Judul: Estimated Flood Distribution Using the 2D HEC-RAS Model (Case Study: Anai Watershed, West Sumatra)
Abstrak: Sungai Anai berpotensi menimbulkan banjir di wilayah Kabupaten Padang Pariaman, khususnya pada ruas Jembatan Kayu Gadang sampai Jembatan Batang Anai. Hal tersebut diakibatkan curah hujan yang tinggi, menurunnya kualitas dan kuantitas sistem drainase, alih fungsi lahan, berkurangnya daerah resapan air di hulu DAS, dan perilaku masyarakat. Penelitian ini bertujuan untuk mengestimasi lokasi, kedalaman, dan luasan sebaran genangan banjir menggunakan model HEC-RAS (2D). Estimasi sebaran banjir dimulai dari penentuan debit kejadian banjir, pembuatan model yang terdiri dari pre-processing, running HEC-RAS, dan post processing. Hasil model diuji dengan citra observasi (Landsat-8) menggunakan metode Tasseled Cap Transformation untuk menentukan Wetness Index berupa kelembapan tanah. Banjir hasil model menunjukkan wilayah terdampak banjir mencakup 5 Nagari atau Desa. Genangan terluas dan terdalam dari empat kejadian banjir terletak di Nagari Sungai Buluah sebesar 547,44 Ha. Nagari Buayan menjadi Nagari dengan luas wilayah total terdampak tertinggi sebesar 20,8% dari total luas wilayah. Akurasi keluaran model paling tinggi 72%, artinya 72% model dapat diimplementasikan dalam estimasi banjir., The Anai River has the potential to cause flooding in the Padang Pariaman Regency area, especially on the Kayu Gadang Bridge to Batang Anai Bridge. This is due to high rainfall, decreased quality and quantity of drainage systems, land conversion, reduced water catchment areas in upstream watersheds, and community behavior. This study aims to estimate the location, depth, and distribution of flood inundation using the HEC-RAS (2D) model. The estimation of flood distribution starts from determining the discharge of flood events, making a model consisting of pre-processing, running HEC RAS, and post-processing. The results of the model were tested with observational images (Landsat-8) using the Tasseled Cap Transformation method to determine the Wetness Index in the form of soil moisture. The flood model results show that the flood-affected area includes 5 Nagari or Villages. The widest and deepest inundation of the four flood events is located in Nagari Sungai Buluah with an area of 547.44 hectares. Nagari Buayan is the Nagari with the highest total area affected by 20.8% of the total area. The highest model output accuracy is 72%, meaning that 72% of the model can be implemented in flood estimation.
Keyword: Wetness Index, DEM, Mesh, Tasseled Cap, Landsat-8, Wetness Index, DEM, Mesh, Tasseled Cap, Landsat-8.

Judul: Flood Inundation Modelling Using HEC-RAS Model (Case Study: Semarang City, Central Java)
Abstrak: Kota Semarang merupakan salah satu wilayah yang sering terdampak oleh banjir baik banjir rob maupun banjir akibat luapan sungai. Faktor-faktor penyebab banjir seperti tata guna lahan, tingginya curah hujan, tingkat urbanisasi yang tinggi, dan kapasitas drainase yang kurang menyebabkan banjir sering terjadi. Penelitian ini bertujuan untuk menganalisis model genangan banjir di masa lampau menggunakan model HEC-RAS 2D dengan dilakukan validasi model menggunakan data Landsat 7 ETM+ dan data curah hujan CHIRPS. Hasil menunjukkan bahwa banjir di 3 (tiga) kejadian yaitu 23 Januari 2014, 16 Februari 2017, dan 30 April 2019 memiliki luasan yang berbeda-beda, yaitu 378,25 ha, 377,61 ha, dan 310,53 ha. Validasi banjir menggunakan citra satelit Landsat 7 ETM+ menggunakan nilai wetness index pada masing-masing kejadian secara berturut-turut adalah 81, 84, dan 82 persen sehingga banjir model dengan wetness index memiliki nilai validasi yang tinggi. Variasi nilai pada validasi banjir disebabkan oleh gangguan awan dan resolusi spasial dari data DEM Kota Semarang., Semarang City is one of the areas that were often affected by flooding, both tidal flooding and flooding due to river overflow. Factors cause flooding such as land use, high rainfall, high urbanisation rate, and lack of drainage capacity increase flooding to occur frequently. This research aims to analyse past flood inundation models using the HEC-RAS 2D model with model validation using Landsat 7 ETM+ data and CHIRPS rainfall data. The results show that floods in three events, namely 23 January 2014, 16 February 2017, and 30 April 2019 have different areas, namely 378.25 ha, 377.61 ha, and 310.53 ha. Flood validation using Landsat 7 ETM+ satellite imagery using the wetness index value on each event is 81, 84, and 82 per cent respectively so the flood model with wetness index has a high validation value. The variation of values in flood validation is caused by cloud disturbance and spatial resolution of DEM data of Semarang City.
Keyword: Flood, HEC-RAS 2D, Landsat 7 ETM+, Semarang City, Wetness Index

Judul: Enrichment of organic selenium, inorganic selenium and  vitamin E in quail products through its supplementation in the diet and its potency  of quail eggs as an ingredient in selenium-rich egg juice
Abstrak: This study was aimed to achieve an optimum level of combine organic selenium, inorganic selenium and vitamin E in obtaining the best production and reproduction as well as the highest level of selenium in quail eggs. This study was conducted from January to August 2008. Numbers of observed quails were 720 (360 females and 360 males). The treatments were applied when the quails were six weeks old. Nine treatment diets were: To (commercial diet), T1(0.46 ppm inorganic Se + 43.50 ppm vitamin E), T2 (0.46 ppm inorganic Se + 87.00 ppm vitamin E), T3 (0.92 ppm inorganic Se + 43.50 ppm vitamin E), T4 (0.92 ppm inorganic Se +87.00 ppm vitamin E), T5 (0.46 ppm organic Se + 43.50 ppm vitamin E), T6 (0.46 ppm organic Se + 87.00 ppm vitamin E), T7(0.92 ppm organic Se + 43.50 vitamin E) and T8(0.92 ppm organic Se + 87.00 ppm vitamin E).
Keyword: egg yolk, glutathione peroxidase ( GSH-Px), hedonic test, rank test