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Journal : Jurnal Scientia

EFFECT OF RETURN ON ASSETS, RETURN ON EQUITYAND RETURN ON INVESTMENT ON COMPANY VALUE (Manufacturing Companies In The Consumer Goods Industry Sector Listed On Idx 2016-2020) Aliyyatus Sa'adah; Andi Farouq Hasan; Luluk Nur Azizah
Jurnal Scientia Vol. 12 No. 01 (2023): Education, Sosial science and Planning technique
Publisher : Sean Institute

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Abstract

This study aims to determine the effect of return on assets, return on equity and return on investment on the value of consumer goods industry companies listed on the Indonesia Stock Exchange in 2016-2020. This study used a sample of companies that became the research sample, namely as many as 45 companies. This study uses secondary data obtained from the financial statements of manufacturing companies listed on the IDX in the 2016-2020 period. Data processing using SPSS version 25. The data analysis method used descriptive statistics, classical assumption test, multiple linear regression, and hypothesis testing. The results of this study indicate that the ratio of ROA, ROE, and ROI partially and simultaneously has a significant effect on firm value.
THE EFFECT OF INTEGRATED MARKETING COMMUNICATION, SERVICE QUALITY, AND CONSUMER BEHAVIOR TOWARDS ONLINE PURCHASE DECISIONS ON THE SHOPEE APPLICATION (Study On Students Of The Faculty Of Economics, Universitas Islam Lamongan) Fidianatus Sholikha; Titin Titin; Luluk Nur Azizah
Jurnal Scientia Vol. 12 No. 01 (2023): Education, Sosial science and Planning technique
Publisher : Sean Institute

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Abstract

The purpose of this research is to find out whether integrated marketing communication (X1), service quality (X2) and consumer behavior (X3) on purchasing decisions (Y) in the study shopee application for students of the economics faculty of the Islamic University of Lamongan . The test results show that: T-test of Integrated Marketing Communication variable obtained Tcount (5,727) > Ttable (1,970), Service Quality variable obtained Tcount (3,061) > Ttable (1,970), Consumer Behavior variable obtained from Tcount (4,255) > Ttable (1970). Test Fcount (80.109) > Ftable (2.65). From the multiple linear regression test Y = 4.224 + 0.348 + 0.183 + 0.362, it can be seen that the most dominant value is Consumer Behavior of 0.362. The most dominant variable from the research is consumer behavior (X3).