Analysis on the Influence of Price, Product, and Advertisement on the Purchasing Decision of Indomie Instant Noodle

This study aims to determine and analyze the influence of price, advertisement, and product quality on Indomie instant noodle purchasing decisions. The researcher collects the data online in the city of Jakarta. Due to limited time and money, some of the existing populations were taken to be the sample in the study. Due to limited time and funds, the researcher determined the number of samples in this study as many as 200 respondents. Data were collected by spreading the questionnaires online by using Google Form, the variables studied were using a Likert scale. The list of questions was first tested using validity and reliability testing, then analysed by classic assumption test and hypothesis test using SPSS software. Simultaneously, the variables of price, advertisement, and product quality have a significant effect on the purchasing decision of Indomie instant noodles.

statement given to the researcher is true and reliable. Due to limited time and money, some of the existing populations were taken to be the sample in the study. Due to limited time and funds, the researcher determined the number of samples in this study as many as 200 respondents. Data collection was done by using questionnaires to respondents regarding: 1. Questions about the identity of the respondent, which consists of several questions consisting of name, age, gender, and education. This question is used to analyze the answers given by respondents to closed questions, because the level of education will be an important factor in answering closed questions. 2. Questions regarding a series of data relating to product excellence and customer understanding. Questions in closed questions are made referring to the Likert Scale, where each is made using a scale of 1 -5 in order to obtain interval data and are given a score as follows: 1: Strongly disagree 2: Disagree 3: Neither agree nor disagree 4: Agree 5: Strongly agree

Data Analysis Method
In this study, researchers used multiple regression analysis according to Malhotra (2010: 577) is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and the dependent variable. In this study, the SPSS program was used to process and analyze research data, namely the validity test, reliability test, normality test, multicollinearity test and heteroscedasticity test. The regression model used in this study is multiple regression to test the t test, f test and the coefficient of determination.

Research Model and Hypothesis
Based on the theoretical framework mentioned above, it can be argued that through price, advertisement, and product variables either partially or simultaneously it is suspected that it has an influence on the purchasing decision of instant noodle products. Then the hypothesis can be proposed as follows: H1: Price variable has influence on the purchasing decision of instant noodle. H2: Advertisement variable has influence on the purchasing decision of instant noodle. H3: Product variable has influence on the purchasing decision of instant noodle. H4: Price, Advertisement, and Product variables have influence on the purchasing decision of instant noodle.

Research Results and Discussions 4.1 Descriptive Analysis
Data obtained from the results of descriptive analysis, shows the highest value (maximum), lowest value (minimum), average (mean) and standard deviation of each variable under study for the hypothesis, the independent variables are price, advertisement, product, and the dependent variable is the purchasing decision. The result of descriptive analysis is stated on the table below.

Validity Test Price Variable Validity Test Result
According to the table above, the results obtained from testing the instrument variable price as a whole have a Corrected Item Total Correlation value that is greater than 0.30, so thus it can be concluded that all statement instruments of the price variable used are valid and this instrument can be used in research, this is also reinforced by the significance value (2-tailed) which is entirely below 0.05. According to the table above, the results obtained from testing the instrument variable price as a whole have a Corrected Item Total Correlation value that is greater than 0.30, so thus it can be concluded that all statement instruments of the product variable used are valid and this instrument can be used in research, this is also reinforced by the significance value (2-tailed) which is entirely below 0.05. Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.12, No.6, 2021 30 According to the table above, the results obtained from testing the instrument variable price as a whole have a Corrected Item Total Correlation value that is greater than 0.30, so thus it can be concluded that all statement instruments of the purchasing decision variable used are valid and this instrument can be used in research, this is also reinforced by the significance value (2-tailed) which is entirely below 0.05. According to the table above, the Cronbach's Alpha value for all of the variables is more than 0.6 which means these variables are reliable.

Classic Assumption Test a) Data Normality Test
In this study, the researcher used P-Plot Graph for data normality test. On this P-Plot Graph below, it can be seen that the dots spread out around the diagonal line and the spread follows the direction of the diagonal line. From this graph it can be concluded that the regression line model fulfills the assumption of normality.

