Yusuf, Yusuf
Jurusan Manajemen, Fakultas Ekonomi, Universitas Terbuka Pangkalpinang, Indonesia

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

The Influence of Competence, Motivation, Facilities and Infrastructure, and Leadership Style on Performance and Their Implications for Work Achievement Yusuf Yusuf
Equity: Jurnal Ekonomi Vol 12 No 2 (2024): Equity : Jurnal Ekonomi
Publisher : Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/equity.v12i2.340

Abstract

Improving employee performance requires a good strategy, starting with enhancing elements of competence, motivation, adequate facilities and infrastructure support, and a good leadership style, which can improve employee performance and ultimately lead to increased employee achievement, thereby achieving organizational goals. The purpose of this research is to understand the overview of competence, motivation, facilities and infrastructure, leadership style, performance, and work achievement, as well as to determine the influence of competence, motivation, facilities and infrastructure, and leadership style on performance and their implications for work achievement. The subjects of this research are the Civil Servants of the Ministry of Religious Affairs Office of the Bangka Belitung Islands Province. The research method uses a descriptive and verification approach with descriptive survey and explanatory survey methods. The sample consists of 91 people, using primary data. Path analysis techniques are employed. The results of the research show that: (1) All variables have high average values, ranging from 4.11 to 4.37. The performance variable has the highest average at 4.37, and the X2 motivation variable has the highest average at 4.28. In general, competence, motivation, facilities and infrastructure, leadership style, performance, and work achievement are rated highly. Correlation test results show (R) 0.787 and the coefficient of determination of variable X on variable Y (R2) is 62%, with the remaining (E) 38%, and for variable Y on variable Z (R2) 85.2%, with the remaining 14.8% influenced by other factors not examined. (2) Simultaneously, competence, motivation, facilities and infrastructure, and leadership style significantly influence performance (35.049 > 2.477). (3) Partially, there is a significant influence of competence (-2.370 > -1.986), motivation (6.053 > 1.986), and leadership style (3.644 > 1.986) on performance, while there is no influence of facilities and infrastructure on performance (1.002 < 1.986). (4) There is a significant influence of performance on work achievement (22.591 > 1.986).
Political Marketing Mix in the Decision to Choose Pangkalpinang Mayoral Election 2024 Yusuf Yusuf
Equity: Jurnal Ekonomi Vol 13 No 1 (2025): Equity : Jurnal Ekonomi
Publisher : Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/equity.v13i1.393

Abstract

Political marketing does not mean how to sell political parties or candidate pairs that are being promoted to voters, but something that focuses on how political parties or candidate pairs can create work programs related to current problems. The sustainability of regional development within five years requires testing of political marketing of the decision to elect the Mayor and Deputy Mayor of Pangkalpinang. The population of Pangkalpinang City, which has the right to vote and is also registered on the 2024 Permanent Voters List, amounting to 161,413 people, is the focus of this study. A sample of 399 was determined using the probability sampling method with a cluster sampling technique carried out in seven sub-districts in Pangkalpinang City. Data were collected using a quantitative questionnaire as a multiple linear regression analysis tool. The independent variable is the marketing mix associated with political marketing capacity, including political products, promotions, prices, and venues. In contrast, the decision to choose is a dependent variable. Regression analysis reveals a positive correlation between political products, political promotion, political price, and political place on voter decisions. The coefficient value of political products 0.402 indicates an influence of 40.2%, political promotion 0.255 indicates an influence of 25.5%, political price 0.163 indicates an influence of 16.3%, and political place 0.468 indicates an influence of 46.8% respectively on the decision-making process. The most significant regression analysis output is 0.468 on the shift of political place of political products, political promotion, and political price. This result shows that voters want to meet directly with voters to strengthen their opinions.