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: 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: Mud Crab’s (Scylla serrata Forskal 1775) Response to Different Decaying Level of Gold Snail (Pomacea canaliculata Lamarck 1822) Bait.
Abstrak: Mud crab is well known as omnivorous-vigorous-voracious-opportunistic-scavenger. These intertidal animals applies mainly chemoreception in their predatory behaviour. It has been commonly assumed that non fresh gold snail bait is better than fresh bait in stimulating the mud crab. This research's aim is to analyze mud crab response to different decaying level of gold snail bait. Their response were observed as time required to touch the bait and pattern and direction of the mud crab in approaching the baits. The different decaying level of gold snail baits were shown on Total Volatile Base Nitrogen (TVBN) as 16.3 mg/100g (0 day); 534.1 mg/100g (3 days); and 887.4 mg/100g (6 days). The research was conducted from July 2009 until February 2011. The TVBN test for gold snail baits were conducted at Laboratory of BBPPHP Jakarta. The experiment was conducted in Pemalang. The result showed that the average period of mud crabs to touch the baits were 52.14 minutes; 61.57 minutes and 52.57 minutes. Anova test concluded no sufficient evidence of significant effect of TVBN content of gold snail bait on mud crab’s feeding behaviour. Movement pattern B, i.e. left and right deviation followed by straight forward movement to the bait, was commonly exhibited by the crabs. Consequences of time period required by the mud crab to approach the bait on fishing operation is discussed.
Keyword: