Judul: Mapping the Area and Density of Mangroves in Pantai Bahagia Village, Muara Gembong District, Bekasi Regency
Abstrak: Penurunan luasan mangrove menyebabkan perlunya pemantauan hutan mangrove untuk mencegah terjadinya dampak keberlanjutan dari degradasi lahan mangrove di pesisir Desa Pantai Bahagia, Kecamatan Muara Gembong, Kabupaten Bekasi. Penelitian ini bertujuan mengidentifikasi dan memetakan luas sebaran dan kerapatan mangrove di Desa Pantai Bahagia. Analisis Normalized Difference Vegetation Index (NDVI) digunakan untuk mengetahui kerapatan mangrove di suatu area. Kerapatan mangrove yang dihasilkan terklasifikasi menjadi 3 kelas kerapatan, yaitu mangrove jarang (0,693 km2), mangrove sedang (0,562 km2), dan mangrove rapat (1,865 km2) dengan total luasan mangrove sebesar 3,12 km2. Hasil uji akurasi confusion matrix pada klasifikasi citra memperoleh nilai akurasi sebesar 86,58% dan kappa coefficient sebesar 0,697. Pengujian korelasi persentase tutupan kanopi mangrove yang diperoleh dari data lapang dengan nilai NDVI dilakukan menggunakan metode regresi linier sederhana dan menghasilkan koefisien korelasi (r) dengan nilai 0,834 dan koefisien determinasi (R2) dengan nilai 0,696., Mangrove areas decreasing lead to the need for monitoring of mangrove forests to prevent the impacts of mangrove area degredation that occured in the coast of Pantai Bahagia Village, Muara Gembong District, Bekasi Regency. This research aimed to compute and make distribution area and density map of mangrove in Pantai Bahagia Village. Normalized Difference Vegetation Index (NDVI) analysis is used to determine the density of mangroves in certain area. The results were classified into 3 classes, sparse (0,693 km2), moderate (0,562 km2), and dense (1,865 km2) with a total mangrove area of 3,12 km2. The confusion matrix accuracy test results were consisted with an accuracy value of 86.58% and kappa coefficient of 0.697. The correlation test of mangrove canopy cover percentage obtained from field data with NDVI value was conducted using a simple linear regression method. The results were 0.834 for coefficient of correlation (r) and 0.696 for coefficient of determination (R2).
Keyword: Pantai Bahagia Village, Density, Mangrove, NDVI, Remote sensing

Judul: Analysis of Distribution and Density of Mangrove Forests from Sentinel-2B Image Processing in Kurau Region, Bangka Belitung
Abstrak: Kawasan hutan mangrove memiliki manfaat dalam aspek sosial, ekonomi, maupun ekologi. Fungsi fisik hutan mangrove sebagai pengendali intrusi air laut terhadap daratan, kawasan penyanga, dan pelindung garis pantai. Algoritma Maximum Likelihood Classification (MLC) digunakan untuk memetakan sebaran mangrove. Analisis Normalized Difference Vegetation Index (NDVI) digunakan untuk mengetahui indeks kerapatan vegetasi suatu daerah. Dari hasil perhitungan Hutan mangrove di Kurau, Bangka Belitung pada 2021 didapatkan luas total 695.94 Ha yang terbagi menjadi tiga kelas kerapatan, yaitu mangrove padat (446.36 Ha), mangrove sedang (110.43 Ha), dan mangrove jarang (80.58 Ha). Uji akurasi dengan confusion matrix mendapatkan akurasi sebaran sebesar 94.02% dengan kappa coefficient 0.88, dan akurasi kerapatan sebesar 90% dengan kappa coefficient sebesar 0.81. Pengujian korelasi antara data survei kerapatan mangrove dengan NDVI didapatkan nilai korelasi (r) sebesar 0.8299 dan nilai determinasi (R2) sebesar 0.6887., Mangrove areas have benefits in social, economy, and ecology aspects. The physical function of mangrove forests is to control sea water intrusion into land area, buffer areas, and coastlines protector. Maximum Likelihood Classification (MLC) algorithm is used to map mangrove coverage distribution. Normalized Difference Vegetation Index (NDVI) analysis is used to determined the vegetation density index of an area. The results of computations obtained mangrove forest area in Kurau region, Bangka Belitung in 2021 has a total area of 695.45 Ha which is divided into three density classes, namely dense mangrove (446.36 Ha), moderate mangrove (110.43 Ha), and rare mangrove (80.58 Ha). The accuracy test using confusion matrix got a distribution accuracy of 94.02% with a kappa coefficient of 0.88, and a density accuracy of 90% with kappa coefficient of 0.81. The correlation test between mangrove density survey data and NDVI obtained a correlation value (r) of 0.829 and determination value (R2) of 0.6887.
Keyword: Kurau, Sentinel-2B, Area, Density, Mangrove, NDVI, Remote Sensing

Judul: Karakteritsik kimia dan organoleptik tablet effervescent putih telur bersitarasa lemon dengan konsentrasi effervescent mix yang berbeda
Abstrak: Egg is an animal origin food product which has high nutritional value especially protein. Cholesterol content of eggs is only found in egg yolk, on the other hand albumen does not countain cholesterol at all but high content of protein, so it can be used as a free cholesterol-protein sources. The application of albumen as egg instant drink effervescent tablet can be an alternative of protein source for people who need free-cholesterol diet. It can also become an egg product diversification.
Keyword: