Judul: Prototipe Perangkat Lunak Sistern Informasi Penyakit Potong Ayam Ras Sebagai Bagian Dari Sistem Manajemen Kesehatan Unggas.
Abstrak: Manajemen lteseliatan merupakan faktor yalig menentukan dalam usaha pelcrtialtaii lkarena dapat ~iienur~~nktainng ltat kcmatiall da11 iiie~iibuat Ikondisi lteseliatdti ternak me~ijadi prima. Dctlga~i Itondisi lteseliataii yaiig bagus diharapkan produksi akan tinggi dan ine~iiberika~kie u~itt~ngayna ng memadai. Serangan penyakit inerupakan ancainan bagi s u a t ~u~sa ha petemakan. Serangan penyakit dapat dihindari dan diobati dengan langkah valtsinasi, pengobatan, pemeliliaraan kandang dan peiiiusnalian hewail yang terserang
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Judul: Sistem deteksi dini dan pencegahan penyakit pada ternak unggas secara online
Abstrak: Disease control on poultry farming can be one determining factor to get the economy success. A sick poultry will make the weight gain decreased, and result in economic losses. Poultry disease can be detected faster by the symptom shown by poultry itself. This Online Poultry Early Detection and Illness Prevention Information System (OPEDIPIS) could help farmer to detect the illness before its outbreak. This system diagnoses the desease by enter the symptome of the desease to computer system, and then the system compute the possible illness of the poultry based on the symptom that had been input to the system data base. The OPEDIPIS was developed using System Development Life Cycle Method (SDLC). SDLC consisted of 5 systems, they were investigation, analyze, design, implementation, and maintaining systems. The system is good for some disease that have symptoms in the vital body but it cant be used to cure the illness, this system can only recommend some prevention method to help stop spreading the disease.
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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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