Open Access
Issue
E3S Web Conf.
Volume 316, 2021
2nd International Conference on Agribusiness and Rural Development (IConARD 2021)
Article Number 02003
Number of page(s) 14
Section Agricultural Economic
DOI https://doi.org/10.1051/e3sconf/202131602003
Published online 05 November 2021
  1. Badan Pusat Statistik. Data produksi, luas panen dan produktivitas bawang merah nasional, 1970-2019. Jakarta, Indonesia (2020). [Google Scholar]
  2. A.R. Yanuarti & M.D. Afsari. Profil komoditas barang kebutuhan pokok dan barang penting - Bawang merah, Direktorat Jenderal Perdagangan Dalam Negeri Kementerian Perdagangan (2016). [Google Scholar]
  3. C. Hermanto. Bawang merah: Kebutuhan, produksi, dan supply chains, teknologi produksi bawang merah saat ini dan ke depan, Materi presentasi disampaikan pada Workshop Capacity Building and TSS Technology Adoption, Ewindo, Purwakarta (2019). [Google Scholar]
  4. H.F. Aldila, A. Fariyanti & N. Tinaprilla. Analisis profitabilitas usahatani bawang merah berdasarkan musim di tiga kabupaten sentra produksi di Indonesia, SEPA, 11(2), hal. 249–260 (2015). [Google Scholar]
  5. L.T.W. Astuti, A. Daryanto, Y. Syaukat & H.K. Daryanto. Analisis resiko produksi usahatani bawang merah pada musim kering dan musim hujan di Kabupaten Brebes, Jur. Ekon. Pert. dan Agrib. (JEPA), 3(4), pp. 840–852 (2016). [Google Scholar]
  6. K. Fuglie, M. Gautam, A. Goyal & W.F. Maloney. Harvesting prosperity -Technology and productivity growth in agriculture 2020, International Bank for Reconstruction and Development/The World Bank (2020). [Google Scholar]
  7. O. Adedoyin, M.N. Shamsudin, A. Radam & I. AbdLatif. Effect of improved high yielding rice variety on farmer’s productivity in Mada, Malaysia Int. J. Agric. Sci. & Vet. Med., 4(1), pp. 38–52 (2016). [Google Scholar]
  8. M. Qaim. Role of new plant breeding technologies for food security and sustainable agricultural development, App. Econ. Pers. and Pol., 42(2), pp. 129–150. DOI: 10.1002/aepp.13044 (2020). [Google Scholar]
  9. L. van den Brink & R.S. Basuki. Production of True Seed Shallots in Indonesia, Acta Hort., 958, pp. 115–120 (2012). [Google Scholar]
  10. A. Wulandari, D. Purnomo & Supriyono. Potensi biji botani bawang merah (True Shallot Seed) sebagai bahan tanam budidaya bawang merah di Indonesia, EL-VIVO, 2(1), hal. 28–36 (2014). [Google Scholar]
  11. O. Askari-Khorasgani & M. Pessarakli. Agricultural management and environmental requirements for production of true shallot seeds - A review, Adv. in Plants & Agric. Res., 9(2), pp. 318–322 (2019). [Google Scholar]
  12. G.A. Sopha, N. Sumami, W. Setiawati & Suwandi. Teknik penyemaian benih True Shallot Seed untuk produksi bibit dan umbi mini bawang merah, J. Hort. 25(4), hal. 318–330 (2015). [Google Scholar]
  13. I.G.A.M.S. Agung & J.W. Diara. Pre-sowing treatment enhanced germination and vigour of True Shallot (Allium cepa var. aggregatum), Seeds, Int. J. of Envir., Agric. and Biotech. (IJEAB), 2(6), pp. 3262–3267 (2017). [Google Scholar]
  14. S. Swastika, R. Yusuf & I. N. Istina. Development prospect of shallot from true shallot seed as planting material based on land suitability in Kampar regency, Riau province. Proceeding of Innovation of Environmental-Friendly Agricultural Technology Supporting Sustainable Food Self-Sufficiency, September 18th-20th, Surakarta, Indonesia, ISBN 978-602-344-252-2, DOI: 10.5281/zenodo.3345882 (2018). [Google Scholar]
