Indonesia is one of the most important centers for biodiversity in the world with the highest level of endemism. Meanwhile, tourism is one of the important and strategic economic sectors in the future. It is hoped that the development of the tourism industry will also be able to support efforts to conserve nature, biological wealth, and national cultural wealth. The identification and development planning of the tourism industry needs to be done in more detail and carefully. In this article, the identification and prediction model of support from the local government and the community in developing agro-tourism was proposed. The prediction model was built using the Adaptive Neuro-Fuzzy Inference System (ANFIS) method. Data were taken from 56 community members as respondents around the agro-tourism area. The results of modeling using the ANFIS method showed satisfactory results with an accuracy of 98.89%. The support of the local government and the surrounding community for the development of community-based agro-tourism is still considered not optimal. There needs to be a synergy between the two with various recommendations for more realistic development support.
One of the reasons for the shrinkage of agricultural land in Indonesia is the existence of a system for inheritance and conversion of agricultural land which generally occurs on productive lands. If this condition continues, it will certainly become a serious threat to national food availability. This study aims to determine the extent of land fragmentation that occurs and measure the level of welfare of shallot farmers. The research method used is the descriptive qualitative method with the technique of determining respondents using snowball sampling. The analytical technique used is a descriptive approach and uses welfare indicators from the National Population and Family Planning Agency (BKKBN). Based on the results of the study, land fragmentation in shallot farmers occurs through a system of inheritance, buying and selling, and land renting. Land fragmentation through inheritance is the most common and the largest area of inherited land comes from the wife's family with an average land area of 1.19. The highest level of welfare of shallot farmers was obtained at the prosperous family stage I with a percentage of 37.04%, for the pre-prosperous family stage with a percentage of 33.33%, and the lowest results were obtained at the prosperous family stage with a percentage of 29, 63%.
31 October 2018 in JFMR-Journal of Fisheries and Marine Research
PENGARUH PEMBERIAN EKSTRAK KASAR KULIT BUAH NAGA (Hylocereus costaricensis) TERHADAP HISTOPATOLOGI HATI IKAN NILA (Oreochromis niloticus) YANG TERINFEKSI Aeromonas hydrophila
Tanaman sacha inchi berpotensi dikembangkan secara ekonomi dengan melihat berbagai peluang manfaat bagi kesehatan, sector industry makanan, dan farmasi. Namun bukan karena belum begitu marak dibudidayakannya tanaman ini tetapi masyarakat masih belum memahami peluang-peluang komersial dan manfaat serta peluang produk turunan dari tanaman ini. Tema dari kegiatan pengabdian yaitu menggali potensi ekonomi dari pengembangan tanaman sacha inchi. Peningkatan pengetahuan, pemahaman dari potensi ekonomi tanaman sacha inchi dengan berbagai produk turunannya merupakan maksud dari kegiatan pengabdian ini. Metode dalam kegiatan pengabdian dengan menggunakan pendekatan edukasi, ceramah, penyuluhan melalui focus group discussion yang interaktif. Hasil akhir dari kegiatan ini para peserta berperan aktif dalam kegiatan melalui diskusi interaktif dan diperolehnya pengetahuan dan pemahaman yang lebih dari sebelum dilakukan kegiatan ini.
Background: The sacha inchi plant contains nutrients that are beneficial for health, cosmetics, and food products, so it has the potential to be developed economically. The development of sacha inchi involves agricultural technology, which includes the treatment of fertilizer types that need to be studied in maintaining production and productivity. Objectives: This study aims to analyze the optimal type of fertilizer treatment on crop yields and the influence of farmers’ perceptions of socio-economic factors in the development of sacha inchi plants so that an optimal sacha inchi development prediction model is formed. Methods: The partial least squares structural equation modeling (PLS-SEM) method was applied in the study to analyze the effect of perception of socio-economic factors, and the adaptive neuro-fuzzy inference system (ANFIS) method was applied to predict the optimal fertilizer treatment model. Findings: The results of the PLS-SEM analysis showed that farmers’ perceptions of sacha inchi cultivation considered economic factors at a percentage of 50.66% and social factors at a percentage of 49.33% and had a linear relationship with the economic development of sacha inchi with a value of 0.832, although simultaneously, 77.7% was influenced by economic factors and social factors, and 22.3% was influenced outside these two factors. The ANFIS prediction results reinforced the results of the analysis, which stated that fertilizer treatment based on sacha inchi plant waste in the form of seed shells produced greater harvest weight compared with goat manure fertilizer. If farmers wanted to use a combination fertilizer, the used composition was 80% sacha inchi seed shell waste and 20% goat manure fertilizer or other materials; if the used composition was otherwise, the yield tended to decrease. This research contributes to the theory of production sustainability by integrating the optimal fertilization factor as a decision support unit in the model. Practically, this study recommends the application of fertilizer from the basic ingredients of sacha inchi seed shells to create a sustainable sacha inchi processing industry that ensures production stability, strengthens the agribusiness ecosystem, and develops the economic potential of sacha inchi and reduces the operational costs of sacha inchi farming by reducing the cost of purchasing fertilizer and supporting the circular economy model.
About Me
Sri Ayu Andayani, lecturer and researcher, Universitas Majalengka
Sri Ayu Andayani, lecturer and researcher, Universitas Majalengka