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All Journal Contemporary Mathematics and Applications (ConMathA) Jurnal ABDIMAS Budi Darma The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Kurnia Ulfa
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Agriculture, Biological Sciences & Forestry Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Other

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EFFECT OF ATMOSPHERIC CORRECTION ALGORITHM ON LANDSAT-8 AND SENTINEL-2 CLASSIFICATION ACCURACY IN PADDY FIELD AREA Fadila Muchsin; Kuncoro Adi Pradono; Indah Prasasti; Dianovita; Kurnia Ulfa; Kiki Winda Veronica; Dandy Aditya Novresiandi; Andi Ibrahim
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 1 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3845

Abstract

Landsat-8 and Sentinel-2 satellite imageries are widely used for various remote sensing applications because they are easy to access and free to download. A precise atmospheric correction is necessary to be applied to the optical satellite imageries so that the derived information becomes more accurate and reliable. In this study, the performance of atmospheric correction algorithms (i.e., 6S, FLAASH, DOS, LaSRC, and Sen2Cor) was evaluated by comparing the object's spectral response, vegetation index, and classification accuracy in the paddy field area before and after the implementation of atmospheric correction. Overall, the results show that each algorithm has varying accuracy. Nevertheless, all atmospheric correction algorithms can improve the classification accuracy, whereby those derived by the 6S and FLAASH yielded the highest accuracy.
Program Literasi Digital Untuk Pemberdayaan Perempuan Desa Naga Timbul Di Era Industri 4.0 Fadlina; Kurnia Ulfa
Jurnal ABDIMAS Budi Darma Vol. 6 No. 2 (2026): Februari 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/pengabdian.v6i2.9602

Abstract

Transformasi digital pada era Revolusi Industri 4.0 menuntut peningkatan literasi digital sebagai kompetensi dasar, khususnya bagi kelompok perempuan di wilayah pedesaan yang masih menghadapi keterbatasan akses dan kapasitas pemanfaatan teknologi. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan literasi digital dan pemberdayaan sosial-ekonomi perempuan Desa Naga Timbul melalui pelatihan dan pendampingan pemanfaatan teknologi digital untuk kegiatan produktif. Metode pelaksanaan menggunakan pendekatan partisipatif dengan tahapan identifikasi kebutuhan melalui observasi dan diskusi kelompok, perencanaan program dan penyusunan modul, pelaksanaan pelatihan berbasis praktik, pendampingan penerapan keterampilan, dan evaluasi melalui pre-test dan post-test, observasi keterampilan, serta umpan balik peserta. Hasil kegiatan menunjukkan peningkatan pemahaman peserta dalam penggunaan smartphone secara produktif, pemanfaatan media sosial untuk promosi, penguatan kesadaran keamanan digital, serta meningkatnya kepercayaan diri dalam mengakses informasi dan berkomunikasi secara digital. Sejumlah peserta mulai menerapkan keterampilan melalui pembuatan akun usaha dan promosi produk lokal secara daring, meskipun masih ditemukan kendala berupa variasi kemampuan awal dan keterbatasan akses internet. Program ini membuktikan bahwa literasi digital berbasis komunitas dapat menjadi strategi efektif untuk memperkuat kemandirian ekonomi dan peran sosial perempuan desa dalam menghadapi tantangan Industri 4.0.
Utilization of GEE for Mapping Land Cover Changes in Settlements Before and After the 2018 Lombok Earthquake in North Lombok Regency Lia Fitta Pratiwi; Luzianawati; Nuzla Af'idatur Robbaniyyah; Kurnia Ulfa; Muhammad Rijal Alfian
Contemporary Mathematics and Applications (ConMathA) Vol. 8 No. 1 (2026)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v8i1.76412

Abstract

A major earthquake struck Lombok, West Nusa Tenggara, in 2018, causing significant infrastructure damage, including in North Lombok Regency. This study aims to analyze land cover changes in North Lombok Regency before and after the earthquake using Sentinel-2 Level-1C satellite imagery. Through supervised classification using the Maximum Likelihood method, changes in the area of various land cover types, such as Bare Land, Paddy Field, Dense Vegetation, Water Bodies, and Built-up Areas, were identified and analyzed temporally in 2017, 2020, and 2023. The results show that the earthquake caused drastic changes in land cover in the study area, particularly a decrease in the area of dense vegetation and an increase in the area of bare land. These changes indicate significant ecosystem disruption caused by the earthquake. Subsequently, a recovery trend was observed in the 2020-2023 period. Changes in land cover, especially in built-up areas and bare land, are consistent with the earthquake's impact and subsequent reconstruction efforts.
Co-Authors Andi Ibrahim Dandy Aditya Novresiandi Dianovita Fadila Muchsin Fadlina Indah Prasasti Kiki Winda Veronica Kuncoro Adi Pradono Lia Fitta Pratiwi Luzianawati Muhammad Rijal Alfian Nuzla Af'idatur Robbaniyyah