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: Web-based Geographic Information System of Unmanned Aerial Vehicle (UAV) Imagery for Agricultural Land Management
Abstrak: Manajemen informasi pertanian terdiri dari lahan dan komoditas yang dibudidayakan membutuhkan pengelolaan secara sistematis dan terstruktur. Salah satu metode yang dapat digunakan adalah dengan menerapkan Sistem Informasi Geografis. Salah satu informasi yang dapat disajikan adalah citra Unmanned Aerial Vehicle (UAV) yang merupakan tangkapan dari kamera. Namun demikian pengelolaannya belum optimal, sehingga diperlukan sistem untuk mengelola informasi tersebut. Penelitian ini bertujuan untuk melakukan rancang bangun Sistem Informasi Geografis citra UAV untuk pengelolaan lahan pertanian berbasis web di Kabupaten Muaro Jambi, Provinsi Jambi, Indonesia. Metode penelitian terdiri atas tahapan analisis sistem, pengambilan data citra UAV, desain sistem, dan implementasi sistem. Hasil dari penelitian ini adalah prototipe sistem informasi geografis citra UAV lahan pertanian berbasis web yang dapat bekerja dengan baik., Management of agricultural information consisting of cultivated land and commodities requires systematic and structured management. One method that can be used is by implementing a Geographical Information System. One of the information that can be presented is the image of the Unmanned Aerial Vehicle (UAV) which is a capture from the camera. However, the management is not optimal, so a system is needed to manage the information. This study aims to design a UAV image Geographic Information System for web-based agricultural land management in Muaro Jambi District, Jambi Province, Indonesia. The method was used in this research was the System Development Life Cycle that consists of system analysis, data collection, design, and implementation. The result of this research is a web-based geographic information system prototype of agricultural land UAV images.
Keyword: geographic information system, UAV imagery, web

Judul: Truncated Stop Loss as a Optimal Solution of Reinsurance Agreement in One-Period Model
Abstrak: Reinsurance is one of risk management efforts of an insurance company, which is called the cedent. Similar with insurance, reinsurance constitutes the cedent to pay the premium. We consider one-period reinsurance model and derive a rule which minimizes the ruin probability of the cedent for a fixed reinsurance premium. Therefore, it is needed to construct an optimal reinsurance agreement for the cedent. The premium is calculated according to four different principles, i.e. economic, generalized zero-utility, Esscher, and mean-variance principles. Stop loss is a reinsurance contract which protect the insurance company for losses that exceed a certain amount. The result of this research shows that a truncated stop loss is an optimal agreement in the class of all reinsurance contracts with various premiums calculated using above mentioned principles.
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