HUBUNGAN ANTARA TINGKAT PENDIDIKAN DAN PENGETAHUAN GIZI IBU DENGAN STATUS GIZI SISWA KELAS BAWAH DI SDN CAMPUREJO 1 BOJONEGORO

Abstrak Kontribusi pendidikan Ibu bisa menjadi acuan dalam pengetahuan gizi terkait kandungan dan kebersihan makanan yang dikonsumsi oleh anak sehingga anak tidak masuk dalam kategori status gizi stunting atau obesity. Tujuan dari penelitian ini adalah untuk mengetahui hubungan tingkat pendidikan dan pengetahuan Ibu dengan status gizi siswa kelas bawah SDN Campurejo Bojonegoro. Penelitian menggunakan metode korelasional untuk mengetahui hubungan antar variabel. Teknik pengambilan data menggunakan angket yang sudah tervalidasi dengan nilai validitas 0,312. Jenis penelitian menggunakan pendekatan cross sectional dengan jumlah sampel sebanyak 111 siswa yang terdiri dari kelas 1, 2, dan 3 di SDN Campurejo 1 Bojonegoro memakai teknik purposive sampling. Analisis data yang digunakan adalah uji deskriptif, korelasi gamma dan multinominal regression dengan bantuan aplikasi SPSS 25.0. Hasil penelitian deskriptif menunjukkan bahwa rata-rata tingkat Pendidikan Ibu adalah SMA (62,2%), pengetahuan gizi Ibu kategori bagus (59,5%), dan status gizi siswa kategori baik (60,4%). Hasil analisis korelasi gamma antara tingkat Pendidikan ibu dan status gizi siswa menunjukkan hubungan yang tidak signifikan (0,568>0,05). Hubungan antara pengetahuan gizi Ibu dan status gizi siswa tidak signifikan (0,555>0,05). Hasil uji multinominal regression menyimpulkan bahwa hubungan tingkat pendidikan dan pengetahuan gizi Ibu dengan status gizi siswa tidak ada hubungan yang signifikan (0,322>0,05) dengan besarnya sumbangan 18,9%. Demikian hasil penelitian ini dapat disimpulkan bahwa tidak ada hubungan yang signifikan antara tingkat pendidikan dan pengetahuan gizi Ibu dengan status gizi siswa kelas bawah di Sekolah Dasar Negeri Campurejo 1 Bojonegoro. Kata Kunci: pendidikan; pengetahuan gizi ibu; status gizi Abstract The contribution of mother's education can be a reference in nutritional knowledge related to the content and cleanliness of the food consumed by children so that children are not included in the category of stunting or obesity nutritional status. The purpose of this study was to determine the relationship between mother's education level and knowledge level with the nutritional status of the lower grade students of SDN Campurejo Bojonegoro. The research uses correlation method to determine the relationship between variables. The data collection technique uses a validated questionnaire with a validity value 0,312. This type of research use a cross sectional approach. The total sample was compose 111 students consisting of grades 1, 2, and 3 at SDN Campurejo 1 Bojonegoro using a targeted purposive sampling technique. The data analysis using was the descriptive test, gamma correlation and multinominal regression with the help of the SPSS 25.0 application. Descriptive research result shows that average mother education grade is highschool (62,2%), mother nutrition knowledge good category (59,5%), and student nutrition status good category (60,4%). Based on the analysis result gamma correlation mother education grade with student nutrition status doesn’t have significant connection (0,568>0,05). Connection between mother nutrition knowledge with student nutrition status doesn’t have significant connection (0,555>0,05). Multinominal regression test result conclude that connection between education grade and mother nutrition knowledge with student nutrition status doesn’t have signifivant connection (0,322>0,05) with big donation is 18,9%. Because of that, results of this research can be conclude that there is no significant connection between education grade and mother nutrition knowledge with student nutrition status student lower grade in SDN Campurejo 1 Bojonegoro. Keywords: education; knowledge of mother's nutrition; nutritional statu

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Infrastructure development in Indonesia creates massive impacts on the economy. The Light rail transit (LRT) of greater Jakarta (Jabodebek) project has been estimated to have cost more than 29 trillion rupiahs due to land acquisition and route planning. The urban transit development may impact to the price of property including residential, commercials and offices along the route. This research aims to determine variables affecting the price elasticity of property and the correlation to station proximity. Data mining through web scrapping was used to assess the degree of correlation between price elasticity and station location. The result shows that approximately 13% of the commercial property was spread over a distance of 1 km from the LRT station. The closer a property to transit station, the price will be twice cheaper compared to those located further. The findings also show variables that highly contribute to property prices including schools, hospitals, and proximity to some of transit stations located in city center of Jakarta and building density

The Potential for Student Performance Prediction in Small Cohorts with Minimal Available Attributes

