ABSTRAKI. PENDAHULUAN erkembangan teknologi komputer yang sangat pesat telah mendorong pengembang game untuk mencari inovasi-inovasi baru di dalam produk game mereka, sehingga akan menarik minat pengguna untuk memainkan game tersebut. Tujuan dari pembuatan game adalah sebagai sarana hiburan bagi penggunanya, untuk itu dalam pembuatan sebuah game diperlukan perancangan agar tujuan tersebut dapat tercapai.Salah satu jenis game yang populer saat ini adalah game berjenis RPG. Role Playing Game (RPG) adalah sebuah permainan yang memungkinkan pemain untuk terlibat secara langsung di dalam perencanaan strategi dan alur di dalam permainan untuk mencapai suatu tujuan tertentu [1]. Kemajuan teknologi saat ini memungkinkan penggunaan komputer untuk memvisualisasikan permainan RPG sehingga memberikan pengalaman bermain dan P
<p>Subject indexing is the act of describing or classifying a document by index terms or other symbols in order to indicate what the document is about, to summarize its content or to increase its findability. The selection of term candidate on automatic subject indexing is very important, because it can influence the result of topic extraction on document. Recently on the automatic subject indexing especially in the term candidate selection only consider terms in the document collection. In contrast, indexer prefers to choose general term on manual subject indexing for selection of term candidate. In this paper, we proposed a new strategy for selecting term candidate on automatic subject indexing for extraction the main topic from the document. The proposed method uses a combination of Term Frequency Inverse Document Frequency (TF*IDF) and Random Walk on the structure of thesaurus. Experimental results show that the proposed method can select the terms candidate that relevant to the topic of the document with F-Measure of 0.24.</p>
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