scholarly journals Households’ Population Data Disaggregation: A Financial Perspective

2021 ◽  
Vol 9 ◽  
pp. 1-10
Author(s):  
Oluwatosin Juliana Oyetayo ◽  
◽  
Ebenezer Adesoji Olubiyi ◽  
Mathew Adekunle Abioro
Keyword(s):  
Population Data ◽  
Financial Perspective ◽  
Data Disaggregation

Data Disaggregation with American Indian/Alaska Native Population Data

2021 ◽  
Vol 40 (1) ◽  
pp. 103-125
Author(s):  
Tara Becker ◽  
Susan H. Babey ◽  
Rashida Dorsey ◽  
Ninez A. Ponce
Keyword(s):  
American Indian ◽  
Alaska Native ◽  
Population Data ◽  
Native Population ◽  
Data Disaggregation

scholarly journals Land Use Drivers of Population Dynamics in Tasks of Security Management and Risk Assessment

2016 ◽  
Vol 1 (1) ◽  
pp. 18-25 ◽  
Author(s):  
Ivan Kopachevsky ◽  
Yuriy V. Kostyuchenko ◽  
Otto Stoyka
Keyword(s):  
Risk Assessment ◽  
Land Use ◽  
Urban Areas ◽  
Population Distribution ◽  
Population Data ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Data Disaggregation ◽  
Population Vulnerability ◽  
Use Factors

Approach to population data disaggregation in tasks of risk assessment is presented in this paper. The approach is based on analysis of land cover distribution separately in rural and urban areas. Model to analyze a population distribution on regular grid in a study area is proposed. Formal algorithms to estimate disaster losses distributions depending on population distribution, agroecological, socio-economic, and socio-ecological parameters are proposed. Concluding on population vulnerability and losses distribution in depending of land-use factors are proposed.

Analisis Pengukuran Kinerja Perusahaan Dengan Konsep Balanced Scorecard

2016 ◽  
Vol 3 (1) ◽  
pp. 11-22
Author(s):  
Dina Fitrianingrum ◽  
Sulastiningsih Sulastiningsih
Keyword(s):  
Customer Satisfaction ◽  
Organizational Development ◽  
Business Process ◽  
Balanced Scorecard ◽  
Research Use ◽  
Financial Perspective ◽  
Employees Satisfaction ◽  
Customer Perspective ◽  
Process Perspective ◽  
Internal Business Process

The objective of the research is to evaluate performance of Madubaru firm. This research use the methode of Balanced Scorecard which balancing measurement of non finance performance and finance performance. In the perspective learning and growth emphasize on the education and employees training, and also employees satisfaction. In the perspective of internal business process, it emphasize at the the level of success and organizational development. In perspective of customer emphasize at the customer satisfaction. In perspective of finance can see from finance ratio. The research have result learning and growth perspective with good performance, internal business process perspective with very good performance, customer perspective with enough performance, financial perspective estimation with good performance. At general we can assesd performanced of Madubaru firm is good and expected to be improved again. Keyword : Balanced Scorecard, Learning and Growth Perspective, Internal Business Process Perspective, Customer Perspective, Financial Perspective.

Tingkat Pemahaman Kompetensi Guru Pada Mahasiswa Pendidikan Geografi Sebagai Calon Guru Geografi

2020 ◽  
Vol 21 (1) ◽  
pp. 102-117
Author(s):  
Novia Zalmita ◽  
Muhajirah Muhajirah ◽  
Abdul Wahab Abdi
Keyword(s):  
Prospective Teachers ◽  
Prospective Teacher ◽  
Quantitative Description ◽  
Population Data ◽  
Geography Education ◽  
Teacher Competence ◽  
Education Department ◽  
Long Time

