BIKO.ID : OPTIMIZING THE POTENTIAL OF COCOA BEANS TO INTEGRATED THE DIGITAL ECONOMY BASED AND COCOA INDUSTRY IN INDONESIA (CASE STUDY OF COCOA FARMERS IN LOMBOK)
Abstract
Cocoa is a plantation commodity whose role is quite important for the national economy, especially as a provider of employment, sources of income and foreign exchange. In addition, cocoa contributes 9% to GDP. On the other hand, there are fundamental problems to date that have not been resolved, especially those faced by farmers, namely that there is still asymmetric information that makes farmers' income maximum productivity. Asymmetric information about the price of cocoa has resulted in a lack of farmers' income, in addition, there is still a lack of MSME players in managing cocoa beans because of lack of adequate capital (machinery, production costs) is a major problem in the development of the cocoa industry in Indonesia. The purpose of this research is to optimize the rapid development of technology to increase the income of farmers and business people in the cocoa industry through the optimization of the role of BIKO.id. Biko.id serves to facilitate farmers in marketing and to attract investors to invest in order to facilitate the financing of MSME processing from cocoa beans. Biko.id also functions to make it easier for MSME players to get raw materials (cocoa beans) to be processed into packaging forms (dry snacks, powder, etc.), especially for domestic farmers. This paper is a literature study that is presented descriptively and is supported by several kinds of literature that have a lot of relevance to the problem under study. In addition, it is combined with face-to-face relationship (In-depth Interview) data to study objects. Data processing techniques were carried out by descriptive analysis and Critical Factors Success (CFS) analysis. Of course, in the application, some support is needed from various parties, including investors, academics, practitioners, governments so that the implications can arise by sustainability. Through the optimization of SMES pplications or websites.
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