Gizi Seimbang Dengan Anemia Pada Mahasiswa Kesehatan Di Stikes Surya Global Yogyakarta

Menurut WHO, angka kejadian anemia pada remaja putri di negara-negara berkembang sekitar 53,7%, anemia sering menyerang remaja putri disebabkan karena keadaan stress, haid, atau terlambat makanan. Kekurangan besi pada remaja mengakibatkan pucat, lemah, letih, pusing, dan menurunnya konsentrasi belajar. Seorang akademisi (mahasiswi) memiliki jadwal kuliah dan kegiatan yang padat sehingga kurang memperhatikan asupan gizi. Maka dari itu, peneliti ingin mengetahui apakah hal tersebut mempengaruhi kadar Hb yang dapat mengakibatkan mahasiswi lemah, letih, lesu, lalai, dan lupa dalam beraktivitas. Penelitian ini bertujuan untuk mengetahui hubungan gizi seimbang dengan anemia pada Mahasiswi Kesehatan di STIKes Surya Global Yogyakarta tahun 2021. Desain penelitian ini menggunakan deskriptif kuantitatif dengan pendekatan non random sampling dengan teknik pengambilan sampel adalah accidental sampling. Sampel yang digunakan sebanyak 63 sampel mahasiswi kesehatan yang berada di asrama kampus STIKes Surya Global selama masa covid-19. Pengolahan data menggunakan Chi-square. Hasil penelitian terdapat hubungan sigifikan antara gizi seimbang dengan anemia pada Mahasiswi Kesehatan di STIKes Surya Global Yogyakarta Tahun 2021 dengan p = 0,016 < ɑ (0,05). Kesimpulan terdapat hubungan gizi seimbang dengan anemia pada Mahasiswi Kesehat[1]an di STIKes Surya Global Yogyakarta Tahun 2021. According to WHO, the incidence of anemia in adolescent girls in developing countries is around 53.7%, anemia often attacks young women due to stress, menstruation, or late meals. Lack of iron in adolescents results in pale, weak, tired, dizzy, and decreased concentration in learning. An academician has a busy schedule of lectures and activities so he doesn’t pay much attention to intake. Therefore, the researcher wanted to see if this affected Hb levels which could cause students to be weak, tired, lethargic, negligent, and forgetful in their activities. This research was conducted at the health campus of STIKes Surya Global Yogyakarta in 2021. This study aims to see the correlation between balanced nutrition with anemia in health students at STIKes Surya Global Yogyakarta in 2021.The research design used quantitative descriptive with a non-random sampling approach. The sampling technique was accidental sampling. The sample used was 63 samples of health students who were in the STIKes Surya Global campus hostel during the covid-19 period. Data processing using Chi-square. The result of study is there was a significant correlation between balanced nutrition and anemia among Health Students at STIKes Surya Global Yogyakarta in 2021 with p = 0.016 <ɑ (0,05). Conclution of this research is there is a balanced nutritional correlation with anemia in Health Students at STIKes Surya Global Yogyakarta in 2021.

Sustainability of an Integrated E-Payment System in Developing Countries

Over the recent years, there has been tremendous ease in monetary transactions; all thanks to a convenient payment platform. The Integrated e-payment system (IEPS) facilitates financial transactions electronically.This study aims to examine the factorial models necessitating the continuous use of the integrated e-payment system in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT) with two additional variables; processing time and processing charges proposed. The study data were collected from 285 valid respondents in Ghana through the random sampling approach. The hypothesis verification was conducted via the SmartPLS. The result of the structural equation modelling indicate that processing charges, processing time, and social influence are the critical influencers of IEPS continuous usage intention. In addition, it also implies that financial institutions and banks liaise with designers to, perhaps, consider consumers’ perspectives in their design; such that will bring about convenience, fast processing and minimal cost in order to foster continuous use.

