HAIR TONIC SHAMPOO FORMULATION WITH AMBON BANANA (MUSA ACUMINATA COLLA) CORM EXTRACT

Objective: Banana waste, especially corms, has potential as a source of haircare agents due to its active compound, anthraquinone, which is known to promote hair growth. This study aimed to assess preparations of hair tonic shampoo containing Musa acuminata Colla corm extract and evaluate their characteristics and stability. Methods: Three shampoo formulas were prepared containing 8%, 10%, and 12% corm extract. Physical stability tests were performed at high (60±2 °C) and room temperature (25±2 °C) for three weeks. The shampoo formulas were evaluated for their organoleptic properties (colour, form, and odour), homogeneity, pH, density, viscosity, rheology, foam height and stability, and surface tension. Results: The shampoo formulas with corm extract were white to yellowish-white, creamy, and smelled of banana, and were homogenous without precipitation. The formulas had a pH of 6.08–6.12, a density of 1.027–1.054 g/ml, foam height of 3.56–3.63 ml, the surface tension of 28.92–29.85 dyne/cm, viscosity of 16,000–120,000 cps and pseudoplastic flow properties. Conclusion: The natural hair tonic shampoo formulas prepared with M. acuminata corm have good characteristics

Pengaruh Curah Hujan Dan Hari Hujan Terhadap Produksi Kelapa Sawit Berumur 5, 10 Dan 15 Tahun Di Kebun Begerpang Estate Pt.pp London Sumatra Indonesia, Tbk

One of the determining factors of water supply for oil palm which does not use irigation system israin fall. Water supply is the main factor that cope production rate of oil palm. Water supply for oilpalm in field is obtained from rain fall. This research is done in PT.PP London Sumatra Indonesia,Tbk Begerpang Estate plantations, North Sumatera Province, Medan from June to September 2013.This research used secondary data available in company administration. Secondary data for analysisneed consists of component production data as total bunches, average bunches weight, total ofproductive trees, loose fruit weight; production of fresh fruit bunch (FFB); rain fall data and rainday monthly in 2008, 2009 and 2010 on 6 divisions. Analysis method used is double linierregression and correlation analysis. Model tested by classic asumption consists of normality test,heteroskedasticity test, multicollinearity, and autocorellations test by using statistic softwareSPSS.v.17 for windows. The regression analysis shows that rain fall and rain day variables havesignificant influence with alpha 5% (Sig < α 0,05) in FFB production aged 5 years. F-value is5,235 with significant level 0,031. Coeffisien determination obtained is 53,8%. It means 53,8%variance of FFB production can be explained by variables used in this research and the rest 46,2% isexplained by other variables which are excluded. Linier regression model on 5 years is Y = 145,982+ 1,451 rain fall – 27,005 rain day + E. Corelation result on 5, 10 and 15 years with two-tailedanalysis with significant level 1% shows that rain fall and rain day have tight, significant, and samedirection relationship. Corelation value of rain fall and rain day are 0,892; 0,887; and 0,855 eachwith significant level 0,000 (Sig < α 0,01)