Academic literature on the topic 'Meteorology, Agricultural – Indonesia – Java'

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Journal articles on the topic "Meteorology, Agricultural – Indonesia – Java"

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Gravitiani, Evi, and Suryanto Suryanto. "Valuing the Economic Impact of Flood Mitigationin Central Java, Indonesia." GATR Journal of Business and Economics Review 2, no. 1 (March 18, 2017): 49–55. http://dx.doi.org/10.35609/jber.2017.2.1(6).

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Objective - This research aims to map and identify the areas vulnerable to flood in Central Java Province, Indonesia, using Geography Information System (GIS) and value the economic impact on flood mitigation using Contingent Valuation Methods (CVM). Methodology/Technique - The data regarding geographical, demographical, socio-economic, and topographical condition collected from local governments in Central Java Province, Meteorology and Geophysics Board, the Statistical Bureau, and Planning and Development Boar. Findings - Spatial analysis with GIS provides evidence that Surakarta, Sragen, and Sukoharjo districts are more vulnerable to flood than other districts in Central Java Province. This evidence points the need to conduct a thorough study on these areas. Novelty - This research contributes to empirical study, methodology, and policy implications. Type of Paper: Empirical Keywords: Spatial Analysis; Flood Impact; Local Wisdom; Economic Valuation; Willingness to Pay. JEL Classification: C21, Q51, Q54.
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Ibrahim, Jabal Tarik, and Zul Mazwan M. "Structural Transformation of Agricultural Sector in East Java Indonesia." International Journal of Economics and Management Studies 7, no. 3 (March 25, 2020): 1–7. http://dx.doi.org/10.14445/23939125/ijems-v7i3p101.

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Sekaranom, Andung Bayu, Emilya Nurjani, and Fitria Nucifera. "Agricultural Climate Change Adaptation in Kebumen, Central Java, Indonesia." Sustainability 13, no. 13 (June 23, 2021): 7069. http://dx.doi.org/10.3390/su13137069.

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Productive agricultural areas in Kebumen, Central Java, Indonesia are potentially vulnerable to the adverse impacts of climate change. We surveyed small-scale farmers to assess climate change-related perceptions and adaptations in the agriculture sector. The majority of the respondents agreed that there were changes in climatological variables affecting their farming activities, especially in terms of precipitation and temperature. However, the results also revealed that only 13% of respondents believed that human activities play a significant role. Three forms of adaptations have been developed by the farmers, namely: (1) agricultural diversification, (2) agricultural intensification, and (3) socioeconomic adaptation. Changing crops to more climate-tolerant varieties was one of the most common agricultural diversification practices (implemented by 88% of farmers). Most of the farmers also tried to maintain agricultural productivity by adjusting a local planting calendar (implemented by 94% of farmers). The use of machinery to intensify farming practice was an uncommon strategy (implemented by only 30% of farmers) because of expensive maintenance and small cultivation areas. The results suggested the importance of increasing farmers’ knowledge and technological know-how related to climate change and its implications, developing effective adaptation and mitigation efforts, and constructing climate-resilient infrastructure in the agricultural sector.
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Yanai, Junta, Taichi Omoto, Atsushi Nakao, Kana Koyama, Arief Hartono, and Syaiful Anwar. "Evaluation of nitrogen status of agricultural soils in Java, Indonesia." Soil Science and Plant Nutrition 60, no. 2 (March 4, 2014): 188–95. http://dx.doi.org/10.1080/00380768.2014.891925.

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Supendi, Pepen, Supriyanto Rohadi, Dwikorita Karnawati, Andri Dian Nugraha, Sri Widiyantoro, Daryono, and Muzli. "Analysis of the destructive earthquakes end of 2017 (Mw 6.9) and early 2018 (Mw 6.1) south of West Java, Indonesia." E3S Web of Conferences 211 (2020): 02003. http://dx.doi.org/10.1051/e3sconf/202021102003.

