scholarly journals Implementasi Penilaian Autentik Kurikulum 2013 pada Rapor Online di SMK Negeri 6 Malang

2016 ◽  
Vol 1 (1) ◽  
pp. 51
Author(s):  
Galih Sudiyanto ◽  
Eddy Sutadji ◽  
Eddy Rudiyanto
Keyword(s):  
Authentic Assessment ◽  
Research Findings ◽  
Using Data ◽  
The City

One factor that is considered difficult to implement by teacher in the 2013 Curriculum is authentic assessment. However, this can be overcome with an online report that was initiated by Dispendik for all schools in the city of Surabaya. The study aims to see the implementation of authentic assessment in the 2013 Curriculum at a school that have implemented online report in Malang, namely SMK Negeri 6 Malang. The method used was a case study using questionnaires, interviews and documentation. The validity of research findings was examined using data triangulation technique. The respondents were productive teachers who teach automotive skills in the same class so that there is a correlation between the data obtained from the teachers and the students. The result shows that the implementation of authentic assessment in the 2013 Curriculum at SMK Negeri 6 Malang is in good category and teachers were greatly assisted by the online report.-------------------------------------------------------------------------------------Salah satu faktor yang sulit untuk dilaksanakan oleh guru dalam Kurikulum 2013 adalah penilaian autentik. Penelitian ini bertujuan untuk melihat penerapan penilaian autentik Kurikulum 2013 pada sekolah yang sudah menerapkan rapor online di Kota Malang. Rancangan penelitian ini menggunakan deskriptif kualitatif dengan pendekatan studi kasus yang dilaksanakan di SMK Negeri 6 Malang. Metode pengumpulan data menggunakan instrumen angket, wawancara dan dokumentasi. Pengecekan keabsahan temuan penelitian menggunakan teknik trianggulasi data. Responden adalah guru produktif keahlian Otomotif yang mengajar pada kelas yang sama sehingga ada korelasi antara data yang didapat dari guru dan siswa. Hasil penelitian menunjukkan bahwa: (1) Pemahaman guru SMK Negeri 6 Malang terhadap penilaian autentik Kurikulum 2013 sangat baik sebesar 90%, (2) Pelaksanaan penilaian autentik Kurikulum 2013 oleh guru SMK Negeri 6 Malang sudah baik sebesar 70, (3) Manajemen rapor online oleh  Tim  IT  sudah  baik  dalam  memudahkan  pelaksanakan penilaian autentik Kurikulum 2013 di SMK Negeri 6 Malang sebesar 80%.

scholarly journals Punching out: exploring justifications for employment land conversions in the GTA

2021 ◽  
Author(s):  
David Cogliano
Keyword(s):  
Smart Growth ◽  
Land Conversion ◽  
Transit Oriented Development ◽  
Planning Policy ◽  
Policy Goals ◽  
Planning Framework ◽  
Support Employment ◽  
Research Findings ◽  
The City

The current planning framework in the Province of Ontario is based on principles of “smart growth” including transit oriented development, intensification, and a focus on building complete communities. While the advancement of these principles has been positive in certain cases, the literature identifies that industrial lands may face redevelopment pressure as smart growth principles are adopted. This paper provides the opportunity to assess the extent of which this is the case in the context of the City of Markham. A content analysis of twelve employment land conversion applications provides for an on-the-ground case study of how the planning framework in Ontario, informed by smart growth principles, is leveraged by developers to support employment land conversions. Research findings include conflicting interpretations, among stakeholders, of planning policy goals related to employment land. Recommendations include the need for a more consistent articulation of policy goals and a rethink of traditional zoning strategies for industrial lands.

scholarly journals An Evaluation of the Living Wage: Identifying Pathways Out of In-Work Poverty

2017 ◽  
Vol 17 (3) ◽  
pp. 379-392 ◽  
Author(s):  
Jo Swaffield ◽  
Carolyn Snell ◽  
Becky Tunstall ◽  
Jonathan Bradshaw
Keyword(s):  
Important Determinant ◽  
Qualitative Interviews ◽  
Living Standards ◽  
Sample Survey ◽  
Living Wage ◽  
Wage Rates ◽  
The Hours ◽  
Using Data ◽  
The City

