Analisis Faktor Orang Tua Menyekolahkan Anak pada Sekolah Dasar Berbasis Islam di Kota Malang

This study intends to explore the factors behind the choice of parents to send their children to Islamic based elementary schools in Malang city. The sample consisted of 162 class I parents using cluster/area sampling and proportional sampling. The data collection tool is a closed questionnaire. While data analysis uses SPSS 24.00 for windows. The results of the study obtained factors that influence the choice of parents to send their children to Islamic based elementary schools in Malang, namely religious factors, character education, school quality, potential development, and service. Abstrak: Penelitian ini bermaksud untuk menggali faktor yang melatarbelakangi pilihan orangtua menyekolahkan anak pada SD berbasis Islam di Kota Malang. Sampel terdiri atas 162 orangtua kelas I dengan menggunakan cluster/area sampling dan proportional sampling. Alat pengumpul data adalah angket tertutup. Sedangkan analisis data menggunakan SPSS 24.00 for windows. Hasil penelitian diperoleh faktor yang mempengaruhi pilihan orangtua menyekolahkan anak pada SD berbasis Islam di Kota Malang yaitu faktor religi, pendidikan karakter, mutu sekolah, pengembangan potensi, dan pelayanan.

Pengelompokkan Tingkat Kriminalitas di Indonesia Menggunakan Algoritma Average Linkage

Crime needs to be analyzed and grouped so that the act does not cause harm either ecologically or psychologically. The statistical method that can be used to classify crime is the Average Linkage Algorithm. The study aims to group and analyze the characteristics of criminal cases in Indonesia. From the results of the analysis, 3 clusters were formed based on the average of each cluster. Cluster 1 consists of Aceh, West Sumatra, Riau, Jambi, South Sumatra, Bengkulu, Lampung, Kep. Bangka Belitung, Kep. Riau, West Java, Central Java, DI Yogyakarta, East Java, Banten, Bali, West Nusa Tenggara, East Nusa Tenggara, West Kalimantan, Central Kalimantan, South Kalimantan, East Kalimantan, North Sulawesi, Central Sulawesi, South Sulawesi, Southeast Sulawesi, Gorontalo, Maluku, North Maluku and Papua. Cluster 2 consists of North Sumatra while Cluster 3 consists of Metro Jaya. The grouping results are the basis of the government, apparatus, and the community in implementing the handling of criminal acts that occur in each cluster area so that prevention can minimize the losses caused by these crimes.

Analisis Faktor-Faktor yang Mempengaruhi Pembangunan Pariwisata Berkelanjutan Dampaknya terhadap Kualitas Hidup Masyarakat di Kecamatan Simanindo, Kabupaten Samosir

The purpose of this study was to analyze the factors that influence sustainable development and the quality of life of the community in Simanindo District, Samosir Regency. The sampling used probability sampling through cluster/area random sampling involving 50 respondents from the community in Simanindo District, especially the community in Tomok Village, Tuk-tuk Siadong Village, and Ambarita Village. Data collection techniques were carried out through questionnaires, interviews, and documentation. Data analysis was performed using path analysis. The results of the study of economic, socio-cultural, and environmental factors have a direct influence on sustainable development and the quality of life of the community in Simanindo District, Samosir Regency. Likewise, sustainable development has a direct influence on the quality of life of the community in Simanindo District, Samosir Regency. Furthermore, the quality of life of the people in Simanindo District, Samosir Regency is directly influenced by economic factors and socio-cultural factors without going through sustainable development. On the other hand, the quality of life of the people in Simanindo District, Samosir Regency is influenced indirectly by environmental factors, through sustainable tourism.

