What happens without population data? – The case of Ukraine

According to the recommendation of the United Nations, national censuses should be taken at least every 10 years, and countries across Africa, Asia, the Americas and Europe are usually fairly disciplined in following this instruction. True, some European countries, including Denmark, Finland, the Netherlands or Iceland have in the last 30 years replaced traditional census enumerations with maintaining precise administrative registers, Ukraine however, is not one of these countries. With its last census carried out in 2001, the largest entirely European country is similar in this regard to countries such as Uzbekistan, Iraq or Sri Lanka. Because there is no reliable source of population data in Ukraine, estimations from different organizations and individuals vary considerably. In 2019 the UN estimates Ukraine’s population to be 43.8 M (the 2001 census result was 48.7 M), while according to the State Statistics Service of Ukraine (Grosstat), the number is 42.1 M (1.7 Million difference). The picture gets more complicated when we look at non-official estimates by politicians, non-governmental organizations, foreign press and further, otherwise serious sources: calculations that consider the proto-states of the Donbass region and Crimea to be part of Ukraine get results of 30-35 M people, while without these regions, Ukraine’s population is calculated to be somewhere between 20-26 million. Looking at these numbers the only apparent conclusion one can arrive at is the incredible degree of uncertainty. In a country where most families are in one way or another affected by permanent emigration, forced migration due to the war, seasonal work migration and the emigration of military-age men to avoid getting drafted, the population changes quickly. In my poster presentation I aim to showcase a number of different “creative” methods that official institutions in Ukraine use to get a picture of the actual population of the country and its regions, focusing mainly in Transcarpathia. These resourceful but often highly unreliable calculations include measuring bread consumption regionally and keeping count of the active mobile service users.

Analisis Isi Berita Pembangunan Periklanan dan Kelautan pada Surat Kabar Kaltim Post

The objectives of this research were to explain the characteristic of the newspaper’s profile of fishery and marine development, to compare the objectiveity of the reports based on the result of censuses of fishery and marine science and mass media experts’ opinions, to study the policy of news on fishery and marine development on Kaltim Post newspaper editorial staff. The respondents were chosen by using purposive sampling method and were supported by disproportional stratifed random sampling method for news sample clipped for evaluation from the panelist expert team. The data obtained was then analyszed by using content analysist method. The research findings show that the subject matter proportion frequency and volume are mainly dominated with news on marketing and the type of writing is dominated with news, it is also dominated with positive tendencies and non-headlines. The panelist expert team and the mass media expert gave much kind of opinion to the news. Based on the census result, the news is presented enough objectively. The reseacrh findings show that news on fishery and marine development is still considered as a minor discourse by Kaltim Post.

Analisis Pengaruh Kompetensi Bawahan Dan Gaya Kepemimpinan Terhadap Efektivitas Organisasi

This research analyzed some problems, such as: influence of the subordinate competence (X1) and leadership style (X2) toward effectiveness of the organization (Y). Hypothesis of this research is, first, it is presumed that both subordinate competence and leadership style have simultaneously significant influence toward effectiveness of the organization. Second, it is presumed that leadership style has dominant influence toward effectiveness of the organization. Data analysis technique uses multiple regressions. Technique of the sample collecting uses census. Result of the multiple linear regression analysis shows that variables of subordinate competence and leadership style have significant influence toward effectiveness of the organization, therefore, the first hypothesis is accepted. The test result of the regression coefficient value resulted by each independent variable shows that independent variable of leadership style (0.427) has the highest value for the regression coefficient in comparison with the independent variable for the subordinate competence (0.288). The comparison result of the regression coefficient values resulted by each independent variable shows that the second hypothesis is accepted.