scholarly journals Dampak Kebijakan Pandemi Covid-19 Pada Masjid Raya

2021 ◽  
Vol 1 (3) ◽  
pp. 190-221
Author(s):  
Muhammad Saerozi
Keyword(s):  
Data Collection ◽  
Mixed Method ◽  
Group Discussion ◽  
Discussion Forums ◽  
Qualitative And Quantitative ◽  
Data Collection Methods ◽  
The Impact ◽  
Collection Methods

The Covid-19 pandemic that has hit Indonesia since March 2109 has an impact on all aspects of life, including in this study the impact on mosque cash. This study aims to analyze the trend of obtaining mosque cash funds at the Istiqomah Ungaran Grand Mosque before and during the covid-19 pandemic, if there is a decline then what causes the decline to occur and what philanthropic strategies are made by mosque administrators to optimize the mosque's cash funds. This research was completed by using a mixed method qualitative and quantitative with data collection methods through observation, interviews, documentation and group discussion forums (FGD). This study found that a significant decrease occurred in the cash fund of the Great Mosque of Istiqomah Ungaran due to the reduced activities organized by the mosque. The strategy made by the administrators of the Istiqomah Grand Mosque in Ungaran is with online recitations as well as infaq payments and online Istiqomah RA and SD Istiqomah tuition payments.  

scholarly journals Analysis of the Impact of Teacher Program Direktorat PSMK(SM3T Program) to Animo Learning Students in Biological Lessons In SMKN 1 Kintamani, Bali

BIODIK ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. 77-82
Author(s):  
Ervan Johan Wicaksana ◽  
Pramana Atmadja
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Descriptive Study ◽  
Biology Teacher ◽  
Data Collection Methods ◽  
Quantitative Descriptive ◽  
Learning Interest ◽  
The Impact ◽  
Collection Methods

This analytic descriptive study aims to determine the impact of the accompanying teacher of the SM3T program towards on the learning interest of the students in biology subject at SMKN 1 Kintamani, Bangli, Province of Bali. Data collection methods with observation, questionnaires and interviews. Data were analyzed by quantitative descriptive. The results of the regression analysis between the presence of the accompanying teacher and the learning interest of the students in Biology subject get a determination value of 0.28. These data indicate that 28% of the learning interest of students at SMK 1 Kintamani is influenced by the presence of a companion biology teacher in the Direktorat PSMK program.   Abstrak. Penelitian deskriptif analitik ini bertujuan untuk mengetahui dampak program guru pendamping Direktorat PSMK (Program SM3T) terhadap animo belajar peserta didik pada mata pelajaran biologi di SMKN 1 Kintamani, kabupaten Bangli, Propinsi Bali. Metode pengumpulan data dengan observasi, angket dan wawancara. Data dianalisis dengan deskriptif kuantitatif. Hasil analisis regresi antara adanya guru pendamping dengan animo belajar peserta didik pada mata pelajaran Biologi mendapatkan nilai determinasi sebesar 0,28. Data tersebut menenuntukkan bahwa 28% animo belajar peserta didik di SMKN 1 Kintamani dipengaruhi oleh adanya guru biologi pendamping pada program Direktorat PSMK.   Kata Kunci: Guru Pendamping, Program Direktorat PSMK, Animo Belajar

scholarly journals Thematic Teaching Materials based on Riau Local Wisdom

2021 ◽  
Vol 5 (3) ◽  
pp. 369
Author(s):  
Miftahul Jannah ◽  
Zaka Hadikusuma Ramadan
Keyword(s):  
Quantitative Analysis ◽  
Data Collection ◽  
Average Score ◽  
Learning Resources ◽  
Qualitative And Quantitative Analysis ◽  
Teaching Materials ◽  
Qualitative And Quantitative ◽  
Data Collection Methods ◽  
Study Results ◽  
Collection Methods

Learning was the process of interaction between students and learning resources. Learning resources should support good interaction. One of the learning resources was teaching materials. Teaching materials will make students learn more structured and can motivate. But today, there were still few who make thematic teaching materials. The aims of this research is to create thematic teaching materials based on Riau local wisdom. The type of research conducted was R&D with 4D  models. The subjects of this study were 6 experts, consisting of 2 material experts, 2 linguists and 2 design experts. The data collection methods were interviews and validation sheets. The analysis was qualitative and quantitative analysis of interview data and validation sheets. The study results stated that the thematic teaching materials based on Riau local wisdom are worth seeing from the material, language, and design aspects with an average score of 93% with very valid category. So, thematic teaching materials based on local wisdom of Riau are worth using.

