scholarly journals RANTAI NILAI (VALUE CHAIN) AGRIBISNIS KOPI ROBUSTA RAKYAT: STUDI KASUS DI KABUPATEN EMPAT LAWANG PROVINSI SUMATERA SELATAN

2021 ◽  
Vol 9 (3) ◽  
pp. 447
Author(s):  
Putri Suci Asriani ◽  
Armeitha Suryani
Keyword(s):  
Value Chain ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Coffee Bean ◽  
Value Chain Analysis ◽  
Government Officials ◽  
Robusta Coffee ◽  
Distribution Of Values ◽  
Coffee Farmers ◽  
Coffee Farming

The absence of routine counseling and cooperatives that can work together also makes farmers still have to independently decide the direction of their business. In addition, the coffee processing industry is still very minimal. The majority of existing coffee products are sold in the form of dried coffee bean directly to collector traders. This study aims to analyze the value chain of coffee produced by value chain actors, and the potential for agribusiness development of robusta coffee in Karang Caya Village, Pendopo Barat District, Empat Lawang Regency. In this study, primary and secondary data were used which were analyzed using value chain analysis (VCA) and discussed in descriptive analysis. Research respondents involved were smallholder coffee farmers, agro-industry players, traders, and local government officials who understand the prospects for developing coffee farming in the research location. Based on the results of the study, it is known that there are 3 marketing channels for coffee, namely: farmers à subdistrict collectors à wholesalers à end consumers; farmers à end consumers; and farmers à coffee processors à end consumers. The dominance of farmers as the main actors in the activities of supply to marketing of coffee is very visible, the role of groups and other institutions is very minimal. Uneven distribution of values results in inefficient channels. This condition results in the price setting being carried out by the buyer (price setter) while the seller acts as the price taker.Key words: Robusta coffee, smallholder farmer, value chain

scholarly journals ANALISA PENYEBAB TURUNNYA PRODUKSI KOPI ROBUSTA KABUPATEN TEMANGGUNG

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Berliana Anggun Septiani ◽  
Istiarsi Saptuti Sri Kawuryan
Keyword(s):  
Value Chain ◽  
Secondary Data ◽  
Industrial Sector ◽  
Primary Data ◽  
Value Chain Analysis ◽  
Coffee Production ◽  
Robusta Coffee ◽  
Directorate General ◽  
Coffee Farmers ◽  
Coffee Sector

Indonesia has a potency in the coffee sector. Many robusta coffee farmers really depending on the coffee sector. For the example, 75% of coffee farmers in Temanggung Regency work in the robusta coffee sector. Fluctuations and declining coffee production can be a burden for coffee potency optimization and decreasing the income of the coffee farmers. This study aims to determine the factors that can affect the declining of Robusta coffee production in Temanggung Regency. The analytical methods used in this study are Value Chain Analysis, Forward Linkage and Backward Linkage, and Fishbone Analysis. The author is using secondary and primary data. Secondary data was obtained from Statistics Indonesia and Directorate General of Plantations at the Ministry of Agriculture.Primary data was obtained from interviews with 3 key informans Robusta coffee farmers in Gesing Village who eligible. The result showed that age of plants and distance of each plants, lack of coffee picking services, weather and lack of cooperation and other sectors, such as the trade sector and the industrial sector can lead into a decreasing of coffee production.

scholarly journals Characteristics of Quality Profile and Agribusiness of Robusta Coffee in Tambora Mountainside, Sumbawa

2014 ◽  
Vol 30 (2) ◽  
pp. 159-180 ◽  
Author(s):  
Lya Aklimawati ◽  
Yusianto . ◽  
Surip Mawardi
Keyword(s):  
Cropping System ◽  
Secondary Data ◽  
Poor Quality ◽  
Study Data ◽  
Coffee Bean ◽  
Green Coffee ◽  
Physical Quality ◽  
Robusta Coffee ◽  
Coffee Farming ◽  
Flavor Profile