  15. N. Sumarni. Respons tanaman bawang merah asal biji True Shallot Seeds terhadap kerapatan tanaman pada musim hujan, J. Hort., 22(1), hal. 45–52 (2012). [Google Scholar]
  16. R. Rosliani, Y. Hilman, I.M. Hidayat & I. Sulastrini. Teknik produksi umbi mini bawang merah asal biji (True Shallot Seed) dengan jenis media tanam dan dosis NPK yang tepat di dataran rendah, J. Hort., 24(3), hal. 239–248 (2014). [Google Scholar]
  17. N. Khoyriyah, T. Ekowati & S. Anwar. Strategi pengembangan umbi mini bawang merah True Shallot Seed di Kabupaten Grobogan, Jur. Ekon. Pert. dan Agrib. (JEPA), 3(2), hal. 278–293 (2019). [Google Scholar]
  18. P.R. Pratiwi, S.I. Santoso & W. Roessali. Tingkat adopsi teknologi True Shallot Seed di Kecamatan Klambu, Kabupaten Grobogan, AGRARIS: J. of Agrib. and Rur. Dev. Res., 4(1), hal. 8–19 (2018). [Google Scholar]
  19. W. Roessali, E.D. Purbajanti & T. Dalmiyatun. The adoption behaviour and its influenced factors of true shallot seed technology in Central Java, IOP Conference Series: Earth and Environmental Science, 250(1). DOI: 10.1088/1755-1315/250/1/012072 (2019). [Google Scholar]
  20. W. Adiyoga, R. Rosliani, A. Sembiring, N. Khaririyatun dan M. Prathama. Analisis sosial-ekonomi dan perilaku petani dalam pengambilan keputusan adopsi inovasi bawang merah asal biji botani (TSS), Laporan Penelitian APBN Th. 2019/No. 1804.208.053.A.3, Balai Penelitian Tanaman Sayuran (2019). [Google Scholar]
  21. B. Sayaka, S.M. Pasaribu, S. Kristiantoadi. Prospect for farmers’ adoption of True Shallot Seed, For. Penel. Agro Ekon., 38(1), pp. 53–66 DOI: http://dx.doi.org/10.21082/fae.v38n1.2020.53-66 (2020). [Google Scholar]
  22. P. Karolina & M. Kołodziejczak. The role of agriculture in ensuring food security in developing countries: Considerations in the context of the problem of sustainable food production, Sustainability, 12, 5488; DOI: 10.3390/su12135488, pp. 1–20 (2020). [Google Scholar]
  23. K. Ogundari & O.D. Bolarinwa. Impact of agricultural innovation adoption: a meta-analysis, Aust J. of Agric. and Res. Econ., 59, pp. 1–20 (2018). [Google Scholar]
  24. S. Yokamo. Adoption of improved agricultural technologies in developing countries: Literature review, Int. J. of Food Sci. and Agric., 4(2), pp. 183–190 (2020). [Google Scholar]
  25. O. Montes de Oca Munguia, D.J. Pannell & R. Llewellyn. Understanding the adoption of innovations in agriculture: A review of selected conceptual models, Agronomy, 11, 139. https://doi.org/10.3390/agronomy1101013 (2021). [Google Scholar]
  26. C. Roussy, A. Ridier & K. Chaib. Farmers’ innovation adoption behavior: Role of perceptions and preferences, Int. J. of Agric. Res., Gov. and Ecol., 13 (2), pp. 138–161 DOI: 10.1504/IJARGE.2017.086439 (2017). [Google Scholar]
  27. K.A. Mottaleb. Perception and adoption of a new agricultural technology: Evidence from a developing country, Tech. in Soc. 55, pp. 126–135 (2018). [Google Scholar]
  28. B.W. Feyisa. Determinants of agricultural technology adoption in Ethiopia: A meta-analysis, Cogent Food & Agric., 6(1), 1855817, DOI: 10.1080/23311932.2020.1855817 (2020). [Google Scholar]
  29. M. Mwangi & S. Kariuki. Factors determining adoption of new agricultural technology by smallholder farmers in developing countries, J. of Econ. and Sust. Dev., 6(5), pp. 208–216 (2015). [Google Scholar]
  30. E.M. Rogers. Diffusion of Innovations, Fifth edition, New York: Free Press (2003). [Google Scholar]
  31. J. Sok, J. R. Borges, P. Schmidt & I. Ajzen Farmer behaviour as reasoned action: A critical review of research with the Theory of Planned Behaviour. J of Agric Econ., 72(2), pp. 388–412. DOI: 10.1111/1477-9552.12408 (2021). [Google Scholar]
  32. S. Mannan, S. Md. Nordin, & S.R. Galea. Influence of innovation attributes and communication channels on new fertilizer technology adoption by paddy farmers, Aust. J. of Basic and App. Sci., 9(19), pp. 109–117 (2015). [Google Scholar]
  33. D. Gandasari, Dayat, D. Dwidienawati, & L.S. Wahyuni. Analysis of innovation attributes in the innovation adoption of agricultural mechanization technology in farmers, J. of Dev. Comm., 19(1), pp. 38–51 (2020). [Google Scholar]
  34. L. Zamzami, A. Sugiyatno, & Harwanto. Innovation characteristics and adoption opportunity of Bujangseta technology for tangerine farming, Caraka Tani: J. of Sust. Agric., 36(1), pp. 144–154 (2021). [Google Scholar]
  35. H.A. Tanye. Perceived attributes of innovation: Perceived security as an additional attribute to Roger’s diffusion of innovation theory, Int. J. of Multicultural and Multi-religious Understanding (IJMMU), 3(6), pp. 6–18 (2016). [Google Scholar]
  36. G. Vagnani & L. Volpe. Innovation attributes and managers’ decisions about the adoption of innovations in organizations: A meta-analytical review, Int. J. of Innov. Stu., 1, pp. 107–133 (2017). [Google Scholar]
  37. S.B. Ja’far, A. Abdullah, M.I.A. Dagong, M. Azhar, S. Sohrah. Effect of attitude, subjective norm and behavior control on technology adoption rate of goat farmer, Adv. in Envir. Biol., 11(12), pp. 26–30 (2017). [Google Scholar]
  38. J. Wang, M. Chu, C. Yang, H. Lam & J. Tang. Determinants of pesticide application: An empirical analysis with Theory of Planned Behavior, China Agric. Econ. Rev., 10(4), pp. 608–625. https://doi.org/10.1108/CAER-02-2017-0030 (2018). [Google Scholar]
  39. N.C. Akyüz & L. Theuvsen. The impact of behavioral drivers on adoption of sustainable agricultural practices: The case of organic farming in Turkey, Sustainability, 12, 6875; DOI: 10.3390/su12176875, pp. 1–20 (2020). [Google Scholar]
  40. M. Bujar, N. McAuslane, S. Walker & S. Salek. The reliability and relevance of a quality of decision making instrument, Quality of Decision Making Orientation Scheme for use during the life cycle of medicines, Front. Pharmacol., 10(17) (2019) [Google Scholar]
  41. R.J. Farquharson, R.J. Martin, F. Scott, C. Phaloeun, H. Sophors, S. Sinath, C. Monida, S. Sinarong & B. Sokun. Characteristics of an agricultural innovation and incentives for adoption: Rhizobium in Cambodia, Int. J. of Envir. and Rur. Dev., 4(2), pp. 44–49 (2013). [Google Scholar]
  42. A.J. Lamm, L.A. Warner, M.R. Taylor, E.T. Martin, S. White & P. Fisher, P. Diffusing Water conservation and treatment technologies to nursery and greenhouse growers. J. of Int. Agric. and Ext. Educ., 24(1), pp. 105–119. DOI: 10.5191/jiaee.2017.24110 (2017) [Google Scholar]
  43. J.J. Hyland, K. Heanue, J. McKillop, E. Micha. Factors underlying farmers’ intentions to adopt best practices: The case of paddock based grazing systems, Agric. Syst., 162. pp. 97–106. (2018). [Google Scholar]

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