This article reports the results of a case study on the introduction of the living wage. Three employers in the City of York became living wage employers. Using data derived from a sample survey of their employees and qualitative interviews, this article explores what impact the receipt of the living wage had on poverty and deprivation. It found that not all living wage employees were income poor or deprived, although those on living wage rates were more likely to be poor and deprived than those on even higher wages. The more important determinant of the employees’ living standards was the household they lived in, and there were a high proportion of living wage employees living in multi-unit households. Also important were the number of earners in the household and the hours worked by the living wage employee. Lone parent families and single people appeared to be most vulnerable to poverty and deprivation. In addition, whether the employee took up their entitlement to in-work benefits was critical and, using benefit checks by welfare rights experts, it was found that some were not.

scholarly journals Analysis of the tourists' motivation for staying in cities: The case study of the City of Belgrade

2021 ◽  
Vol 57 (45) ◽  
pp. 51-65
Author(s):  
Milena Podovac
Keyword(s):  
Factor Analysis ◽  
Urban Tourism ◽  
Primary Data ◽  
Survey Method ◽  
Future Research ◽  
Sociodemographic Characteristics ◽  
Research Findings ◽  
The City ◽  
Descriptive Statistical Analysis

This paper presents the results of research on the tourists' motivation for staying in the City of Belgrade. The purpose of this paper is to identify the motives for which tourists usually stay in Belgrade and to examine the existence of statistically significant differences between the motives of tourists depending on their sociodemographic characteristics (gender, age, education and origin). The research sample included 250 respondents who had stayed in Belgrade. Belgrade is the most visited destination of urban tourism thanks to the quality and diversity of tourist offer, which can satisfy different motives of tourists. In order to collect primary data, a survey method was applied while descriptive statistical analysis, t-test of independent samples and one-factor analysis of variance (ANOVA) were used to process the collected data. The research findings indicate that the largest number of respondents stayed in Belgrade due to: business reasons, scientific conferences, visits to relatives and/or friends, sightseeing of the city and nightlife. Based on the theoretical analysis and results of empirical research, the recommendations for future research were also presented in the paper.

scholarly journals Mixed-effects design analysis for experimental phonetics

2018 ◽  
Author(s):  
James Kirby ◽  
Morgan Sonderegger
Keyword(s):  
Effect Size ◽  
Statistical Significance ◽  
Design Analysis ◽  
P Value ◽  
Technical Report ◽  
The Social ◽  
Research Findings ◽  
Using Data ◽  
Types Of Error

It is common practice in the statistical analysis of phonetic data to draw conclusions on the basis of statistical significance, often judged by the size of a p-value. While p-values reflect the probability of incorrectly concluding a null effect is real, they do not provide information about other types of error that are also important for interpreting statistical results. In particular, it is possible to fail to detect a true effect, to exaggerate the magnitude of an effect, or even to incorrectly estimate an effect's direction, resulting in erroneous and biased measures of effect size. In this technical report, we focus on three measures related to these errors. The first, power, reflects the failure to detect an effect that in fact exists. The second and third, Type M and Type S errors, measure the extent to which estimates of the magnitude and direction of an effect are inaccurate. We then provide 'design analysis' (Gelman & Carlin, 2014), using data from an experimental study on German incomplete neutralization, to illustrate how power, magnitude, and sign errors vary with sample and effect size. This case study shows how the informativity of research findings can vary substantially in ways that are not always, or even usually, apparent on the basis of a p-value alone. We conclude by repeating three recommendations for good statistical practice in phonetics from best practices widely recommended for the social and behavioral sciences: report all results; design studies which will produce high-precision estimates; and conduct direct replications of previous findings.

scholarly journals Digital Community Social Capital (Case Study on Increasing the Popularity of Millennial Youtubers in Makassar City)

2021 ◽  
Vol 2 (2) ◽  
pp. 70-80
Author(s):  
Andry Wijaya ◽  
Suparman Abdullah ◽  
Rahmad Muhammad
Keyword(s):  
Social Capital ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Digital Community ◽  
Internet Media ◽  
The Social ◽  
Using Data ◽  
The Cost ◽  
The City

One of the global developments that is fast and has quite an impact on the pattern of people's lives is developments in the field of technology and information, namely through the internet. YouTube has become an internet media that is in demand by various audiences around the world. Disbursing youtube adsense is fairly complicated, but the work as a youtuber is currently in great demand by Millennials. Youtuber is a new job that is synonymous with Millennials in this 4.0 industrial era. This study aims to determine the use of social capital trust by youtubers in increasing popularity, as well as to determine the use of social capital linking youtubers in increasing popularity. This study uses a qualitative approach, with informants namely millennial youtubers who live in the city of Makassar. Data collection techniques through observation, interviews and documentation, with data analysis techniques using: data reduction, data presentation and drawing conclusions and verification. The results of the study show that trust social capital is widely used by youtubers to increase their popularity, in this case increasing the number of subscribers and viewers on their youtube channel. Many YouTubers use social capital linking or networks to increase the number of subscribers and viewers. The social capital of the network used is by utilizing the friendship and community of YouTubers in the process of designing content, taking videos, editing to uploading videos and socializing YouTube channels in order to minimize the cost of managing YouTube channels for YouTubers

scholarly journals Punching out: exploring justifications for employment land conversions in the GTA

2021 ◽  
Author(s):  
David Cogliano
Keyword(s):  
Smart Growth ◽  
Land Conversion ◽  
Transit Oriented Development ◽  
Planning Policy ◽  
Policy Goals ◽  
Planning Framework ◽  
Support Employment ◽  
Research Findings ◽  
The City

The current planning framework in the Province of Ontario is based on principles of “smart growth” including transit oriented development, intensification, and a focus on building complete communities. While the advancement of these principles has been positive in certain cases, the literature identifies that industrial lands may face redevelopment pressure as smart growth principles are adopted. This paper provides the opportunity to assess the extent of which this is the case in the context of the City of Markham. A content analysis of twelve employment land conversion applications provides for an on-the-ground case study of how the planning framework in Ontario, informed by smart growth principles, is leveraged by developers to support employment land conversions. Research findings include conflicting interpretations, among stakeholders, of planning policy goals related to employment land. Recommendations include the need for a more consistent articulation of policy goals and a rethink of traditional zoning strategies for industrial lands.

scholarly journals Investigating the factors on attracting resources for urban development in Vietnam

Accounting ◽  
2021 ◽  
pp. 933-942 ◽  
Author(s):  
Tuan Anh Nguyen ◽  
Thanh Thuy Cu
Keyword(s):  
Human Resources ◽  
Urban Development ◽  
Influential Factors ◽  
Financial Resources ◽  
Factors Influencing ◽  
Research Findings ◽  
Infrastructure System ◽  
Development Goals ◽  
The City

This study is carried to analyze the factors influencing the attracting resources for urban development in a case study in Vietnam. The research findings show that factors such as human resources, local policies, infrastructure system, local advantages, and international integration were the most influential factors on the ability to attract resources. At the same time, the study carried out the forecast of the need to use resources for urban development of Phuc Yen city in Vietnam. The resources forecasted in the study are human resources and financial resources. For human resources, with the data collected through surveys and evaluation of enterprises - an important subject promoting the socio-economic development of the city, the authors assessed the adaptive capacity of this human resource to serve the development goals of the urban. As for financial resources, the study predicts the demand for capital for industry, agriculture, and services of Phuc Yen City by 2030. The research findings are the basis for proposing solutions to support and promoting the attraction of resources for urban development of Phuc Yen City, Vietnam.

scholarly journals The Role of Tourist Ambassadors in the Image Establishment of Palu City After the Natural Disasters through Instagram

