Suchergebnisse

General Elections are the embodiments of the mandate stipulated in the 1945 Constitution of the Republic of Indonesia Article 1 paragraph (2) which affirms that "sovereignty is in the hands of the people and carried out according to the Constitution". The Formulation Document that will be formulated in the research are: (1) What is the violation in the general election? And (2) What is law enforcement in general election. The method used in this study is normative legal research, normative legal research methods or library law research methods are methods or procedures that are used in legal research by examining existing library material. Election violations constitute acts prohibited by the Election Law against election organizers resulting in the imposition of sanctions for violations. The enactment of Law Number 7 Year 2017 on General Elections provides for different types of violations, disputes, criminal offenses and electoral disputes. The crime of elections is a criminal offense punishable by a particular punishment based on the criminal justice system. The purpose of election is to carry out popular sovereignty and the realization of the political rights of the people to produce leaders who will occupy important positions in the government.

Description based on: 1981 session; title from cover. ; Mode of access: Internet.

Although the Storting election of 11 September 2017 reduced the number of seats backing the incumbent conservative government, it still gave the two governing parties and their supporting centre-right parties a parliamentary majority. Thus, Prime Minister Solberg's premiership will continue after the election. In the previous period, the government could secure a parliamentary majority with either of the two centrist parties; the Liberal Party or the Christian Democrats. After the 2017 election, they will need the support of both parties to secure a majority, unless they can get help from one or more of the centre-left opposition parties. When Solberg formed her government back in 2013, the populist right-wing Progress Party entered government for the first time. Even Progress Party leaders feared that they would lose support from anti-establishment voters. Poor turnout at the 2015 local election did not bode well. However, the Progress Party did far better in the 2017 national elections and lost only 1.1 percentage points and two seats compared with the 2013 election. A major success factor for the Progress Party was the attention given to immigration issues during the election campaign (see below). At the previous election, in 2013, the Green Party won a seat for the first time, increasing the number of parties in parliament from seven to eight. In 2017, the far-left Red Party increased the number of parties from eight to nine. Despite the re-election of the incumbent government, the election signalled a shift to the left, even to the left of the Labour Party.

General elections are held every five years in South Africa. During the 12 to 24 hour period after the close of the voting booths, the expected final results are of huge interest to the electorate and politicians. In the past, the Council for Scientic and Industrial Research (CSIR) has developed an election forecasting model in order to provide the media and political analysts with forecasts of the final results during this period of peak interest. In formulating this model, which forecasts the election results as the results from voting districts (VDs) become available, some assumptions had to be made. In particular, assumptions were made about the clustering of previous voting patterns as well as the order in which VD results are released.This election forecasting model had been used successfully for a number of elections in the past and in these previous elections, with around 5%{10% of the results available, the predictions produced by the model were very close to the final outcome, particularly for the ANC, being the largest party. For the 2014 national election, however, the predictions, with close to 50% of the voting district results known (equivalent to an estimated 40% of the total votes), were still not accurate and varied by more than 1% for both the ANC and the EFF. This paper outlines a post-election analysis to determine the reasons for these discrepancies and how they relate directly to the model assumptions. The aim is to highlight how practical realities can affect the assumptions and consequently their impact on the forecasted results. Reference is made to previous election forecasts and the 2014 post-election analysis is presented.Keywords: Forecasting, elections, assumptions, post-election analysis

With the intention of assisting legislators, election officials and the public to make sense of recent literature on post-election audits and convert it into realistic audit practices, the Brennan Center and the Samuelson Law, Technology and Public Policy Clinic at Boalt Hall School of Law (University of California Berkeley) convened a blue ribbon panel (the "Audit Panel") of statisticians, voting experts, computer scientists and several of the nation's leading election officials. Following a review of the literature and extensive consultation with the Audit Panel, the Brennan Center and the Samuelson Clinic make several practical recommendations for improving post-election audits, regardless of the audit method that a jurisdiction ultimately decides to adopt.

This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.

This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.

This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.

This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.

This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.

This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.

This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.

Includes legislation. ; At head of title: The Michigan Constitutional Convention: 1961-62. ; Mode of access: Internet.

This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.

This data was collected by St. Louis County Board of Elections. It is part of a larger collection (Historical St. Louis County Elections), organized by municipality. Faculty in the Department of Political Science at Washington University in St. Louis, Dr Brian Crisp and Dr. Matt Gabel, digitized the materials at Washington University in St. Louis and agreed with St. Louis County to have the digital copies deposited in the Open Scholarship Digital Research Materials Repository at Washington University to make it more widely accessible.