Coffee development in Indomesia by means of optimalizing local resources needs to be done for increasing national coffee production as well as for expanding domestic and international markets. These opportunities must be used to gain benefit as a strategic action for raising farmer’s prosperity. This study was aimed to observe physical quality and flavor profile of Robusta coffee from Tambora mountainside, and to identify agribusiness coffee system applied by the farmers, including problem identification at farmer’s level. This research was carried out at Pekat Subdistrict (Dompu District) and Tambora Subdistrict (Bima District), West Nusa Tenggara Province. Direct observation and in-depth interviews were conducted in this study. Data collected consisted of primary and secondary data, as well as 11 green coffee samples from farmers to be analysed its physical quality and flavor profile. The number of respondents were nine stakeholders consisted of three farmers, two farmer group leaders, one field officer, one duty officer, one trader, and one large planter official. Respondents selection were based on convenience sampling method. The results showed that physical quality of coffee bean was belonged to Grade 4—6 (fair to poor quality), while broken beans shared the highest number of physical defects. Robusta coffee from Tambora mountainside performed good taste profile, that the coffee can be promoted to be fine Robusta by improving post harvest handling. Robusta coffee farming at Tambora mountainside was characterized by monoculture cropping system, average of land ownerships about 1 ha/household, and average productivity about 900—1,000 kg green coffee/ha/year. Major problems on Robusta coffee farming at Tambora mountainside consisted of lack of coffee plant maintenance as well as limited accessibility to financing and technology. Key words: agribusiness, physical quality, flavor, Robusta coffee, Tambora mountainside

PEMETAAN RANTAI NILAI IKAN PELAGIS KECIL DI KOTA AMBON

2018 ◽  
Vol 2 (1) ◽  
pp. 15-21
Author(s):  
Yolanda MTN Apituley ◽  
Dionisius Bawole ◽  
Imelda KE Savitri ◽  
Friesland Tuapettel
Keyword(s):  
Value Chain ◽  
Secondary Data ◽  
Pelagic Fish ◽  
Value Chain Analysis ◽  
Small Pelagic Fish ◽  
Fresh Fish ◽  
Chain Analysis ◽  
The Government ◽  
Market Distance ◽  
Role Of The Government

This research was taken in Ambon (Latuhalat and Laha) and in Central Maluku Regency (Waai) in May – July 2018. It was aimed at mapping the value chain of small pelagic fish in Ambon through: 1) mapping of product, financial and information flows and 2). analysis of percentage distribution of small pelagic fish caught. The data used in this study was primary and secondary data, and analyzed by using value chain analysis. The results show that small pelagic fish marketing chain in Ambon consisted of six models with five actors. Each chain is formed due to the conditions and situation of market, resulted by the influencing of catches of fishermen and traders' capital. The broker plays an important role in marketing small pelagic fish in the market and obtaining 10% of the fishermen's catch that can be distributed, both to retailers and cold storage. Fish caught by the fishermen is still fresh in general when arrives in the consumers, because the fishing area is not too far, the market distance with the production centers is also quite close and in general fishermen and traders have understood the importance of maintaining product quality. Even so, the role of the Government in providing marketing facilities and infrastructure is needed so that modern market conditions can be applied in marketing fresh fish in Ambon.

scholarly journals Value chain analysis of turmeric subsector in Surkhet district of Nepal

2020 ◽  
Vol 5 (01) ◽  
pp. 16-24
Author(s):  
Ganesh Bhat Chhetri ◽  
Durga Devkota ◽  
Banita Sharma
Keyword(s):  
Value Chain ◽  
Curcuma Longa ◽  
Local Level ◽  
Circulatory System ◽  
Primary Source ◽  
Secondary Data ◽  
Early Summer ◽  
Value Chain Analysis ◽  
Chain Analysis ◽  
Cost Of Production