Pengembangan Ekonomi Masyarakat Melalui Pembuatan WA Group Bisnis dalam Meningkatkan Pemasaran Ibu-Ibu di Perumahan Puri Depok Mas, Depok

Economic activities in society during this pandemic need to be increased. Among them is by moving the economy from small community groups in residential areas. There is a huge opportunity for economic activity in today's residential areas, especially after the government adopted the PSBB (Large-Scale Social Restriction) policy, which in the end, many community activities were transferred to their respective areas of residence. This is an opportunity for the surrounding community to build their economic passion. One of the strategies is to create a forum in order to improve marketing, increase capabilities through knowledge sharing sessions and rotate the economy between people. The activities carried out in this service area by creating a business community in the WhatsApp group (WAG) platform and managing the business activities in it. There are approximately 226 residents of the Puri Depok Mas (Depok) cluster area who are members of this community. PDM Market Partners, which are business communities in the cluster area, have been established since the pandemic, with members as members of sellers and buyers. Sellers are dominated by new businesses, some of which were established during the pandemic. With the existence of a business community through this WAG, it can accommodate all the needs of the seller with regard to the scope of his business and to the buyer for the goods he needs.

The Profile of COVID-19 Patients in Semen Padang Hospital Indonesia

The rapid increase in the number of Coronavirus Disease 2019 (COVID-19) cases, including in Padang, has led the government to designate several hospitals as referrals for COVID-19 patients. The profile of COVID-19 patients is needed to describe the pattern of this disease in Padang. Objectives: To revealed the profile of COVID-19 patients in SPH, Indonesia. Methods: This was a retrospective study. This study was conducted and collected data of COVID-19 patients from March to June 2020. Results: There are 54 patients with mean age of 50.93 (14.6) years old, 43% male and 57% female. The clinical manifestations are cough (74%), fever (37%), sore throat (22%), and fatigue (35%). There are 82% of patients admitted that they have contacted with other COVID-19 patients or have activities in COVID-19 cluster area, and only 7% have traveled to other cities. The mean length of stay is 31.91 (14.87) days. The mean laboratory data: Hemoglobin 13.7 (1.39) gr/dl, WBC 8,037.04 (2,846.27) /mm3, platelet 274,389 (75,053.80) /mm3, and NLR 3.16 (3.37). Chest radiograph results are bronchopneumonia (22.22%), cardiomegaly (7.41%), and normal (70.37%). Conclusion: The profile of COVID-19 patients in SPH is more in female patients, cough is the most clinical manifestation that appeared, the mean laboratory data (hemoglobin, WBC, and platelet) are normal, and normal chest radiography is the most chest radiograph results in these patients.Kata kunci: COVID-19, Padang, profile

Perfusion and permeability as diagnostic biomarkers of cavernous angioma with symptomatic hemorrhage

Cavernous angiomas with symptomatic hemorrhage (CASH) have a high risk of rebleeding, and hence an accurate diagnosis is needed. With blood flow and vascular leak as established mechanisms, we analyzed perfusion and permeability derivations of dynamic contrast-enhanced quantitative perfusion (DCEQP) MRI in 745 lesions of 205 consecutive patients. Thirteen respective derivations of lesional perfusion and permeability were compared between lesions that bled within a year prior to imaging (N = 86), versus non-CASH (N = 659) using machine learning and univariate analyses. Based on logistic regression and minimizing the Bayesian information criterion (BIC), the best diagnostic biomarker of CASH within the prior year included brainstem lesion location, sporadic genotype, perfusion skewness, and high-perfusion cluster area (BIC = 414.9, sensitivity = 74%, specificity = 87%). Adding a diagnostic plasma protein biomarker enhanced sensitivity to 100% and specificity to 85%. A slightly modified derivation achieved similar accuracy (BIC = 321.6, sensitivity = 80%, specificity = 82%) in the cohort where CASH occurred 3–12 months prior to imaging after signs of hemorrhage would have disappeared on conventional MRI sequences. Adding the same plasma biomarker enhanced sensitivity to 100% and specificity to 87%. Lesional blood flow on DCEQP may distinguish CASH after hemorrhagic signs on conventional MRI have disappeared and are enhanced in combination with a plasma biomarker.