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On December 15, 2017, and January 23, 2018, there were destructive earthquakes to the south of West Java, Indonesia, with Mw 6.9 and Mw 6.1, respectively. We have determined the hypocenter location for both mainshocks through re-picking of the Pand S-wave arrival times recorded by the Agency for Meteorology, Climatology, and Geophysics (BMKG) seismic stations in West Java and its vicinity. We have then relocated the aftershocks for both events. We have also conducted focal mechanism analysis to estimate the type of fault slip. Our results show the 2017 and 2018 events occurred in the intra-slab at 108.6 km and 46.5 km depths, respectively. The focal mechanism solution shows a thrust fault type with the strike direction almost perpendicular to the trench for the 2017 event, and it is almost parallel to the trench for the 2018 event.
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Önal, Hayri, Delima H. Darmawan, and Sam H. Johnson. "A multilevel analysis of agricultural credit distribution in East Java, Indonesia." Computers & Operations Research 22, no. 2 (February 1995): 227–36. http://dx.doi.org/10.1016/0305-0548(94)p3670-7.

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Ainun Harlin Jennie Pulungan, Nur. "Agricultural Cultivation Land on Landslides Deposit, Bogowonto Catchment, Central Java, Indonesia." Acta Scientific Agriculture 5, no. 9 (August 24, 2021): 30–37. http://dx.doi.org/10.31080/asag.2021.05.1054.

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Fauzia, Renata, and Soengwoo Lee. "THE IMPACT OF AGRICULTURAL PRODUCTIVITY ON RURAL TO URBAN MIGRATION IN JAVA, INDONESIA." Jurnal Tataloka 15, no. 4 (November 1, 2013): 235. http://dx.doi.org/10.14710/tataloka.15.4.235-247.

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This paper investigates if the improvement of agricultural productivity will decrease rural to urban migration. Since rural to urban migration occurs due mainly to disparity between urban and agricultural wage, we assume that boosting agricultural income will reduce migration to urban areas. It is hypothesized that increase in agricultural productivity would result in a rise in agricultural wage, and hence income, ceteris paribus, reduces rural-urban migration. The data used in this study is the 2010 provincial statistics in West Java, Central Java, and East Java, Indonesia. The agricultural productivity and migration equations were estimated by using Ordinary Least Squares (OLS). The research findings may offer the suggestion to reduce rural to urban migration by boosting rural income through focusing the policy on agricultural productivity. Enhancing investment in agricultural sector such as increasing the number of subsidized fertilizer, adding agricultural labor and livestock, increasing education of rural people, and utilizing agricultural land resource are expected to increase agricultural output.Thus, it would also minimize the wage differential between urban and rural area.
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Saparita, Rachmini. "PERKEMBANGAN KOMERSIALISASI PERTANIAN DI INDONESIA DAN PROYEKSINYA 2005-2050." Jurnal AGRISEP 4, no. 2 (September 1, 2005): 1–16. http://dx.doi.org/10.31186/jagrisep.4.2.1-16.

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This article identified the growth commercial agriculture through diversification of crops to predict the process of agricultural transformation in Indonesia. The result showed that the growth of commercial agriculture was varied. Some provinces, such as Jakarta, West Java, North and West Sumatera, Riau, Kalimantan, Midle and South Sulawesi, which had low index, commercialization worked well. The economic pattern of their farmer changed from subsistence to commercial. Agricultural development in those provinces entered to the growth and advanced stages of agricultural transformation. However, others provinces, which had high index, commercial agriculture worked poorly. For all provinces outside Java islands, the cause of those high indexes were predicted by several factors, such as lack of infrastructure, remote areas, and other limitations, so that business accesses to outside areas were not run well. For all provinces inside Java islands, the cause was predicted by the excessive of subsistence agriculture, so that commercial agriculture was delayed, while other areas were suited for various food crops type. From that situation it could be concluded that agricultural development was not spread equally for every province in Indonesia. Since agricultural development policies were such as the existing strategies, the growth of commercial agriculture were predicted would not affect the increase of farmer’s income, because the growth was not caused by transformation of agricultural economic pattern from subsistence to commercial, but was caused by agriculture household enlargement. Consequently, the government should apply land reform policy immediately.Key words: agricultural diversification, agricultural commercialization, agricultural transformation, and agricultural development
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Sahro, Hanifatus, S. Chen, and S. Sujarwo. "ANALYSIS OF SUPERIOR CROPS LOCATION IN EAST JAVA, INDONESIA." Agricultural Social Economic Journal 21, no. 1 (January 31, 2021): 51–58. http://dx.doi.org/10.21776/ub.agrise.2021.021.1.7.

