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

Dasipah, Euis; Sukmawati, Dety; Faturachman, Dian Purwadi

doi:10.35138/paspalum.v9i1.282

Cited by 6 publications

(6 citation statements)

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“…The coffee harvesting process is done manually using hands (handpick) to obtain fully ripe coffee fruit. According to the statement by Dasipah et al [2], the advantage of harvesting coffee using the red-picking method is that it results in better coffee quality due to lower moisture content compared to the strip-picking method. Coffee plants with good productivity can usually produce 4-5 kg of whole coffee fruit or commonly called cherry per tree.…”

Section: Coffee Cultivation Activitiesmentioning

confidence: 99%

Farming performance and evaluation of the adoption of robusta coffee cultivation based on geographical indication in candiroto district temanggung regency

Anggoro,

Fadillah,

Prayoga

2024

IOP Conf. Ser.: Earth Environ. Sci.

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The Geographical Indication Protection Society (MPIG) aims to maintain the uniqueness of coffee commodities in Temanggung Regency by implementing predetermined standardization. The purpose of this study is to analyze the farm performance of Robusta coffee based on geographical indication and evaluate the level of farmer adoption. The research was conducted using a case study method on coffee farmers who are members of MPIG in Candiroto district and an R/C ratio analysis to illustrate how high the benefits received by farmers are in terms of acceptance if they apply geographical indication SOP. The results show that the R/C ratio of farmers who apply geographical indication SOP obtained a value of 2.50. The level of farmer adoption of geographical indication SOP in the cultivation and harvesting stages is considered high, while in the post-harvest stage, only the dry processing process has a high adoption rate. Suggestions that can be given from this research are that MPIG, as an organization that introduces geographical indication SOP, should be more persuasive in providing education to farmers about the benefits they receive if they apply geographical indication SOP. SOPs that are not relevant for farmers should be adjusted so that the level of farmer participation and adoption becomes high.

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Section: Coffee Cultivation Activitiesmentioning

confidence: 99%

Farming performance and evaluation of the adoption of robusta coffee cultivation based on geographical indication in candiroto district temanggung regency

Anggoro,

Fadillah,

Prayoga

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…The role of F members in the livestock business in Indonesia is enormous. Apart from being a source of labor, a large number of F members will increase the motivation of farmers to carry out additional business to meet the needs of large families [22], [23]. In West Sulawesi Province, goat farming is a side business for F farmers, characterized by a small business scale (Table 1).…”

Section: The Effect Of Subjective Norms On the Behavior Of Farmers In...mentioning

confidence: 99%

The Influence of Subjective Norms on Farmers' Behavior in Handling Goat Waste

Baba,

Hastang,

Asnawi

et al. 2023

HAJAS

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Waste treatment (WT) was one way to increase the income of small-scale goat farmers. Many factors influence breeders to adopt technology, including the subjective norm (SN) factor. This study aims to determine the effect of subjective norms (SN) consisting of the influence of informal leaders (IL), Family (F), extension (E) /Training Officer (TO), and peer groups (FG) or farmer neighbors (FN) on the behavior of farmers in feces waste treatment (WT). The research was carried out in West Sulawesi Province, precisely in Polman and the Majene Regencies, which were goat farming centers. The respondents were 50 in the Majene district and 100 in the Polman district. The determination of the sample was carried out randomly at the location of the goat breeding center (GBC). The research variable consisted of the behavior of farmers in adopting technology (AT), which consisted of five levels: feces disposed of (score 1), not processed and used alone (score 2), not processed and sold (score 3), processed and used alone (score 4). It was processed and sold (score 5). Independent variables consisted of subjective norms, including the Community Leader (CL) (X1), Family (F) (X2), Extension Workers (EW) or Technical Officers (X3), and Neighbors (N) or colleagues (C) influence (X4). The linear regression model was used to predict the F-test and t-test. The results showed that SN affects breeders’ behavior in processing goat livestock waste (GLW). The variable influence of EW, F, and N was a component of SN that influenced the behavior of breeders, to increase the adoption of WT technology, the role of EW must be increased in assisting farmers in adopting WT technology. Keywords: Goat, subjective norm, adoption, extension officer, Family member

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“…Priangan Coffee or Java Preanger Arabica Coffee (JPAC), is a variant of coffee originating from West Java, more specifically from Garut, Bandung Regency, West Bandung and Sumedang area in Indonesia (Dasipah, Sukmawati & Faturachman, 2021). These areas produce specialty-type coffee which has excellent taste test results (Djuwendah, 2019) and has received a cupping test certificate in the very good category (Djuwendah, Karyani, Sadeli & Hapsari, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…These areas produce specialty-type coffee which has excellent taste test results (Djuwendah, 2019) and has received a cupping test certificate in the very good category (Djuwendah, Karyani, Sadeli & Hapsari, 2019). JPAC has good quality, liked by domestic and foreign consumers, and until now it has been exported a lot, including to Morocco, South Korea, Australia and Germany (Dasipah et al, 2021;Ginanjar, Apiatno & Amanda, 2020).…”

Section: Introductionmentioning

confidence: 99%

Design of a traceability system for a coffee supply chain based on blockchain and machine learning

Ligar,

Madenda,

Mardjan

et al. 2024

JIEM

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Purpose: This paper aims to develop a coffee supply chain traceability system based on Blockchain (BC) and Machine Learning (ML) with the aim of ensuring the quality of coffee beans production. BC functions to ensure supply chain performance, while the ML model ensures product quality.Design/methodology/approach: Smart Contracts will be built on the Ethereum Virtual Machine BC network based on Ethereum. The ML model to identify good and bad green coffee beans will be built using different YOLO algorithms, which will go through training and validation stages, namely using the k-fold cross validation method. The ML model algorithm is based on Convolutional Neural Network (CNN) using YOLOv5m, YOLOv6m and YOLOv7. The best model will be chosen based on the results of cross-validation with test data in the form of coffee image data that the model has never seen (unseen data). The whole process of building the ML model is done on the Google Collab Pro+ Virtual Machine.Findings: YOLOv5m outperformed the other models in both non-augmented and augmented training datasets, highlighting the proficiency of YOLOv5m in managing compact datasets and its resilience in the face of data augmentation, positioning it as a prime selection for quality discernment tasks within the realm of green coffee beans. The smart contracts offer an all-encompassing approach for user management, monitoring product status, and presenting traceability data within the framework of coffee plantation administration.Originality/value: This research contributes to the development of blockchain network as a solution to implement traceability systems along coffee supply chains in Indonesia. Moreover, it shows that while blockchain can ensure the process of production along the coffee supply to follow certain guidelines, machine learning can verify whether the product that was produced by utilizing BC is of high quality/acceptable.

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

Cited by 6 publications

References 0 publications

Farming performance and evaluation of the adoption of robusta coffee cultivation based on geographical indication in candiroto district temanggung regency

Farming performance and evaluation of the adoption of robusta coffee cultivation based on geographical indication in candiroto district temanggung regency

The Influence of Subjective Norms on Farmers' Behavior in Handling Goat Waste

Design of a traceability system for a coffee supply chain based on blockchain and machine learning

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