An assessment of risk factors for contracting rabies among dog bite cases recorded in Ward 30, Murewa district, Zimbabwe

Background Zoonoses are a major threat to human health. Worldwide, rabies is responsible for approximately 59 000 deaths annually. In Zimbabwe, rabies is one of the top 5 priority diseases and it is notifiable. It is estimated that rabies causes 410 human deaths per year in the country. Murewa district recorded 938 dog bite cases and 4suspected rabies deaths between January 2017 and July 2018, overshooting the threshold of zero rabies cases. Of the 938dog bite cases reported in the district, 263 were reported in Ward 30 and these included all the 4suspected rabies deaths reported in the district. This necessitated a study to assess risk factors for contracting rabies in Ward 30, Murewa. Methodology/ Principal findings A descriptive cross sectional survey was used for a retrospective analysis of a group of dog bite cases reported at Murewa Hospital, in Ward 30. Purposive sampling was used to select dog bite cases and snowball sampling was used to locate unvaccinated dogs and areas with jackal presence. The dog bite cases and relatives of rabies cases were interviewed using a piloted interviewer-administered questionnaire. Geographical Positioning System (GPS) coordinates of dog bite cases, vaccinated and unvaccinated dogs and jackal presence were collected using handheld GPS device. QGIS software was used to spatially analyse and map them. Dog owners were 10 times more likely to contract rabies compared to non-dog owners (RR = 10, 95% CI 1.06–93.7). Owners of unvaccinated dogs were 5 times more likely to contract rabies compared to owners of vaccinated dogs (RR = 5.01, 95% CI 0.53–47.31). Residents of the high density cluster (area with low cost houses and stand size of 300 square meters and below) were 64 times more likely to contract rabies compared to non-high density cluster residents (RR = 64.87, 95% CI 3.6039–1167.82). Participants who were not knowledgeable were 0.07 times more likely to contract rabies, compared to those who had knowledge about rabies. (RR = 0.07, 95% CI 0.004–1.25). Our study shows that the risk factors for contacting rabies included; low knowledge levels regarding rabies, dog ownership residing in the high density cluster, owning unvaccinated dogs and spatial overlap of jackal presence with unvaccinated dogs.

IL-1β mediated nanoscale surface clustering of integrin α5β1 regulates the adhesion of mesenchymal stem cells

Clinical use of human mesenchymal stem cells (hMSCs) is limited due to their rapid clearance, reducing their therapeutic efficacy. The inflammatory cytokine IL-1β activates hMSCs and is known to enhance their engraftment. Consequently, understanding the molecular mechanism of this inflammation-triggered adhesion is of great clinical interest to improving hMSC retention at sites of tissue damage. Integrins are cell–matrix adhesion receptors, and clustering of integrins at the nanoscale underlies cell adhesion. Here, we found that IL-1β enhances adhesion of hMSCs via increased focal adhesion contacts in an α5β1 integrin-specific manner. Further, through quantitative super-resolution imaging we elucidated that IL-1β specifically increases nanoscale integrin α5β1 availability and clustering at the plasma membrane, whilst conserving cluster area. Taken together, these results demonstrate that hMSC adhesion via IL-1β stimulation is partly regulated through integrin α5β1 spatial organization at the cell surface. These results provide new insight into integrin clustering in inflammation and provide a rational basis for design of therapies directed at improving hMSC engraftment.

Evacuation shelter suitability modeling under combined geo-hydrological hazards in Western Ghat region, India

<p>Geo-hydrological hazards like floods and landslides are common in mountain regions. During a disaster, evacuation shelters become a primary need of people. We develop a model to find suitable locations for emergency shelters in flood and landslide strikes in a rural mountain setting of the Western Ghat region, India. Firstly, susceptibility maps for flood and landslide hazards are prepared using a machine learning (Random forest) algorithm. Then location suitability modeling is done in GIS using the entropy method. The following entropy evolution factors are considered- flood susceptibility, landslide susceptibility, land use, distance from the road, distance from the hospital, distance from the market, distance from the fire station, distance from safe water sources, and the population of settlement cluster area. Model constraining factors like steep slope, high landslide, flood susceptible area, and protected area are accounted for using a cost matrix. The model is compared with community-based suitability mapping and evacuation centers during the past disaster of 2005. The study will contribute towards better disaster-resilient planning of rural mountainous settlements.</p><p><strong>Keywords</strong>: Evacuation shelter, landslide, flood, random forest, entropy method, GIS</p>