Judul: Study of Land Use Change Before and After  the Tsunami Using Satellite Imagery in Panimbang District, Banten
Abstrak: Pesisir Kecamatan Panimbang, Kabupaten Pandeglang, Provinsi Banten merupakan salah satu wilayah yang terdampak bencana tsunami Selat Sunda pada 22 Desember 2018 yang mengakibatkan kerusakan pesisir. Tujuan dari penelitian ini yaitu mengetahui perubahan penggunaan lahan pasca tsunami yang terjadi di Pesisir Kecamatan Panimbang, Kabupaten Pandeglang, Provinsi Banten pada tahun 2018 menggunaan citra Sentinel-2A tahun 2018 dan 2021, menggunakan algoritma Maximum Likelihood. Klasifikasi menghasilkan 5 kelas yaitu, hutan, perkebunan, sawah, permukiman, dan pasir dengan luas total 9983.98 ha. Luas perkebunan menurun sebesar 2212.07 ha dengan persentase penurunan 22.16%. Kelas permukiman mengalami penurunan luas sebesar 63.52 dengan persentase penurunan 0.64%. Kelas pasir mengalami peningkatan luas sebesar 40.56 ha dengan persentase 0.41%. Hutan mengalami peningkatan luas sebesar 1215.48 ha dengan persentase 12.17%. Sawah mengalami peningkatan luas sebesar 1019.55 ha dengan persentase 10.21%. Akurasi (overall accuracy) klasifikasi penggunaan lahan tahun 2018 dan 2021 berturut-turut sebesar 90.37% dan 90.55%., The coastal Panimbang District, Pandeglang Regency, Banten Province is one of the areas affected by the Sunda Strait tsunami disaster on December 22, 2018, which caused coastal damage. The purpose of this study is to determine land use changes after the tsunami that occurred on the coast of Panimbang District, Pandeglang Regency, Banten Province 2018 using Sentinel-2A imagery in 2018 and 2021, using the Maximum Likelihood algorithm. The classification produces 5 classes, namely, forests, plantations, rice fields, settlements, and sand with a total area of 9983.98 ha. The plantation area decreased by 2212.07 ha with a percentage decrease of 22.16%. The residential class experienced a decrease in the area by 63.52 with a percentage decrease of 0.64%. The sand class experienced an increase in the area of 40.56 ha with a percentage of 0.41%. The forest experienced an increase in the area of 1215.48 ha with a percentage of 12.17%. Rice fields experienced an increase in the area of 1019.55 ha with a percentage of 10.21%. The overall accuracy of land use classification in 2018 and 2021 was 90.37% and 90.55%, respectively.
Keyword: Coastal, Land Use, Maximum Likelihood, Tsunami, Penggunaan Lahan, Pesisir

Judul: Analisis Perubahan Garis Pantai Pasca Tsunami Selat Sunda 2018  Kabupaten Pandeglang, Banten Menggunakan Citra Satelit  Sentinel 2
Abstrak: Pengamatan perubahan garis pantai dapat dilihat dengan nyata dan secara tidak langsung melalui penginderaan jauh. Garis Pantai yang sangat dinamis dapat dipengaruhi oleh berbagai faktor alami atau campur tangan manusia. Penelitian ini dilakukan untuk mengidentifikasi dan menganalisis dampak dari tsunami yang terjadi di Selat Sunda tahun 2018 terhadap perubahan garis pantai dengan menggunakan citra Sentinel, di daerah Kabupaten Pandeglang khususnya Kecamatan Panimbang. Analisis menggunakan Tasseled cap dengan menggabungkan kecerahan, kehijauan, kebasahan menjadi sebuah garis pantai dan dilanjutkan menggunakan Digital Shoreline Analysis system untuk perhitungan garis pantai. Hasil analisis secara umum terjadi abrasi dengan kategori kerusakan pantai amat sangat berat pada Segmen A, Segmen B, Segmen C dan sangat berat pada Segmen D. Terdapat Anomali perubahan garis pantai yang terjadi pada tahun 2018 – 2019, faktor utama perubahan garis pantai tersebut akibat gelombang tsunami., Shoreline change observation can visible and indirect via remote sensing. Dynamically shoreline it can be affected by many natural disorder or human interruptions. This research intend for shoreline change impact after Tsunami Selat Sunda 2018 in Pandeglang District specially Sub-district Panimbang, identification and analysis using Sentinel Imagery. Analysis using Tasseled Cap to combine brightness, greenness, wetness, become shoreline and continue with the Digital Shoreline Analysis system for calculation. Commonly analysis result occur to abrasion with coastal damage category very severe damage for Segment A, Segment B, Segment C and very damage for Segment D. There are anomalies between 2018 – 2019, tsunami is the main factor of the shoreline change.
Keyword: Digital Shoreline Analysis system, garis pantai, penginderaan jauh, Tasseled Cap, shoreline, remote sensing, tsunami

Judul: Kandungan Kolesterol dan Vitamin A Ayam Arab yang Diberi Jamu Ternak Melalui Air Minum
Abstrak: Egg as one source of protein needed by the body contains high amount of essential amino acids, however in reality there is a constraint factor in consuming the eggs which is the high level cholesterol in an egg. Nowadays the cholesterol content of eggs is feared by most of the public in relation to its effect. Excess cholesterol can cause health problems, but on the other hand the yolks contain vitamin A which is good for the body. This research was aimed to study the cholesterol and vitamin A content of Arab chicken egg yolks with addition of herbs through drinking water it is expected to reduce the cholesterol level and increase the amount of vitamin A in egg yolks. This experiment was conducted in poultry house in block C of Animal Science Faculty, Bogor Agricultural Institute, it lasted from June to August 2011. Chicken used in this study was 48 arab hens by age 19 weeks. Research procedures include the preparation of cages and equipment, maintenance and provisions of herbal medicine. The design used in this study was a completely randomized design (CRD). The content of cholesterol during 5 weeks of herbal medicine with level of 5 ml per head and 10 ml per head was 535.28 mg/100 g up to 563.51 mg/ 100 g. The addition of herbal medicine for 3 consecutive days (per week) are mixed in hens drinking. The level differences does not affect the content of cholesterol in egg yolk, but the existence of different herbal medicine addition level provides different amount of vitamin A. The content of vitamin A in egg yolks for a treatment P0 (without herbs) amounted to 596.787 μg/ 100 g, P1 (herbs 5 ml/head/day) : 700.034 μg/ 100 g and P2 (10 ml/head/day) : 800.962 μg/ 100 g.
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