One that influences human resource indicators is education. The teacher is a profession as a job of academic specialization in a relatively long time in college. Understanding related to teacher competence is very important to have by a prospective teacher because it can affect the quality of performance as a professional teacher. The teacher's competence is known as pedagogic, professional, social and personality competencies. The issue in this study is how the competency of the teacher of the Department of Geography Education FKIP Unsyiah as a prospective teacher of geography? The purpose of this study was to determine the competence of teachers in the Department of Geography Education FKIP Unsyiah as prospective geography teachers. Quantitative description approach is used in this study to find answers to the issue. The population in this study were students of the Department of Geography Education FKIP Unsyiah class of 2015 and 2016 who had been declared to have passed the Micro Teaching and Magang Kependidikan 3 course totaling 50 people. Because the population is small and can be reached, the determination of the sample using total sampling techniques so that the sample in this study is the whole population. Data collection is done by distributing test questions to respondents. The data was analyzed using the descriptive statistics percentage formula. The results of the study indicate that the level of teacher competence of Geography Education Department students as prospective teachers is in the moderate category, namely as many as 22 respondents (44%). A total of 12 respondents (24%) were in the high category, 15 respondents (30%) were in the low category and 1 respondent (2%) were in the very low category.

Türkiye'de iller arası göçlerin nodexl ile sosyal ağ analizi

2017 ◽  
Vol 4 (1) ◽  
pp. 82-109 ◽  
Author(s):  
Mustafa Yakar ◽  
Fatma Sert Eteman
Keyword(s):  
Network Structure ◽  
Population Data ◽  
Single Mode ◽  
Turkish Population ◽  
Place Of Birth ◽  
Place Of Residence ◽  
Migration Flow ◽  
Population Structures ◽  
The Republic ◽  
Provincial Scale

Türkiye'de 20.yy'ın ortasından itibaren başlayan iç göçler zamanla kurulan göçmen ağları ile süreklilik kazanmış ve ülke içinde nüfusun kır-kent dağılımını değiştirecek boyutlara erişmiştir. Araştırma, göçün doğum yeri verisinden hareketle ikamet edilen yerdeki nüfus miktarına göre alınan ve verilen göç akışının büyüklüğünü iller ölçeğinde yönlü ağlar kullanılarak analiz edilmesini amaçlamaktadır. Araştırmada, TÜİK tarafından yayınlanmış olan 2015 yılına ait, iller ölçeğinde doğum yerine göre ikamet yeri verisi kullanılmıştır. Göçün kaynak ve hedef sahaları arasındaki akışını incelemek için NodeXL ile oluşturulan tek modlu, yönlü ve ağırlıklandırılmış göç ağının istatistiksel olarak tam ağ yapısına sahip olduğu görülmüştür. Ağ grafiklerinden ve istatistiklerinden göç hareketinin doğudan batıya doğru gerçekleştiği ve İstanbul’ un ülkenin tamamına hâkim bir görünüme sahip olduğu anlaşılmaktadır. Türkiye nüfusunun cumhuriyet tarihi içinde geçirdiği iç göç süreçleriyle birlikte ülke içinde kurulmuş ve oldukça karmaşık bir görünüme sahip ağ yapısının olduğu ileri sürülebilir. Kurulan ağlar göçlerin devamını sağladığı gibi, göçün yöneldiği merkezlerde daha heterojen nüfus yapılarının ortaya çıkmasına yol açmıştır.ABSTRACT IN ENGLISHSocial Network Analysis of Migration Inter Provinces In Turkey with Nodexl The internal migrations which started in Turkey in the middle of the 20th century have gained permanency with the migration networks that were established at the time and reached dimensions which have the potential to change the rural-urban distribution of the population within the country.  The study aims to analyze the magnitude of the incoming and outgoing migration flow at the provincial scale based on the population data for place of birth according to place of residence by using directional networks. Place of residence according to place of birth at the provincial scale data for 2015 published by TÜİK was used in the study. A single mode, directional and weighted migration network created with NodeXL to examine the migration flows between the source and target has a statistically complete network structure. The network graphs and statistics show that the migrations have taken place from east to west and Istanbul has a view as dominant of the country. It can be argued that internal network structure of Turkish population has  a very complex view because of internal migration in the history of the republic. The established networks have enabled the continuation of migration and have manifested as the emergence of more heterogeneous population structures in centers where migration had been directed.

