Judul: Google merupakan salah satu situs (web) yang digunakan untuk mencari alamat web lain. Mesin pencari Google menggunakan pagerank pada halaman-halaman web untuk menentukan bagaimana halaman-halamanan web tersebut ditampilkan sebagai hasil pencarian suatu web. Prinsip kerja dari pagerank adalah pemeringkatan dari setiap halaman web. Tulisan ini memberikan formulasi masalah penentuan pola penyerangan suatu tim dengan dasar metode pemeringkatan. Metode pemeringkatan yang digunakan adalah metode pagerank Google. Metode tersebut diterapkan pada suatu tim basket untuk menentukan peringkat pemain dengan menggunakan data hasil pelemparan bola antara pemain. Data yang digunakan adalah data dari hasil pertandingan tim basket putri IPB pada pertandingan Liga Basket Mahasiswa (LIBAMA) Se-Jawa Barat tahun 2009. Data hasil pelemparan bola tersebut direkontruksikan sebagai digraf sisi berarah terboboti. Setiap sisi berarah menunjukkan hubungan pelemparan bola antara pemain dan terdapat bobot sebagai jumlah pelemparan bola. Berdasarkan data tersebut metode pagerank menyusun peringkat setiap pemain mulai dari peringkat tertinggi sampai peringkat terendah. Peringkat setiap pemain digunakan untuk menyusun strategi penyerangan suatu tim. Selanjutnya, sebagai pembanding tulisan ini menggunakan algoritme sleek untuk menyusun pola penyerangan suatu tim basket. Berdasarkan hasil penyusunan pola penyerangan suatu tim basket dengan Mathematica 7.0 didapat kesimpulan bahwa metode pagerank Google lebih baik dari algoritme sleek. Metode pagerank Google memberikan pola penyerangan yang sama dengan kondisi faktual.
Abstrak: Google is one of the websites used to find other web addresses. Google search engine uses pagerank on web pages to determine how pages are displayed as web search result. The principle of pagerank is the ranking of each web page. This paper gives formulation of determining the attack pattern of a sport team using a basis of ranking method. The ranking method is Google pagerank method. The method is applied to basketball team to rank the players by using data of ball passing between players. The data are collected from the result of IPB girl’s basketball team in the West Java students basketball league in 2009. The data are reconstructed as directional weighted digraphs. Each side of the direction shows the relationship between the players and there is a weight as the amount of the ball throws. Based on these data, the pagerank method ranks each player, starting from the highest to the lowest rank. The rating of each player is used to formulate an attack strategy of the team. Futhermore, the result show that Google pagerank method is better than sleek algorithm. Google pagerank method gives the same attack pattern with factual conditions.
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Judul: Pengembangan sistem simulasi pemeringkatan webometrics
Abstrak: Currently, university’s website is not only as university representation in internet but also as information and knowledge spreading media. University’s activity through website may reflects its quality whether good or not. A research group, Cybermetric Lab, trying to rank universities arround the world by using bibliometric and informetric approach. According to Webometrics team, the ranking measured based on four indicators: size means amount of web pages that indexed by search engine, visibility is means amount of incoming links from another website, rich file means amount of rich content documents that is indexed by search engine, and scholar means amount of jounal or scientific-related document that is indexed by search engine. Webometric ranking published twice yearly, therefore created system that could detemine website ranking everyday. The system determines the ranking based on webometrics indicator that the value of each indicator taken everyday from Yahoo! Search, Google Search, Bing Search, Exalead Search, and Google Scholar. Each indicator has a weight, 50% for visibility, 25% for size, 15% for each rich file and scholar. System outputs are indicator values and the ranking as chart and data-table.
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Judul: Sintesis 3-Benzoil-7-hidroksiflavon dari Resorsinol
Abstrak: Flavonoid is the most abundant naturally-occuring polyphenolic compound with C6-C3-C6 carbon skeleton. Flavones is a group of flavonoid having a broad bioactivity spectrum. In this experiment, 3-benzoyl-7-hydoxyflavone was successfully synthesized via 2-steps from resorcinol. In the first step, resorcinol was acetylated with AcOH/ZnCl2 producing resacetophenone with 89% yield. Subsequently, benzoylation and rearrangement of resacetophenone using 2 equivalent of benzoyl chloride and 7 equivalent of K2CO3 in acetone produced 3-benzoyl-7-hydroxyflavone with 62% yield. Synthesis of 3-benzoyl-7-hydroxyflavone from resorcinol provided evidence for new reaction mechanism of flavon formation without Baker-Venkataraman rearrangement proposed by several previous researchers. All products in this study has been characterized spectroscopically.
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