AbstrakAlgoritma kriptografi AES merupakan algoritma yang sering digunakan dalam menjaga kerahasiaan data. Kerahasiaan data merupakan parameter utama pengamanan data di berbagai sistem. Keamanan data dapat dicapai dengan mengkolaborasikan algoritma AES dengan algoritma kriptosistem lainnya. Oleh karena itu,perangkat keras pengeksekusi algoritma AES dengan sumber daya terbatas menjadi sangat penting. Penelitian ini mengusulkan rancang bangun purwarupaperangkat keras untuk eksekusi algorima AES yang mengutamakan pemakaian sumber daya optimalmenggunakan FPGA tanpa mengorbankan kecepatan eksekusi. Pengoptimalan sumber daya ditempuh dengan merancang perangkat keras untuk enkripsi dengan dekripsi yang saling berbagi sumber daya, menggunakan arsitektur iteratif pada level putaran, arsitektur pipeline pada level transformasi, dan lebar data 32 bit.Purwarupa perangkat keras pada penelitian ini menggunakan FPGA Xilinx Spartan®-6 Seri (XC6LX16-CS324) hasil pemodelan telah berhasil melakukan proses enkripsi dan dekripsi. Efisiensi perangkat keras yang dicapai adalah 1,94Mbps/Slice, sedangkan lewatan yang diperoleh adalah 308,96Mbps. Dengan pemakaian sumber daya hanya 6% dari yang tersedia pada FPGA.  Kata kunci—Algoritma AES, FPGA, resource sharing, iteratif, pipeline  Abstract AES cryptography algorithm is a tool which often using to protect confidentiality of data.Confidentiality of data is principle parameter of data security in various system. Data security achieve by collaborated AES algorithm with another cryptosystem tools. Therefore, limited resource hardware to excecuteAES algorithm is very important.            This research proposed hardware prototype for excecuting AES algorithm based on FPGA. Optimumresource utilizing become basic priority in this design. So that, we are using resource sharing between hardware for encryption and decryption, iteratif architecture on round level, pipeline architecture on transformation level with 32-bit architecture at design to attain optimum resource utilizing.            Hardware prototype in this research use FPGA Xilinx Spartan®-6 (XC6LX16-CS324), encryption and decryption have been done in this hardware prototype. This prototype have 1,94Mbps/Slice hardware efficiency, 308,96Mbps throughput with only using 6% resource that available on this FPGA. Keywords— AES Algorithm, FPGA, resource sharing, iterative, pipeline

Data integrity in high speed data transmission process is a major requerment that can not be ignored. High speed data transmission is prone to data errors. CRC (Cyclic Redundancy Check) is a mechanism that is often used as a detector errors in data transmission and storage process. When CRC is implemented using embedded software or processor, CRC requires many clock cycles. If CRC Generator implemented in special dedicated hardware, computational time reduced so that it can be met the high speed system communication requirement. This paper propose the design and implementation of CRC generator on FPGA that capable to minimaze computational time. The method is to reduce calculation latency by separating the coefficients of certain digits and calculating directly the result of  polinomial key modulo. CRC Generator in this paper was implemented on Xilinx Spartan®-6 Series (XC6LX16-CS324). The modeling results have succeeded  to finish computation on 1 clock cycle. Hardware eficiency is achieved 0.38 Gbps/Slice, while the throughput is 3,758 Gbps.

Single-frame depth prediction is an efficient 3D reconstruction method for one-side artifacts. However, for this purpose, ground truth images, where the pixels are associated with the actual depth, are needed. The small number of publicly accessible datasets is an issue with the restoration of cultural heritage objects. In addition, relief data with irregular characteristics due to nature and human treatment, such as decolorization caused by moss and chemical reaction is still not available. We therefore created a dataset of Borobudur temple reliefs registered with their depth for data availability to solve these problems. This data collection consists of 4608 × 3456 (4K) resolution and profound RGB frames and we call this dataset the Registered Relief Depth (RRD) Borobudur Dataset. The RGB images have been taken using an Olympus EM10 II Camera with a 14 mm f/3.5 lens and the depth images were obtained directly using an ASUS XTION scanner, acquired on the temple's reliefs at 15000–25000 lux day time. The registration process of RGB data and depth information was manually performed via control points and was directly supervised by the archaeologist. Apart of enriching the data availability, this dataset can become an opportunity for International researchers to understand more about Indonesian Cultural Heritages.