Judul: Pemetaan Zona Geomorfologi dan Habitat Bentik dengan Menggunakan Citra SPOT-7 dengan Menggunakan Metode OBIA di Pulau Kelapa Dua.
Abstrak: Keberadaan habitat bentik di perairan dangkal sangat penting karena memiliki banyak manfaat. Tujuan penelitian ini adalah memetakan distribusi habitat bentik berdasarkan zona geomorfologi karang menggunakan citra SPOT-7. Penelitian ini dilakukan di Pulau Kelapa Dua, Kepulauan Seribu, DKI Jakarta. Penelitian ini menggunakan metode Object Based Image Analysis (OBIA) dan diklasifikasikan menggunakan algoritma Supported Vector Machine (SVM) untuk level 3 segmentasi. Hasil klasifikasi pada level 1 berupa 3 kelas yaitu laut dangkal, laut dalam dan darat. Hasil pada level 2 terdiri dari 3 kelas zona geomorfologi yaitu reef flat, reef crest dan reef slope. Hasil klasifikasi Level 3 memiliki 6 kelas habitat bentik yaitu lamun, pasir, makroalga, karang hidup, Karang mati dengan alga dan rubble. Hasil klasifikasi menghasilkan nilai akurasi keseluruhan sebesar 60.64% .
Keyword: Citra SPOT-7, Habitat Bentik, Metode OBIA, Pulau Kelapa Dua, Zona Geomorfologi

Judul: Klasifikasi Habiat Bentik Menggunakan Citra SPOT-7 di Perairan Dangkal Pulau Harapan dan Pulau Kelapa, Kepulauan Seribu.
Abstrak: Penggunaan citra satelit merupakan cara yang efektif untuk melakukan pemetaan habitat bentik dasar perairan dangkal. Citra satelit yang memiliki resolusi tinggi mampu memberikan hasil kelas habitat bentik dengan baik. Akurasi citra merupakan hal penting dalam pemetaan klasifikasi habitat bentik dasar perairan. Penelitian ini bertujuan untuk memetakan habitat bentik perairan dangkal di Pulau Harapan dan Pulau Kelapa dan menguji tingkat akurasinya. Metode yang digunakan adalah algoritma komposit RGB 321 dan transformasi DII serta menggunakan klasifikasi maximum likelihood. Skema klasifikasi yang digunakan sebanyak 11 kelas. Hasil klasifikasi citra komposit RGB 321 dan klasifikasi maximum likelihood menunjukkan habitat dasar karang hidup dan habitat pasir rubble lebih mendominasi. Pada hasil klasifikasi dengan metode DII dan klasifikasi maximum likelihood kelas habitat rubble alga dan pasir rubble alga lebih mendominasi. Akurasi dari hasil klasifikasi dengan komposit RGB 321 dengan maximum likelihood menunjukkan nilai yang lebih besar dibanding dengan transformasi DII, yakni mencapai 66,66%, sedangkan klasifikasi dengan transformasi DII adalah sebesar 24,07%.
Keyword: habitat bentik, SPOT-7, klasifikasi, akurasi

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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