MEDIASI ◽  
2020 ◽  
Vol 1 (1) ◽  
pp. 73-78
Author(s):  
Sumarni Zaenuddin ◽  
Donal Adrian
Keyword(s):  
Natural Disasters ◽  
Information Content ◽  
Case Study Approach ◽  
Study Approach ◽  
Research Findings ◽  
The Government ◽  
Main Thing ◽  
The City

The purpose of research is to know the role of tourist ambassadors in the formation of the image of Palu City after the natural disasters through Instagram. The method used is qualitative with a case study approach withdrawal of informant using purposive sampling. Research findings show that in the effort to build imagery through Instagram, the main thing that is done by tourist ambassadors (Randa'a ante Kabilasa) is by changing the perception of society as a follower through the publication of various kinds of information/content both in the form of images, texts, and videos about the city of Palu affected by natural disasters but able to rise to a better change, i.e. the activity of public that return to normal in the field of economics and culture. Furthermore, the improvement of land road infrastructure, air (airport) and the sea (port) is the main focus of the government. 

Using Machine Learning to support health system planning during the Covid-19 pandemic: a case study using data from São José dos Campos (Brazil)

2021 ◽  
Vol 24 (3) ◽  
Author(s):  
Leila Abuabara ◽  
Maria Gabriela Valeriano ◽  
Carlos Roberto Veiga Kiffer ◽  
Horácio Hideki Yanasse ◽  
Ana Carolina Lorena
Keyword(s):  
Machine Learning ◽  
Population Characteristics ◽  
Machine Learning Techniques ◽  
System Planning ◽  
Health System Planning ◽  
Learning Techniques ◽  
Using Data ◽  
The City ◽  
Support Decision Making

Many efforts were made by the scientific community during the Covid-19 pandemic to understand the disease and better manage health systems' resources. Believing that city and population characteristics influence how the disease spreads and develops, we used Machine Learning techniques to provide insights to support decision-making in the city of São José dos Campos (SP), Brazil. Using a database with information from people who undergo the Covid-19 test in this city, we generate and evaluate predictive models related to severity, need for hospitalization and period of hospitalization. Additionally, we used the SHAP value for models' interpretation of the most decisive attributes influencing the predictions. We can conclude that patient age linked to symptoms such as saturation and respiratory distress and comorbidities such as cardiovascular disease and diabetes are the most important factors to consider when one wants to predict severity and need for hospitalization in this city. We also stress the need of a greater attention to the proper collection of this information from citizens who undergo the Covid-19 diagnosis test.

scholarly journals Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve

2020 ◽  
Vol 17 (10) ◽  
pp. 3437 ◽  
Author(s):  
Murat Simsek ◽  
Burak Kantarci
Keyword(s):  
Artificial Intelligence ◽  
Worst Case Analysis ◽  
Assessment Centers ◽  
Mobility Patterns ◽  
Worst Case ◽  
Mobile Crowdsensing ◽  
Using Data ◽  
Effective Assessment ◽  
The City

The global outbreak of the Coronavirus Disease 2019 (COVID-19) pandemic has uncovered the fragility of healthcare and public health preparedness and planning against epidemics/pandemics. In addition to the medical practice for treatment and immunization, it is vital to have a thorough understanding of community spread phenomena as related research reports 17.9–30.8% confirmed cases to remain asymptomatic. Therefore, an effective assessment strategy is vital to maximize tested population in a short amount of time. This article proposes an Artificial Intelligence (AI)-driven mobilization strategy for mobile assessment agents for epidemics/pandemics. To this end, a self-organizing feature map (SOFM) is trained by using data acquired from past mobile crowdsensing (MCS) campaigns to model mobility patterns of individuals in multiple districts of a city so to maximize the assessed population with minimum agents in the shortest possible time. Through simulation results for a real street map on a mobile crowdsensing simulator and considering the worst case analysis, it is shown that on the 15th day following the first confirmed case in the city under the risk of community spread, AI-enabled mobilization of assessment centers can reduce the unassessed population size down to one fourth of the unassessed population under the case when assessment agents are randomly deployed over the entire city.

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