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ANALISIS EFISIENSI PEMASARAN KOPI ARABIKA DI KOTA SUNGAI PENUH PROVINSI JAMBI

JALOW | Journal of Agribusiness and Local Wisdom · Vol. 4 No. 1 (2021) · hlm. 55–64

DOI
10.22437/jalow.v4i1.13323
ISSN
2621-1300, 2621-1297
Terbit
2021-06-16
Penerbit
Program Studi Agribisnis bekerja sama dengan PERHEPI
Bahasa
en

Abstrak

This study aims to describe the marketing of arabica coffee, analysis farmer’s share and analyze the efficiency of arabica coffee marketing channels. The data used are primary data through direct interviews with farmers to be used as samples and secondary data obtained indirectly such as books that are relevant to the topic under study Arabica coffee farmers samples were determined with random sampling while the sample of traders is determined with snowball sampling. The method of analysis in this research is descriptive analysis by tracing arabica coffee distribution activities from farmers to end consumers. analyzing farmer share marketing functions can be known based on the main activities carried out by each marketing agency. Marketing analysis by calculating marketing margins and farmer’s share, by understanding the differences in costs between institutions and functions performed by each marketing institution. Quantitative analysis answers marketing efficiency by looking at and measuring indicators of marketing efficiency. Marketing efficiency can be seen by using quantitative analysis by looking at several indicators of profit and cost ratio analysis. The results showed that marketing institutions consisted of large traders/industry, cooperative, UKM/industry and traders thinner. There are five marketing channel patterns is I (farmer, large traders/industry, consumer), II (farmer, large traders/industry, UKM/industry, consumer), III (farmer, large traders/industry, UKM/industry, traders thinner, consumer), IV (farmer, cooperative/industry, UKM/industry, consumer), V (farmer, cooperative/ industry, UKM/industry, traders thinner, consumer). Score farmer’s share the highest is in the four channels pattern 27% shows the price received by yhe end consumer close to the price received by the farmer due to the short channel and low operational and processing costs. The last indicator is the profit and cost ratio with the highest 7.3 value from other channels, the highest value indicates that channel four will get high profits and low marketing costs.

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  • Universitas Jambi
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Saidin NainggolanUniversitas Jambi5
RosyaniAfiliasi tidak diketahui2
Adlaida MalikUniversitas Jambi1
Zakky FathoniUniversitas Jambi1
Aulia FaridaUniversitas Jambi1
Rissa FitriyaniUniversitas Jambi1
Fendria SativaUniversitas Jambi1
Dompak NapitupuluAfiliasi tidak diketahui1
Velly Fika PritychiaUniversitas Jambi1
Ebi FebriansyahUniversitas Jambi1
EdisonAfiliasi tidak diketahui1
Yunika HerviyantiUniversitas Jambi1
Saad MurdyAfiliasi tidak diketahui1
FariedAfiliasi tidak diketahui1
Dompak NapituluUniversitas Jambi1
Diana Dewi SartikaAfiliasi tidak diketahui1
Fuad MuchlisUniversitas Jambi1
A MuzakirAfiliasi tidak diketahui1
RukaiyahUniversitas Jambi1
Emilia ChandraUniversitas Jambi1
JaliusAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://online-journal.unja.ac.id/index.php/JALOW/oai, pertama di-harvest 6 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">ANALISIS EFISIENSI PEMASARAN KOPI ARABIKA DI KOTA SUNGAI PENUH PROVINSI JAMBI </dc:title>
	<dc:creator xml:lang="en">Baviga, Rado</dc:creator>
	<dc:creator xml:lang="en">Hamid, Ernawati</dc:creator>
	<dc:creator xml:lang="en">Murdy, Saad</dc:creator>
	<dc:subject xml:lang="en">Arabica Coffee, Descriptive, Marketing Agency</dc:subject>
	<dc:description xml:lang="en">
This study aims to describe the marketing of arabica coffee, analysis farmer’s share and analyze the efficiency of arabica coffee marketing channels. The data used are primary data through direct interviews with farmers to be used as samples and secondary data obtained indirectly such as books that are relevant to the topic under study Arabica coffee farmers samples were determined with random sampling while the sample of traders is determined with snowball sampling. The method of analysis in this research is descriptive analysis by tracing arabica coffee distribution activities from farmers to end consumers. analyzing farmer share marketing functions can be known based on the main activities carried out by each marketing agency. Marketing analysis by calculating marketing margins and farmer’s share, by understanding the differences in costs between institutions and functions performed by each marketing institution. Quantitative analysis answers marketing efficiency by looking at and measuring indicators of marketing efficiency. Marketing efficiency can be seen by using quantitative analysis by looking at several indicators of profit and cost ratio analysis. The results showed that marketing institutions consisted of large traders/industry, cooperative, UKM/industry and traders thinner. There are five marketing channel patterns is I (farmer, large traders/industry, consumer), II (farmer, large traders/industry, UKM/industry, consumer), III (farmer, large traders/industry, UKM/industry, traders thinner, consumer), IV (farmer, cooperative/industry, UKM/industry, consumer), V (farmer, cooperative/ industry, UKM/industry, traders thinner, consumer). Score farmer’s share the highest is in the four channels pattern 27% shows the price received by yhe end consumer close to the price received by the farmer due to the short channel and low operational and processing costs. The last indicator is the profit and cost ratio with the highest 7.3 value from other channels, the highest value indicates that channel four will get high profits and low marketing costs.
</dc:description>
	<dc:publisher xml:lang="en">Program Studi Agribisnis bekerja sama dengan PERHEPI</dc:publisher>
	<dc:date>2021-06-16</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://online-journal.unja.ac.id/JALOW/article/view/13323</dc:identifier>
	<dc:identifier>10.22437/jalow.v4i1.13323</dc:identifier>
	<dc:source xml:lang="en">JALOW | Journal of Agribusiness and Local Wisdom; Vol. 4 No. 1 (2021): Journal Agribusiness and Local Wisdom; 55 - 64</dc:source>
	<dc:source>2621-1300</dc:source>
	<dc:source>2621-1297</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://online-journal.unja.ac.id/JALOW/article/view/13323/11219</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2021 JALOW | Journal of Agribusiness and Local Wisdom</dc:rights>
</oai_dc:dc>