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Background: Stunting is a growth and development problem in children caused by chronic malnutrition and disease. There is no bibliometric analysis related to stunting globally and simultaneously using metadata from GS (Google Scholar) and Scopus on Vosviewer visualization from 2012 to 2022. Objectives: To study the trends in research on stunting through a bibliometric analysis of the widely used GS and Scopus databases. Methods: This method was used to investigate and evaluate a large amount of scientific data on stunting, revealing the intricacies of the evolution and novelties related to stunting over a decade (2012-2022). Discussions: Stunting studies have increased over the last decade (2012-2022). The authors most cited based on the Scopus database are Prendergast & Humphrey. The authors most cited based on the GS database is de Onis & Branca. The productive author based on GS is T Siswati from Indonesia. The top numbers one influential author based on Scopus are M. De Onis and P. Svefors. The total number one source article based on Scopus and GS is Plos One. PH Nguyen, P Menon, and VM Aguayo are the three authors who have co-authored the most documents related to stunting in the past decade based on VosViewer visualizations. Based on the results of the VosViewer visualization, six significant clusters were also discussed: review, Inequality, Ethiopia, anemia, trial, and Infant. Conclusions: Stunting prevention in areas or countries with acute stunting needs more detail from governments and WHO. We recommend that future research on the pattern of appropriate policies to prevent stunting be carried out.

Berlin banana flower (Musa acuminate AA.) was widely found in Indonesia, it is believed to contain rich bioactive phytochemical constituents. A novel prototype, a continuous system-designed ultrasound machine (CDUM), was utilized to extract the constituents of the Berlin banana flower. Extraction was done for three parts of the Berlin banana flower (inner bud, outer bud, and male flower), for each 15 min, working the solvent in different polarities (distilled water, ethanol 100%, and ethanol 50%). CDUM was equipped with a novel element namely a double-jacket chiller to hold stable temperature (≤ 30 °C) for running time. Results, the highest extract yields of all extracted Berlin banana flower parts (13.80 ± 0.16% - 15.33 ± 0.18%) was generated by the ethanol 50%. However, the extract yield average of each part was equal. By the best solvent, the male flower part extract had the highest antioxidant capacity (47.13 ± 0.72%). Bioactive phytochemical classes i.e. phenolics, terpenoids, alkaloids, amino acid derivatives, fatty acid derivatives, organic sulfur-containing compounds, and saponins were contained in the extracts of different Berlin banana flower parts. The richest phenolics (12 compounds) were present in the male flower part extract., mainly gallic acid, caffeic acid, phenyllactic acid, 2,3-Dihydro-1-benzofuran-2-carboxylic acid, 4-(hydroxymethyl)benzoic acid, and 2,5-di-tert-Butylhydroquinone, which are only contained in it. The CDUM extracted the Berlin banana flower more efficiently (high yield, low energy consumption) than the conventional technique.

Background: Work is carried out to improve rivaroxaban's dissolution rate (DR) and develop mouth-disintegrating tablets for rapid onset of action. Objectives: The work objective was to improve the dissolution rate of rivaroxaban using PEG 6000 by preparing its solid dispersions (SDs) further to prepare mouth-disintegrating tablets (MDTs). Methods: Methods like physical mixing, melting, and solvent evaporation were used to prepare SDs at 1:0.5, 1:1, and 1:1.5 w/w ratios of rivaroxaban with PEG 6000 were prepared. Differential scanning calorimetry (DSC) and Infrared spectroscopy (IR) were used to characterize the SDs. The selected solid dispersion at an appropriate drug: carrier ratio was used to develop MDTs by direct compression, using super disintegrants. Results: The SDs show improved solubility and rate of dissolution. SDs developed using a melting or solvent evaporation technique showed a more than two-fold increase in dissolution rate. In the dissolution study, after 60 min, the pure drug dissolved 45 %, while the prepared SDs showed almost more than 90 % within the same period. No significant drug carrier interaction was observed in the IR and DSC studies. However, minor shifts in peak values were observed for the characterization of functional groups in the drug structure. Conclusions: Formulation of solid dispersions of the drug with PEG 6000 is a successful approach for the dissolution rate improvement of rivaroxaban. This work for dissolution rate improvement of rivaroxaban using PEG 6000 showed significant improvement in dissolution rate at a 1:1 w/w ratio prepared by solvent evaporation method, which was further selected for mouth disintegrating tablet formulation.

