179 research outputs found

    Pengembangan Game Marine Ecosystem Hero Menggunakan Fuzzy Logic

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    Game merupakan hiburan yang biasanya diangkat dari masalah dalam kehidupan sehari-hari, salah satunya adalah masalah ekosistem laut. Pada saat ini kebanyakan kondisi ekosistem laut sangat memprihatinkan dikarenakan kurangnya kepedulian masyarakat akan kebersihan ekosistem laut. Untuk menyampaikan pesan agar masyarakat peduli pada lingkungan laut diperlukan media yang interaktif, maka dari itu dibuat sebuah Game yang bernamakan Marine Ecosystem Hero. Game ini memberikan misi agar player dapat mengumpulkan sampah sebanyak mungkin untuk mendapatkan poin sebelum waktu habis. Poin dan sisa waktu digunakan untuk menghitung total skor. Oleh karena itu, dibutuhkan sebuah metode yaitu Fuzzy Logic untuk menghitung skor akhir player sehingga dapat ditentukan apakah player dapat lolos ke level selanjutnya atau tidak. Hasil dari penelitian ini menunjukkan bahwa implementasi metode Fuzzy Logic berjalan dengan baik dalam Game Marine Ecosystem Hero. Game ini dinilai untuk memberikan nilai score yang sesuai pada setiap levelnya. Sesuai hasil dari 30 responden game ini memenuhi kepuasan user sebanyak 63%

    Spectrophotometric flow injection method for the determination of Bendiocarb insecticide in water samples using chromogenic reagent 2,4-dinitrophenylhydrazine

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    Objective: Bendiocarb (BEN) is an acutely toxic carbamate insecticide which is used in public places and agriculture. The present study describes a new, sensitive, and accurate flow injection analysis method for the determination of BEN in its pesticide formulations and water samples.Methods: The developed method is based on an alkaline hydrolysis of BEN in NaOH, and the resultant product was coupled with 2,4-dinitrophenylhdrazin in the presence of sodium periodate to form red-colored product which measured at 515 nm.Results: Under the optimum conditions established (sample volume 150 μL, flow rate 2 mL/min, with 75 cm reaction coil length) for spectrophotometric determination of Bendiocarb. Beer's law is obeyed in the range of 1–150 μg/mL with a detection limit of 0.738 μg/mL, with average recovery of 100.737 and relative standard deviation % of 1.331%.Conclusion: The established method was successfully applied for the determination of BEN in pesticide formulation and real spiked water sample

    Strategi Pembelajaran Anak Usia Dini Berbasis Multiple Intelligence

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    Gardner explains that intelligence is some of the abilities that a person possesses, which will not all be equal to the abilities others have, because they are of many types, Gardner calls them multiple intelligences. The development of learning strategy is intended to provide an alternative paradigm in order to prepare PAUD/TK/RA teachers who have special skills in early childhood education. Therefore, further research on the effectiveness of early childhood learning strategies based on multiple intelligences was developed to improve the competence of RA teachers. The research method used experiments, involving 116 RA teachers in Pemalang district. Data analysis used statistical analysis of Paired Sample T-Test, which aims to find out the effectiveness of AUD based learning strategy based on multiple intelligence in improving the competence of PAUD/TK/RA teachers. The results showed the significance of paired sample t-test of 0.000 (<0.05) with a t value of 9.555. Thus, the results of the analysis show that statistically, the effectiveness of early childhood learning strategies based on mulitple intelligence in improving the competence of RA teachers is tested

    Quantum rotation gates with controlled nonadiabatic evolutions

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    Quantum gates can be implemented adiabatically and nonadiabatically. Many schemes used at least two sequentially implemented gates to obtain an arbitrary one-qubit gate. Recently, it has been shown that nonadiabatic gates can be realized by single-shot implementation. It has also been shown that quantum gates can be implemented with controlled adiabatic evolutions. In this paper, we combine the advantage of single-shot implementation with controlled adiabatic evolutions to obtain controlled nonadiabatic evolutions. We also investigate the robustness to different types of errors. We find that the fidelity is close to unity for realistic decoherence rate

    Advanced Flowrate Control of Petroleum Products in Transportation: An Optimized Modified Model Reference PID Approach

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    Efficient flowrate control is paramount for the seamless operation and reliability of petroleum transportation systems, where precise control of fluid movement ensures not only operational efficiency but also safety and cost-effectiveness. The main aim of this paper is to develop a highly effective modified model reference PID controller, tailored to ensure optimal flowrate control of petroleum products throughout their transportation. Initially, the petrol transportation process is analyzed to establish a suitable mathematical model based on vital factors like pipeline diameter, length, and pump attributes. However, using a basic first-order time delay model for petrol transportation systems is limiting due to inaccuracies, variable delay issues, safety oversights, and real-time control complexities. To improve this, the delay portion is approximated as a third-order transfer function to better reflect complex physical conditions. Subsequently, the PID controller is synthesized by modifying its structure to address flowrate control issues. These modifications primarily focus on the controller’s derivative component, involving the addition of a first-order filter and alterations to its structure. To optimize the proposed controller, the genetic, black hole, and zebra optimization techniques are employed, aiming to minimize an integral time absolute error cost function and ensure that the outlet flow of the controlled system closely follows the response of an appropriate reference model. They are chosen for their proficiency in complex optimization to enhance the controller's effectiveness by optimizing parameters within constraints, adapting to system dynamics, and ensuring optimal conditions. Through simulations, it is demonstrated that the proposed controller significantly enhances the stability and efficiency of the control system, while maintaining practical control signals. Moreover, the proposed modifications and intelligent tuning of the PID controller yield remarkable improvements compared to previous related work, resulting in a 36% reduction in rise time, a 63% reduction in settling time, an 80% reduction in overshoot, and a 98% reduction in cost value

