SUITABILITY ANALYSIS OF CLIMATE AND LAND BASED ON REMOTE SENSING DATA FOR PINEAPPLE (CASE STUDY IN SUBANG, WEST JAVA)

Pineapple is the fruit with the highest export commodity value and the biggest contributor to Indonesia foreign exchange value. The main producing area of pineapple in Indonesia is Subang Regency, West Java Province. However, pineapple production in Subang has not been maximized. This is due to clim...

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Main Author: Roma Yananda, Sujeki
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/38975
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:38975
spelling id-itb.:389752019-06-20T14:27:26ZSUITABILITY ANALYSIS OF CLIMATE AND LAND BASED ON REMOTE SENSING DATA FOR PINEAPPLE (CASE STUDY IN SUBANG, WEST JAVA) Roma Yananda, Sujeki Indonesia Final Project pineapple, Subang, remote sensing, climate and land suitability map, potential. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/38975 Pineapple is the fruit with the highest export commodity value and the biggest contributor to Indonesia foreign exchange value. The main producing area of pineapple in Indonesia is Subang Regency, West Java Province. However, pineapple production in Subang has not been maximized. This is due to climate influences, such as monsoon, ENSO, and local climate which is influenced by the topography of the study area. This problem can be overcome through mapping the climate and land suitability and the potential of pineapple to determine the most suitable pineapple planting area. However, due to limited observation data, remote sensing can be used to obtain better results. Therefore, this study will analyze the climate and land suitability and the potential of pineapple using remote sensing imagery in Subang. The processing of meteorological data began with determining the rainfall distribution to analyze the climate variabilities and the climate classification. Then the DEM data and land use were computed with scoring method to be combined with the results of meteorological data processing into a climate and land suitability map. The next method was the calculation of the pineapple land potential along with other plants in Subang. The result is that the climate type of Subang based on the Schmidt-Ferguson classification is type B, where the climate variabilities that affecting are monsoon, ENSO, and MJO. Climate and land suitability maps for pineapple plants show Subang region consisting of S2 (52%), S1 (19,3%), N1 (18,8%), and S3 (9,9%) classes. The distribution of pineapple in Subang is influenced by productivity and land suitability, where pineapple productivity is very high in light rainfall conditions. This is because the need for for water does not depend on direct rain but from groundwater contained in the soil. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Pineapple is the fruit with the highest export commodity value and the biggest contributor to Indonesia foreign exchange value. The main producing area of pineapple in Indonesia is Subang Regency, West Java Province. However, pineapple production in Subang has not been maximized. This is due to climate influences, such as monsoon, ENSO, and local climate which is influenced by the topography of the study area. This problem can be overcome through mapping the climate and land suitability and the potential of pineapple to determine the most suitable pineapple planting area. However, due to limited observation data, remote sensing can be used to obtain better results. Therefore, this study will analyze the climate and land suitability and the potential of pineapple using remote sensing imagery in Subang. The processing of meteorological data began with determining the rainfall distribution to analyze the climate variabilities and the climate classification. Then the DEM data and land use were computed with scoring method to be combined with the results of meteorological data processing into a climate and land suitability map. The next method was the calculation of the pineapple land potential along with other plants in Subang. The result is that the climate type of Subang based on the Schmidt-Ferguson classification is type B, where the climate variabilities that affecting are monsoon, ENSO, and MJO. Climate and land suitability maps for pineapple plants show Subang region consisting of S2 (52%), S1 (19,3%), N1 (18,8%), and S3 (9,9%) classes. The distribution of pineapple in Subang is influenced by productivity and land suitability, where pineapple productivity is very high in light rainfall conditions. This is because the need for for water does not depend on direct rain but from groundwater contained in the soil.
format Final Project
author Roma Yananda, Sujeki
spellingShingle Roma Yananda, Sujeki
SUITABILITY ANALYSIS OF CLIMATE AND LAND BASED ON REMOTE SENSING DATA FOR PINEAPPLE (CASE STUDY IN SUBANG, WEST JAVA)
author_facet Roma Yananda, Sujeki
author_sort Roma Yananda, Sujeki
title SUITABILITY ANALYSIS OF CLIMATE AND LAND BASED ON REMOTE SENSING DATA FOR PINEAPPLE (CASE STUDY IN SUBANG, WEST JAVA)
title_short SUITABILITY ANALYSIS OF CLIMATE AND LAND BASED ON REMOTE SENSING DATA FOR PINEAPPLE (CASE STUDY IN SUBANG, WEST JAVA)
title_full SUITABILITY ANALYSIS OF CLIMATE AND LAND BASED ON REMOTE SENSING DATA FOR PINEAPPLE (CASE STUDY IN SUBANG, WEST JAVA)
title_fullStr SUITABILITY ANALYSIS OF CLIMATE AND LAND BASED ON REMOTE SENSING DATA FOR PINEAPPLE (CASE STUDY IN SUBANG, WEST JAVA)
title_full_unstemmed SUITABILITY ANALYSIS OF CLIMATE AND LAND BASED ON REMOTE SENSING DATA FOR PINEAPPLE (CASE STUDY IN SUBANG, WEST JAVA)
title_sort suitability analysis of climate and land based on remote sensing data for pineapple (case study in subang, west java)
url https://digilib.itb.ac.id/gdl/view/38975
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