Unmanned aircraft are usually used to perform missions, for example surveillance missions. This mission is not always carried out in a suitable location. Researchers must ensure that the aircraft can take off properly. For this reason, runway distance greatly affects the performance of the aircraft. The aircraft can fail to take off due to the lack of thrust generated by the propeller. The propeller diameter size of each unmanned aircraft can differ from one another and this difference in propeller diameter causes a difference in thrust force. Therefore, it is very important to determine the right propeller diameter to be used on an unmanned aircraft that is adjusted to the runway distance. This propeller selection analysis is carried out using experimental methods, which is tool testing and simulation with Propeller Power Calculator software. The results of this study can be seen that a propeller with a larger diameter will produce a greater thrust force. The size of the diameter and pitch and the number of blades of a propeller can also affect the amount of thrust generated. This will be a consideration for choosing a propeller to be used on an unmanned aircraft. So that the selected propeller can be used optimally by reviewing the amount of thrust that is influenced by the amount of diameter.

Learning is a process to help students learn well and where interaction or reciprocal relationships occur between students and their environment in achieving a goal. And to achieve this goal requires media and learning models. One of them is Augmented Reality media with the Knisley learning model. The aim of this research is to find out how to apply Augmented Reality learning media with the Knisley learning model and what the learning outcomes of students are in using Augmented Reality learning media with the Knisley learning model on class V prism material at SD GMIT Kuanino 3, Kupang City. This type of research is quantitative research with a descriptive method. The data collection techniques used in the research are observation, interviews and tests. The observation data is supported by the results of interviews with students and teachers who found that the use of Augmented Reality-based prism media with the Knisley learning model makes learning more enjoyable. Allows students to visualize prisms interactively, supporting active learning. From the test results, it is said that learning outcomes are complete after using augmented reality-based prism media with the Knisley model. So it is said that students fulfill the specified KKTP. This learning not only increases students' understanding, but also improves critical thinking skills and abilities. Thus, the application of prism media based on Augmented Reality with the Knisley model can be considered an innovative and effective approach to prism learning.

Objective: To investigate the effect of Moringa oleifera leaf extract on semen quality parameters in Teressa goat buck. Methods: A total of 25 semen samples from six bucks were selected for the study. Spermatozoa of 150× 106 were incubated in 0, 300, 500 and 700 μg of leaf extract as group I, II, III and IV, respectively. Liquid stored semen samples were analysed for motility, viability, total sperm abnormalities, plasma membrane, acrosomal and nuclear integrities, seminal plasma intracellular enzymes [aspartate aminotransferase (AST), alanine aminotransferase (ALT) and lactate dehydrogenase (LDH)] and total antioxidant capacity (TAC) and spermatozoa malondialdehyde (MDA) and cholesterol efflux in comparison with the control group (group I) for up to 72 h. Results: Moringa oleifera leaf extract (500 μg/150× 106 spermatozoa)-treated semen had significantly higher motility, viability, plasma membrane, acrosomal and nuclear integrities, and TAC (P

Coconut are tropical plants and can be easily found in Indonesia. Virgin Coconut Oil (VCO) is one of the products produced from coconut beans. VCO is processed using fermentation techniques to maintain its quality and purity. This study aimed to determine the effect of yeast dosage and fermentation time on VCO yield, water content, and free fatty acids. Yeast dosage and fermentation time were the two treatment factors used in this study with a factorial Completely Randomized Design (CRD). To assess the impact of each treatment, the data was analyzed by using ANOVA with the significance level of 95%, followed using the Zeleny method analysis to find the best treatment condition. The oil found in this study was in compliance with SNI 7381:2008 and Asian Pacific Coconut Community (APCC) standards. The effect of yeast dose and fermentation period on oil yield, water content, and free fatty acid content in VCO was significant at α = 0.05. The results of the analysis showed that the best treatment condition was found at a yeast rate of 10 g and a fermentation time of 20 h. This treatment resulted about 15.67% oil yield with 0.2% moisture content and 0.2% free fatty acids.

In Indonesia, there is a rich diversity of cultures, one of which is traditional houses. Traditional houses essentially have the potential to represent the way of life, culture, and local economy. Traditional houses in Indonesia, particularly in the Malaka region, are important cultural symbols that can be regarded as cultural icons in Malaka and Indonesia. They provide a historical perspective, heritage, and reflect the progress of society in a civilization. The Convolutional Neural Network (CNN) method is used in this research. In this study, the CNN algorithm is applied to classify traditional house objects. These traditional house objects are divided into two categories: Kolibein Traditional House and Laleik Traditional House. The objective of this research is to classify traditional houses in Malaka, namely Kolibein Traditional House and Laleik Traditional House, and also to determine the accuracy level of CNN classification results. The previously created model is tested using test data to assess its accuracy. The testing is conducted on 20 data points, with 10 data points in each respective class. The testing results show that the classification of Kolibein and Laleik traditional houses is error- free or very accurate. Based on the model developed for classifying Kolibein and Laleik traditional houses using the Convolutional Neural Network method, it is evident that this method is capable of producing accurate results. The obtained results indicate that the accuracy, based on the classification report using images of Kolibein and Laleik traditional houses, reaches 100%. Therefore, it can be concluded that the constructed CNN model has a high level of accuracy.

