In economic development, transactions have become the routine of the people. Currently there are many transactions that are growing, one of which is Bitcoin. Bitcoin is one of the technologies of cryptocurreny which is then used. Bitcoin is a digital currency in the open source P2P payment network system. But the value of the Bitcoin body is not fixed, Bitcoin values often change over time. One of the causes of changing the value of Bitcoin is VGA. This role of VGA card to process Bitcoin encryption data because GPU (brain of VGA) has more core to process CPU, increase Bitcoin value and influence graphics card price. In this paper will rise the value of rising and falling value of Bitcoin which affects the price of the graphics card.Keyword: Bitcoin, Cryptocurrency, VGA, GPUAbstrakDalam perkembangan ekonomi, transaksi sudah menjadi rutinitas masyarat. Saat ini sudah banyak jenis transaksi yang berkembang, salah satunya adalah Bitcoin. Bitcoin merupakan salah satu teknologi dari cryptocurreny yang sering digunakan. Bitcoin adalah mata uang digital yang berada di dalam system jaringan pembayaran open source P2P. Namun nilai dari suatu Bitcoin tidak tetap, nilai Bitcoin sering berubah seiring berjalannya waktu. Salah satu penyebab berubahnya nilai dari Bitcoin adalah VGA. Peran VGA card ini untuk memproses enkripsi data Bitcoin karena GPU (otak dari VGA) mempunyai core yang lebih banyak untuk memproses instruksi dalam satu waktu dibandingkan CPU, sehingga naiknya nilai Bitcoin juga mempengaruhi harga kartu grafis. Dalam paper ini akan mengevaluasi perbandingan naik dan turunnya nilai Bitcoin yang mempengaruhi harga kartu grafis.Kata Kunci: Bitcoin, Cryptocurrency, VGA, GPU
Text document is an important source of information and knowledge. Most of the knowledge needed in various domains for different purposes is in form of implicit content. Content of text is represented by keyphrases, which consist of one or more meaningful words. Keyphrases can be extracted from text through several steps of processing, including text preprocessing. Annotated Suffix Tree (AST) built from the documents collection itself is used to extract the keyphrase, after basic text preprocessing that includes removing stop words and stemming are applied. Combination of four variations of preprocessing is used. Two words (bi-words) and three words of phrases extracted are used as a list of keyphrases candidate which can help user who needs keyphrase information to understand content of documents. The candidate of keyphrase can be processed further by learning process to determine keyphrase or non keyphrase for the text domain with manual validation. Experiments using simulation corpus which keyphrases are determined from it show that keyphrases of two and three words can be extracted more than 90% and using real corpus of economy, keyphrases or meaning phrases can be extracted about 70%. The proposed method can be an effective ways to find candidate keyphrases from collection of text documents which can reduce non keyphrases or non meaning phrases from list of keyphrases candidate and detect keyphrases which are separated by stop words.
Recently, the volume of biological data increases exponentially. Problem of utilization of this kind of data is not only concerning to the volume but also to its various format and storage distribution. To solve this kind of problems, some approaches require new methods, algorithms or tools to assist human being in getting beneficial from the biological data. This paper presents the usage of fractal dimension approach based on inter nucleotide distance to cluster DNA sequences. Inter nucleotide distance is a numerical representation of DNA sequences which is transformed to time series signal spectrum. Higuchi Fractal Dimension (HFD) is one of methods to estimate fractal dimension which it can be utilized to reduce time series dimension. HFD estimation then is applied to the signal spectrum and it is treated as input to clustering method. The result of this clustering shows that HFD approach can be considered as an alternative method for dimensional reduction purposes.Compared with previous study result as ground truth, the HFD approach clustering provides some similarities in certain degree. Tested with two kinds of data test sample, this approach results 6 and 7 group similarities of 10 groups.
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Bekasi merupakan salah satu wilayah yang rentan terhadap banjir dan macet. Biasanya banjir dapat merendam beberapa rumah pada wilayah tertentu dan menggenangi beberapa titik ruas jalan sehingga dapat mengganggu aktifitas warga, banjir ini di sebabkan oleh hujan yang mengguyur dan dari warga yang membuang sampah sembarangan terlebih lagi membuang ke sungai sehingga banjir dapat menyebabkan terjadinya macet. Macet tidak hanya di sebabkan oleh banjir akan tetapi di karenakan tingginya volume kendaraan sehingga tidak sebanding dengan badan jalan. Mengatasi hal tersebut, peneliti menyajikan informasi mengenai banjir dan macet melalui Sistem Informasi Geografis. Sistem informasi geografis adalah sistem berbasis geografis yang menyediakan info keruangan kepada public dimana di lakukan guna membangun suatu sistem yang diharapkan mampu membantu masalah pengguna mengenai daerah rawan banjir dan macet di daerah Bekasi, sehingga mampu mempermudah pengguna untuk mengetahui info untuk dapat mencari rute lain. Penelitian ini menggunakan metode Bellman Ford dimana metode ini untuk menemukan jalur terpendek.
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