Judul: Pengembangan Modul Automatic Image Stitching Berdasarkan Citra UAV Lahan Pertanian Bawang Putih Menggunakan Algoritme SIFT dan DAISY
Abstrak: UAV dapat dikembangkan sebagai teknologi yang bersifat reliable karena memberikan fungsi dan manfaat untuk pengembangan lainnya. Salah satu penerapan teknologi UAV adalah dalam pengambilan citra. Namun teknik tersebut memiliki kekurangan yaitu citra diambil tidak secara menyeluruh, akan tetapi diambil satu per satu. Image stitching merupakan proses penyambungan beberapa citra gambar dengan dua atau lebih citra gambar yang sama menghasilkan gambar panorama atau citra yang beresolusi tinggi. Tujuan dari penelitian ini adalah membuat modul automatic image stitching dengan citra UAV area pertanian terutama pada lahan bawang putih di Sembalun, Lombok Timur menggunakan algoritme SIFT dan DAISY. Metode penelitian dilakukan menggunakan image stitching dengan tahapan pengambilan citra, penyambungan citra dan georeferensi citra. Hasil dari penelitian ini adalah citra udara gabungan yang sudah memiliki informasi geografis dan sudah sesuai dengan kondisi yang ada di lapangan yang dibuktikan dengan posisi citra yang sudah diterapkan dengan layer OpenStreetMap. Citra yang dihasilkan dapat dimanfaatkan untuk pengolahan data selanjutnya, baik untuk aplikasi QGIS atau lainnya, UAV can be developed as a technology that is reliable because it provides functions and benefits for other developments. One of the uses of UAV technology is for capturing images. However, this technique has a drawback, namely that the images are not taken as a whole, but are taken one by one. Image stitching is the process of joining several images with two or more of the same image to produce a panoramic image or high-resolution image. The purpose of this study is to create an automatic image stitching module with UAV images of agricultural areas, especially on garlic fields in Sembalun, East Lombok using the SIFT and DAISY algorithms. The study conducted image stitching with some stages of image retrieval, image splicing and image georeference. The results of this study are combined aerial images that already have geographic information and are in accordance with the conditions in the field as evidenced by the position of the image that has been applied with the OpenStreetMap layer. The resulting image can be used for further data processing, either for QGIS or other applications.
Keyword: DAISY, image stitching, SIFT, UAV

Judul: Aerial Image Processing with Image Stitching and Georeferencing Techniques for Land Mapping
Abstrak: Salah satu cara untuk mengelola sumberdaya lahan baik pada bidang pertanian, perkebunan, maupun pemukiman adalah dengan melakukan pemantauan dari citra udara menggunakan teknologi drone. Pada penelitian ini drone yang digunakan untuk mengambil citra udara adalah DJI Mavic Air. Citra udara diambil dari ketinggian 100 meter dengan sudut kamera tegak lurus ke bawah (-90°). Tiap citra harus terdapat bagian yang beririsan dengan citra sekelilingnya sekitar 60% untuk dapat disambungkan menggunakan aplikasi Image Composite Editor (ICE). Setelah itu, citra gabungan dilakukan georeferensi untuk memasukkan informasi koordinat geografis ke dalam citra. Titik koordinat ini diperoleh dari metadata lokasi GPS yang direkam pada tiap citra. Hasil yang diperoleh adalah citra udara gabungan yang sudah memiliki informasi geografis, sehingga dapat dimanfaatkan untuk aplikasi GIS selanjutnya., One way to manage land resources such as in agriculture, plantation, and urban area is from aerial imagery using drone technology. In this study, we used Dji Mavic Air to take aerial images. They are taken from a height of 100 meters with the camera angle pointed straight downward (-90°). Each image must intersect with the other surrounding images of about 60% to be successfully connected using the Image Composite Editor (ICE) application. After that, the combined image is georeferenced to insert the geographical coordinates information into the image. These coordinate points are obtained from the GPS location metadata that is recorded on each image. The result is a combined aerial image that has geographic information and can be processed further using GIS applications.
Keyword: aerial image, drone, georeferencing, image stitching, land mapping

Judul: Mercury Toxicity and It’s Effect on Histopathology Change of Nile Tilapia (Oreochromis niloticus).
Abstrak: Nile tilapia (Oreochromis niloticus) is one of fish species that oportunity to contaminated with mercury. The effects of pollutants can damage living organisms organs and can cause death. The effects caused mercury had acute or chronic character. The aims of this study are to determine threshold and acute toxicity of mercury chloride (HgCl2) of Nile tilapia (Oreochromis niloticus), to assess the effect of mercury chloride (HgCl2) on several biometric parameters (survival, growth rate of average daily weighted, liver condition, bile and reproductive variability of Nile tilapia (Oreochromis niloticus), assess the level of damage to the histological structure of the gills, liver and kidney of Nile tilapia (Oreochromis niloticus) caused mercury chloride (HgCl2) exposure. This study was conducted from February to June 2013. Nile Tilapia (Oreochromis niloticus) were used in this study were female with average weight 20 grams or 11-13 cm length range. Toxicant materials used in this study was mercury chloride (HgCl2). Fish were reared in each aquarium 60x40x30 containing 48 liters of water. This study consists of three stages: a preliminary test, acute test, and sub-chronic test. To determine the changes in biometric condition of tilapia approximated by measuring the survival rate (SR), the growth rate of average daily weight , the content of mercury in the fish organs, hepatosomatic index (HSI), the relative bile volume (VER), gonadal soamtic index (IKG), fecundity and oocit diameter, tissue damage caused by mercury in fish organs by making histological preparations stained with hematoxylin and eosin. The median lethal concentration (96 hr, LC50) of Mercury Chloride was calculated as 1,64 mgL--1.The survival rate was highest in the control treatment (46,67 %) . Mercury chloride with concentration 0.196 mgL--1 show significant effect to changes HSI and relative bile volume, and oocyte diameter of Nile tilapia (p < 0,05). Mercury chloride with a concentration of 0,164 mgL-1 and 0,196 mgL-1 have not a significant effect on the growth rate of weight, gonadal somatic index and fecundity of Nile tilapia (p > 0,05). Mercury chloride cause damage to gills (hyperplasia, hypertrophy, proliferation and neukrosis), liver (hyperplasia, hemorhage, shrinkage of hepatocytes, proliferation and neukrosis) and kidney (hyperplasia, hemorrhage, shrinkage of the glomerulus, proliferation and neukrosis).
Keyword: Nile tilapia, Hepatosomatic indexs (HSI), histopathology