STRATEGI KOMUNIKASI POLITIK TIM PEMENANGAN FACHRORI-SYAFRIL PADA PILKADA 2020 DI PROVINSI JAMBI

This study aims to determine the political communication strategy of the winning team, the strengths and weaknesses as well as the causes of the low vote acquisition of Fachrori-Syafril in the 2020 simultaneous regional elections in Jambi Province. The method used in this study is a qualitative research method which emphasizes the in-depth aspects of a problem. The results of this study indicate that the political communication strategy used by the Fachrori-Syafril winning team still has problems and obstacles that cause the low vote acquisition for candidate pair number 02 Fachrori-Syafril in the 2020 Simultaneous Regional Head Elections in Jambi Province. This is due to limited campaign factors, new people in the political realm, candidate management does not work and the disappointment factor from the community.

Politisasi Agama pada Kampanye Pemenangan Eramas dalam Pilkada Sumatera Utara Tahun 2018

This paper aims to find out the process of politicizing religion carried out by the winning team for the Eramas candidate pair in the 2018 North Sumatra election campaign. The problem in this study aims at the purpose of this research is to see the process of politicizing religion and what patterns are contained in the politicization of religion during the 2018 North Sumatra election campaign. This research uses descriptive and qualitative methods, which focus on focusing on actual and reliable phenomena during the research period. The findings of this study are, the process of politicizing religion carried out by the Eramas winning team by approaching various Islamic religious leaders, carrying out major activities such as remembrance akbar in the Benteng Medan field by inviting famous clerics, running a mobile car program to clean mosques, to politicizing religion. in the Eramas Campaign which was proven by the use of the issue of "not electing infidel leaders" and carrying out the morning congregational movement in the mosque related to Muslims. This study aims to analyze the process of politicizing religion carried out by the winning team for the Eramas pair in the 2018 North Sumatra election campaign, both in the form of politicizing their religion and the responses of related parties in responding to the politicization of religious candidates.

Data Science Meets High-Tech Manufacturing – The BTW 2021 Data Science Challenge

For its third installment, the Data Science Challenge of the 19th symposium “Database Systems for Business, Technology and Web” (BTW) of the Gesellschaft für Informatik (GI) tackled the problem of predictive energy management in large production facilities. For the first time, this year’s challenge was organized as a cooperation between Technische Universität Dresden, GlobalFoundries, and ScaDS.AI Dresden/Leipzig. The Challenge’s participants were given real-world production and energy data from the semiconductor manufacturer GlobalFoundries and had to solve the problem of predicting the energy consumption for production equipment. The usage of real-world data gave the participants a hands-on experience of challenges in Big Data integration and analysis. After a leaderboard-based preselection round, the accepted participants presented their approach to an expert jury and audience in a hybrid format. In this article, we give an overview of the main points of the Data Science Challenge, like organization and problem description. Additionally, the winning team presents its solution.

Clientelism Politics of Muslim Politician Who Became People’s Representatives

People’s representatives are elected through general elections to represent the people fighting for the people's interests and aspirations. However, in practice, muslim politician who became people's representatives often represent themselves and their groups rather than represent those who have chosen them. This research was conducted to reveal how muslim politician who became people's representatives' actions the correlation between clientelism politics in managing the budget function. This descriptive qualitative research method collects data through direct observation in the field and in-depth interviews with various informants related to the research. The theory used in this research is political clientelism theory. From the research results, muslim politician who became people's representatives fight for the community's aspirations to escort a grant program to community groups, social assistance, and empowerment. The program is directly related to the winning team and supporters of voters in the previous elections. The program is intended to maintain the people's voting base and the granary in the next election. This is how the people's representative uses the parliament's existence and potential for electoral interests.

Why Change a Winning Team? Explaining Post-Election Cabinet Reshuffles in Four Westminster Democracies

Incumbent prime ministers who win re-election often reshuffle their cabinet ministers. These post-election cabinet reshuffles have important implications for policymaking and present a puzzle: why would prime ministers alter the ‘winning team’ that has just received an electoral mandate? Existing literature has largely overlooked post-election reshuffles, so offers few compelling answers. At most, a plausible but under-theorised and untested conventional wisdom suggests that electoral success increases prime ministers’ authority over their ministers. This article thus provides the first systematic study of post-election cabinet reshuffles in single-party governments. It argues that re-elected prime ministers use a temporary increase in their authority to pre-empt future leadership challenges by moving or sacking cabinet rivals. Larger election victories should thus produce larger reshuffles. However, analysis of post-election cabinet reshuffles in four ‘Westminster’ democracies since 1945 shows no support for this expectation, suggesting that further work is needed to understand these important political events.

Leadership and Effective Human Resource Management in Organization

Outstanding leaders combine good strategic substance and effective interpersonal processes to formulate and implement strategies that produce results and sustainable competitive advantage. In todays competitive business environment, the defining success factor is essentially leadership with the potential of transforming its employees into a willing and winning team with the appropriate synergy to actualize collectively determined corporate missions and aspirations. The contemporary dynamics in the operating environment of business calls for leadership orientations which recognize that employees have emotional dividends to satisfy at workplace and should, thus, be managed in such a way that they are always able and willing to achieve enhanced performances. It is against this backdrop that this paper underscores the indispensability of leadership in the dayto-day dynamics of the organization and suggests a ramifying range of leadership styles that potentially conduce to optimal human resources management and performance. This paper utilized the methods of qualitative and syntheses of scientific literature as it relies on secondary data collected from books and journal articles, and were content analyzed in relation to the scope of the paper. Finally, the paper concludes that leadership synergizes the human resource and ensures that they continuously create value for the various stakeholders in the organization.

PSL Eye: Predicting the Winning Team in Pakistan Super League (PSL) Matches

Pakistan Super League (PSL) is a well-known T20 cricket league with millions of viewers. With this large viewer base, predicting the outcome of PSL matches opens a new research avenue for academic researchers. In this paper, we collect PSL data from relevant sources and generate a validated data set for machine learning experiments. We implement the “PSL Eye” solution which employs Neural Networks (NNs) to predict the match winning team. We preprocess the dataset to eliminate the extra variables then we tune the hyper parameters of NN. After acquiring the optimal values of hyper parameters, we run our NN based PSL Eye to obtain the final results. The overall accuracy of PSL-Eye with testing data set is 82% which is very promising and shows the importance of NN in predicting PSL match outcome.