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All Journal Jurnal Ipteks Terapan : research of applied science and education Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Cindy Cynthia
Universitas Prima Indonesia
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IMPACT OF EPS, INTEREST RATE, ROE, NIM, AND INFLATION ON STOCK PRICES IN IDX Silvi Wijaya; Cindy Cynthia; Jholant Bringg Luck Amelia Br Sinaga
Jurnal Ipteks Terapan (Research Of Applied Science And Education ) Vol. 15 No. 3 (2021): Jurnal Ipteks Terapan ( Research of Applied Science and Education )
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah X

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2028.451 KB) | DOI: 10.22216/jit.v%vi%i.319

Abstract

This study looked at how much Earnings Per Share (EPS), interest rates, Return on Equity (ROE), Net Interest Margin (NIM), and inflation had on stock prices at the same time. This type of research uses a quantitative approach because the data used is numbers and the method used is the multiple linear regression method. The banking sector's population is 45 companies, chosen using a purposive sampling technique, so the number of samples studied was 22, with a total of 66 samples collected over a three-year period. The result of Adjusted R Square is 0.750 with the intention that 75% of the independent variables (EPS, interest rate, ROE, NIM, and inflation) affect the dependent variable (stock price) while the remaining 25% is explained by other variables. According to the observation results, EPS and NIM have a positive and significant effect on stock prices, the interest rate has a negative and insignificant effect on stock prices, ROE has a negative and significant effect on stock prices, and inflation has a positive and insignificant effect on stock prices.Simultaneously, EPS, interest rates, ROE, NIM, and inflation have a significant effect on stock prices in banking companies listed on the Indonesia Stock Exchange in 2017-2019
Academic Performance Assessment Prediction Model Using the Adaptive Neuro-Fuzzy Inference System Method Mardi Turnip; M. Arif Almahdi; Timi Tampubolon; Ade Irma Suryani; Astri Milleniar Marbun; Cindy Cynthia; Ester Ayu S. Marpaung
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v3i1.340

Abstract

Performance evaluation of Human Resources is an important part of an organization or company. One of the HR in tertiary institutions that must be evaluated is academic performance. The author conducted research on the factors of academic performance assessment. Therefore, we need a system that can classify academic performance optimally in order to improve the quality of academic performance. In this research, we construct a predictive model for academic ability evaluation using Adaptive Neuro-Fuzzy Inference System method. The ANFIS method shows a very good data accuracy of 92.20%. From each variable motivation to work appraisal show is a Good, competence to work appraisal = Good, compensation to work appraisal show is a Good, responsibility to work appraisal show is a Good, and job satisfaction to work assessment show is Good.
Co-Authors Ade Irma Suryani Astri Milleniar Marbun Ester Ayu S. Marpaung Jholant Bringg Luck Amelia Br.Sinaga M. Arif Almahdi Mardi Turnip, Mardi Silvi Wijaya Timi Tampubolon