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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Asian Journal of Agriculture Jurnal Tanah dan Iklim Buitenzorg: Journal of Tropical Science
Aris Pramudia
Balai Penelitian Agroklimat dan Hidrologi, Bogor
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Health Professions

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Farmer adaptation strategy in paddy field affected by climate variability in monsoon regions APRIYANA, YAYAN; SARVINA, YELI; DEWI, ELSA RAKHMI; PRAMUDIA, ARIS
Asian Journal of Agriculture Vol 1 No 01 (2017)
Publisher : Society for Indonesian Biodiversity & Universitas Mulawarman, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/asianjagric/g010103

Abstract

Apriyana Y, Sarvina Y, Dewi ER, Pramudia A. 2017. Farmer adaptation strategy in paddy field affected by climate variability in monsoon regions. Asian J Agric 1: 9-16. Adaptation of agriculture cultivation to climate variability and climate anomalies both in paddy field especially in monsoon regions is one of the strategies to minimize the impact of these two phenomena to reduce the economic loss, particularly for food security in Indonesia. The objectives of this study are: (i) to identify onset and cropping pattern in irrigated land, rainfed and dry land in affected area due to climate anomalies, (ii) to collect information on carrying capacity water resources and adaptation practices applied by farmers and, (iii) to identify strategies for farmers on irrigated land, rainfed and dry land in the region affected by climate variability. The desk work analysis and field survey were conducted in Serang District, Banten Province, Subang District, West Java Province and Pati District, Central Jawa Province, Indonesia. The study was undertaken in three cluster activities i.e. (i) correlation analysis of climate anomalies and rainfall, (ii) field survey and, (iii) analysis of onset planting season, cropping pattern, water availability, the best planting time and irrigation schedule. The results showed that the farmers in affected area due to climate variability could adapt by shifting the onset of planting season. Farmers in irrigated lands changed their onset around 2-4 ten-days period to October II - December II. Furthermore, in rainfed areas, the onset around 4-6 ten-days period was shifted to November I - January III. For dry land their onset around 6-8 ten-days period was moved to November II - February I. The cropping pattern rice-rice-palawija/fallow was applied on irrigated land. Furthermore, the pattern of rice-rice/palawija/fallow-fallow was carried out in rainfed. Finally, the pattern of palawija-palawija/fallow-dormant was performed on the dry land. Adaptation programs dealing with climate variability in Serang and Pati Districts varied more than in Subang District. In Serang and Pati, during the first planting season, farmers applied irrigation roughly 20%-30% of water pump from the river and during second planting season, farmers in Pati District used water from well-pump, as well as in Serang that can reach 100% of the application.
RAINFALL PREDICTION MODELING USING NEURAL NETWORK ANALYSIS TECHNICS AT PADDY PRODUCTION CENTRE AREA IN WEST JAVA AND BANTEN PRAMUDIA, ARIS; KOESMARYONO, Y; LAS, IRSAL; JUNE, T; ASTIKA, I WAYAN; RUNTUNUWU, ELEONORA
Jurnal Tanah dan Iklim (Indonesian Soil and Climate Journal) No 27 (2008): Juli 2008
Publisher : Balai Besar Penelitian dan Pengembangan Sumberdaya Lahan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jti.v0n27.2008.%p

