Judul: Pemetaan Tutupan dan Ketinggian Kanopi Mangrove Menggunakan Data LiDAR di Kecamatan Sangkulirang, Kutai Timur, Kalimantan Timur
Abstrak: Light Detection and Ranging (LiDAR) adalah teknologi penginderaan jauh menggunakan properti cahaya yang ditransmisikan untuk mengetahui informasi dari target yang dituju. Teknologi ini sangat potensial untuk digunakan dalam perencanaan dan pengelolaan daerah secara spasial, termasuk untuk monitoring mangrove. Tujuan dari penelitian ini adalah memetakan tutupan dan ketinggian kanopi mangrove menggunakan data airborne LiDAR di kawasan mangrove Kecamatan Sangkulirang, Kabupaten Kutai Timur, Kalimantan Timur. Data point cloud LiDAR yang telah terkoreksi dimasukkan ke dalam 10 blok pembatas. Data tersebut diklasifikasi ke dalam 7 kelas (daratan, mangrove, nonmangrove, perairan, kendaraan, titik rendah dan titik terisolasi). Kelas daratan dijadikan sumber data pembuatan digital terrain model (DTM) sedangkan kelas mangrove dijadikan sumber data pembuatan digital surface model (DSM). Tumpang susun antara DTM-DSM akan menghasilkan canopy height model (CHM) yang merupakan representasi ketinggian kanopi dari daratan. Hasil penelitian menunjukkan bahwa sebaran mangrove pada daerah penelitian memiliki luas 64,07 km2. Ketinggian kanopi mangrove didominasi ketingginan 10-30 meter dengan ketinggian maksimal mencapai 54,04 meter
Keyword: ketinggian kanopi, LiDAR, mangrove, tutupan kanopi

Judul: Mangrove Canopy Cover Analysis using High Resolution Multispectral Image
Abstrak: Penginderaan jauh merupakan sumber data penting untuk memperkirakan tutupan vegetasi pada wilayah yang luas dan dapat dimafaatkan dalam menentukan tutupan kanopi mangrove. Tujuan dari penelitian ini adalah menganalisis klasifikasi tutupan lahan menggunakan citra foto udara, menganalisis tutupan kanopi vegetasi mangrove dari sensor satelit SPOT6, dan mengevaluasi perbandingan tutupan kanopi dari SPOT 6 dan tutupan lahan dari citra foto udara. Software yang digunakan dalam penelitian ini adalah Software Agisoft Metashape Professional, eCognition Developer, dan ArcMap 10.4. Analisis yang digunakan yaitu analisis vegetasi NDVI yang dikorelasikan dengan persentase tutupan kanopi mangrove. Hasil analisis didapatkan R2 dari ketiga lokasi yaitu Pabeanudik sebesar 0,9334 (93%), Karangsong sebesar 0,8855 (88%), dan Loasarang sebesar 0,8718 (87%). Hasil tersebut menandakan bahwa korelasi antara analisis vegetasi (NDVI) dengan persentase tutupan mangrove sangat baik., Remote sensing is an important data source for estimating vegetation cover over a large area and can be used to determine mangrove canopy cover. The purpose of this study was to analyze land cover classification using drone imagery, analyze mangrove vegetation canopy cover from SPOT6 satellite sensors, and evaluate the comparison of canopy cover from SPOT 6 and land cover from drone images. The software used in this research is Agisoft Metashape Professional Software, eCognition Developer, and ArcMap 10.4. The analysis used is NDVI vegetation analysis which is correlated with the percentage of mangrove canopy cover. The results of the analysis obtained R2 from the three locations, namely Pabeanudik of 0.9334 (93%), Karangsong of 0.8855 (88%), and Loasarang of 0.8718 (87%). These results indicate that the correlation between vegetation analysis (NDVI) and the percentage of mangrove cover is very good.
Keyword: Mangrove canopy, Remote sensing, Segmentation

Judul: Durability of Specific Immunoglobulin (Ig) Y Againts Influenza and Covid-19 in Sunscreen
Abstrak: The benefit of specific immunoglobulin Y (Ig Y) as an active ingredient in personal care products such as sunscreen has not been properly studied. Our study aims to evaluate the reliability of specific IgY against influenza and the COVID-19 virus in a sample sunscreen product. Specific IgY influenza and COVID-19 viruses were inserted in the sample sunscreen at two concentrations of 0.1% and 0.25%. Three treatments were observed: control (C) sunscreen without IgY, treatment 1 (T1) sunscreen with 0.1% IgY, and treatment 2 (T2) sunscreen with 0.25% IgY. Organoleptic observations were carried out to monitor changes in aroma, color, and texture, and sunscreen sampling was done every week for 6 weeks. The durability of IgY was evaluated using an enzyme-linked immunosorbent assay (ELISA) and a neutralization assay. Organoleptic observation from weeks 1 to 6 showed consistency in its aroma, color, and texture. Enzyme-linked immunosorbent assay and neutralization assay (NA) results of the T1 and T2 groups showed negative results except for sample T1 at week 5, which showed a positive result in the Influenza A ELISA. Based on the results, it seems that IgY concentrations of 0.1% or 0.25% were not optimal. However, this negative result might be due to low concentration of the IgY and the presence of beeswax, which inhibits IgY and causes it to dissolve in distilled water, thus preventing it from being detected in the assay.
Keyword: Immunoglobulin Y, Sunscreen, Influenza, COVID-19, Biological Activity