A field experiment was carried out during the early summer seasons of 2018, at Turmeric (Curcuma longa) is a high value spice crop of high medicinal and economic concern (HVAP, 2011). It has been using in Ayurveda and medicinal propose from centuries which helps to boost up digestive system, circulatory system, nervous system and immune system (Gunnar, 2018). 60 household respondents were selected using simple random technique without replacement from Beriganga Municipality, Barahataal Village Municipality and Chaukune village Municipality. 4 co-operatives were selected from each level randomly and 5 respondent from each co-operatives, i.e. 20 respondents from each local level. 3 spice industries and 7 traders were selected purposively. Secondary data were collected from secondary sources like PMAMP, journal articles, MoAD etc. Descriptive statistics, benefit cost analysis, value chain analysis were carried out. The study reveals that 81.67% of populations were engaged in agriculture occupation as a primary source of income. The BC ratio of fresh, dry and powder turmeric was found to be 1.30, 1.09 and 1.36 (machinery), 1.16 (Dhiki Jhato) respectively. Similarly the cost of production of fresh dry and powder turmeric was found to be NRs. 18.46, NRs. 119.20 and NRs. 162.92 (machinery), NRs. 189.87 (Dhiki Jhato) respectively. Market margin of fresh, dry and powder turmeric was found to be NRs. 6.03, NRs. 25.07 and NRs. 179.70 respectively. In the study area major value chain actors were providers, producers, collectors, processors, wholesalers, retailers and consumers. Insufficient technical support and improved seed rhizome, insufficient price to cover cost of production and traders dominance in pricing were the major problems faced by turmeric producing community. This study suggests the farmers for seed production, value addition, marketing and distribution in farm level.

scholarly journals SUPPLY CHAIN AND VALUE-ADDED ANALYSIS OF LAHAT COFFEE ON COFFEE SHOP IN PALEMBANG CITY

2021 ◽  
Vol 5 (1) ◽  
pp. 126-133
Author(s):  
Afriyani Afriyani ◽  
Muhammad Yazid ◽  
Desi Aryani
Keyword(s):  
Supply Chain ◽  
Value Added ◽  
Raw Material ◽  
Added Value ◽  
Coffee Bean ◽  
Coffee Shop ◽  
Robusta Coffee ◽  
Coffee Farmers ◽  
Coffee Shops

Lahat is one of the Robusta coffee production centers in South Sumatra. The coffee beansproduced by this district are often used as raw material in the coffee shop in Palembang because of thedistinctive taste and aroma that coffee lovers love. Coffee shops opens new opportunities for Robustacoffee farming. This study aims to analyze the flow of the supply chain and the added value of Lahatcoffee beans used by coffee shop. This research was conducted through a survey of four coffee shops inPalembang. The results showed that there are two supply chain lines, (1) coffee farmers - collectors -retailers - market traders - consumers; (2) coffee farmers - processors - coffee shops - consumers. Thesecond pattern is better and more profitable than the first pattern because the quality of the coffeeproduced is higher. The average added value obtained from processing one kilogram of coffee cherriesinto ground coffee is Rp. 158,132.94, coffee bean into green bean is Rp. 427,798.55, and green beaninto a cup of coffee is Rp. 1,029,269.00. This value indicates that processing the coffee cherries intopowder and processing the selected coffee cherries in coffee shop are profitable.

scholarly journals Faktor Kelembagaan, Sosial Ekonomi Dan Penerapan (Adopsi) Teknologi Terhadap Keberhasilan Usahatani Kopi Arabika Java Preanger

2021 ◽  
Vol 9 (1) ◽  
pp. 94
Author(s):  
Euis Dasipah ◽  
Dety Sukmawati ◽  
Dian Purwadi Faturachman
Keyword(s):  
Random Sampling ◽  
Descriptive Analysis ◽  
Simple Random Sampling ◽  
Main Hypothesis ◽  
Simultaneous Application ◽  
Coffee Farmers ◽  
Study Population ◽  
Coffee Farming ◽  
The Relationship ◽  
Positive Effect