Researching Blockchain Technology and its Usefulness in Higher Education

The current paper focuses on the potential of using Blockchain Technology (BCT) in the Higher Education Domain and explores its usefulness in solving Higher Education issues. This research discusses the Blockchain features, challenges and its benefits in education, followed by review of some current Blockchain Higher Education applications. This paper reviews the Blockchain Technology (BCT) and its implementation in Higher Education. This research used a quantitative methodology and stratified clustered simple random sampling approach. Data has been gathered through an online survey instrument and the partial least squares structural equation modelling (PLS-SEM) technique applied to 383 responses. Blockchain technology has its unique features, benefits that can solve Education system requirements, and its successful implementation issues discussed. An effort made to gather enough consensus to build future implementation. The integrated model of Blockchain features matched to the needs of the Education System by agreement of the experts (discussions), and a survey conducted involving the students, teachers, educationists, Blockchain experts, and professionals, is tested and validated by SEM using PLS.

REVISITING THE DEMOCRATIC REPUBLIC OF THE CONGO STRATIFICATION MAP FOR THE YEAR 2000 USING CLOUD-BASED COMPOSITING AND OBJECT-BASED CLASSIFICATION ALGORITHMS

National stratification maps are essential to improve forest management systems. For the Democratic Republic of the Congo, the existing maps derived from remote sensing techniques do not allow an optimal representation of the diverse land cover classes constituting the national stratification scheme. This situation is inherent to the cloud persistence, the seasonality effects and the spatial resolution of the input satellite imagery used that is not always adequate for the discrimination of certain land cover classes. This paper explores a cloud-based median luminance best pixel approach to obtain a cloud-free mosaic of optimal quality. The mosaic produced has necessitated nearly 2,500 Landsat scenes and a following object-based classification enabled the generation of a stratification map for the year 2000 according to the national stratification theme. A stratified random sampling approach that required 1,141 reference samples allowed estimating the map accuracy at 79.32%. Land cover classes areas computed using standard good practices recommendations to estimate land areas indicated that the dense moist forest area was about 158,810,975 ± 7,460,671 ha representing 68.40% ± 3.21% of the country area. Thanks to the free, user-friendly and cloud-based platforms for satellite images processing, the methodology implemented is easily replicable for other tropical countries.

PENYAKIT ANTRAKNOSA CABAI OLEH Colletotrichum sp. DI LAHAN RAWA KALIMANTAN SELATAN

[CHILLI ANTHRACNOSE DISEASE BY Colletotrichum sp. AT SWAMP LAND OF SOUTH KALIMANTAN PROVINCE]. Anthracnose is one of the major economic constraints for chili production worldwide. This disease is caused by the fungus Colletotrichum sp. The yield loss reaches 50% - 100% in the rainy season. In swamps, the incidence of this disease begins to increase. As the basis for the integrated control of anthracnose, it is necessary to record disease incidence and identify pathogens that attack conditions in swampsThe disease intensity survey was conducted in Hiyung chilli cultivation of Hiyung village lowland and the tidal swamplands of Marabahan district. The method is using Purposive Random Sampling approach. The Koch’s Postulates is used to determined the cause of the disease. Identification of pathogens that cause anthracnose is carried out in laboratories and greenhouses. Determination of obtained pathogen’s type is using literature references. The results of this study indicate that Hiyung chilli in the Hiyung village lowland shows a fairly high incidence of disease – i.e 43.78%, moreover, the result of Marabahan district tidal swamplands is 29.29%. Three Colletotrichum species were found, namely Colletotricum truncatum, C. gleosporiedes and C. acutatum.