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Regional development is an important aspect in improving the regional economy, and its relationship with the national economy. East Java Province is one of the regions with the most potential agricultural sector and is the highest national granary area in Indonesia. Maximizing the potential of the resources owned by East Java will accelerate the development process and increase the regional and national economy. For the economic growth,this study aims to examine the crops performance to estimate the pattern of regional economic growth in East Java. The time series data of East Java Central Bureau of Statistics from2008 to 2017 are adopted. The location quotient analysis and shift-share analysis with three indicators, namely regional economic growth, proportional shift growth, and differential shift, are used.The results showed that crops such as corn, green beans, peanuts, soybeans, rice, sweet potatoes, and cassava in 29 districts and 9 cities of East Java have crucial performance and economic growth patterns. As the results, to consider and identify priority policy plans to accelerate regional economic development and growth are suggested.
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Dissertations / Theses on the topic "Meteorology, Agricultural – Indonesia – Java"

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Axelsson, Tobias. "Peasants and policymakers : agricultural transformation in Java under Suharto /." Lund : Lund University, 2008. http://www.niaslinc.dk/gateway_to_asia/nordic_webpublications/x506044164.pdf.

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Mawardi, Muhjidin. "Irrigated agricultural system in Java, Indonesia : Profile and prospects in the future." Kyoto University, 2003. http://hdl.handle.net/2433/149034.

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陳秀容 and Xiurong Chen. "Regional imbalance in exploitation of natural resources for crop farming in Indonesia: a study in agriculturalgeography in Java, Sumatra and Kalimantan." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1991. http://hub.hku.hk/bib/B31232498.

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Chen, Xiurong. "Regional imbalance in exploitation of natural resources for crop farming in Indonesia : a study in agricultural geography in Java, Sumatra and Kalimantan /." [Hong Kong] : University of Hong Kong, 1991. http://sunzi.lib.hku.hk/hkuto/record.jsp?B13039064.

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RAHMAWATI, SUPHIA. "Risk assessment and environmental capacity of organochlorine pesticide pollution from agricultural activities at Citarum Watershed, West Java, Indonesia." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/170085.

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Barus, Baba. "Development of a framework for multi-scale agricultural sustainability assessment using GIS : a case study in West Java, Indonesia." Thesis, University of Portsmouth, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.404465.

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Smyth, Ines Alessandra. "The weaving of women's life : a case study of rural non-agricultural activities in a Sundanese village (west Java, Indonesia)." Thesis, University College London (University of London), 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.246608.

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Diana, Rahayuning Wulan. "Ecological Risk Assessment of a River Water on Agricultural Area in West Java Province, Indonesia and Comparison with Whole Effluent Toxicity Test." Doctoral thesis, Kyoto University, 2020. http://hdl.handle.net/2433/259035.

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京都大学
0048
新制・課程博士
博士(工学)
甲第22767号
工博第4766号
新制||工||1745(附属図書館)
京都大学大学院工学研究科都市環境工学専攻
(主査)教授 米田 稔, 教授 清水 芳久, 准教授 松井 康人
学位規則第4条第1項該当
Doctor of Philosophy (Engineering)
Kyoto University
DFAM
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Cahyono, Edi Dwi. "Challenges Facing Extension Agents in Implementing the Participatory Extension Approach in Indonesia: A Case Study of Malang Regency in the East Java Region." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1404402942.

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Suharno. "An Almost Ideal Demand System for Food." Doctoral thesis, 2002. http://hdl.handle.net/11858/00-1735-0000-0006-B062-C.

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Books on the topic "Meteorology, Agricultural – Indonesia – Java"

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Koyama, Osamu. Evaluation of vegetable-based farming systems and improvement of vegetables and fruit cultivation in Highland Regions of West Java, Indonesia. Tsukuba, Ibaraki, Japan: Japan International Research Center for Agricultural Sciences, 2005.

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Barus, Baba. Development of a framework for multi-scale agricultural sustainability assessment using GIS: A case study in West Java, Indonesia. Portsmouth: University of Portsmouth, 2003.

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Power, labor, and livelihood: Processes of change in rural Java. Berkeley: University of California Press, 1986.

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Peta agroekologi utama tanaman pangan di Indonesia. [Bogor]: Pusat Penelitian dan Pengembangan Tanaman Pangan, Badan Penelitian dan Pengembangan Pertanian, Departemen Pertanian, 1991.

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Rural Urban Integration in Java : Consequences for Regional Development and Employemnt: Consequences for Regional Development and Employemnt. Taylor & Francis Group, 2017.

