Many pregnant women still neglect the importance of nutrition during pregnancy, which leads to inadequate nutrient intake and increases the risk of complications such as miscarriage, low birth weight, premature birth, or infant mortality. At Gamping 1 Health Center in 2024, out of 1,793 pregnant women examined, approximately 3.35% or 60 individuals suffered from Chronic Energy Deficiency (CED) and 4.96% or 89 individuals experienced anemia. The method used is the Analytical Hierarchy Process (AHP) because it is one of the approaches that can break down complex multi-factor or multi-criteria problems into a hierarchy. Practically, this system can help pregnant women meet their daily nutritional needs optimally and support healthcare workers in providing data-based education. Thus, this DSS is expected to contribute to reducing the rates of CED and anemia among pregnant women.
We present measurements of key protoplanetary disk properties inferred from parametric models of ALMA 12 CO spectral line visibilities. We derived gas-disk radii, integrated fluxes, optically thick emission layers, and brightness temperature profiles for the disk population of the old (4–14 Myr) Upper Scorpius star-forming region. We measured CO emission sizes for 37 disks with bright CO J = 3–2 emission (S/N > 10 on the integrated flux; out of the 83 disks with CO detections), finding that the median radius containing 90% of the flux is ∼82 au, with radii spanning from 22 up to 247 au. We report a correlation between the 12 CO brightness temperatures and stellar luminosities, with a Pearson coefficient of 0.6, which we used to prove that the 12 CO optically thick emission layer primarily emanates from a region below the superheated dust, which is optically thin to the stellar irradiation. Moreover, we derive 33 CO emission-surface height profiles, finding a median aspect ratio of ⟨ z/r ⟩ ∼ 0.16 in a range from ∼0.01 up to ∼0.45 over the sample. Finally, we comment on the multiple systems in our sample, of which only some were already known. These results confirm that it is possible to derive bulk disk properties by modeling moderate-angular-resolution ALMA visibilities.
Dental equipment plays a crucial role in supporting the quality of service at the Dental Clinic. At the Pratama Wiwit Clinic, equipment selection is still done manually without systematic analysis, making it prone to procurement errors and budget waste. The main research question is how the Mamdani Fuzzy Method can help determine the best dental equipment based on criteria such as price, brand, warranty, supplier, and equipment degradation. The research method includes data collection through observation, interviews, and documentation, followed by fuzzification, rule formation, fuzzy inference, and defuzzification. Test results show the system provides accurate recommendations with the highest fuzzy value of 0.85 for a device prioritized for procurement. This system has been proven to improve the objectivity and efficiency of the procurement process and can be adopted by other dental clinics to minimize waste and ensure the availability of equipment as needed.
Modern antenna design faces significant challenges in terms of simulation time and accuracy for electromagnetic (EM) field simulations. These simulations, especially those involving large-scale or complex antenna designs, are heavily reliant on intensive computations that require substantial computational resources. To address this, parallel computing approaches using GPUs (Graphics Processing Units) through the CUDA (Compute Unified Device Architecture) platform have shown significant results in accelerating EM simulations. In this study, we implemented CUDA-based parallel processing to improve the efficiency of electromagnetic field simulations in antenna design. By utilizing simulation methods such as FDTD (Finite Difference Time Domain) and MoM (Method of Moments), we achieved a reduction in simulation time by up to 40%, with speedups of up to 40.16× for FDTD simulations and approximately 10 times faster for MoM simulations. Additionally, memory optimization and algorithm improvements, such as memory coalescing and shared memory usage, ensured that the speedup did not sacrifice simulation accuracy. While there were challenges in adapting sequential algorithms to parallel execution and managing memory on the GPU, the use of profiling tools helped identify and resolve performance bottlenecks. The findings of this research demonstrate the effectiveness of CUDA-based processing in accelerating EM field simulations, which has significant implications for antenna design cycles. Future research could focus on further improving parallel processing algorithms and expanding the use of GPU acceleration in other antenna design simulation areas.
This study aims to determine Governance in Tourism Planning towards World Tourism in Bappeda of Yogyakarta City. This study uses a descriptive research method with a qualitative approach. Where the type of data consists of primary data obtained through interviews, observations and direct documentation in the field, while secondary data is obtained from data that has been collected by researchers through documents related to the study. The analysis techniques in this study are data reduction (Data Reduction), data presentation (Data Display), and conclusion drawing (Conclusion Drawing).The results of the study indicate that the Governance process in Tourism Planning towards World Tourism in Bappeda of Yogyakarta City has been running since Pangandaran began to separate from Ciamis. Based on the results of the study, it can be concluded that the Collaborative Governance process in Tourism Planning in Yogyakarta City has been organized and also invites the community to contribute to the development of tourism in Yogyakarta City.