scholarly journals Epidemiology of constipation in adults: Why estimates of prevalence differ

2019 ◽  
Vol 5 (1) ◽  
pp. 37
Author(s):  
Barry Werth
Keyword(s):  
Data Collection ◽  
Older Adult ◽  
Epidemiological Studies ◽  
Community Dwelling ◽  
Data Collection Methods ◽  
Wide Range ◽  
Prevalence Estimates ◽  
Age Range ◽  
The Impact ◽  
Collection Methods

This review of over 80 articles published in the last 30 years shows that estimates of the prevalence of chronic constipation in community-dwelling adults varied widely from 2.4% to 39.6% in general adult populations and from 4% to 25.8% in older adult populations. Estimates of the prevalence of any constipation (including both chronic and sporadic constipation) also varied widely from 2.6% to 31.0% in general adult populations and from 4.4% to 44.5% in older adult populations. Apart from any country or regional differences, this wide range of estimated prevalence may be attributed to different definitions used for both chronic and any constipation as well as different data collection methods and sampling differences. Sampling issues include sample size, representativeness and age range of populations sampled. Further research is required to examine the impact of different definitions on prevalence estimates to help determine the best definitions for use in future epidemiological studies. If standard definitions can be universally agreed and used, along with appropriate sampling and data collection methods, more precise estimates of constipation prevalence should be attained. This would allow more meaningful comparisons between countries and may also provide the ability to pool results.

scholarly journals Preanalytical errors in medical laboratories: a review of the available methodologies of data collection and analysis

2016 ◽  
Vol 54 (1) ◽  
pp. 14-19 ◽  
Author(s):  
Jamie West ◽  
Jennifer Atherton ◽  
Seán J Costelloe ◽  
Ghazaleh Pourmahram ◽  
Adam Stretton ◽  
...  
Keyword(s):  
Patient Safety ◽  
Quality Management ◽  
Data Collection ◽  
Quality Indicators ◽  
Management Systems ◽  
Continual Improvement ◽  
Laboratory Errors ◽  
Data Collection Methods ◽  
The Impact ◽  
Collection Methods

Preanalytical errors have previously been shown to contribute a significant proportion of errors in laboratory processes and contribute to a number of patient safety risks. Accreditation against ISO 15189:2012 requires that laboratory Quality Management Systems consider the impact of preanalytical processes in areas such as the identification and control of non-conformances, continual improvement, internal audit and quality indicators. Previous studies have shown that there is a wide variation in the definition, repertoire and collection methods for preanalytical quality indicators. The International Federation of Clinical Chemistry Working Group on Laboratory Errors and Patient Safety has defined a number of quality indicators for the preanalytical stage, and the adoption of harmonized definitions will support interlaboratory comparisons and continual improvement. There are a variety of data collection methods, including audit, manual recording processes, incident reporting mechanisms and laboratory information systems. Quality management processes such as benchmarking, statistical process control, Pareto analysis and failure mode and effect analysis can be used to review data and should be incorporated into clinical governance mechanisms. In this paper, The Association for Clinical Biochemistry and Laboratory Medicine PreAnalytical Specialist Interest Group review the various data collection methods available. Our recommendation is the use of the laboratory information management systems as a recording mechanism for preanalytical errors as this provides the easiest and most standardized mechanism of data capture.

scholarly journals Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review (Preprint)

2017 ◽  
Author(s):  
Claire McCallum ◽  
John Rooksby ◽  
Cindy M Gray
Keyword(s):  
Physical Activity ◽  
Data Collection ◽  
Repeated Measures ◽  
Single Case ◽  
Optimization Strategy ◽  
Health Technologies ◽  
Data Collection Methods ◽  
Research Designs ◽  
The Impact ◽  
Collection Methods