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Book chapters on the topic "Meteorology, Agricultural – Indonesia – Java"

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Collier, William L. "Agricultural Evolution in Java." In Agricultural and Rural Development in Indonesia, 147–73. Routledge, 2019. http://dx.doi.org/10.4324/9780429048364-13.

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Prabowo, Dibyo, and Sajogyo. "Sidoarjo, East Java, and Subang, West Java." In Agricultural and Rural Development in Indonesia, 68–78. Routledge, 2019. http://dx.doi.org/10.4324/9780429048364-6.

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White, Benjamin. "Population, Involution, and Employment in Rural Java." In Agricultural and Rural Development in Indonesia, 130–46. Routledge, 2019. http://dx.doi.org/10.4324/9780429048364-12.

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Stoler, Anne L. "Garden Use and Household Economy in Java." In Agricultural and Rural Development in Indonesia, 242–54. Routledge, 2019. http://dx.doi.org/10.4324/9780429048364-20.

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King, Dwight, and Peter Weldon. "Income Distribution and Levels of Living in Java, 1963 and Beyond." In Agricultural and Rural Development in Indonesia, 115–24. Routledge, 2019. http://dx.doi.org/10.4324/9780429048364-10.

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Boer, Rizaldi, and Arjunapermal R. Subbiah. "Agricultural Drought in Indonesia." In Monitoring and Predicting Agricultural Drought. Oxford University Press, 2005. http://dx.doi.org/10.1093/oso/9780195162349.003.0037.

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Indonesia is the largest archipelago in the world and comprises 5 main islands and about 30 smaller archipelagos. In total, there are 13,667 islands and islets, of which approximately 6,000 are inhabited. The estimated area of the Republic of Indonesia is 5,193,250 km2, which consists of a land territory of slightly more than 2,000,000 km2 and a sea territory of slightly more than 3,150,000 km2. Indonesia’s five main islands are Sumatra (473,606 km2); Java and Madura (132,187 km2), the most fertile and densely populated islands; Kalimantan or two-thirds of the island of Borneo (539,460 km2); Sulawesi (189,216 km2); and Irian Jaya (421,981 km2), the least densely populated island, which forms part of the world’s second largest island of New Guinea. Of about 200 million ha of land territory, about 50 million ha area is devoted to various agricultural activities. There is nearly 20 million ha of arable land, of which about 40% is wetland (rice fields), 40% is dryland, and 15% is shifting cultivation. In the early 1970s, agriculture contributed about 33% to the gross domestic product. Its share decreased to 23% by the early 1980s and to 16.3% in 1996. However, agriculture is the most important sector in the national economy due to its capacity to employ 41% of the labor force (MoE, 1999). Agriculture is vulnerable to drought. Ditjenbun (1995) reported that in 1994 many seedlings and young plants died due to a long dry season: about 22% of tea plants at age of 0–2 years, 4–9% of rubber plants at age of 0–1 year, 4% of cacao plants at age of 0–2 years, 1.5–11% of cashew nut plants at age of 0–2 years, 4% of coffee plants at age of 0–2 years, and 5–30% of coconut plants at age of 0–2 years. The impact of a long dry season on yields of plantation crops becomes known only a few months later. For example, oil palm production is known 6–12 months after a long dry season (Hasan et al., 1998). Rice is the main food crop severely affected by drought.
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"Comparison of the Farming System and Carbon Sequestration between Conventional and Organic Rice Production in West Java, Indonesia." In Organic Agricultural Practices, 125–40. Apple Academic Press, 2014. http://dx.doi.org/10.1201/b17368-11.

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Muldiyanto, A., M. Handajani, and Supoyo. "Development of airports from the passenger demand side: A case study of Dewadaru Airport, Karimunjawa, Jepara city, Central Java, Indonesia." In Engineering, Information and Agricultural Technology in the Global Digital Revolution, 119–23. CRC Press, 2020. http://dx.doi.org/10.1201/9780429322235-25.

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Hondai, Susumu. "GROWTH AND INEQUALITY IN INDONESIA: CHARACTERISTICS OF THE POOR HOUSEHOLDS AND PROBABILITY OF SELECTING NON-AGRICULTURAL EMPLOYMENT IN JAVA." In Growth with Inequality, 161–80. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814401708_0008.

