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Journal : Jurnal AGRISEP

PENGARUH AKSESIBILITAS PEMBIAYAAN TERHADAP PENDAPATAN PETANI KOPI DI LEMBAH GUMANTI, KABUPATEN SOLOK Cindy Paloma; Yusmarni Yusmarni; Ami Sukma Utami; Hasnah Hasnah
Jurnal AGRISEP JURNAL AGRISEP VOL 19 NO 02 2020
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.516 KB) | DOI: 10.31186/jagrisep.19.2.301-314

Abstract

Capital is one of the most important factors for increasing coffee production. Coffee farmers accessibility to resources financing is still limited. Farmers are considered not bankable by financial institutions.This condition hampering them to manage and develope coffee farm. This study aims to : 1) analyze the characteristics of coffee farmer in the Lembah Gumanti District , 2) analyze factors that influence coffee farmers income in Lembah Gumanti District. The study was conducted in Solok Regency which is the largest coffee production in West Sumatra. This study using 30 samples of coffee farmers selected by simple random sampling method. Descriptive analysis and multiple regression analysis are used to answer the research question. Based on the results of descriptive analysis, the characteristics of coffee farmers is: farmer who in productive age with a low level of education, have family members ranged from 2-6 people, 90% of coffee farmer have experience under 5 years, 93% of coffe farmer capital comes from own capital and 3% of coffe farmer capital from loan. Based on the multiple regression output, access to financial institutions , labor, farming experience, age, education, productivity, cost of farming, capital source, coffee bean prices and plants age variabels, simultaneously affected and significant to coffee farmers income. In Partial test, labor, number of trees, cost of farming and source of capital have a significant effect on coffee farmer income. The labor factor, the number of trees and the source of capital have a positive effect while the cost of farming has a negative effect. Farmer access to financial institutions is negative and not significant to income, because 63% of coffee farmers dont have access to financial institutions, and 36% of farmers who have access to financial institutions not using loan funds for farming, but for other needs, such as household consumption.
ROADMAP PENGEMBANGAN KOPI DI KAB. SOLOK SELATAN Yulistriani Yulistriani; Yaherwandi Yaherwandi; Cindy Paloma
Jurnal AGRISEP JURNAL AGRISEP VOL 18 NO 02 2019
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (211.375 KB) | DOI: 10.31186/jagrisep.18.2.279-288

Abstract

Coffee is an important commodity as a source of foreign exchange and regional income. Solok Selatan district the second largest coffee producer after Solok district in West Sumatra. But the potential for coffee development in Solok Selatan district  has not been clearly mapped before. Therefore this study aims is to analyze the potential for coffee development and construct a roadmap for coffee development in Solok Selatan district. This study uses primary and secondary data. For the first purpose, an in-depth interviews were conducted using the purposive sampling method and FGD (Focus Group Discussion) with coffee stakeholders, such as the coffee traders, farmers, agriculture counselor, the government and NGOs (Non-Governmental Organizations). The data, which is a results of interviews and FGDs are grouped into internal and external factors and then analyzed using the SWOT (Strengths-weaknesses-opportunities-threats) analysis to answer the second goal. The analysis results show that the Solok selatan district coffee commodity has potential to be developed because it have a unique flavor of lemon and casiavera. It is necessary to do several stages to develop of Solok Selatan coffee, namely product diversifications, build a coffee center outlets, and design an attractive coffee tourism areas. Thus, the existing potential is expected to develop optimally and Solok Selatan district can be known as one of the “coffee village” in West Sumatra.
STUCTURAL EQUATION MODELING-PARTIAL LEAST SQUARE-UNTUK PERMODELAN PENGARUH KOMPETENSI KEWIRAUSAHAAN TERHADAP KINERJA USAHA KEDAI KOPI SKALA KECIL DI KOTA PADANG Cindy Paloma; Yusmarni Yusmarni; Afrianingsih Putri; Hasnah Hasnah
Jurnal AGRISEP JURNAL AGRISEP VOL 21 NO 02 2022
Publisher : Badan Penerbitan Fakultas Pertanian, Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.188 KB) | DOI: 10.31186/jagrisep.21.2.283-296

Abstract

During the COVID-19 pandemic, the growth of small-scale coffee shops has increased in Padang city. This condition indicates the high level of coffee consumption and the increased competition of coffee shops. A good entrepreneurship competency is needed to improve business performance. This research aims to analyze the influence of entrepreneurial competency on small-scale coffee shop business performance in Padang City. This research used an Entrepreneurial competency model influenced by psychological characteristics (indicated by motivation, achievement, socialize need) and environmental factors (characterized by social net, government policy, and supply). The business performance model is influenced by entrepreneurial competency (managerial skill, conceptual skill, social skill, decision-making skill, and time managerial skill)  and environmental factors. This research used a snowball sampling method of 100 data samples of small-scale coffee shops (owner and barista) in Padang City from April until May 2021. The data was then analyzed by SEM-PLS analysis with SMART PLS 3.3 software. The result showed that psychological characteristics and environmental factors influenced the entrepreneurial competency in small-scale coffee shops. The business performance was influenced by entrepreneurial competency and environmental factors in the small-scale model. The results also show that the model was used in this research has a Model Fit of 84%.