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All Journal Jurnal Media Computer Science Jurnal Point Equilibrium Manajemen dan Akuntansi
Anggraini, Reren
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Computer Science & IT Economics, Econometrics & Finance

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Implementation Of Weighted Product Method In Cadre Selection At Sawah Lebar Community Health Center Bengkulu Anggraini, Reren; Sari, Herlina Latipa; Sudarsono, Aji
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8459

Abstract

Sawah Lebar Health Center Bengkulu faces challenges in selecting health cadres who have the right qualifications and abilities to support health programs in the community. Selecting the right cadres is an important factor in improving the quality of health services at the basic level. One method that can be used to assist in this selection process is the Weighted Product (WP) method. This method is used to perform objective calculations and assessments based on predetermined criteria, such as education level, work experience, communication skills, and commitment to health programs.The purpose of this study was to implement the Weighted Product method in selecting cadres at Sawah Lebar Health Center Bengkulu and to evaluate the most relevant criteria in selecting the right cadres. In addition, this study aims to test the effectiveness of the system built using the WP method in providing optimal cadre recommendations.The method used in this study is to collect data on cadre candidates, then assess each candidate based on the weight and criteria that have been determined. The results of the system test show that the use of the WP method can produce objective cadre selection, reduce subjectivity in decision making, and increase transparency in the selection process. In the system testing, this system successfully provided results that were in accordance with the expectations and priorities of the Health Center in selecting cadres.In conclusion, the application of the Weighted Product method can improve the accuracy and objectivity in selecting cadres at the Sawah Lebar Bengkulu Health Center. The system that was built has also proven effective in providing recommendations for cadres that are in accordance with the established criteria, so that it can support the success of health programs in the region.
PENGARUH JUMLAH PENDUDUK, PENDIDIKAN DAN PENGANGGURAN TERHADAP KEMISKINAN DI KOTA PADANG ANGGRAINi, Reren; Syahrial
Jurnal Point Equilibrium Manajemen dan Akuntansi Vol. 3 No. 1 (2021): Jurnal Point Equilibrium Manajemen dan Akuntansi
Publisher : Universitas Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59963/jpema.v3i1.80

Abstract

This research was conducted to determine the effect of population, education and unemployment on poverty in the city of Padang. The purpose of this study was to test partially and simultaneously the effect of population, education and unemployment on poverty in the city of Padang, using multiple linear regression analysis. The classical assumption test used is the data normality test, autocorrelation test, multicollinearity test and heteroscedasticity test, and the coefficient of determination test. Meanwhile, to test the hypothesis used the F test and t test. The analysis technique used to examine the effect of population, education and unemployment on poverty in Padang City is a regression with the help of SPSS version 16.0. The results showed that the population had a positive and significant effect on poverty as evidenced by a significance value of 0.001. The results showed that education had a negative and significant effect on poverty as evidenced by a significance value of 0.016. The results showed that unemployment had a positive and significant effect on poverty as evidenced by a significance value of 0.042. The results showed that the population, education and unemployment simultaneously had an effect on poverty in the city of Padang, which was indicated by the evidence of a significance value of 0.003. While the coefficient of determination R2 square shows the number 0.237 or 23.7%. So it can be said that 23.7% of the poverty rate is influenced by population, education and unemployment. While the remaining 76.3% is influenced by other variables not examined in this study.
Co-Authors Aji Sudarsono Herlina Latipa Sari Syahrial