watershed, Sumbawa, West Nusa Tenggara, Indonesia. The research method used is a survey method and secondary data collection. The survey was carried out by interviewing respondents and key informants and direct observation of field conditions. The combined theory of Odum, Christeiler, Ebenezer Howard, and Issard is the method used to calculate the carrying capacity of agricultural land. Land's carrying capacity is, in principle, determined by the land's ability to produce food to meet food needs. To calculate the minimum physical needs, we use the per capita rice equivalent consumption level of 265 kg per person per year. The results showed that the minimum land area for rice self-sufficiency in the Beh watershed is 0.0754 ha per capita/year in Lunyuk District. In other districts, the minimum requirement for rice food self-sufficiency is 0.085 are/capita/year. The minimum requirement for rice self-sufficiency varies depending on each district's land productivity and harvest area. The average rice productivity in Beh watershed's seven districts is 3.28 tons/ha. The level of carrying capacity of agricultural land in the Beh watershed shows that there are three classes of carrying capacity in 7 districts, i.e., capable of food self-sufficiency (Lunyuk, Moyohulu, Ropang, Lenangguar), capable of food self-sufficiency but not yet able to provide a proper life (Orong Telu and Lantung districts), and not yet able to be self-sufficient in food (Batulanteh)