Land use/cover changes and spatial distribution pattern of rice field decreasing trend in Serang Regency, Banten Province

Pravitasari, Andrea Emma; Suhada, A.; Mulya, Setyardi Pratika; Rustiadi, Ernan; Murtadho, Alfin; Wulandari, Siti; Widodo, Candraningratri Ekaputri

doi:10.1088/1755-1315/399/1/012033

Cited by 16 publications

(22 citation statements)

References 11 publications

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“…ere have been many published articles on the conversion of agricultural land to nonagricultural use in Indonesia, especially in Java, but generally these cover only one administrative area, usually at the regency level [26][27][28]. Meanwhile, research that covers a larger area is scarce but includes one study that focuses solely on statistical evidence to describe the issue of agricultural land conversion and its consequences for regional spatial planning in West Java's north coast [29].…”

Section: Introductionmentioning

confidence: 99%

Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Province, Indonesia, Using Google Earth Engine and Intensity Analysis

Gandharum

Hartono

Karsidi

et al. 2022

The Scientific World Journal

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Uncontrolled urban expansion resulting from urbanization has a disastrous impact on agricultural land. This situation is being experienced by the densely populated and fertile island Java in Indonesia. Remote sensing technologies have developed rapidly in recent years, including the creation of Google Earth Engine (GEE). Intensity analysis (IA) is increasingly being used to systematically and substantially analyze land-use/land-cover (LULC) change. As yet, however, no study of land conversion from agriculture to urban areas in Indonesia has adopted GEE and IA approaches simultaneously. Therefore, this study aims to monitor urban penetration to agricultural land in the north coastal region of West Java Province by applying both methods to two time intervals: 2003–2013 and 2013–2020. Landsat data and a robust random forest (RF) classifier available in GEE were chosen for producing LULC maps. Monitoring LULC change using GEE and IA has demonstrated reliable findings. The overall accuracy of Landsat image classification results for 2003, 2013, and 2020 were 88%, 87%, and 88%, respectively. IA outputs at interval levels for all categories showed that the annual change-of-area rate was higher during 2013–2020 than during 2003–2013. At the category level, IA results showed that the area of agricultural land experienced net losses in both periods, with net loss in 2013–2020 being 2.3 times greater than that in 2003–2013 (∼1,850 ha per year). In contrast, the built-up area made net gains in both periods, reaching almost twice as much in the second period as in the first (∼2,030 ha per year). The transition-level IA performed proved that agricultural land had been the primary target for the expansion of built-up areas. The most extensive spatial distribution of land conversion from agriculture to built-up area was concentrated in the regencies of Bekasi, Karawang, and Cirebon. These findings are intended to provide stakeholders with enrichment in terms of available literature and with valuable inputs useful for identifying better urban and regional planning policies in Indonesia and similar regions.

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Section: Introductionmentioning

confidence: 99%

Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Province, Indonesia, Using Google Earth Engine and Intensity Analysis

Gandharum

Hartono

Karsidi

et al. 2022

The Scientific World Journal

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“…Hasil penelitian ini selaras dengan penelitian (Pravitasari et al, 2019), dimana aktivitas agrikultur yang mendominasi penggunaan lahan di Kabupaten Serang. Persentase penggunaan lahan yang digunakan dalam aktivitas agrikultur ini mencapai 71% terdiri dari yaitu sawah 39% dan lahan kering 32%.…”

Section: Penggunaan Lahanunclassified

Pemetaan Bahaya Tsunami Wilayah Kabupaten Serang Bagian Barat Menggunakan Sistem Informasi Geografis

Paramita

Wiguna²,

Shabrina³

et al. 2021

Bul. Oseano. Mar.