Graph 1 b) Multicollinearity Test
Multicollinearity testing in this study was carried out by looking at the collinearity statistic and the value of the correlation coefficient between the independent variables. Multicollinearity occurs when the tolerance value < 0.10 and Variance Inflation Factor (VIF) >10.
On the table below shows the VIF value for the variable price, promotion, quality and decision to choose less than 10. While the tolerance value is greater than 0.10, this indicates that the independent variables in this study do not correlate with each other or there is no correlation between independent variables. Table 7: Coefficients a c) Heteroscedasticity Test An important assumption of the classical linear model is that the errors that appear in the population regression function are homoscedastic, is all errors have the same variance (Gujarati, 1995). One of the methods used to check for heteroscedasticity is with the Scatterplot, under the scattered dots and not above the number 0, and not forming a pattern so that the regression model can be ignored to avoid heteroscedasticity problems. The graph of the Scatterplot is as shown below: Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700 (Paper) ISSN 2222-2855 (Online) Vol.12, No.6, 2021 32 Graph 2 From the SPSS output graph above, clearly shows that the dots spread below and above the number 0, and do not form a pattern, it can be concluded that in the regression model there is no element of heteroscedasticity.

Hypothesis Test a) Coefficient Determination (R-test)
The determination test aims to measure how far is the capability of the variation of the independent variables in explaining the variation of the dependent variable in a model. From the table above, the value of R Square (R2) that's obtained is 0.205 or 20.5% which shows the capability of the independent variables in explaining the variation that happened in the decision of buying Indomie, while the remaining 79.5% is explained by the other variables that are not in the model. The low value of R2 can explain that the capability of the independent variables in explaining the dependent variable is very limited. Ghozali (2005) stated that generally coefficient determination for cross-section data relatively low because of the presence of the big variation between each observation.

b) Partial Test (t-test)
To test the hypothesis of the influence of the variable price, advertisement, and product partially t-test was performed. This test is carried out in two directions, using an alpha significance level of 5%. Journal of Economics and Sustainable Development www.iiste.org ISSN 2222-1700(Paper) ISSN 2222-2855(Online) Vol.12, No.6, 2021 33 = Product From the table above, the result is obtained: 1. The sig value for price variable is 0.165 which is greater than the alpha value 0.05. According to the obtained result, H0 will be accepted and H1 will be rejected for price variable, which is also mean that price doesn't significantly influence the decision to choose Indomie instant noodle. 2. The sig value for price variable is 0.001 which is less than the alpha value 0.05. According to the obtained result, H0 will be rejected and H1 will be accepted for advertisement variable, which is also mean that advertisement significantly influences the decision to choose Indomie instant noodle. 3. The sig value for price variable is 0.007 which is less than the alpha value 0.05.
According to the obtained result, H0 will be rejected and H1 will be accepted for product variable, which is also mean that product significantly influences the decision to choose Indomie instant noodle.

c) Simultaneous Test (F-test)
Similar to t-test hypothesis, to do the F-test hypothesis with the dependent variable (decision) if Fcount ≥ Ftable or Sig. value is less than alpha value 0.05, H0 will be rejected and H1 will be accepted. Table 10: ANOVA a From the table above, Sig. value is 0.000 which is less than alpha value 0.05, hence H0 will be rejected and H1 will be accepted, which means the independent variables are able to explain the variation of the dependent variables, which also means the price, advertisement, and product simultaneously influence the purchasing decision of Indomie instant noodle.

Conclusion
According to the research that has been done above, it can be concluded: 1. Simultaneously, price, advertisement, and product have significant influence on the purchasing decision of Indomie instant noodle 2. Partially, price variable doesn't have significant influence on the purchasing decision of Indomie instant noodle 3. Partially, advertisement variable has significant influence on the purchasing decision of Indomie instant noodle 4. Partially, product variable has significant influence on the purchasing decision of Indomie instant noodle 5. Coefficient Determination (R2) shows the capability of price, advertisement, and product (independent variables) to explain the variation that happened on the purchasing decision at 0.205 or 20.5%, while the