Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Economics and Business Journal

The Effect of Electronic Word of Mouth and Price on The Purchase Decision of Big Banas Products in Makassar City Moh. Rifky Wahyudi; Anwar Ramli; Muhammad Ilham Wardhana Haeruddin; Amiruddin Tawe; Muh. Ichwan Musa
Economics and Business Journal (ECBIS) Vol. 1 No. 4 (2023): May
Publisher : PT. Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ecbis.v1i4.48

Abstract

This study aims to determine the effect of electronic word of mouth and price on purchasing decisions for Big Bananas in Makassar City partially and simultaneously. The population in this study are followers of the Big Bananas Instagram account, totaling 78,182 users as of November 2022. The sample used is based on the slovin formula with an error rate of 10%, namely 100 respondents. The sampling withdrawal technique is systematic random sampling. Data collection techniques were carried out using questionnaires, literature studies and interviews. The data analysis technique used is multiple regression analysis using SPSS 22.00 for windows. The results showed that electronic word of mouth and price had a positive and significant effect on purchasing decisions for Big Bananas in Makassar City.
Use of the Single Index Model in Determining Investment Decisions During the Covid-19 Pandemic: Study on IDX30 Index Stocks on the IDX in 2020-2021 Anwar; Amiruddin Tawe
Economics and Business Journal (ECBIS) Vol. 1 No. 2 (2023): January
Publisher : PT. Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (558.678 KB) | DOI: 10.47353/ecbis.v1i2.16

Abstract

This study aims to determine stock investment decisions during the COVID-19 pandemic using a single index model. The population in this study is all the shares of companies that are included in the IDX30 market index on the Indonesia Stock Exchange for the 2020-2021 period, namely 40 stocks, while the sample is 39 stocks selected based on purposive sampling technique. Data collection using documentation techniques. Data analysis was carried out using a single index model, starting with collecting the closing stock prices of each to get the optimal portfolio. The results of this study indicate that there are 29 stocks included in the optimal portfolio during the COVID-19 pandemic, namely (ADRO), (ANTM), (ASII), (BBCA), (BBNI), (BBRI), (BBTN), ( BMRI), (BRPT), (BTPS), (CPIN), (ERAA), (EXCL), (INCO), (INKP), (JPFA), (KLBF), (MIKA), (PGAS), (PTPP) , (PWON), (TBIG), (TINS), (TKIM), (TLKM), (TOWR), (UNTR), and (WSKT).
The Influence of Product Quality, Price, and After-Sales Service on the Purchase Decision of Honda Matic Motorcycle: Case Study on Students of the Faculty of Economics and Business, Makassar State University Ahmad Maulana Putra; Zainal Ruma; Muhammad Ilham Wardhana Haeruddin; Amiruddin Tawe; Muh. Ichwan Musa
Economics and Business Journal (ECBIS) Vol. 1 No. 3 (2023): March
Publisher : PT. Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ecbis.v1i3.27

Abstract

The purpose of this study was to determine the effect of product quality, price, and after-sales service on purchasing decisions for Honda brand Matic Motorbikes individually and simultaneously. The sample used was 100 students of the Faculty of Economics and Business who had been selected based on predetermined criteria. Data collection techniques were carried out by questionnaire and literature study. The data analysis technique consists of validity test, reliability test, classical assumption test which consists of normality test, multicollinearity test, and heteroscedasticity test, multiple linear analysis test, hypothesis testing, determinant coefficient test. All independent variables have a correlation that is in the same direction as the dependent variable (purchase decision). The most dominant variable influencing purchasing decisions is the product quality variable. Which means that the dependent variable purchasing decisions can be explained by variables consisting of product quality, price, and after-sales service, the rest is explained by other variables that are not examined.