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Your search keyword '"Elza Surmaini"' showing total 4 results
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4 results on '"Elza Surmaini"'

1. Multisource spatiotemporal analysis of cropping patterns on dry upland: A case study in Rubaru Sub-district, Sumenep Regency

Author

Fadhlullah Ramadhani, Elza Surmaini, Ai Dariah, Yayan Apriyana, Woro Estiningtyas, Erni Susanti, Rahmah Dewi Yustika, Yeli Sarvina, Yudi Riadi Fanggidae, and Nurjaya Nurjaya

Subjects
Classification, Cropping pattern, Dry upland, Multisource remote sensing, Spatio-temporal, Geodesy, QB275-343
Abstract

Dry upland agriculture is vital for securing food production in several countries. However, the research on evaluating cropping patterns using remote sensing techniques is completely neglected due to several factors such as the availability of clean imagery and the complexity of the landscape. This research primarily focused on the evaluation of data availability from three different satellite imageries: Sentinel-2, Landsat-8, and MODIS. The consistently high data availability demonstrated by Sentinel-2 established its potential as a reliable source for gap-filling analysis in remote sensing studies. Using a classification model, various land cover types were identified with an overall accuracy of 86.4%, indicating the model's efficiency in accurately classifying these areas. This research also analyzed the detailed cropping patterns, revealing seven distinct temporal cultivation patterns of various crops. This period is strategically positioned between the cultivation of maize, which spans an area of 5,943 ha in December, January, and February, suggesting a potential crop rotation system. The rotation indicated that nearly 83.7% of the cultivated land was planted between maize and shallot throughout the year. The study emphasizes the significance of continuous monitoring and adaptive management in agriculture to ensure sustainability and productivity.

Published
2024
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3. Integrating Indigenous and Scientific Knowledge for Decision Making of Rice Farming in South Sulawesi, Indonesia

Author

Syahrul Limpo, Imam Fahmid, Abdul Fattah, Abdul Rauf, Elza Surmaini, null Muslimin, null Saptana, Haris Syahbuddin, and Kuntoro Andri

Subjects
Renewable Energy, Sustainability and the Environment, Geography, Planning and Development, Building and Construction, Management, Monitoring, Policy and Law, Tudang Sipulung, indigenous knowledge, decision making, scientific, rice farming, planting time
Abstract

Agricultural activities cannot be separated from indigenous knowledge (IK), which has developed and continues to be strongly maintained by Bugis–Makassar farmers in the face of rapidly developing science and technology. The objective of this study was to explore the IK practices in rice cultivation of the Bugis–Makassar farmer community, as well as the process of integrating IK and scientific knowledge into decision making. The study used a number of qualitative methodologies to gather information, including meetings, focus group discussions, in-depth interviews, and semi-structured interviews. Our results show that IK is slowly disappearing and being replaced by middle-aged people and youth, who seem to care more about modernization than assimilation. However, with the existence of Tudang Sipulung, the fading of local wisdom may be inhibited. Tudang Sipulung’s strength lies in the government’s involvement in integrating IK and scientific knowledge into formal forums and agreement. The Tudang Sipulung agreement is formally binding with constitutional sanctions applied. In order to provide optimum benefits, engaging young farmers in the understanding and preservation of indigenous and scientific knowledge is recommended to preserve local culture and transfer modern technology.

Published
2022
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4. The projection of rice production in Java Island to support Indonesia as the world food granary

Author

Aji Linarko, Muhammad Ridho Syahputra, Elza Surmaini, Erni Susanti, Ardhasena Sopaheluwakan, and Elsa Rakhmi Dewi

Subjects
Wet season, Environmental sciences, Geography, Dry season, Production (economics), GE1-350, Granary, Crop simulation model, Agricultural productivity, Projection (set theory), Productivity, Agricultural economics
Abstract

The use of climate projections such as Cordex-SEA with crop simulation models can determine the projections of rice productivity in the future especially to meet the Indonesian vision as world food granary by 2045.This study aimed to 1) evaluate the projection of rice productivity and 2) compile a map of projected changes at the district level in Java Island in 2021-2035 and 2036-2050 for the RCP4.5 and RCP8.5 scenarios. The Agricultural Production System Simulator (APSIM) results based on the CSIROMK3.6 climate projection model for both scenarios in 2021-2035 showed that the impact of high productivity was high during the rainy season compared to the dry season. Districts with the increase of productivity indicate that these areas can be maintained or developed for rice crop. For the RCP4.5 scenario (rainy season) in the irrigated area, 41 districts out of 191 districts in Java Island had the class of up-high productivity changes. For the period of 2036 to 2050, there were fewer districts that had up-high productivity changes. The APSIM simulation results using HadGEM2 climate projections indicated more districts had decreased productivity in both year periods for both scenarios.

Published
2021

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