    Kaidah-Kaidah Fikih dalam Fatwa Dewan Syariah Nasional MUI (Studi Analisis Terhadap Fatwa DSN MUI Tahun 2000-2021)

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    Jurisprudence is the source important for MUI in the legal basis for fatwas. Each fatwa must contain fiqh rules relating to the problem posed and the fatwa decision given. Jurisprudence is the science of the law of human actions which is obtained from the syara' arguments. This study aims to determine the rules of fiqh that are considered and map the DSN-MUI fatwa in 2000-2021. This study used descriptive qualitative method. The material of this research comes from the DSN-MUI fatwa in 2000-2021. The result of this research is that the rules of fiqh are the third in the consideration of the DSN-MUI fatwa in 2000-2021. Most of the fiqh rules are derivatives of the 2nd major rule, namely "Confident cannot fall with doubt", this rule is often used in the DSN-MUI fatwa with a total of 153 fiqh rules. The distribution of themes that is often used is the theme of financing. There are 53 financing themes in the DSN-MUI fatwa for the years 2000-202

    Indirect Spectrophotometric Determination of Antidepressant Drugs by Oxidation Using Ponceau 4R Dye

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    A simple and sensitive indirect spectrophotometric method is developed for the assay of Adrenaline, Dopamine hydrochloride, and Methyldopa in their pure and pharmaceutical preparations. The method is based on the principle of oxidation of the above drugs with a known amount of the oxidizing agent, N-bromosuccinimide (NBS), in hydrochloric acid. The unreacted oxidant bleaches Ponceau 4R dye, then the absorbance of the remaining dye (∆A) is measured at 507 nm. The method obeyed Beer’s law within the concentration range of 3.5-10, 4-15, and 5-20 μg/mL, with molar absorptivity values of 8.01×104, 5.32×104, and 4.93×104 L. mol-1cm-1 for Adrenaline, Dopamine hydrochloride and Methyldopa, respectively. The recovery ranged between 99.15 to 100.61%, and the relative standard deviation (RSD) was less than 1.42 % for all drug compounds. The method was applied successfully to pharmaceutical preparations for the studied medicinal compounds from different origins, as its results were in good agreement with the original content of the drugs in their pharmaceutical formulations and with the standard addition procedure, which proved that there was no interference by the excipients

    Influence of Voxelotor–hemoglobin complexes in the estimation of hemoglobin S levels by the current standard of care laboratory evaluation techniques

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    BackgroundSickle cell disease is an inherited disorder characterized by the presence of sickle hemoglobin (HbS). The process of Hb molecule polymerization is a pivotal step in the sickling process. Voxelotor, a recently approved novel therapeutic agent, is known to interfere with polymerization. We aim to study the impact of Voxelotor on Hb variants analysis using high performance liquid chromatography (HPLC).Material and methodsWe are reporting the impact of Voxelotor on Hb variants analysis using HPLC after an informed consent and medical research committee approval. Data was collected from eight patients who are enrolled in the GBT440-034OL study using electronic medical records, to evaluate the Hb levels, hemolytic markers and the clinical response.ResultsOur patients were well-balanced for gender, with a mean age of 31.1 years (19–50). Six patients showed a significant improvement in the Hb level, with reduced reticulocytes, bilirubin, LDH and an improved clinical outcome. Interestingly, these patients showed the appearance of a split band of Hb S and D on HPLC impacting significantly on HbS level. Two patients did not show any improvement on laboratory parameters, and no changes on their HPLC analysis.ConclusionsWe report here eight patients on Voxelotor therapy, six of which showed improved hemolytic markers and anemia and demonstrated the appearance of HbD peak on the HPLC chromatogram. Therefore, the absence of HbD on HPLC or other laboratory methods for estimating HbS in patients on Voxelotor therapy, gives the clinician a possible hint regarding the patient's compliance with the drug

    Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning.

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    OBJECTIVES:To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. BACKGROUND:Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method for the segmentation of multiple structures from Coronary Computed Tomography Angiography (CCTA) images. METHODS:Images from a multicenter registry of patients that underwent clinically-indicated CCTA were used. The proximal ascending and descending aorta (PAA, DA), superior and inferior vena cavae (SVC, IVC), pulmonary artery (PA), coronary sinus (CS), right ventricular wall (RVW) and left atrial wall (LAW) were annotated as ground truth. The U-net-derived deep learning model was trained, validated and tested in a 70:20:10 split. RESULTS:The dataset comprised 206 patients, with 5.130 billion pixels. Mean age was 59.9 ± 9.4 yrs., and was 42.7% female. An overall median Dice score of 0.820 (0.782, 0.843) was achieved. Median Dice scores for PAA, DA, SVC, IVC, PA, CS, RVW and LAW were 0.969 (0.979, 0.988), 0.953 (0.955, 0.983), 0.937 (0.934, 0.965), 0.903 (0.897, 0.948), 0.775 (0.724, 0.925), 0.720 (0.642, 0.809), 0.685 (0.631, 0.761) and 0.625 (0.596, 0.749) respectively. Apart from the CS, there were no significant differences in performance between sexes or age groups. CONCLUSIONS:An automated deep learning model demonstrated segmentation of multiple cardiovascular structures from CCTA images with reasonable overall accuracy when evaluated on a pixel level
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