Judul: Identifikasi Lokasi Potensial Bendungan di DAS Ciliwung Hulu.
Abstrak: Sungai Ciliwung merupakan salah satu penyebab utama banjir yang terjadi di Jakarta. Hal ini dikarenakan limpasan air yang mengalir melebihi kapasitas, terutama air yang berasal dari hulu sungai sehingga perlu penanganan agar debit yang mengalir ke hilir berkurang. Penelitian ini bertujuan mengidentifikasi lokasi dan kapasitas tampungan bendungan potensial di hulu Sungai Ciliwung dengan menggunakan analisis hidrologi SWAT (Soil and Water Assessment Tool) pada software ArcGIS (Arc Geographic Information System). Didapatkan daerah yang berpotensi untuk bendungan adalah daerah pada elevasi rendah dengan anak sungai yang memiliki banyak cabang sungai (orde ke-4 atau orde ke-5) dan memiliki kemiringan maksimal 25%. Tiga titik lokasi yang potensial yaitu pada koordinat (1) 06°38'51.6" LS dan 106°53'15.7" BT, (2) 06°39'21" LS dan 106°53'36" BT, serta (3) 06°39'22" LS dan 106°52'15,5" BT. Lokasi 3 memiliki debit rata-rata bulanan tertinggi >30 m3/s sedangkan lokasi 1 memiliki debit ratarata bulanan terendah yaitu > 6 m3/s. Bendungan 1 memiliki luas 90.90 ha; bendungan 2 luasnya 25.74 ha; dan luas bendungan 3 yaitu 21.69 ha. Volume yang dapat ditampung oleh masing-masing bendungan adalah 49.739,330 m3, 8,813,621 m3 dan 8,106,605 m3. Sehingga ketiga lokasi tersebut potensial untuk bendungan.
Keyword: Analisis Hidrologi, ArcGIS, Bendungan, Ciliwung Hulu, SWAT

Judul: Analisis Jaringan Sungai Ciliwung Hulu untuk Menentukan Hidrograf Banjir
Abstrak: Hydrograph is a graphical representation of flow with time. Hydrograph shape is determined by the rainfall input and morphometry of the watershed. Upper Ciliwung watershed contributes greatly to the floods that hit Jakarta. This study aimed to determine the characteristics of the Upper Ciliwung river networks and analyze the flood hydrograph pattern formed by the river network density. Determination of the characteristics of stream network is based on SRTM DEM 90 m x 90 m, and it is obtained that the Upper Ciliwung river has four Strahler river order with length ratio (RL) and branching ratio (Rb) that were different for each river order . Flood hydrograph was calculated using geomorphology convolution method and the simulated discharges were compared to observed discharges recorded at the Katulampa station for two rainfall events on January 16, 2013 and March 4, 2013. Based on the values of Nash-Sutcliffe coefficient obtained from the comparison of simulated discharge and observed discharges that were 0.72 for January 16, 2013 flood and 0.66 for March 4, 2013 flood, it is concluded that flood could be determined using geomorphology convolution method based on the river network density from SRTM DEM data.
Keyword: SRTM DEM data, River network characteristics, Geomorphology convolution method

Judul: Quality of Eggs Based on Different Age of Chickens from Yong's Farm, Seremban, Malaysia
Abstrak: This study aimed to determine the quality of eggs from different ages of chickens from Yong’s Farm, Seremban, Malaysia. The method used was 60 eggs were collected from three of different ages of chicken; 25 (n=20 eggs), 35 (n=20 eggs) and 58 weeks old (n=20 eggs). The variables included egg weight, shell thickness, yolk color, yolk index, albumen index and Haugh unit. The results showed the highest egg weight was recorded with 58 weeks old chicken. The egg shell thickness found at week 25 week (0,455 ± 0,08 mm), 35 weeks (0,495 ± 0,08 mm) and 58 weeks (0,475 ± 0,08 mm). Yolk color was at the highest mean of.12,6 ± 0,68 (25 weeks) while on week 35 and 58 it ranges between 5,45 ± 0,51 and 5,55 ± 0,51. The yolk index was recorded on week 25 and no specific trends were observed and the yolk index was not significant between 35 and 58 weeks of age. Albumen index was highest at week 25 were (0,129 ± 0,0), week 35 (0,113 ± 0,03) and week 58 (0,088 ± 0,02). The highest HU was recorded at week 25 (94,81 ± 5,33) and decreased to (90,52 ± 6,64) at week 35 and (81,95 ± 6,24) at week 58. It can be concluded that chicken influences both exterior and interior quality, except the yolk color with the quality of eggs decreasing as the age increases.
Keyword: chicken age, external quality, internal quality, Haugh Unit