Abstract

Rainfall fluctuates with time and changes randomly, which unfavorable for most of the cropping, such as paddy. An early warning system is required to ensure a productive paddy cropping system. This paper describes the rainfall prediction modelling using a neural network analysis at paddy production centre area in the northern coast of Western Java and Banten. Rainfall data from Baros in the northern coast of Banten, Karawang, and Kasomalang Subang in the northern coast of West Java have been used for setting and validating the model. The model provides rainfall prediction for the next three months (Y=CHt+3), using the inputs data of the number of month (X1=t), the rainfall at the current month (X2=CHt), the rainfall atthe following month (X3=CHt+1), the rainfall at the following two months (X4=CHt+2), the southern ossilation index (SOI) at the current month (X5=SOIt) and the NINO-3,4 sea surface temperature anomaly at the current month (X6=AnoSSTt). Rainfall data recorded in the 1990-2002 period have been used for composing the model, and those in the 2003-2006 periods have been used for validating the model. The validated model has been used to predict rainfall in the 2007-2008. The best modelare those that using a combination of those six input variables. These models are able to explain 88-91% of the data variability with 4-8 mm month-1 of the maximum prediction error. At Baros Serang, the predicted rainfall in the 2007-2008 periods will be varied from Normal to Above Normal. At Karawang and Kasomalang Subang, predicted rainfall will be high at the end of 2007 until early 2008, and then will be low in the middle of 2008 and increases at the end of 2008.
Penerapan konsep hari derajat tumbuh untuk menentukan jadwal panen mangga yang optimal di Situbondo Pramudia, Aris; Affandi; Marta, Nini
Buitenzorg: Journal of Tropical Science Vol 1 No 1 (2024): Buitenzorg: Journal of Tropical Science
Publisher : Innovation Centre for Tropical Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70158/buitenzorg.v1i1.2

Abstract

Determining the optimal harvest time for an agricultural commodity can be achieved by applying the concept of growing degree days (GDD). The purpose of this research is to determine the potential time of flowering to harvest, especially in developing Arumanis 143 mango cultivation off-season. The study was conducted at the Arumanis 143 mango plantation, owned by PT. Trigatra Rajasa, in Ketowan Village, Arjasa District, Situbondo Regency. The simulation method used in this research was calculating the cumulative GDD using daily average temperature data and the base temperature of mango at 10 °C. The simulation assumed a cumulative value of 543ºC at the beginning of the flowering phase, a value of 945ºC at the beginning of the fruiting phase, and a value of 2,942ºC at the harvest time for export quality. The simulation results indicated that during on-season conditions, mango flowers usually appeared between the third 10 days of May to the third 10 days of June (May III-June III), originating from shoots that emerged between April III to May III. The fruit emergence was estimated to occur around June II-July II, and harvest time around October II-November II. In off-season conditions, the initial emergence of shoots, flowers, fruit, and mango harvest was estimated to occur sequentially around March I-III, April I-III, April III-May II, and August III-September II. The simulation results suggested that the duration of fruiting is longer (20-30 days) compared to existing conditions, resulting in a delay of 20-30 days in fruit harvesting. This research emphasizes the importance of identifying the correct harvest time based on the growth phenology of Arumanis 143 mango plants.   Keywords: fruiting duration, growing degree days, harvest time, mango
Rainwater harvesting and water-saving irrigation for enhancing land productivity in upland rice cultivation Heryani, Nani; Kartiwa, Budi; Rejekiningrum, Popi; Pramudia, Aris; Sosiawan, Hendri
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 51 No. 3 (2023): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/jai.v51i3.50325

Abstract

The development of dry land requires precise planning due to its climate-sensitive nature. It is essential to ensure water availability to meet crop water requirements. Rainwater harvesting remains underutilized in upland rice cultivation. The field experiment was conducted in Tulungagung Regency, East Java province, Indonesia from August to December 2017. The research aimed to develop water harvesting technology and irrigation management for upland rice. The nested design was the experimental design with irrigation levels and varieties of upland rice treatments. Four irrigation levels were farmer's customs, 70%, 85%, and 100% of the crop water requirement, while the varieties were Situ Patenggang, Inpago-9, and Inpago-11. Our findings revealed that 70% of the crop water requirement was sufficient for upland rice cultivation in dryland. Crop yields were unaffected by the irrigation level. Differences among upland rice varieties were only significant on plant height character. There was an increased cropping index due to additional water sources in the last months of the dry season until the early rainy season. Rainwater harvesting can be adapted to climate change, especially in areas that often experience water shortages. Keywords: dry land, channel reservoir, irrigation level, crop water requirement
Co-Authors Affandi Budi Kartiwa DEWI, ELSA RAKHMI Eleonora Runtunuwu I Wayan Astika Irsal Las Marta, Nini Nani Heryani Popi Rejekiningrum Sarvina, Yeli Sosiawan, Hendri T JUNE Y KOESMARYONO YAYAN APRIYANA