Judul: Mempelajari Penggunaan Asam Askorbat dan CaCl2 untuk Memperbaiki Penampakan dan Tekstur pada Pengalengan Buah Manggis (Garcinia mangostana L.)
Abstrak: Manggis merupakan salah satu contoh buah yang mudah mengalami reaksi pencoklatan setelah dikupas dan kontak dengan udara. Proses pengalengan yang merupakan salah satu prinsip pengolahan dengan panas sangat memungkinkan terjadinya pada tekstur dan perubahan warna daging buah. Oleh karena itu diperlukan suhu penanganan yang mencegah terjadinya pencoklatan dan pelunakan tekstur pada buah manggis yang akan dikalengkan.
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Judul: Pengaruh Pemberian KMnO4 dan Asam Askorbat serta Suhu Penyimpanan dalam Mempertahankan Warna Hijau Kelopak Buah Manggis (Garcinia manggostana L.)
Abstrak: Manggis merupakan komoditas yang paling penting dalam ekspor buah segar Indonesia. Tingginya peluang ekspor manggis tersebut belum diimbangi dengan peningkatan produksi dan kualitas. Kualitas buah-buahan selain ditentukan oleh faktor prapanen, juga sangat ditentukan oleh teknik penanganan pascapanen. Salah satu faktor tidak terpenuhinya standar mutu ekspor manggis Indonesia adalah perubahan warna dari hijau menjadi coklat dan kering pada kelopak buah (sepal) manggis. Untuk mengatasi masalah tersebut, maka dilakukan penanganan pascapanen yang salah satunya adalah teknik pengemasan aktif (active packaging) pada suhu penyimpanan dingin. Pengemasan aktif merupakan pengembangan dari teknik MAP (Modified Atmospere Packaging). Teknik ini berusaha mengendalikan komposisi udara disekitar produk dengan memasukkan bahan tambahan seperti KMnO4 (penyerap etilen), asam askorbat (penyerap oksigen) kedalam kemasan sehingga laju respirasi, produksi etilen dan transpirasi berjalan lambat yang pada akhirnya dapat mempertahankan warna kelopak dan mutu buah manggis serta memperpanjang umur simpan.
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Judul: The Effects of Variance of Interest rate to Variance of Annuity Future Values
Abstrak: Time value of money is a concept that refers to the difference of the value of money due to time difference. The value of money for present time would not be the same as the value of money in the future. The value of money for present time is called as Present Value (PV) of the money and the value of money for future time is called Future Value (FV) of the money. Determination the value of money, for present and future time, depends on the time and rate of return. The value of money is determined by several factors such as inflation, fluctuation of interest rates, and government policy in securities and taxation. Due to fluctuation of the value of money we need a FV formulation, it is useful for knowing whether an investment can be profitable or not, and this information is useful also in budget analysis. Annuity is defined as a series of payments made for a specific period. The payment, fixed or varied, can be made at the beginning or at the end of the period. Annuity paid at the beginning of the period is called annuity-due and annuity paid at the end of the period is called immediate annuity-certain. The accumulated value of the annuity after few years later is called as a final value or a future value. Burnecki et al. (2003) have discussed about the FV of a fixed-rate annuity in which payments are made according to the arithmetic or geometric series. They have also examined FV for annuities in which payments are made according to arithmetic or geometric series with random rates of interest. This paper examines FV for annuity-due in which payments are made according to arithmetic or geometric series with interest rates as a random variable, which is normal distribution ,  . Future value formula is expressed in recursive form. FV for annuity-due which payments are made according to the arithmetic or geometric series with random rates of interest is calculated by theoretical way and simulation way. The random rates of interest is denoted as k k i  i  , where k i an independent random variable; i is a constant and k  is a random variable which has normal distribution ,  . By using the determined parameters, a sequence of random rates of interest are generated for theoretical calculation. Meanwhile for the simulation, the random rates of interest is generated 1000 times for the simulation. The generated data give mean value, variance, and standard deviation. Moreover, error of mean value, variance, and standard deviation from the theoretical and simulation results are calculated. Error calculation uses Symmetric Mean Absolute Percentage Error (SMAPE). The smaller the value of SMAPE is the more accurate the simulation. The interest rate variances are varied from 0.000036 to 0.0001 to study the relationship between variance of rates of interest and variance of future value. The theoretical and simulation results show that when the variance of random rates of interest increases, then the variance of FV increases linearly. FV of the annuity-due in
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