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Analisis Pengaruh Marketing Mix 4P terhadap Kepuasan Konsumen Ayam Frozen Prima Freshmart di Kabupaten Kendal Rahma, Tasya Mifdatul; Budiraharjo, Kustopo; Setiadi, Agus
Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 10, No 2 (2024): Juli 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v10i2.13843

Abstract

The increasing level of chicken meat consumption in Kendal Regency has caused competition for the sale of chicken meat which also increase. Chicken meat is not only sold in traditional markets but is now starting to spread to modern markets where it is sold in frozen. Companies need to develop their marketing to be able to compete by increasing consumer satisfaction, one of which is through the marketing mix 4p. Consumer satisfaction is an emotional assessment where consumer expectations and needs are met. This research aims to determine the application of the marketing mix 4p and the influence of the marketing mix 4p on consumer satisfaction of Prima Freshmart frozen chicken in Kendal Regency. This research was conducted at Prima Freshmart in 3 sub-districts in Kendal Regency, namely Boja, Kaliwungu and Pegandon in November - December 2023. The research method used was a survey method using questionnaires. Sampling used the accidental sampling method with a total of 120 respondents. Data analysis used descriptive analysis and multiple linear regression analysis. The research results show that the implementation of the 4p marketing mix carried out by Prima Freshmart has been implemented well. Product, price, place and promotion simultaneously and partially influence consumer satisfaction for Prima Freshmart frozen chicken in Kendal Regency. The coefficient of determination is 0.789, which means that  product price, place and promotion explain the consumer satisfaction value of Prima Freshmart frozen chicken in Kendal Regency by 78.9% and the remaining 21.1% is explained by other variables not studied.
Pengaruh Bauran Pemasaran 7P Terhadap Loyalitas Konsumen Produk Olahan Kopi Gincu di Kota Cirebon Winata, Tina Pandu; Budiraharjo, Kustopo; Nurfadillah, Suryani
Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 10, No 1 (2024): Januari 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v10i1.12822

Abstract

The study aimed to identify consumer characteristics of processed Kopi Gincu products, analyze the 7P marketing mix and consumer loyalty and its influence on processed Kopi Gincu products in Cirebon City. The research was conducted in December 2022 - February 2023. The location of the research was at Kopi Gincu which is located in Sedong Lor Village, Sedong District, Cirebon City. The study used a survey method with accidental sampling technique. The results showed that the majority of consumers were male, aged 18-25 years, the average consumer was still a student, domiciled from Cirebon City, had a monthly income ranging from less than Rp. 500,000, the number of purchases that were made for one time coming and consuming Gincu Coffee was Rp. 25,001 to Rp. 75,000. The majority of consumers visit Kopi Gincu together with their friends (school friends, college friends or work friends) and the majority know information about the place/location of Kopi Gincu from social media and also recommendations from other people (friends, girlfriends or family). Descriptively, the 7P marketing mix and also consumer loyalty at Kopi Gincu are only perceived as quite good because they are classified in the medium category. Product, price, promotion, place, people, process, and physical evidence variables simultaneously affect consumer loyalty for processed Kopi Gincu products in Cirebon City. However, partially only 4 variables have an effect on consumer loyalty, namely price, place, process, and physical evidence. Marketing mix variables product, price, promotion, place, people, process, and Physical Evidence are able to explain variations in changes in consumer loyalty variables by 79.3%. While the remaining 20.7% is explained by other variables outside the model.
Analisis Pendapatan Petani Karet di Nagari Tebing Tinggi Kecamatan Pulau Punjung Kabupaten Dharmasraya Willion, Racel Joy Mikesi; Budiraharjo, Kustopo; Handayani, Migie
Mimbar Agribisnis : Jurnal Pemikiran Masyarakat Ilmiah Berwawasan Agribisnis Vol 10, No 2 (2024): Juli 2024
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ma.v10i2.14484

Abstract

Rubber is one of the second largest plantation commodities after oil palm. Pulau Punjung is the sub-district with the largest rubber plantation area in Dharmasraya Regency, which is 6,980 ha. Nagari Tebing Tinggi is one of the Nagari which has a community with the main livelihood as a rubber farmer to make ends meet. The research objectives were to analyze rubber farming income and analyze the relationship between the variables of land area, total production, selling price, number of trees, and labor with the income of rubber farmers in Nagari Tebing Tinggi. The research was conducted in March-April 2023. The research method used was a survey. Data collection methods using observation and interviews. The sampling method used was simple random sampling, with a sample of 114. Data analysis using income analysis and Pearson correlation analysis. The results showed that the average production costs incurred were IDR 664,721.57/year, the average revenue was IDR 24,511,528.42/year, and the average income earned was IDR 23,846,806.86/year. Based on the results of the study, it is known that rubber farming in Nagari Tebing Tinggi makes a profit, with a profitability of 35.87%. The factors of land area, total production, and number of trees have a very significant relationship to income with a strong correlation level. The labor factor has a very significant relationship to income but the level of correlation with income is weak. The selling price factor is also significantly related with a very weak correlation level with income.