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: 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: Characterizations of low alloy steel sae 4422  plated with chromic acid (Cro3)
Abstrak: Characterizations of low alloy steel SAE 4422 plated with chromic acid (CrOrO3) was use Optical Microscopy (OM), Scanning Electron Microscopy (SEM), X-Ray Diffraction (XRD), RD),Energy Dispersive Analysis of X-Ray (EDAX), Hardness Test and Roughness Test. Microstructures analysis exhibits cracks and grain boundaries microcracks as a characteristics of chrome metal found at plating metal. Perlite and Ferrite as grains of steel found at base metal with grain boundaries around it. Phase analysis of plating metal appropriate to chrome metal with lattice constant (a) is 2.559 Å and phase analysis of base metal appropriate to iron ferrite with lattice constant (a) is 3.318 Å. Both plating and base metal have cubic system. Chemical analysis of plating metal at surface section exhibits that cracks area have highest value of carbon element compare with grains and grains boundaries area. While chemical analysis of base metal at cross section exhibits that perlite have highest value of carbon element compare with ferrite and grain boundaries. The hardness value of plating metal at surface section and cross section are 753 and 637 VHN. While, the hardness value of base metal and interface area at cross section are 205 and 373 VHN. The roughness value at measurement points of chrome surface for as received sample are 0.445 μm. Observation used Optical Microscopy and Scanning Electron Microscopy exhibits surface irregularities combine to form surface texture of plating metal at surface section.
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