Shallot is a national strategic commodity in Indonesia, but it is development has a fundamental technical, socioeconomic, and policy support problems. Therefore, it is essential to know the competitiveness of shallot in Indonesia and the incentive policy to implement the comparative advantage to become a sustainable competitive advantage. The purposes of this study are to (1) analyze the profitability of shallot farming privately and socially, (2) analyze the competitiveness of shallot farming from a competitive and comparative advantage perspective, (3) review the impact of government policy on shallot farming, and (4) formulate incentive policies in the development of shallot commodities. The empirical results of the Policy Analysis Matrix revealed that shallot farming in production centers in Indonesia has both competitive and comparative advantages. The highest competitive and comparative advantages were found in the dry season in the upland of Malang district with the coefficient values of PCR (Private Cost Ratio) of 0.268–0.508 and DRCR (Domestic Resource Cost Ratio) of 0.208–0.323. The lowest competitive advantage was found in the lowland of East Lombok district in the dry season with a coefficient value of PCR 0.728–0.844. The lowest comparative advantage in the dry season was found in East Lombok district with a DRCR of 0.448, while in the rainy season, it was found in Wonosobo district with a DRCR of 0.522. These results mean that it is more profitable for Indonesia to increase domestic shallot production than to import. Improving shallot competitiveness can be carried out by implementing advanced technology, agricultural infrastructure, capacity building of farmers’ resources, and government incentive policies to increase productivity and competitiveness sustainability.
The green revolution and climate change have become a promising Indonesian rice production strategy to reach self-sufficiency through the application of improved agricultural technology such as organic rice farming (ORF). ORF is an eco-friendly agricultural practice that increases production, income, and sustainable agriculture. This study assessed farmers’ perception, motivation, constraints, awareness, and belief in adopting ORF. The study used a multi-stage sampling procedure. The primary data were collected from 203 households in West Java Province using a structured questionnaire. Weighted average index (WAI) was used to assess the farmers’ perception, motivation, awareness, and belief regarding the adoption of ORF. The results reveal a significantly different perception between ORF and conventional rice farming (CRF) farmers on production, quality, health and safety, market price, environmental concern, and certification aspects. ORF farmers had a more positive perception than conventional farmers. The results of the WAI reveal that CRF had a lower yield (0.63), risk-averse (0.70), and no cash compensation (0.62), whereas ORF had a higher price (0.82) and organic farming lifestyle (0.83). The ORF farmers also still have a strong positive belief in organic farming for the future, even though they lack organic fertilizer resources and certification. The strategies for adopting ORF are infrastructure improvement and community empowerment, compensation and incentive strategy, more intensive socialization, provision of assistance and training related to ORF, marketing facilitation, and subsidies on the prices and certification of organic rice.
The Indonesian rice production balance has managed to show a slightly consistent surplus recently, in the period of 2010 to 2021, but the country has continued to import rice to secure its rice reserve. The country has also made some efforts to increase its domestic rice production and, at the same time, faced ecological, socio-cultural, economic, institutional, and technological sustainability challenges. Previous studies on rice sustainability have shown varied results on the sustainability statuses and sensitive factors in Indonesia, yet there have been limited studies identifying key factors systematically. To provide more solid empirical evidence on this subject, a study to expand the scope to other sites with an additional analysis of the key factors is perceivably needed. This study aims to verify the sustainability status and identify sensitive factors as well as key factors for increasing rice production. The primary data were collected by interviewing officials from various agencies at the central and regional levels and several discussion groups of 40 participants, including farmers. In addition, secondary data were also collected from various ministries/agencies at the central and regional levels. Data analyses use a set of indicators, i.e., the Multidimensional Scaling (MDS) approach and the Matrix of Cross Impact Multiplications Applied to Classification (MICMAC) approach. The results show that the multidimensional sustainability status of increasing rice production in Bandung district is moderate, whereas sustainability status per dimension shows variations from poor to moderate. Fourteen out of 50 attributes are identified as sensitive factors influencing the sustainability of rice production. Six key factors are found to influence the sustainability of rice production. The study concludes that the sustainability status of increasing rice production in Bandung district is moderate, with variation across dimensions. The sustainability of increasing rice production in the study site is influenced by those 14 sensitive factors and those six key factors. This study recommends a number of major policies/programs to increase the sustainability of rice production, which are as follows: implementation of the Regional Spatial Plan, promotion of the application of best practices of farming management (organic fertilizers and pesticides), promotion of the use of agricultural machinery, and provision of farmer assistance for pre-harvest and postharvest production facilities, as well as farm financing. Future research should expand study sites to some other rice production centers with different attributes to enrich our understanding of the subject of rice sustainability.
Penelitian ini bertujuan untuk mengimplementasikan sebuah Sistem Pengolahan Citra Digital menggunakan perangkat Android untuk menentukan bobot sapi secara praktis dengan menggunakan metode Canny edge detection. Data ini diperoleh dari studi pustaka, penelitian lapangan, dan wawancara . Hasil penelitian ini menunjukkan bahwa implementasi pengolahan citra untuk menghasilkan penentuan bobot sapi menggunakan rumus Schoorl, diperoleh rata – rata error yang dihasilkan adalah 7,176 kg, dan rata – rata berat 10 ekor sapi tersebut adalah 185 kg. Sehingga tingkat akurasi hasil penelitian adalah 50,258%.
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