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All Journal IJISTECH (International Journal Of Information System & Technology) JOURNAL OF BUSINESS AND ECONOMICS RESEARCH (JBE) IJISTECH
Syafrida Hafni Sahir
Universitas Medan Area, Medan
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Social Sciences

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Implementation of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in Recommendations for New Position in Companies Mesran M; Eka Pratiwi Sumantri; Supriyanto S; Syafrida Hafni Sahir; Nelly Khairani Daulay
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

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Abstract

This study aims to provide support to management in recommendations for promotion of employee promotions, with the aim of providing motivation to employees. The problem encountered at this time is the number of employees making it difficult for management to choose employees to recommend in promotions for promotions. In this research, the method used is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) which is a fairly good method in ranking where the best alternative is the alternative that has the closest distance to the best alternative and far from the worst alternative. From the research results, it can be concluded that the A5 alternative is the best with a value of 0.748 and can be recommended in a new position promotion at the company.
Implementation of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in Recommendations for New Position in Companies Mesran M; Eka Pratiwi Sumantri; Supriyanto S; Syafrida Hafni Sahir; Nelly Khairani Daulay
IJISTECH (International Journal of Information System and Technology) Vol 4, No 2 (2021): May
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (772.845 KB)

Abstract

This study aims to provide support to management in recommendations for promotion of employee promotions, with the aim of providing motivation to employees. The problem encountered at this time is the number of employees making it difficult for management to choose employees to recommend in promotions for promotions. In this research, the method used is Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) which is a fairly good method in ranking where the best alternative is the alternative that has the closest distance to the best alternative and far from the worst alternative. From the research results, it can be concluded that the A5 alternative is the best with a value of 0.748 and can be recommended in a new position promotion at the company.
Pengaruh E-Service Quality dan Brand Image Terhadap E-Loyalty pada Pengguna Aplikasi Shopee Kornelius Kurniaman Waruwu; Syafrida Hafni Sahir
Journal of Business and Economics Research (JBE) Vol 3 No 3 (2022): Oktober 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jbe.v3i3.2298

Abstract

The purpose of this study was to determine the effect of e-service quality and brand image on e-loyalty of Shopee application users in Kelurahan Pasar Gunungsitoli. In this study using quantitative data analysis methods. The data analysis method used is descriptive statistics and Structural Equation Model (SEM) which is processed through the smart-PLS (partial least square) program. The population of this research is all Shopee application users in Kelurahan Pasar Gunungsitoli. The sampling technique was purposive sampling, the sample size to be used was 140 respondents. From the results of data processing, it is known that the variable e-service quality (X1) has a negative effect on e-loyalty of Shopee application users in Pasar Gunungsitoli village. While Brand image (X2) brand image has a positive and significant effect on e-loyalty of Shopee application users in Pasar Gunungsitoli Village.
Co-Authors Eka Pratiwi Sumantri Kornelius Kurniaman Waruwu Mesran, Mesran Nelly Khairani Daulay Supriyanto