PENENTUAN DAERAH PRIORITAS PELAYANAN AKTA KELAHIRAN DENGAN METODE K-NN DAN K-MEANS

2020 ◽  
Vol 17 (1) ◽  
pp. 319-328
Author(s):  
Ade Muchlis Maulana Anwar ◽  
Prihastuti Harsani ◽  
Aries Maesya
Keyword(s):  
Nearest Neighbor ◽  
Information Gain ◽  
Birth Certificate ◽  
Population Data ◽  
Community Services ◽  
Birth Certificates ◽  
Similar Data ◽  
K Nearest Neighbor ◽  
Civil Registration ◽  
The Family

Population Data is individual data or aggregate data that is structured as a result of Population Registration and Civil Registration activities. Birth Certificate is a Civil Registration Deed as a result of recording the birth event of a baby whose birth is reported to be registered on the Family Card and given a Population Identification Number (NIK) as a basis for obtaining other community services. From the total number of integrated birth certificate reporting for the 2018 Population Administration Information System (SIAK) totaling 570,637 there were 503,946 reported late and only 66,691 were reported publicly. Clustering is a method used to classify data that is similar to others in one group or similar data to other groups. K-Nearest Neighbor is a method for classifying objects based on learning data that is the closest distance to the test data. k-means is a method used to divide a number of objects into groups based on existing categories by looking at the midpoint. In data mining preprocesses, data is cleaned by filling in the blank data with the most dominating data, and selecting attributes using the information gain method. Based on the k-nearest neighbor method to predict delays in reporting and the k-means method to classify priority areas of service with 10,000 birth certificate data on birth certificates in 2019 that have good enough performance to produce predictions with an accuracy of 74.00% and with K = 2 on k-means produces a index davies bouldin of 1,179.

Faktor yang Berhubungan dengan Penggunaan Partograf dalam Persalinan oleh Bidan Praktik Mandiri

2020 ◽  
Vol 2 (2) ◽  
pp. 72-80
Author(s):  
Niluh Nita Silfia
Keyword(s):  
Total Population ◽  
Sampling Technique ◽  
Population Data ◽  
Statistical Test ◽  
Influential Factor ◽  
Test Results ◽  
Cross Sectional ◽  
Factors Associated ◽  
Survey Results ◽  
Research Criteria

Partographs are guidelines for childbirth observations that will facilitate labor assistants in first identifying emergency cases and complications for mothers and fetuses. Preliminary survey at the Sigi Community Health Sub-Center (Pustu) of the 8 Pustu midwives found two midwives (25%) to complete a complete partograph, six midwives (75%) incomplete. The purpose of this study was to determine the determinant factors associated with the use of partographs in labor. The design of this study used observational analytic methods with a cross-sectional approach. 24 BPM survey results were obtained with 30 samples of midwives who met the research criteria and data completeness. The sampling technique was by the total population. Data analysis used logistic regression. The multivariate analysis results showed that APN training was the most influential factor in the use of partographs in labor by midwives. Statistical test results obtained a POR value of 37.7 (95% CI 12.1 - 60.2). This study suggests that midwives must have APN certificates to be valid in providing services.

Count Me In!: Ethnic Data Disaggregation Advocacy, Racial Mattering, and Lessons for Racial Justice Coalitions

JCSCORE ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 91-124
Author(s):  
OiYan A. Poon ◽  
Jude Paul Matias Dizon ◽  
Dian Squire
Keyword(s):  
Asian American ◽  
People Of Color ◽  
Racial Justice ◽  
Racial Equity ◽  
Equity In Education ◽  
Case Study Analysis ◽  
Data Disaggregation ◽  
Racial Solidarity ◽  
The University

This article presents a case study of the 2006-2007 Asian American and Pacific Islander (AAPI) student-led Count Me In! (CMI) campaign. This successful campaign convinced the University of California (UC) to account for 23 AAPI ethnic identities in its data system. Celebrated as a victory for AAPI interests in discourses over racial equity in education, which are often defined by a Black- white racial paradigm, CMI should also be remembered as originating out of efforts to demonstrate AAPI solidarity with Black students and to counter racial wedge politics. In the evolution of the CMI campaign, efforts for cross-racial solidarity soon faded as the desire for institutional validation of AAPI educational struggles was centered. Our case study analysis, guided by sociological frameworks of racism, revealed key limitations in the CMI campaign related to the intricate relations between people of color advocating for racial justice. We conclude with cautions for research and campaigns for ethnically disaggregated AAPI data, and encourage advocates and scholars to address AAPI concerns over educational disparities while simultaneously and intentionally building coalitions for racial equity in higher education.

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