Browsing by Author "Susilawati, Nurdiah"

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    AKTIVASI ARANG CANGKANG BUAH NIPAH (Nypa frutican Wurmb) MENGGUNAKAN RADIASI MICROWAVE
    (Elfitra, 2022-06) Susilawati, Nurdiah; Anita, Sofia
    Nipa palm shell (Nypa frutican Wurmb) is one part of nipa that potentially used as an adsorbent, due to its content 45.6% of cellulose, 23.5% of hemicellulose and 19.4% of lignin. The aim of this research was to determine the optimum condition of irradiation time. The nipa palm shell was prepared through carbonization at 500°C and activated by microwave irradiation at 600 W with various activation times (5, 10 and 15 minutes). Carbon resulted from nipa palm shell was characterized by SNI No. 06-3730-1995 and SEM. Optimum microwave activation time at 10 minutes produce 1.28% of water content, 10.6% of ash content, 1003.3 mg/g of iod adsorption, 7.5686 mg/g of methylene blue adsorption and 28.0624 m2/g of surface area. It can be concluded that microwave activation increase the ability of iod adsorption, methylene blue adsorption and surface area of activated carbon. Based on this work, activated process by microwave succed to improve the ability of adsorbent.
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    PEMODELAN REGRESI POISSON INVERSE GAUSSIAN TERHADAP GIZI BURUK PADA BALITA DI INDONESIA
    (Elfitra, 2022-06) Susilawati, Nurdiah; Bustami, Bustami
    Malnutrition is an important concern for the health and growth of toddlers because it can cause death at a very early age. The factors that influence malnutrition can be modeled with Poisson Inverse Gaussian regression is used to overcome Poisson data that has overdispersion, the variance is greater than the mean. The variables used were low birth weight babies, rural slum households, toddlers who received complete immunizations, toddlers who received exclusive breastfeeding, and the poor. This study aims to find the best model using Poisson Inverse Gaussian regression. Based on the results of the analysis, the Poisson Inverse Gaussian regression model is obtained 𝜇̂ = exp⁡(−0.0591 + 0.1060𝑋1 − 0.0061𝑋3 + 0.0384𝑋5) with variables that significantly influence the percentage of low birth weight and the percentage poor people.