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Journal : eCo-Fin

Price Effectiveness and Product Quality on Purchase Decisions by Printing Companies Tri Angreni; Georgius Listen; Adrian Hidayat
eCo-Fin Vol. 4 No. 1 (2022): eCo-Fin
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/ef.v4i1.453

Abstract

The purpose of writing this thesis is to determine the effect of screen-printing paint quality and printing prices on consumer purchasing decisions by printing companies. The study was conducted on 60 respondents through the distribution of questionnaires. The method used in this research is descriptive method and qualitative method. Based on the answers to the questionnaire, raw data has been obtained which is then processed using SPSS version 23 so that it becomes useful data for this research. In addition to calculating the relationship between the independent variable and the dependent variable, this study also calculated the relationship between variables. The correlation of the effect of paint quality on purchasing decisions is 0.721 the correlation of the effect of price on purchasing decisions is 0.529 and so it can be said that the relationship between the three variables is quite strong, thus Ho is rejected, and Ha is accepted. In the t-test, the results of t-count paint quality are 7.143, t-count prices are 6.896 and t-count when compared with t-table of 2.001 then there is a significant relationship is significant between paint quality and price on purchasing decisions by Printing Companies.
Pengaruh Kesadaran Wajib Pajak, Pemahaman Peraturan Perpajakan dan Sanksi Perpajakan Terhadap Kepatuhan Wajib Pajak (Studi Empiris Wajib Pajak Pribadi di Wilayah KPP Pratama Cikupa - Tangerang) Adrian Hidayat; Georgius Listen; Tri Angreni Angreni
eCo-Fin Vol. 4 No. 2 (2022): eCo-Fin
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (264.502 KB) | DOI: 10.32877/ef.v4i2.383

Abstract

This study aims to determine how far product quality and price affect purchasing decisions at PT. Leo Fam Facilities. The research conducted is by distributing questionnaires, while the research method used is descriptive method. In conducting this research, the writer uses correlation coefficient analysis, multiple linear regression analysis and F test and t test. From the results of the analysis the authors obtain the following results. From the multiple linear analysis, the equation Y = 1.583 + 0.542 X1 + 0.510 X2 means that for every 1 point increase or decrease in price, the purchasing decision will increase and decrease by 0.542. On product quality, every 1 point increase or decrease, the purchase decision will increase or decrease by 0.510. From the correlation coefficient analysis, it is shown that the price correlation coefficient is 0.953, close to 1, and the product quality correlation coefficient is 0.948, close to 1, so the relationship is strong and has a positive relationship with purchasing decisions at PT. Leo Fam Facilities. From the results of the F test for model 1, the value is 716,380 and for model 2 is 573,529 where both values ??are greater than the F table of 1.96, thus Ho is rejected and Ha is accepted. In the t-test, the results are known, in the t-column it is known that the t-count for the price (X1) is 7.108 while the t-count column for product quality (X2) is 6, 382 by using the t normal distribution table and using the degree of freedom or (df) n - 2 = 75 – 2 = 73, the value of the t table distribution is 1.666. Because t count product quality and price > from table t which is 1.666, then Ho is rejected and Ha is accepted.
ANALISIS KOINTEGRASI FAKTOR MAKRO EKONOMI INDEKS FTSE PADA BURSA EFEK INDONESIA PERIODE 2017-2022 Vivin Hanitha; Tri Angreni; Hendra Hendra; Georgius Listens; Adrian Hidayat
eCo-Fin Vol. 6 No. 1 (2024): eCo-Fin
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/ef.v6i1.1143

Abstract

This research was explain about analyzing and knowing the development of the global exchange stock price FTSE index by analyzing to the Indonesia’s Stock Exchange (BEI) and to determine cointegration between FTSE 100, data Inflation, USD/IDR exchange Rates, and Interest Rate. Combined to IHSG. Data collection method was data from 5 years starting from 2017 to 2022 on a monthly basis. The sampling method is nonprobability sampling with a sampling technique, namely purposive sampling. The analysis was carried out using the Johansen Cointegration Test and VECM test which processed by Eviews 10 software. Results showed no significancy short-term relationship between FTSE 100, Inflation, USD/IDR Exchange Rates, Interest Rate and Composite Stock Price Index (IHSG ). But, on the other side have a significant long-term relationship between them.
Effect of World Commodity Prices on the Movement of the FTSE Index on The Indonesia Stock Exchange 2020-2023 Vivin Hanitha; Tri Angreni; Hendra Hendra
eCo-Fin Vol. 6 No. 2 (2024): eCo-Fin
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/ef.v6i2.1411

Abstract

This research aims to analyze the relationship between commodity prices (gold, gas, tin, silver, nickel, oil) and the FTSE Indonesia stock market index. This research uses secondary data for the research period from January 2020 to December 2023. The analytical method used in this research is the multiple linear regression analysis method. Linear regression analysis is used to test the influence of commodity prices on changes in the value of FTSE Indonesia. The results of this research show that the gas, tin, silver and nickel index variables have a negative effect on the FTSE Index. The Oil, Nike, Gas and Tin variables have a positive influence while the Gold and Silver variables do not have a negative influence, indicating that they do not have a significant influence on the FTSE Index. The results of the analysis show that the overall regression model has a significant fit to the data, with an R-squared value of 75.58% of the variation in FTSE Indonesia can be explained by the commodity price variables included in the model. The rest are factors outside the commodity variable. In addition, the significant F-statistic (21.15427) with a low p-value 0.00 indicates that the overall regression model is very significant. These findings show that commodity prices, including gold, gas, tin, silver, nickel and oil, together have a significant influence on the movement of FTSE Indonesia. The implications of this research can help investors and decision makers to understand the dynamics of stock and commodity markets, as well as estimate the impact of changes in commodity prices on stock market performance in Indonesia.