Judul: Rancang Bangun Sistem Pemantauan Lingkungan Laut Pendukung Aplikasi Marikultur Cerdas K1000 dengan Protokol MQTT
Abstrak: Kelompok Sea Farming merupakan sebuah kelompok masyarakat yang menerapkan kegiatan marikultur. Kelompok Sea Farming sangat membutuhkan sistem yang dapat memantau lingkungan laut. Variabel lingkungan laut yang mereka butuhkan ialah suhu dan kelembaban udara, suhu air laut dan kadar dissolved oxygen (DO). Pemantau lingkungan laut berfungsi untuk menentukan kapan mereka harus mencuci ikan. Pencucian ikan dilakukan dengan berdasarkan perubahan suhu dan kelembaban udara, suhu air dan kadar Do. Penelitian ini ditujukan untuk merancang dan membangun arsitektur IoT menggunakan protokol MQTT untuk mengoptimasi proses budi daya ikan kerapu pada keramba jaring apung, yaitu dengan pemantauan lingkungan laut pada keramba dengan menggunakan sensor yang terhubung dengan internet dan ditampilkan pada aplikasi secara real-time. Manfaat dari sistem yang dibuat diharapkan dapat membantu nelayan dalam memantau dan menyimpan data dari perubahan lingkungan laut serta mendukung pengembangan aplikasi Marikultur Cerdas K1000. Hasil Penelitian ini telah berhasil dalam merancang dan membangun sistem pemantauan lingkungan laut dengan arsitektur internet of things. Yaitu mulai dari pengambilan data dari sensor hingga pengiriman data masuk ke database dan menampilkan ke dalam grafik. Selain itu, keseluruhan pengujian kunci dan iot policy menunjukkan komunikasi data IoT menggunakan layanan AWS terjamin keamanannya. Dengan delay 0.005 detik, paket loss 0% dan overhead sebesar 36.8%.
Keyword: marikultur, MQTT, pemantauan, pencucian ikan, Sea Farming

Judul: Pengembangan Modul Back End Aplikasi Marikultur Cerdas K1000 menggunakan Metode Prototyping
Abstrak: Kepulauan Seribu DKI Jakarta memiliki potensi marikultur (budidaya laut) yang cukup besar. Sistem budidaya yang umum digunakan oleh pembudidaya adalah Keramba Jaring Apung (KJA). Isu dan permasalahan marikultur di kawasan tersebut adalah mortalitas, penyakit, pakan, benih, dan kerugian usaha. Pembudidaya Kepulauan Seribu membutuhkan bantuan aplikasi untuk memecahkan masalah tersebut. Penelitian ini akan berfokus pada pengembangan modul back end menggunakan metode prototyping. Prototipe dibuat dengan framework Laravel dan basis data My Structure Query Language (MySQL), serta menggunakan arsitektur Representational State Transfer Application Programming Interface (REST API). Pengembangan modul back end dilakukan untuk menghasilkan API yang berguna dalam menyeleraskan antar muka dengan fungsi yang dibutuhkan oleh pembudidaya. Pengembangan dilakukan menggunakan metode prototyping sebanyak dua iterasi. Setelah melakukan pengujian, API yang dibuat telah berhasil memenuhi kebutuhan tim front end dan tim Internet of Things (IoT) dalam mengembangkan Aplikasi Marikultur Cerdas K1000.
Keyword: Back end, budidaya laut, Kepulauan Seribu, monitoring

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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