EFFECTIVENESS E- LEARNING IN THE PANDEMIC TIME COVID 19 TOWARDS STUDENTS 'LEARNING MOTIVATION

Background: This pandemic has caused many changes in various aspects of life including education. This change happened so fast and did not allow us to make preparations and anticipation so that the impact would not be so great. Learning at this time is more directed at modernization activities with the help of advanced technology with the hope of helping students digest lecture material in an interactive, productive, effective, inspirational, constructive, and fun way. Objective: The aim of the research was to prove the effectiveness of e-learning during the Covid-19 pandemic on the learning motivation of students in the Nursing Study Program at STIKES Bina Sehat PPNI Mojokerto. Methods: The research design used in this research is comparative exploratory which is used to describe and mention the differences and similarities of the subject under study. The sampling technique in this study used simple random sampling approach. The sample in this study was partly students in semester 6, with a sample size of 120 respondents. Collecting data using a questionnaire. This questionnaire is a modification of the previous questionnaire from Nursalam (2016) with a likert scale distributed by google form. Results: Based on the data on the effectiveness of E-Learning, most of the respondents answered that it was quite effective as many as 79 respondents or 66%, while the motivation of the students was mostly less motivated in learning as many as 89 respondents or 75%. Spearman Rho Statistical Test are obtained ρ = 0.000 with the Correlation Coefficient (r) = 0.318 which indicates a weak relationship. Conclusion: The presence of online learning methods (E-Learning) makes students motivated to learn again. During this pandemic period, it is hoped that students will remain motivated to learn and continue to attend lectures through E-Learning with various media. Keywords: E-Learning, motivation to learn.

Work-Related Challenges among Primary Health Centers Workers during COVID-19 in Saudi Arabia

This study aimed to identify certain occupational risk factors for stress among healthcare workers (HCWs) during the COVID-19 pandemic. Using a multistage random sampling approach, an online questionnaire was applied to collect data on role conflict and ambiguity, self-esteem and social support from 1378 HCWs working in primary health centers (regular and fever clinics; clinics specialized in managing patients with COVID-19 symptoms) across Saudi Arabia. The results showed that stress correlated positively with role conflict and ambiguity and negatively with social support. HCWs in fever clinics exhibited significantly more stress and role conflict and ambiguity than those who were working in regular primary healthcare centers. In conclusion, role conflict and ambiguity and social support were determinants for stress among HCWs, especially those working in fever clinics.

Investigation of energy resources and gas discoveries in the Eastern Mediterranean region: the case of people’s expectations and social impacts in Egypt

This study discusses the expected social impacts due to the recent offshore gas findings and development in the Eastern Mediterranean region on human communities in Alexandrian in the North of Egypt. A sample of 401 respondents of ordinary people who are living in the Alexandria governorate were sampled for the study using a convenience non-random sampling approach. The study showed most people are somewhat familiar with the ongoing gas discoveries in the Mediterranean Sea. The study also revealed that the people in Egypt have relatively high expectations from these gas discoveries. The ordinary people in Egypt expected that such discoveries of gas would have many positive and negative social impacts side by side. They expected several social benefits of gas finds such as: the contribution to the diversification of the economy, infrastructural development, expanding social services, improvement of the standard of living, business and investment opportunities, employment.

Reproducibly sampling SARS-CoV-2 genomes across time, geography, and viral diversity

The COVID-19 pandemic has led to a rapid accumulation of SARS-CoV-2 genomes, enabling genomic epidemiology on local and global scales. Collections of genomes from resources such as GISAID must be subsampled to enable computationally feasible phylogenetic and other analyses. We present genome-sampler, a software package that supports sampling collections of viral genomes across multiple axes including time of genome isolation, location of genome isolation, and viral diversity. The software is modular in design so that these or future sampling approaches can be applied independently and combined (or replaced with a random sampling approach) to facilitate custom workflows and benchmarking. genome-sampler is written as a QIIME 2 plugin, ensuring that its application is fully reproducible through QIIME 2’s unique retrospective data provenance tracking system. genome-sampler can be installed in a conda environment on macOS or Linux systems. A complete default pipeline is available through a Snakemake workflow, so subsampling can be achieved using a single command. genome-sampler is open source, free for all to use, and available at https://caporasolab.us/genome-sampler. We hope that this will facilitate SARS-CoV-2 research and support evaluation of viral genome sampling approaches for genomic epidemiology.