Assessing the Capability of Sentinel-2A Data for Mapping Seagrass Percent Cover in Jerowaru, East Lombok

Remote sensing technology has been widely used in various applications related to natural resources and environment monitoring. In this paper, we evaluated the capability of new Sentinel-2A image to map the distribution and percent cover of seagrass in optically shallow water of Jerowaru coastal area, East Lombok. Seagrass distribution map was produced from radiometrically and geometrically corrected Sentinel-2A image with overall accuracy of 61.9%. Using empirical model, seagrass percent cover was predicted with maximum coefficient of determination (R2) of 0.51 and standard error of estimate (SE) of 19.4%. The results suggest that Sentinel-2A image can be used to perform seagrass mapping time and cost-effectively and can be further improved by incorporating more robust empirical modeling technique

Analisis Kinerja Keuangan Perusahaan E-Commerce PT. Kioson Komersial Indonesia Tbk.

Penelitian ini memiliki tujuan untuk mengetahui kinerja keuangan perusahaan e-commerce yaitu PT. Kioson Komersial Indonesia Tbk selama periode 2018-2019. Jenis penelitian adalah penilian deskriptif kuantitatif yang menjelaskan terkait kinerja keuangan perusahaan berdasarkan laporan keuangan tahunan dari tahun 2018-2019. Teknik pengambilan data menggunakan metode dokumentasi dan survey literatur dengan menganalisis data historis keuangan perusahaan pada laporan keuangan tahunan perusahaan dan di dukung oleh beberapa data-data pendukung lainnya. Analisis data menggunakan 3 metode yaitu metode Analisis Rasio Keuangan, Economic Value Added (EVA), dan Market Value Added (MVA). Hasil penelitian ini menunjukkan bahwa (1) Kinerja keuangan perusahaan menurun ketika dianalisis dengan menggunakan metode anlisis rasio keuangan, (2) kinerja keuangan perusahaan menurun ketika dianaisis dengan menggunakan metode Economic Value Added (EVA), (3) kinerja keuangan perusahaan menurun ketika dianalisis dengan menggunakan metode Market Value Added (MVA). Kesimpulan dari penelitian ini yaitu kinerja keuangan perusahaan PT. Kioson Komersial Indonesia mengalami penurunan pada tahun 2019 jika dibandingkan pada tahun 2018

Sentinel-2A and Landsat 8 OLI to model benthic habitat biodiversity index

Biodiversity of benthic habitats is among the highest of all ecological communities. This study was conducted to model benthic habitat biodiversity indices using a remote sensing approach in optically shallow waters in Karimunjawa Islands-Indonesia. These islands have a wide variety of benthic environments. Two multispectral imagers, namely Sentinel-2A and Landsat 8 OLI, were used. A series of statistical tests were applied in the empirical modeling using the pixel values of both images with in situ Shannon index (H), Simpson index (D), and Shannon's Equitability (EH) calculations. The modeling inputs were sunglint-corrected bands, water column-corrected bands, PCA-transformed bands, MNF bands, and occurrence texture bands. The results indicate that multispectral remote sensing images can be used to map benthic habitat biodiversity indices. However, the difference between the concepts of H, D, and EH calculations and the reflectance value recorded by the sensor remove the possibility of obtaining higher accuracy. H, D, and EH maps derived from Sentinel-2A had varying levels of accuracy, namely 46.8%, 59.1%, and 54.5%, respectively, while Landsat 8 OLI produced these three maps with 45.81%, 57.34%, and 53.81% accuracy