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Indonesia merupakan negara yang memiliki potensi tinggi akan kejadian tsunami. Salah satu wilayah tersebut adalah Kabupaten Serang bagian barat. Saat ini evolusi teknologi penginderaan jauh dan Sistem Informasi Geografis (SIG) dapat dimanfaatkan untuk membantu upaya mitigasi. Tujuan penelitian ini adalah untuk menganalisis potensi tsunami dan menyediakan peta bahaya tsunami sebagai salah satu upaya mitigasi bencana berbasis Sistem Informasi Geografis (SIG) berdasarkan panduan dari Badan Nasional Penanggulangan Bencana (BNPB). Metode yang digunakan dalam penelitian ini adalah metode matematis yang dikembangkan oleh Berryman-2006. Metode ini merupakan metode yang sederhana namun cukup akurat dalam memperkirakan daerah yang berpotensi terdampak tsunami. Data Digital Elevation Model (DEM) dan shapefile rupa bumi yang bersumber dari Badan Informasi Geospasial (BIG) Indonesia merupakan data utama yang digunakan. Hasil analisis menunjukkan bahwa potensi bahaya tsunami di Kabupaten Serang bagian barat terdiri dari 3 kelas yaitu kelas rendah, sedang, dan tinggi yang didominasi oleh kelas bahaya tinggi dengan total luas area terdampak sebesar 377,64 ha. Peta bahaya tsunami ini selanjutnya dapat dijadikan sebagai salah satu basis informasi dalam perencanaan mitigasi bencana di Kabupaten Serang. Indonesia is a country that has a high potential for tsunami events. One of these areas is the western part of Serang Regency. Currently, the evolution of remote sensing technology and Geographic Information Systems (GIS) can be utilized to assist mitigation efforts. The purpose of this study is to analyze the potential for tsunamis and provide a tsunami hazard map as one of the efforts to mitigate disasters based on Geographic Information Systems (GIS) based on guidelines from the National Disaster Management Agency (BNPB). The method used in this research is a mathematical method developed by Berryman-2006. This method is a simple but fairly accurate method for estimating areas potentially affected by a tsunami. Digital Elevation Model (DEM) data and the shapefile of the earth's appearance sourced from the Indonesian Geospatial Information Agency (BIG) are the main data used. The results of the analysis show that the potential tsunami hazard in the western part of Serang Regency consists of 3 classes, namely low, medium, and high classes which are dominated by high hazard classes with a total area of 377.64 ha affected. This tsunami hazard map can then be used as one of the information bases in disaster mitigation planning in Serang Regency.

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“…Rice is the primary food source for more than 50% [6] and even up to 2/3 [7] of the world's population. Meanwhile, in Indonesia, the availability of productive land for rice crops is limited and reduced due to the conversion of functions for purposes other than agriculture [8,9].…”

Section: Introductionmentioning

confidence: 99%

The impact of seasonal changes on tidal water quality in acid sulfate soils for rice cultivation and water management strategies in South Kalimantan, Indonesia

Multazam

Utami

Maas

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Water management is the leading key to success in tidal swamp rice farming of acid sulfate soils toward seasonal and climate changes to increase rice productivity for overcoming the threat of food crisis. This study aimed to assess and know the dynamics of tidal water quality from the dry peak season to the rainy season’s peak and the best practices on tidal water management strategies for rice cultivation in acid sulfate soils. Measurement started from the peak of the dry season to that of the rainy season, carried out every month at the spring and neap tides. The first measurement was conducted in the Ray 5 Channel located 3 km from the Barito River, hourly for 24 hours. The second one was performed every kilometer from the Barito’s Riverbanks up to 8 km during high and low tides. The main parameters measured were pH and electrical conductivity (EC). The results explained that water quality in tidal lands dynamically fluctuated, spatially, and temporally, hourly, daily, and monthly. Spatially, good water quality is only found at locations 0-4km on the water channel from the Barito River. The water quality decreases farther from the estuary channel and towards the rain peak. The best water quality in the channel occurs at the in-situ tide peak, usually for 2-3hours closest to or from the highest tide. However, the water quality is very acidic, with the pH∼3 value often overflowing the land at the height of the rainy season. This research can be used as a guide in water management in acid sulfate soils and other similar locations. Proper management and location-specific and compatible water systems are proposed to ensure good quality water can optimally improve agricultural success in tidal swamps of acid sulfate soils, namely by holding backwater during the dry season, water drain from the swampland in the rainy season, with leaching and flushing at the beginning rain, and closing the floodgates from the poor water quality.

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Land use/cover changes and spatial distribution pattern of rice field decreasing trend in Serang Regency, Banten Province

Cited by 16 publications

References 11 publications

Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Province, Indonesia, Using Google Earth Engine and Intensity Analysis

Monitoring Urban Expansion and Loss of Agriculture on the North Coast of West Java Province, Indonesia, Using Google Earth Engine and Intensity Analysis

Pemetaan Bahaya Tsunami Wilayah Kabupaten Serang Bagian Barat Menggunakan Sistem Informasi Geografis

The impact of seasonal changes on tidal water quality in acid sulfate soils for rice cultivation and water management strategies in South Kalimantan, Indonesia

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