Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : eCo-Fin

Financial Statement Analysis to Assess Company Financial Performance Octavianti Purnama; Vivin Hanitha; Tri Angreni Angreni
eCo-Fin Vol. 2 No. 3 (2020): eCo-Fin
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

PT Shinrai Indonesia is one type of distributor company engaged in the marketing of products, especially food support materials. Therefore, the purpose of this study is to determine the financial condition and developments occurring within the company, to identify problems or problems in the company's finances by providing inputs and suggestions that can assist in overcoming weaknesses and to support management policies that have been implemented. set together. The research method carried out by the author is library research by taking references from books that are closely related to the subject matter and research objects, both from the library and from other sources. And field research (field research) by collecting data from companies. Based on the results of research on the financial statements of PT Shinrai Indonesia from 2014 – 2018, it can be seen that in 2014 the company had fairly good financial ratios, both for liquidity ratios, activity ratios, profitability and solvency ratios. The conclusion that can be drawn by the author is that the state of the company from 2014 to 2018 has decreased and increased for all ratios used, although there are several ratios that have improved for that year therefore it is necessary to do better handling for the progress of the company. In addition, the profits contained in the company also tend to experience a small increase from 2014 - 2018. Based on these conclusions the authors suggest the company to take various corrective actions, including negotiating with creditors to extend or reschedule payments on debt, increase the level of sales, do more vigorous promotion
The Effectiveness of Promotion, Location and Brand Image on Motorcycle Purchase Decisions Octavianti Purnama; Vivin Hanitha; Georgius Listen
eCo-Fin Vol. 1 No. 3 (2019): Accumulation
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The purpose of this study was to determine the effect of location, promotion and brand image on purchasing decisions for Honda motorcycles in Tangerang. In this thesis, research was conducted on 100 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 24 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 influence of location on purchasing decisions is0.484, the correlation of the effect of promotion on purchasing decisions is 0.432 and the correlation of the influence of location on purchasing decisions is0.167,so it can be said that the relationship between the four variables is quite strong. From the results of the F test model 1, the value of346,211,model 2 is rated461,897 and model 3 got a value of 593,825 where the value is greater than F table by 3.09, Thus Ho is rejected and Ha is accepted. In the t-test, the results of the t-count image can be obtainedbrand as big as 3,438t calculate the promotion of 6,181and t calculate the location of 7,710, when compared with a t table of 1,984then there is a significant relationship between brand image, promotion and location on purchasing decisions Honda motorcycles at PT. Tangerang Highlands Rides.
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.