Judul: Analisis Ketersediaan Air dengan Metode Thomas Fiering di Kali Krukut, Jakarta
Abstrak: The population in Kali Krukut river basin increased from year to year, so water demand in Kali Krukut increased. This research aimed to analyze the water availability in Kali Krukut using Thomas Fiering method. Based on discharge data from 2001-2009, analyses were performed to estimate the amount of discharge in 2010-2020. The result showed that a maximum discharge would occur in February 2017 approximately 20,80 m3/sec, while a minimum discharge would be 0,8554 m3/sec in December 2014 and 0,0569 m3/sec in December 2015. By 2020, the Goverment planned to increase food security, so a good water irrigation system is needed. Based on the result, the maximum water availability in rainy and dry season could fulfill the water demand, but the minimum water availability in rainy and dry season couldn’t fulfill the water demand. To solve this problem, the Goverment must create a well plan in order to manage Kali Krukut.
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Judul: Analisis Kebutuhan dan Ketersediaan Air Baku di Kabupaten Tangerang.
Abstrak: Water is one of the basic necessities of human beings to make life and increase their welfare. Indonesia is located in the tropics and have raw water availability. Drought-prone was one problem in the raw water supply as a result of the uneven distribution of water in the region of Indonesia. Tangerang Regency is one of the areas of Indonesia's Banten Province has its challenges in the future to meet the needs of the raw water, due to the increasing population and decreasing ability of the environment both in quality and quantity in the raw water supply. This research aims to know the needs and availability of raw water in the near future. Water demand was analyzed by exponential approximation is a method, and water availability was analyzed based on linear equations obtained from linear regression using Microsoft Excel 2007. Water requirements were analyzed based on demand, such as the water needs for domestic, non-domestic, industrial, fisheries, livestock and irrigation. From the results obtained that level of water needs from 2010 to 2030 as a whole has increased, which for 2010 of 71,61 m3/sec, 2015 amounting to 72,86 m3/sec, by 2020 of 76,24 m3/sec, 2025 of 82,75 m3/sec, and 2030 of 95,35 m3/sec. While the total availability of water from 2010 to 2030 from water source river and groundwater degradation, which in 2010 of 143,17 m3/sec, 2015 amounting to 127,28 m3/sec, by 2020 of 114,02 m3/sec, 2025 of 100,75 m3/sec, and 2030 of 87,50 m3/sec. By 2030 water availability can’t meet water demand, with a water deficit -7,85 m3/sec.
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Judul: Characterization Of Psen2 Gene Of Amyloid Disorder Of Alzheimer's Disease In Macaca Fascicularis
Abstrak: Presenilin2 (PSEN2) genes are the primary component of γ-secretase, responsible for the amyloid precursor protein sequence of proteolytic cleavage and the subsequent formation of amyloid β peptides. 18 RNA samples from the brain cortex and hippocampal regions of an adult group (10-12 years old); 4 female) and an old group (>15 years old; 5 females) of Cynomolgus monkey (Macaca fascicularis) were analyzed using RT-qPCR. There were no differences in PSEN2 mRNA expression in the cortex in between groups (p=0.063). There were significant differences in mRNA expression in the hippocampus in between groups (p= 0.010). The overall PSEN2 expression level was higher in the adult monkey group and correlated early onset Alzheimer’s disease (EOAD) characteristics in relatively young individuals. The overall PSEN2 expression level was low in the old monkey group. High PSEN2 expression in an adult group might correlate with the regulation of neuronal plasticity, amyloid precursor protein processing, and tau aggregation. It was increased in PSEN2 expression correlated with learning and memory impairment in the cortex and hippocampus. Alteration in PSEN2 expression may be a risk factor for Alzheimer’s disease. This study proposes that PSEN2 informational mutations could be included as useful gene biomarkers for the comprehensive prognosis of Alzheimer's disease in the Omnibus Gene Expression (GEO) database.
Keyword: cortex, Cynomolgus monkey, EOAD, hippocampus, PSEN2, RT-qPCR