BACKGROUND Although many smartphone apps and wearables have been designed to improve physical activity, their rapidly evolving nature and complexity present challenges for evaluating their impact. Traditional methodologies, such as randomized controlled trials (RCTs), can be slow. To keep pace with rapid technological development, evaluations of mobile health technologies must be efficient. Rapid alternative research designs have been proposed, and efficient in-app data collection methods, including in-device sensors and device-generated logs, are available. Along with effectiveness, it is important to measure engagement (ie, users’ interaction and usage behavior) and acceptability (ie, users’ subjective perceptions and experiences) to help explain how and why apps and wearables work. OBJECTIVES This study aimed to (1) explore the extent to which evaluations of physical activity apps and wearables: employ rapid research designs; assess engagement, acceptability, as well as effectiveness; use efficient data collection methods; and (2) describe which dimensions of engagement and acceptability are assessed. METHOD An interdisciplinary scoping review using 8 databases from health and computing sciences. Included studies measured physical activity, and evaluated physical activity apps or wearables that provided sensor-based feedback. Results were analyzed using descriptive numerical summaries, chi-square testing, and qualitative thematic analysis. RESULTS A total of 1829 abstracts were screened, and 858 articles read in full. Of 111 included studies, 61 (55.0%) were published between 2015 and 2017. Most (55.0%, 61/111) were RCTs, and only 2 studies (1.8%) used rapid research designs: 1 single-case design and 1 multiphase optimization strategy. Other research designs included 23 (22.5%) repeated measures designs, 11 (9.9%) nonrandomized group designs, 10 (9.0%) case studies, and 4 (3.6%) observational studies. Less than one-third of the studies (32.0%, 35/111) investigated effectiveness, engagement, and acceptability together. To measure physical activity, most studies (90.1%, 101/111) employed sensors (either in-device [67.6%, 75/111] or external [23.4%, 26/111]). RCTs were more likely to employ external sensors (accelerometers: P=.005). Studies that assessed engagement (52.3%, 58/111) mostly used device-generated logs (91%, 53/58) to measure the frequency, depth, and length of engagement. Studies that assessed acceptability (57.7%, 64/111) most often used questionnaires (64%, 42/64) and/or qualitative methods (53%, 34/64) to explore appreciation, perceived effectiveness and usefulness, satisfaction, intention to continue use, and social acceptability. Some studies (14.4%, 16/111) assessed dimensions more closely related to usability (ie, burden of sensor wear and use, interface complexity, and perceived technical performance). CONCLUSIONS The rapid increase of research into the impact of physical activity apps and wearables means that evaluation guidelines are urgently needed to promote efficiency through the use of rapid research designs, in-device sensors and user-logs to assess effectiveness, engagement, and acceptability. Screening articles was time-consuming because reporting across health and computing sciences lacked standardization. Reporting guidelines are therefore needed to facilitate the synthesis of evidence across disciplines.

Time and Accuracy Measures for Alternative Multidimensional Scaling Data Collection Methods

1975 ◽  
Vol 12 (2) ◽  
pp. 165-170 ◽  
Author(s):  
Walter A. Henry ◽  
Robert V. Stumpf
Keyword(s):  
Data Collection ◽  
Empirical Study ◽  
Multidimensional Scaling ◽  
Response Time ◽  
Response Accuracy ◽  
Data Collection Methods ◽  
Set Size ◽  
Accuracy Measures ◽  
The Impact ◽  
Collection Methods

The impact of stimulus set size and data collection methods on response accuracy and response time were investigated in an empirical study. Anchor Point collection techniques proved superior in reducing respondent time with no sacrifice in accuracy.

scholarly journals Unintended consequences: a qualitative study exploring the impact of collecting implementation process data with phone interviews on implementation activities

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Inga Gruß ◽  
Arwen Bunce ◽  
James Davis ◽  
Rachel Gold
Keyword(s):  
Data Collection ◽  
Qualitative Data ◽  
Implementation Process ◽  
Process Data ◽  
Data Collection Methods ◽  
Implementation Processes ◽  
The Impact ◽  
Collection Methods ◽  
Qualitative Data Collection

Abstract Background Qualitative data are crucial for capturing implementation processes, and thus necessary for understanding implementation trial outcomes. Typical methods for capturing such data include observations, focus groups, and interviews. Yet little consideration has been given to how such methods create interactions between researchers and study participants, which may affect participants’ engagement, and thus implementation activities and study outcomes. In the context of a clinical trial, we assessed whether and how ongoing telephone check-ins to collect data about implementation activities impacted the quality of collected data, and participants’ engagement in study activities. Methods Researchers conducted regular phone check-ins with clinic staff serving as implementers in an implementation study. Approximately 1 year into this trial, 19 of these study implementers were queried about the impact of these calls on study engagement and implementation activities. The two researchers who collected implementation process data through phone check-ins with the study implementers were also interviewed about their perceptions of the impact of the check-ins. Results Study implementers’ assessment of the check-ins’ impact fell into three categories: (1) the check-ins had no effect on implementation activities, (2) the check-ins served as a reminder about study participation (without relating a clear impact on implementation activities), and (3) the check-ins caused changes in implementation activities. The researchers similarly perceived that the phone check-ins served as reminders and encouraged some implementers’ engagement in implementation activities; their ongoing nature also created personal connections with study implementers that may have impacted implementation activities. Among some study implementers, anticipation of the check-in calls also improved their ability to recount implementation activities and positively affected quality of the data collected. Conclusion These results illustrate the potential impact of qualitative data collection on implementation activities during implementation science trials. Mitigating such effects may prove challenging, but acknowledging these consequences—or even embracing them, perhaps by designing data collection methods as implementation strategies—could enhance scientific rigor. This work is presented to stimulate debate about the complexities involved in capturing data on implementation processes using common qualitative data collection methods. Trial registration ClinicalTrials.gov, NCT02325531. Registered 15 December 2014.

