Analisis Dampak Perubahan Tutupan Lahan di Kalimantan Terhadap Temperatur Permukaan

Safitri, Ramadani; Vonnisa, Mutya; Marzuki, Marzuki

doi:10.25077/jfu.11.2.173-179.2022

Cited by 4 publications

(4 citation statements)

References 4 publications

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“…The classification of land cover is carried out using the maximum likelihood method. Classification begins with making a training area for each land cover category using ROI (Regions of Interest) [8]. The classification was done using a combination of bands on Landsat 8 OLI, 6 5 4 (vegetation analyst), while Landsat 7 ETM+ and 5 TM, the band combination is used 5 4 3 (vegetation analyst).…”

Section: Land Cover Classificationmentioning

confidence: 99%

Effect of Land Cover Change and Deforestation Around Maninjau Lake on Rainfall and Surface Temperature

Safitri,

Marzuki,

Syafii

2023

J. Phys.: Conf. Ser.

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Fish deaths in Maninjau Lake have been frequently reported. Apart from fishery activities, this can also be caused by changes in atmospheric conditions around Lake Maninjau due to changes in land cover around Lake Maninjau. Therefore, this study analyzes land cover changes and deforestation in 2001 and 2020 and their relationships with surface temperature and rainfall. Rainfall data and extreme temperatures were obtained from the Integrated Multi-satellite Retrievals for GPM (IMERG) and ECMWF v5 (ERA5), respectively. Land cover data based on the Landsat satellite is used to see land changes. The results showed a decrease in the amount of vegetated land every year and an increase in residential and building land and agricultural land, which correlates with an increase in the surface temperature in the Maninjau area. Furthermore, the results also show a coherent relationship between rainfall trends and areas of deforestation.

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Section: Land Cover Classificationmentioning

confidence: 99%

Effect of Land Cover Change and Deforestation Around Maninjau Lake on Rainfall and Surface Temperature

Safitri,

Marzuki,

Syafii

2023

J. Phys.: Conf. Ser.

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“…Oleh karena itu, mendeteksi suasana hati yang buruk adalah tujuan yang dikejar oleh banyak peneliti. Alat analisis sentimen yang disebutkan menawarkan cara untuk menentukan suasana hati berdasarkan komunikasi berbasis teks [3]. Selain itu, alat analisis sentimen juga telah diterapkan dalam skenario aplikasi lainnya, termasuk pengembangan saran perbaikan untuk kode atau rekomendasi untuk paket dan perpustakaan Software Engineering yang lebih baik.…”

Section: Pendahuluanunclassified

Pengembangan Analisis Sentimen dalam Rekayasa Software Engineering menggunakan tinjauan literatur sistematis

Wahyu Sejati,

Ankur Singh Bist,

Amirsyah Tambunan

2023

MENTARI

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Pengembangan Software Engineering membutuhkan kolaborasi banyak orang dengan beragam peran. Menurut penelitian, elemen sosial dalam tim pengembangan sangat penting untuk menyelesaikan proyek dengan sukses dan memuaskan. Telah dibuktikan bahwa suasana hati tim, memiliki dampak yang signifikan. Oleh karena itu, manajer proyek atau pemimpin proyek tertarik untuk meneliti situasi yang menimbulkan suasana hati negatif untuk membuat intervensi yang sesuai. Salah satu alat yang digunakan dalam situasi ini adalah analisis sentimen, yang menawarkan cara untuk mengukur suasana hati dari pertukaran tekstual. Makalah ini menyajikan temuan dari tinjauan menyeluruh terhadap literatur tentang teknologi analisis sentimen yang dikembangkan atau digunakan dalam Software Engineering. Penelitian ini mengumpulkan data dari 80 makalah tentang berbagai subjek, termasuk domain aplikasi, tujuan penggunaan, kumpulan data, pendekatan untuk mengembangkan alat analisis sentimen, dan kesulitan yang dihadapi para peneliti saat menggunakan analisis sentimen dalam konteks proyek Software Engineering. Berdasarkan temuan penelitian, inisiatif rekayasa perangkat lunak sumber terbuka yang menggunakan analisis sentimen sering kali menggunakan teknik berbasis mesin vektor pendukung. Terlepas dari kenyataan bahwa analisis sentimen sering digunakan dalam Software Engineering, masih ada beberapa masalah yang perlu diperbaiki. Misalnya, sulit untuk mengidentifikasi ironi atau sarkasme dalam teks. Hal ini menunjukkan jenis penelitian yang harus dilakukan untuk mengembangkan cara yang lebih baik dalam menerapkan analisis sentimen dalam konteks proyek Software Engineering. Secara keseluruhan, penelitian ini meningkatkan pemahaman kita tentang pengembangan dan penerapan alat analisis sentimen dalam Software Engineering. Penelitian ini dapat meningkatkan keberhasilan proyek Software Engineering secara signifikan karena pengetahuan yang lebih baik tentang elemen sosial dan implementasi teknologi analisis sentimen yang efektif.

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“…Indonesia has a fairly large forest area, which is around 120.35 million hectares with the availability of very abundant forest resources in the form of wood or tree trunks which have very promising economic value [1] [2] [3] [4]. However, timber exploitation and community intervention can lead to deforestation [5] [6]. One of the areas experiencing deforestation is the forest in South Kalimantan [7].…”

Section: Introductionmentioning

confidence: 99%

Mapping The Rate Of Deforestation In South Kalimantan Using Landsat Imagery

Mardianis¹,

Razi²

2022

georest

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South Kalimantan Province is an area that has a very large forest area, but this forest continues to decrease due to deforestation. Deforestation continues to be one of the factors causing flooding. Flooding in this area is a recurring disaster that must be overcome. For this reason, it is necessary to calculate changes in forest area so that forest processing can be carried out properly and that banners can be overcome. In this study, the rate of deforestation was calculated using a map of land use change in South Kalimantan Province through the google earth engine platform using Landsat imagery. The method in this research is supervised classification, which is taking polygon samples in land use classification. The image classification algorithm with javascript on the google earth engine platform will classify the same pixel values into the same classification based on the samples that have been made. Through this platform, images in geo.tif format will be obtained. then the image is processed using ArcGIS software to process the image into a map and the area of each classification. This map was then overlaid between 2015, 2018, and 2020 to see the changes. Based on the results of the study, it was found that there was a change in land use, especially in the forest class and community plantations. Forests decreased to 311,255 hectares with a decreasing rate of 62,251 hectares every year, while community plantations increased by 328,858 hectares with an increase of 65,771 hectares every year.

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Analisis Dampak Perubahan Tutupan Lahan di Kalimantan Terhadap Temperatur Permukaan

Cited by 4 publications

References 4 publications

Effect of Land Cover Change and Deforestation Around Maninjau Lake on Rainfall and Surface Temperature

Effect of Land Cover Change and Deforestation Around Maninjau Lake on Rainfall and Surface Temperature

Pengembangan Analisis Sentimen dalam Rekayasa Software Engineering menggunakan tinjauan literatur sistematis

Mapping The Rate Of Deforestation In South Kalimantan Using Landsat Imagery

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