Genomic repeats, i.e., pattern searching in the string processing process to find repeated base pairs in the order of Deoxyribonucleic Acid (DNA), requires a long processing time. This research builds a big-data computational model to look for patterns in strings by modifying and implementing the Boyer-Moore algorithm on Apache Spark Streaming for human DNA sequences from the Ensemble site. Moreover, we perform some experiments on cloud computing by varying different specifications of computer clusters with involving datasets of human DNA sequences. The results obtained show that the proposed computational model on Apache Spark Streaming is f aster than standalone computing and parallel computing with multicore. Therefore, it can be stated that the main contribution in this research, which is to develop a computational model for reducing the computational costs, has been achieved.
Currently the development of information technology has driven the development of e-commerce which is quite promising in Indonesia. This development has brought an era of new digital-based creative developments. Agriculture as one of the economic and community welfare bases in Indonesia needs to be developed and supported with digital finance. Several agricultural markets have been established in Indonesia to help farmers to participate in digital economic activities. Some e-commerce systems that have been built in Indonesia only help the downstream process or the marketing process. While farmers need information that can help them for agricultural purposes. Machine learning technology uses data collected in the agricultural marketplace system to be used in building a social assessment system. Recommendations for agricultural activities are adjusted to the cost of agriculture, location of agriculture, pricing of agricultural commodities at the time of receipt and timing of agricultural activities. In this research an analysis and design of an agricultural e-commerce system will be provided to provide farmers to sell their agricultural products at competitive prices and help farmers to obtain information that can be used to plan further agricultural activities.
The development of information technology has brought an era of new digitalbased creative developments. In Indonesia, agriculture is one of the economic and community welfare which needs to be developed and supported with the information technology. Marketplace is one of the technologies commonly used to support economic growth. This study aims to create an electronic marketplace architecture model that is in accordance with the characteristics of business actors in agribusiness. The marketplace architecture is built based on the architecture of the Next Generation E-Commerce Platform and Agriculture Supply Chain Management.
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