Evaluating Early Intervention Programs: One Model's Process and Products

2000 ◽  
Vol 25 (3) ◽  
pp. 26-31
Author(s):  
Moira A. Fallon
Keyword(s):  
Program Evaluation ◽  
Early Intervention ◽  
Data Collection ◽  
Quantitative Information ◽  
Program Improvement ◽  
Intervention Programs ◽  
Staff Satisfaction ◽  
Qualitative And Quantitative ◽  
Data Collection Methods ◽  
Collection Methods

The purpose of this article is to present one model's approach to program evaluation of early intervention programs. The model presented requires implementation by a trained program evaluator and utilises clear and simple data collection methods. The model is based on measures of parental and staff satisfaction resulting in qualitative and quantitative information. Such flexible and accurate measures are necessary for stakeholders to use in making practical policy decisions for program improvement.

scholarly journals Analisis Pendengar Kajian Islam Mutiara Pagi RRI Purwokerto

2018 ◽  
Vol 12 (2) ◽  
Author(s):  
Sulkhan Chakim ◽  
Hanif Fahridads
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Mass Media ◽  
Group Discussion ◽  
Data Collection Methods ◽  
Media Messages ◽  
The Earth ◽  
Depth Interview ◽  
The Media ◽  
Collection Methods

This article examines Islamic material or message broadcast by Radio Republik Indonesia (RRI) through “Mutiara Pagi” program which is focused on reception of listeners in Banyumas Regency. The mass media is not only a tool for disseminating information in all parts of the earth, but also a tool for organizing the agenda, as well as telling people what is important and not. Audience is not merely passive but seen as a cultural agent which has its own power in terms of generating meaning from various discourses offered by the media. The meaning of the media can be open or polysemic and can even be responded by the opposition by the audience. This review contributes to strengthening and developing locally-based broadcasting content. The focus of this study is how reception of Radio Program listeners 'mutiara pagi'. Data collection methods used are forum group discussion (FGD), in-depth interview to get data. While the data analysis is used by analysis of reception. The findings of this study reinforce morley's opinion that explains the three positions related to the meaning of audiences against media messages. These three positions include dominant positions that illustrate that viewers accept, while the negotiable position illustrates that the viewers partly accept partially reject or even criticize the message of “mutiara pagi” program. The audience is partially opposed or refused altogether.

scholarly journals Data Collection Methods on Learning Outcome, Student Achievement and Academic Achievement

2017 ◽  
Vol 7 (2) ◽  
pp. 164
Author(s):  
Utami Puji Lestari ◽  
David Firna Setiawan
Keyword(s):  
Academic Achievement ◽  
Student Achievement ◽  
Data Collection ◽  
Literature Review ◽  
Group Discussion ◽  
Learning Outcome ◽  
Research Data ◽  
Data Collection Methods ◽  
Perception Survey ◽  
Collection Methods

Learning outcome, student achievement and academic achievement are some of the variables that get a lot of attention in educational research. Nevertheless, from several national studies collected there are inconsistencies in particular with regard to English terminology as well as inconsistencies in methods and instruments of data collection. Therefore, this study aims to explain the different methods of data collection research on learning outcome, achievement learning, and academic achievement. This study is a study desk study using literature review to explain the different methods of data collection on learning outcome, student achievement, and academic achievement. Based on the results of research can be concluded that the method of data collection of learning outcome, can be done through three ways, namely, perception survey, interview, and forum group discussion (FGD). While the instruments that can be used to collect data learning results are questionnaires, interview guides and minutes. Methods of collecting research data about student achievement, can be done through two ways namely, (1) test and (2) non test. Data collection methods of academic achievement can be done through documentation.

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