This study aims to determine and study "Institutional Farmers, Socio-economic and Technological Adoption of the Success of Java Preanger Arabica Coffee Farming (Survey of Coffee Farmers in Rancakalong District, Sumedang Regency)". Descriptive Analysis research method, with the research variables consisting of two independent variables namely, farmer institutions and farmers' socio-economic, and two Bound Variables namely Application of technology and success of coffee farming. The study population numbered 110, with a sample of 86 people, simple random sampling. / Simple random sampling, every subject in the population has the same chance of being selected as a sample. Main Hypothesis Testing Results indicate that farmer institutions, farmer socio-economics and application of technology Influence the success of coffee farming, the results of the Hypothesis Sub-tests are; (1) farmer institution influences the success of coffee farming in Rancakalong District, Sumedang Regency, (2) farmer socioeconomic influences on the success of coffee farming in Rancakalong District Sumedang Regency and the application of technology influences the success of coffee farming in Rancakalong District Sumedang Regency, (3) There is The relationship between farmer institutions and socio-economics in Rancakalong District, Sumedang Regency. Farmer institutionalization, farmer socio-economic condition and simultaneous application of technology have a positive effect on the success of coffee farming in Rancakalong Subdistrict, but when compared to the influence of all variables, the Farmer Institution has a smaller effect. While the cause of the influence of X2 is higher than X1, because the dynamics of farmer groups are common everywhere and at any time and are usually more directly related to how to improve farming yields so that the interaction is stronger. Considering the various limitations in this study, it needs to be followed up more broadly and deeply, so that it can provide more comprehensive benefits and look at other factors that influence the success of coffee farming.

scholarly journals Analysis of Pomegranate Value Chain in Kandahar Province of Afghanistan: Issues and Prospects

2021 ◽  
Vol 26 (1) ◽  
pp. 123-144
Author(s):  
Muhammad Hasham Daqiq
Keyword(s):  
Value Chain ◽  
Random Sampling ◽  
Sampling Method ◽  
Secondary Data ◽  
Vital Role ◽  
Economic Life ◽  
Primary Data ◽  
Value Chain Analysis ◽  
Chain Analysis ◽  
The World

Pomegranates are one of the most important fruits in the Kandahar province of Afghanistan, which is famous for its pomegranates around the world. Pomegranates play a vital role in the socio-economic life of those who grow them. This study empirically analyzed the value chain of pomegranate production in Kandahar using primary and secondary data. Primary data was collected from 200 pomegranate growers in the Dand, Panjwai, and Daman districts of Kandahar province. These growers were selected using a random sampling method and the data was collected using a structured, pre-tested questionnaire. The secondary data was collected from traders, local collectors, and exporters of pomegranates involving 30 pomegranate selling companies. The value chain analysis shows that from the main four chains of pomegranate production (farmer, collector, trader, and exporter), the main actors are the exporters who process pomegranate and add the greatest value by investing in marketing, shipment, and warehousing and receive highest profit margin among the stakeholders. Exporters of pomegranates to Europe earn an average of 66 Afghani per kg. The next greatest beneficiaries are the growers or farmers who earn an average of 23 AFN on each kg. Local collectors who buy pomegranates from farmers earn the least, at an average of 13 AFN per kg over the costs of processing and transportation.

scholarly journals Tomato Value Chain Analysis in Yayo And Hurumu Districts of Ilu Aba Bor Zone, Ethiopia

2022 ◽  
Author(s):  
Abera Beyu
Keyword(s):  
Family Size ◽  
Value Chain ◽  
Secondary Data ◽  
Stage Model ◽  
Value Chain Analysis ◽  
Market Participation ◽  
Participation Decision ◽  
Chain Analysis ◽  
Production Experience ◽  
Marketing Margins

Abstract Background: Tomato is one of the most important and widely grown vegetable in Ethiopia. This study was aimed at analyzing tomato value chain in Yayu and Hurumu districts of Ilubabor zone. The specific objectives of the study were to identify actors and their roles in the value chain, to estimate marketing margins of each actor and identifying determinants of market participation decision and level of participation of farm households in tomato market.Methodology: The study used both primary and secondary data. Descriptive statistics, value chain analysis and Heckman two-stage selection model were used to analyze the data.Results: The major tomato value chain actors in the study area are input suppliers, producers, collectors, wholesalers, retailers and consumers. Producer received the maximum profit when they sell directly to consumers. The Heckman first stage model result showed that four variables such as family size, production experience, participation in non-farm activity and quantity produced significantly affect the tomato market participation decision. Heckman second stage model indicated that extension contact, quantity produced and perception of lagged price significantly influence the tomato level of market participation.Conclusion: in the study area Tomato is produced mainly as a source of food and income and it is one of the most important and widely grown vegetable. The market participation decision of the farmers is influenced significantly by family size, production experience, participation in non-farm activity and quantity produced. Similarly, extension contact, quantity produced and perception of lagged price were among determinants which affect significantly tomato producer’s level of market participation. Hence, these significant factors need to be intervening so as to enhance the possible gain that could be drawn from tomato value chain in the study area.