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Prasetyo, Lilik B., Chandra Irawadi Wijaya, and Yudi Setiawan. "Spatial Model Approach for Deforestation." In Geographic Information Systems, 1901–12. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch113.

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Java is very densely populated since it is inhabited by more than 60% of the total population of Indonesia. Based on data from the Ministry of Forestry, forest loss between 2000-2005 in Java was about 800,000 hectares. Regardless of the debate on whether the different methodologies of forest inventory applied in 2005 have resulted in an underestimation of the figure of forest loss or not, the decrease of forest cover in Java is obvious and needs immediate response. Spatial modeling of the deforestation will assist the policy makers in understanding this process and in taking it into consideration, when decisions are made on the issue. Moreover, the results can be used as data input to solve environmental problems resulting from deforestation. The authors of this chapter modeled the deforestation in Java by using logistic regression. Percentage of deforested area was considered as the response variable, whilst biophysical and socioeconomic factors, that explain the current spatial pattern in deforestation, were assigned as explanatory variables. Furthermore, the authors predicted the future deforestation process, and then, for the case of Java, it was validated with the actual deforestation derived from MODIS satellite imageries from 2000 to 2008. Results of the study showed that the impacts of population density, road density, and slope are significant. Population density and road density have negative impacts on deforestation, while slope has positive impact. Deforestation on Java Island tends to occur in remote areas with limited access, low density population and relatively steep slopes. Implication of the model is that the government should pay more attention to remote rural areas and develop good access to accelerate and create alternative non agricultural jobs in order to reduce pressure on the forest.
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Conference papers on the topic "Meteorology, Agricultural – Indonesia – Java"

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Supriatna, S., T. Taqyuddin, and A. A. Putri. "Agricultural landscape sustainability in Sinarresmi Indigenous Village, West Java, Indonesia." In PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2017 (ISCPMS2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5064179.

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"Accumulation of Lead (Pb) in Blood Clams. Anadara granosa L.. Inhabiting Densely Industrial Area in Sidoarjo. East Java. Indonesia." In 3rd International Conference on Chemical, Agricultural and Medical Sciences. International Institute of Chemical, Biological & Environmental Engineering, 2015. http://dx.doi.org/10.15242/iicbe.c1215023.

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Prasetyo, Kuncoro, Nurul Fatimah, Elsa Amanatin, Eka Yuniati, and Henry Sembada. "Agricultural Ethnography of Dieng Community: Local Knowledge of Dieng Wetan in Facing the Impact of Bun Upas on Agricultural Plants." In Proceedings of the 1st International Conference on Environment and Sustainability Issues, ICESI 2019, 18-19 July 2019, Semarang, Central Java, Indonesia. EAI, 2019. http://dx.doi.org/10.4108/eai.18-7-2019.2290312.

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Purba, Tommy, Helmi Helmi, Ferdinanta Sembiring, Deddy Siagian, Lermansius Haloho, Moral Girsang, and Khadijah Ramija. "Measuring The Effectiveness of Agricultural Mechanization Performance on Irrigated Rice Area in Batubara Regency." In 1st International Conference on Sustainable Management and Innovation, ICoSMI 2020, 14-16 September 2020, Bogor, West Java, Indonesia. EAI, 2021. http://dx.doi.org/10.4108/eai.14-9-2020.2304503.

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xia, Lao. "Research on the Planning and Design of Modern Agricultural Industrial Park in China as well as its Actuality." In Proceedings of First International Conference on Culture, Education, Linguistics and Literature, CELL 2019, 5-6 August, Purwokerto, Central Java, Indonesia. EAI, 2019. http://dx.doi.org/10.4108/eai.5-8-2019.2291046.

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Sastrawidana, I. Dewa. "Speciation of Lead (Pb) and Cadmium (Cd) in Agricultural Soil of Pancasari Village as A Vegetables Central Area of Bali, Indonesia." In Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.12-10-2019.2296458.

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Septiani, Findi, Siti Sriyati, and Amprasto Amprasto. "The Implementation of Learning Materials Based on Local Wisdom of Agricultural in Binjai to Improve the Students Problem Solving Abilities." In Proceedings of the 7th Mathematics, Science, and Computer Science Education International Seminar, MSCEIS 2019, 12 October 2019, Bandung, West Java, Indonesia. EAI, 2020. http://dx.doi.org/10.4108/eai.12-10-2019.2296323.

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