Judul: Ekstraksi Label Koleksi Spesimen Serangga Berdasarkan Pengolahan Citra Digital
Abstrak: Proses digitasi sangat penting untuk memudahkan juga mempercepat akses dan pengumpulan data keanekaragaman hayati yang masih tersimpan di laci museum atau tersimpan dalam publikasi tercetak yang sulit diakses. Penelitian ini fokus kepada ekstraksi label koleksi spesimen serangga berbasis citra digital yang dapat mengekstraksi banyak label secara otomatis. Metode pada penelitian.ini dimulai dari akuisisi citra menggunakan kamera digital single-lens reflex dengan resolusi 12 megapiksel. Citra yang didapatkan diubah ke dalam citra grayscale. Setelah itu, label pada citra laci spesimen disegmentasi dengan kombinasi operasi sobel, thresholding, closing, dan penelusuran kontur. Tulisan pada label diekstraksi dengan menggunakan pustaka Tesseract. Label dan teks yang dapat diekstraksi secara otomatis. Selain itu, dilakukan juga perancangan aplikasi desktop untuk visualisasi hasil ekstraksi. Akurasi yang didapatkan untuk proses segmentasi label adalah 94.44%, dan akurasi pengenalan tulisan pada label mencapai 77.98%
Keyword: digitization, informatics biodiversity, insect drawers, insect museum, OCR.

Judul: Pemantau Otomatis Aktivitas Lebah Madu Apis cerana Keluar-Masuk Sarang Menggunakan Pemrosesan Citra
Abstrak: Lebah madu Apis cerana adalah serangga sosial yang hidup berkoloni. Kelimpahan dari lebah dipengaruhi kondisi lingkungan. Lebah pekerja dari Apis cerana bertugas untuk mencari pakan untuk koloninya. Pengamatan aktivitas keluar-masuk dari lebah pekerja diperlukan untuk mendeteksi fenomena Colony Collapse Disorder (CCD). Pada penelitian ini telah dibuat alat yang dapat menghitung secara otomatis banyaknya aktivitas keluar-masuk sarang dari lebah pekerja A. cerana yang telah ditandai dengan cat minyak berwarna merah, hijau, biru, dan kuning pada bagian toraks. Pendeteksian obyek lebah tersebut dilakukan dengan pemrosesan citra menggunakan modul kamera dan mini-komputer Raspberry Pi yang diprogram dengan bahasa pemrograman Python dan dibantu dengan library OpenCV. Selain untuk mendeteksi lebah, alat ini juga dilengkapi oleh sensor suhu, kelembaban, serta intensitas cahaya untuk mengetahui kondisi lingkungan di sekitar sarang lebah.. Citra yang diperoleh berkorelasi dengan dengan intensitas cahaya yang masuk ke dalam lorong di depan sarang. Pengamatan dilakukan pukul 08.00 – 17.00. Aktivitas keluar-masuk dari setiap kelompok lebah yang telah ditandai menunjukkan pola yang berbeda yang berkorelasi juga dengan kelembaban lingkungan. Aktivitas keluar-masuk tertinggi terjadi sekitar pukul 08.00 hingga 09.00, kemudian pada waktu berikutnya aktivitas menurun dan meningkat kembali sekitar pukul 13.00 hingga 14.59.
Keyword: colony collapse disorder, lebah madu, opencv, pemrosesan citra, raspberry pi

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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