scholarly journals STRATEGI PENGEMBANGAN KOPI ROBUSTA DI KABUPATEN MERANGIN

2021 ◽  
Vol 4 (3) ◽  
pp. 866-888
Author(s):  
Rialdi Syaputra
Keyword(s):  
Swot Analysis ◽  
Development Program ◽  
Political Support ◽  
Added Value ◽  
Regional Government ◽  
Robusta Coffee ◽  
Coffee Farmers ◽  
Processed Products ◽  
Coffee Farming ◽  
Productivity And Competitiveness

Sumatran Merangin Robusta Coffee has a plant area currently reaching 11,002 hectares. Coffee farming is one of the main livelihoods of the population in three districts, namely Jangkat, Sungai Tenang and Lembah Masurai sub-districts. The development of coffee commodities is very important in order to increase productivity and competitiveness. Regional government political support through various regulations aimed at creating various forms of convenience for agribusiness activities which are expected to boost commodity competitiveness. Therefore, it is necessary to formulate a policy strategy for the development of regional superior commodities, especially coffee, so that in the future the development of the coffee commodity can be more developed and product competitiveness is more competitive. This study aims, to describe the existing conditions of robusta coffee farming, and the strategy and design of the Robusta Coffee Farming Development program in Merangin Regency, the development of robusta coffee in Merangin Regency. The method used in this research is SWOT analysis and QSPM (Quantitative Strategic Planning Matrix). The results show that the majority of robusta coffee farmers in Merangin Regency are of productive age, most of whom have their own land with an area of ​​1 to 3 hectares. The market structure that is formed is an imperfect competitive market. Then the strategy for the development of robusta coffee farming in Merangin Regency is through the downstreaming of robusta coffee farming so that it can increase the added value of coffee-based products, improve farming technical skills to improve the quality of processed products based on robusta coffee and empower members and farmer groups. The priority of designing a robusta coffee development program in Merangin Regency is directed at increasing the capacity of robusta coffee farmers to be able to face competition, developing access to coffee marketing through product promotion, growing investor interest in and outside the region to develop downstream coffee-based products and building supporting infrastructure at centers. Robusta coffee production in Merangin Regency.

scholarly journals Value chain analysis of weaving industry

2018 ◽  
Vol 31 (3) ◽  
pp. 300
Author(s):  
Diah Ayu Rini ◽  
Sri Rahayu Budiani
Keyword(s):  
Value Chain ◽  
Raw Materials ◽  
Descriptive Analysis ◽  
Raw Material ◽  
Value Chain Analysis ◽  
Industrial Products ◽  
Chain Analysis ◽  
Industry Value Chain ◽  
Depth Interviews ◽  
Small And Medium Industry

Value chain analysis is used to discover the distribution of the supply of raw materials and the marketing of industrial products. The research study focus was located in Gamplong Tourism Village, Sleman regency, Daerah Istimewa Yogyakarta. The aims of this research were to 1) map the value chain of the weaving industry in Gamplong Tourism Village; 2) to identify existing obstacles to the weaving industry in Gamplong Tourism Village and 3) to determine appropriate strategies to minimise the obstacles in the weaving industry in Gamplong Tourism Village. The analysis used in this research was a descriptive analysis. The respondents in this study were 47 industry actors, the distributors of raw materials and marketing individuals. Data collection was conducted using a census and in-depth interviews with the weaving industry actors. This was snowballed to the distributor. Based on the results of the research, the value chain of the weaving industrial products as a whole consists of six actors, namely raw material suppliers, raw material distributors, weaving industry actors, distributors, retail traders, and consumers. The household industry value chain differs from the small and medium industry value chain. Some of the obstacles to the Gamplong weaving industry are the length of the value chain, no labour regeneration, and less tourism village development. Therefore, strategies to reduce these obstacles include cutting down the value chains, managing human resources, and increasing the promotion strategies used.

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