Journal
Analisis Pola Rantai Distribusi Alternatif Perikanan Tangkap di Kabupaten Kendal
Economics Development Analysis Journal · Vol. 7 No. 4 (2018) · pp. 432–446
- ISSN
- 2252-6560
- Published
- 2018-12-14
- Publisher
- Economics Development Department, Universitas Negeri Semarang, Indonesia
- Language
- eng
Abstract
Tujuan penelitian ini untuk mengetahui pola rantai distribusi perikanan, margin keuntungan setiap pelaku tata niaga perikanan, dan mencarikan model distribusi alternatif untuk perikanan tangkap laut di Kabupaten Kendal. Metode yang digunakan yaitu pendekatan deskriptif kuantitatif guna untuk mengetahui pola rantai distribusi perikanan, margin pemasaran, dan penentuan model distribusi alternatif. Jenis data yaitu data sekunder, dan data primer yang di ambil langsung dari 93 nelayan, 50 pedagang pengecer, 35 pedagang sedang, dan 10 pedagang besar. Teknik pengumpulan data yang digunakan yaitu interview, kuesioner, observasi, dan studi pustaka. Hasil dalam penelitian ini yaitu sekurang-kurangnya terdapat tiga pola distribusi namun hanya ada dua pola yang paling dominan yaitu pola pertama: nelayan ke pedagang sedang ke pedagang besar ke pabrik atau pasar tradisional. Pola yang kedua yaitu nelayan ke pedagang sedang ke pedagang pengecer ke konsumen akhir. Margin pemasaran untuk Cumi-cumi tertinggi terjadi pada pedagang besar (21%), Pedagang sedang (8,6%), dan pedagang pengecer (5,7%). Udang tertinggi pada pedagang besar (13,7%), pedagang sedang (5%), pedagang pengecer (3,9%). Ikan Kembung tertinggi pada pedagang besar (31%), pedagang pengecer (11%), pedagang sedang (9%). The purpose of this research is to know the pattern of fishery distribution chain, profit margin of every fishery trading actors, and to find alternative distribution model for marine catch fishery in Kendal Regency. The method used is quantitative descriptive approach in order to know the pattern of fishery distribution chain, marketing margin, and the determination of alternative distribution model. The types of data are secondary data, and primary data taken directly from 93 fishermen, 50 retailers, 35 medium traders, and 10 wholesalers. Data collection techniques used were interview, questionnaire, observation, and literature study. The result of this research is that there are at least three distribution patterns but there are only two most dominant patterns, namely the first pattern: fishermen to medium traders to wholesalers to factories or traditional markets. The second pattern is the fisherman to the merchant is to the retailer to the end consumer. The highest marketing margin for Squid occurred in wholesalers (21%), Traders (8.6%), and retailers (5.7%). The highest shrimp on wholesalers (13.7%), medium traders (5%), retailers (3.9%). The highest stocks were in big traders (31%), retailers (11%), traders (9%).
Collaboration network of the authors
40 authors · 81 co-authorship links · 1 across different organisations · showing the 40 most connected
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- State University of Semarang
- Institut Agama Islam Negeri Kendari
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Sucihatiningsih Dian Wisika Prajanti | State University of Semarang | 2 |
| Grace Natalia Marpaung | Affiliation unknown | 2 |
| Yozi Aulia Rahman | Affiliation unknown | 2 |
| Joko Widodo | Affiliation unknown | 2 |
| Eva Banowati | Affiliation unknown | 2 |
| Thriwaty Arsal | Affiliation unknown | 2 |
| Etty Puji Lestari | Affiliation unknown | 1 |
| Agung Yudhi Pramono | Affiliation unknown | 1 |
| Gita Yuliantina Parameswari | Affiliation unknown | 1 |
| Rizki Nafisa | Affiliation unknown | 1 |
| Tania Wicaksana | Affiliation unknown | 1 |
| Yustiko Arvan Gilang Pangestu | Affiliation unknown | 1 |
| Makbuludin Makbuludin | Affiliation unknown | 1 |
| Maman Rachman | Affiliation unknown | 1 |
| Tri Joko Raharjo | Affiliation unknown | 1 |
| Musino Musino | Affiliation unknown | 1 |
| Nadhirin Nadhirin | Affiliation unknown | 1 |
| Cahyo Budi Utomo | Affiliation unknown | 1 |
| Tri Joko Raharjo | Affiliation unknown | 1 |
| Rinda Herdiyani Rinda | Affiliation unknown | 1 |
| Anisah Anisah | Institut Agama Islam Negeri Kendari | 1 |
| Lely Kusumaning Ayu | Affiliation unknown | 1 |
| Novita Rahmawati | Affiliation unknown | 1 |
| Febrianti Wahyuningrum | Affiliation unknown | 1 |
| Yuan Daniel Tegar | Affiliation unknown | 1 |
| Rizka Yuliani | Affiliation unknown | 1 |
| Bambang Priyono | State University of Semarang | 1 |
| Tjetjep Rohendi Rohidi | Affiliation unknown | 1 |
| Haryono Haryono | Affiliation unknown | 1 |
| Rusdarti Rusdarti | Affiliation unknown | 1 |
| Hidayatun Hidayatun | Affiliation unknown | 1 |
| Fitri Nurhayati | Affiliation unknown | 1 |
| Eko Prasetyo | Affiliation unknown | 1 |
| Aryan Eka Prastya Nugraha | Affiliation unknown | 1 |
| Baiq Diyah Rumingsih | Affiliation unknown | 1 |
| P. Eko Prasetyo | Affiliation unknown | 1 |
| Noffik Ermawati | Affiliation unknown | 1 |
| Nurlaela Nurlaela | Institut Agama Islam Negeri Kendari | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.