Judul: Pemilihan parameter pengolahan citra yang optimal untuk penghitungan benih dan telur ikan
Abstrak: The aim of this research is to determine the optimal image processing parameters consisting of thresholding level and ratio of fish school area in order to count the number of fish jouveniles or eggs with image processing method. The thresholding level was determined with two methods: 1) Percentile of fish image grey scale, and 2) Pointing the fish image color. The percentile threshold value for 0.5 cm gouramy was 75, 3-4 cm catfish, 1 cm tilapia, and 1″ pangasius were 70, 5 cm carp and 1 cm gouramy were 50, eggs of gouramy was 90, and 3 cm red tilapia was 25. Ratio area of jouveniles fish school with average area of one jouvenile has different value depent on the fish type. Ratio of fish school eggs was bigger than fish school. Percentile of grey scale threshold showed accuracy for jouveniles of catfish was 90.07%, 1″ pangasius was 84.75%, 1 cm gouramy 86.11%, 0.5 cm gouramy was 86.09%, and eggs of gouramy was 91.72%. Fish image color threshold showed accuracy for jouveniles of tilapia was 93.33%, 1″ pangasius was 90.00%, catfish was 80.65%, 1 cm gouramy was 93.29%, 0.75 cm gouramy was 89.82%, 0.5 cm gouramy was 84.90%, and eggs of gouramy was 91.72%.
Keyword: image processing, fish jouveniles counting

Judul: Pengembangan Metode Penghitungan Benih Ikan Lele dengan Pengolahan Citra dan Penimbangan Benih
Abstrak: Alternative methods for jouvenile fish counting to replace the manual method are image processing method and mass measurement method. Image processing is one of the computer algorithms that can observe and analyze an object without direct contact with the object being observed. The image of jouvenile fish was taken by using a container attached to a holding frame with a digital camera on its top. The resulted image was processed with a Visual Basic program to determine the area of jouvenile fish. The jouvenile fish area was then used to determine the number of fish. Based on the image analysis on the jouvenile size of 7.8 cm, the average area obtained was of 871 pixels with the standard deviation of 112 pixels. The jouvenile mass was measured manually on each sample. The average mass of jouveniles was 2.17 g with a standard deviation of 0.66 and an average body length of 6.48 cm. The measurement results were then used for the simulation data with Microsoft Excel. The simulation was to calculate the probability of certain jouvenile mass occurrences. The accuracy of image processing was quite high, that is, the calculation error was 4% for image capturing 0 second after fish release, 3% for 5 second after release, 5% for 10 second after release and 10% for 15 seconds after release in the grade 3-4 cm. In the grade 5-7 cm the average error was 6% for image capturing 0 second after fish release, 4% for 5 second after release, 7% for 10 second after release and 14% for 15 second after release. The best accuracy was obtained when image was taken at an interval of 5 seconds. The error of mass measurement method as it is compared to manual counting was 3.5 %, while the simulation of mass measurement method error was 2.3%.
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Judul: Manajemen dan Pengembangan Perusahaan Leasing di PT. Tamsan Dharma
Abstrak: PT. Tamsan Dharma pada awalnya adalah anak perusahaan Koperasi Dharma yaitu Koperasi yang didirikan oleh Serikat Pekerja Karyawan Bank BNI Kantor Wilayah 10. Perusahaan ini bergerak dalam bisnis otomotif yang terbagi dalam 4 (empat ) bidang kegiatan yaitu transportasi, trading, rental dan finance. Kegiatan yang dominan saat ini adalah bidang pembiayaan (finance) otomotif PT. Tamsan Dharma adalah perusahaan yang memberikan jasa pembiayaan dengan sistem sewa beli, dimana perusahaan menahan BPKB dan akan dikembalikan apabila konsumen melunasi hutangnya secara mengangsur tiap bulannya.
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