CD Skripsi
Pengaruh Bauran Pemasaran Terhadap Keputusan Pembelian Produk Madu Hutan Tesso Nilo, Kecamatan Ukui, Kabupaten Pelalawan Di Kota Pekanbaru
This study aims to determine and analyze the effect of Marketing Mix of
purchasing decisions Tesso Nilo Forest Honey, District Ukui Pelalawan District
in Pekanbaru City.
The population in this study are Pekanbaru consumers who have
purchased Tesso Nilo Forest Honey, Ukui Subdistrict Pelalawan District with a
sample size of 105 people
The sampling method using random sampling technique is sampling
technique that gives equal opportunity to member of population to be member of
sample. Determination of the number of samples is done by using the Slovin
formula in Riduwan (2005: 65). From the calculation results obtained the number
of samples of 105 people Consumers Pekanbaru. Data collection methods used
Observation is the researcher involved with everyday people who are being
observed or used as a source of research data, questionnaires are data collection
techniques conducted data by compiling a list of questions and then disseminate it
to the respondents in research, and this documentation techniques Used to obtain
data from the consumer and honey farmers especially know the condition of
Honey Forest quality. Data were analyzed by using descriptive statistic by
describing data of each variable, testing of data quality, and multiple regression
analysis.
The results showed that the influence of Product, Promotion, Price, and
Distribution to the purchasing decision of Nello Forest Honey in Pekanbaru is
very strong (r = 0.673). The coefficient of determination or number R square is
453 For multiple linear regression should use R square adjusted or written
Adjusted R square, because adjusted with the number of independent variables
used, where if the independent variable 1 (one) then use R square and if it has
Exceed 1 (one) using adjusted R square. Adjusted R square is equal to .0.453 this
means 45.3% of the variation of the dependent variable The purchase decision
while the rest is explained by other variables.
Keywords: Marketing Mix and purchase decision
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