The measurement of student performance during their progress through university study provides academic leadership with critical information on each student’s likelihood of success. Academics have traditionally used their interactions with individual students through class activities and interim assessments to identify those “at risk” of failure/withdrawal. However, modern university environments, offering easy on-line availability of course material, may see reduced lecture/tutorial attendance, making such identification more challenging. Modern data mining and machine learning techniques provide increasingly accurate predictions of student examination assessment marks, although these approaches have focussed upon large student populations and wide ranges of data attributes per student. However, many university modules comprise relatively small student cohorts, with institutional protocols limiting the student attributes available for analysis. It appears that very little research attention has been devoted to this area of analysis and prediction. We describe an experiment conducted on a final-year university module student cohort of 23, where individual student data are limited to lecture/tutorial attendance, virtual learning environment accesses and intermediate assessments. We found potential for predicting individual student interim and final assessment marks in small student cohorts with very limited attributes and that these predictions could be useful to support module leaders in identifying students potentially “at risk.”.Peer reviewe

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In studies of subjective well-being, economists and other researchers typically use a fixed or random effect estimation to control for unobservable heterogeneity across individuals. Such individual heterogeneity, although substantially reducing the estimated effect of many characteristics, is little understood. This paper shows that personality measures can account for 20% of this heterogeneity and a further 13% can be accounted for by other observable between-person information. This paper then demonstrates that the use of personality measures, in a new technique developed by [Plumper, T., Troeger, V.E. (2007). Efficient estimation of time-invariant and rarely changing variables in finite sample panel analyses with unit fixed effects, Political Analysis, 15(2), 124-139.], can help researchers obtain improved estimates for important characteristics such as marital status, disability and income. The paper argues that this has important practical implications

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Policy makers cannot make informed decisions about the regulation of charter schools without first considering the characteristics of the students who are enrolled in these schools. This report -- the first in a three-part series on New Jersey charter schools -- uses publicly available data to explore the differences found between the student populations of charter schools and those of their host districts

Social Capital from an Individual Perspective. An investigation into the influence of urbanization and the tenure of private resources on the social resources of individuals.

Our paper consists out of a theoretical and an empirical part. In the theoretical part we first elaborate on the discussion about the meaning of social capital and defend our own choice to join in with the individual school of thought. Further, we go into the lack of standardization of measurement instruments. We also demonstrate that in the literature on individual social capital, there is a considerable lack of knowledge on the possible association between the possession of human, cultural and financial capital of an individual on the one hand, and social capital on the other. Moreover, empirical investigations into the differences in social capital between rural and urban regions (or the influence of urbanization on social capital) are rare. Nevertheless, these are very interesting questions, both from a theoretical as from a policy perspective. In the empirical part of the paper, we first go into the psychometric properties of our adapted version of the Resource Generator. We also examine the association between individual social capital and indicators of human, cultural and financial capital (income and education). We will measure social capital using an improved version of the Resource Generator (van der Gaag & Snijders 2005) and will also report on the psychometric properties of this measurement instrument. In this paper we present the preliminary results of the research project Social Capital from an individual perspective. An investigation into the influence of urbanization and the tenure of private resources on the social resources of individuals. The project is sponsored by the Special research Foundation of Ghent University. Data for the research are collected in two stages. The first stage of collection is only halfway, and the analyses are carried out on the data momentarily available. Therefore, every result must be interpreted with caution. We would like to ask readers that want to quote from the article to contact the author

Big Data as a Technology-to-think-with for Scientific Literacy

This research aimed to identify indications of scientific literacy resulting from a didactic and investigative interaction with Google Trends Big Data software by first-year students from a high-school in Novo Hamburgo, Southern Brazil. Both teaching strategies and research interpretations lie on four theoretical backgrounds. Firstly, Bunge's epistemology, which provides a thorough characterization of Science that was central to our study. Secondly, the conceptual framework of scientific literacy of Fives et al. that makes our teaching focus precise and concise, as well as supports one of our methodological tool: the SLA (scientific literacy assessment). Thirdly, the "crowdledge" construct from dos Santos, which gives meaning to our study when as it makes the development of scientific literacy itself versatile for paying attention on sociotechnological and epistemological contemporary phenomena. Finally, the learning principles from Papert's Constructionism inspired our educational activities. Our educational actions consisted of students, divided into two classes, investigating phenomena chose by them. A triangulation process to integrate quantitative and qualitative methods on the assessments results was done. The experimental design consisted in post-tests only and the experimental variable was the way of access to the world. The experimental group interacted with the world using analyses of temporal and regional plots of interest of terms or topics searched on Google. The control class did 'placebo' interactions with the world through on-site observations of bryophytes, fungus or whatever in the schoolyard. As general results of our research, a constructionist environment based on Big Data analysis showed itself as a richer strategy to develop scientific literacy, compared to a free schoolyard exploration.Comment: 23 pages, 2 figures, 8 table

A review of mentorship measurement tools

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