Abstract This paper aims to analyze the text of Luke 17:11-19 about the ten lepers from the perspective of People Living with HIV/AIDS (PLWHA) in Maumere. The author conducts this research by using qualitative method. The data is taken from depth interviews and participatory observation at Flores Plus Support-Maumere Peer Support Group (KDS). By using a reader-oriented approach, this paper analyzed the experiences of PLWHA and their perspectives on the account of the ten lepers. The findings showed that for HIV survivors in Maumere, peer groups play an important role in raising their hopes in the midst of high rate of stigma and discrimination. In the eyes of PLWHA, the role of KDS can be juxtaposed with the “group” of the ten lepers in Luke’s story. Abstrak Artikel ini bertujuan untuk menganalisis teks Lukas 17:11-19 tentang kesepuluh orang kusta dari perspektif Orang dengan HIV/AIDS (ODHA) di Maumere. Untuk membahas masalah ini penulis melakukan penelitian kualitatif dengan wawancara mendalam dan observasi partisipatoris di Kelompok Dukungan Sebaya (KDS) Flores Plus Support-Maumere. Dengan menggunakan pendekatan reader oriented artikel ini menganalisis pengalaman para ODHA dan sudut pandang mereka tentang kisah kesepuluh orang kusta. Hasil penelitian ini menunjukkan bahwa, bagi para ODHA di Maumere, kelompok sebaya memainkan peran penting untuk membangkitkan harapan mereka di tengah tingginya stigma dan diskriminasi. Dalam kacamata para ODHA, peran KDS dapat dibandingkan dengan “paguyuban” sepuluh orang kusta dalam kisah Lukas.

Pengelolaan irigasi secara modern menuju revolusi industri 4.0 harus disertai dengan teknologi. Termasuk pengiriman data debit air ke sekretariat Komisi Irigasi Provinsi yang lambat dan tidak up to date, maka perlu suatu inovasi alat Pencatat Debit Real-Time (Pede Tanam 1.0). Cara kerja alat pengukur debit air realtime ini adalah dua sensor dipasang pada sebuah penampang baik di saluran irigasi dan datanya diolah dengan sistem mikrokontroler untuk dikirimkan melalui jaringan internet dengan cepat dan akurat serta hasilnya ditampilkan pada aplikasi yang diinstal pada PC atau handphone berupa data numerik dan grafik, serta informasi luas lahan yang bisa dialiri dengan debit saat ini. Kemudian informasi debit bisa dicetak langsung dalam blanko O-6 secara otomatis. Pengiriman up date data dari sensor dapat di atur per lima menit sekali. Konsep baru ini sudah di uji coba di Daerah Irigasi Manikin Kabupaten Kupang, Propinsi Nusa Tenggara Timur. Hasil dari penelitian ini, bahwa pengembangan sistem informasi debit air dengan alat pengukur debit air realtime sudah berjalan dengan baik, termasuk updating data dan juga pencetakan blanko O-6 secara langsung dari sistem informasi Pede Tanam maupun dari aplikasi pada smart phone. Hal ini akan sangat berguna dimasa-masa mendatang untuk diterapkan di daerah dengan wilayah kepulauan, selain masalah efisiensi juga masalah konflik sosial dapat dihindari.

Some feeds that are used as protein sources, such as fish meal and soybean meal, have a relatively high cost. Therefore, synthetic amino acids, such as arginine and lysine, can be used as alternative protein sources. This study determined the effect of L-arginine and L-lysine in low-protein feed on the growth of one- to six-week-old native chickens. A total of 250 one-week-old native chickens were divided into five treatments and five replications based on a completely randomized design. The treatments were T-2 (0.46% L-arginine + 0.42% L-lysine + 19% crude protein), T-1 (0.56% L-arginine + 0.51% L-lysine + 18% crude protein), T0 (0.66% L-arginine + 0.60% L-lysine + 17% crude protein), T+1 (0.76% L-arginine + 0.69% L-lysine + 16% crude protein), and T+2 (0.86% L-arginine + 0.78% L-lysine + 15% crude protein). The highest feed consumption occurred in the T0 and T+1 treatments (612.81±4.82 and 609.00±8.75 g/chick), and the T+1 group had the highest body weight and weight gain (296.08±1.09 kg/chick and 265.48±1.57 g/chick). The highest carcass weight and percentage at T+1 was 177.57±2.04 g/chick and 59.97±0.55%/chick, respectively. The best feed conversion was at T+1 (2.29±0.40). Statistical analysis showed that the treatment had a significant effect on feed consumption, body weight, weight gain, feed conversion, carcass weight, and carcass weight percentage (P