Judul: Pengembangan data warehouse program tracking stasiun TV di Indonesia
Abstrak: Stasiun TV berusaha untuk meningkatkan rating, sharc dan jumlah penonton dengan memperhatikan biaya produksi yang dikeluarkan. Data stasiun TV yang berisi rating, share, jumlah penonton, dan biaya produksi adalah data program tracking. Data program tracking diterima stasiun TV dari perusahaan penyedia data setiap minggu. Data acara tersebut menjadi acuan dalam menganalisis potensi sebuah acara. Untuk mernudahkan proses analisis, maka dibuat data warehozise yang mempakan tempat penyimpanan data yang terintegrasi, multidimenri, dan menampilkan data dalam suatu bentuk yang diharapkan akan memudahkan proses analisis dalarn pembuatan keputusan.Hasii dari penelitian ini adalah suatu data warehozise untuk data program tracking dan suatu OLAP browser yang mempunyai fasilitas untuk menambah data yang datang setiap minggunya dan visualisasi berupa tabel pivot dan diagram batang dalam menampilkan data numerik dan tabel relasional untuk menampilkan data kategorik. Visualisasi ini dibuat untuk rnempermudah pengguna dalam melihat data dalam proses analisis.Kata Kunci : Data warehozise, Multidimensi, Online Analytical Processing (OLAP), Skema bintang.
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Judul: The application of cluster and biplot analyssis for television program rating data
Abstrak: Television is one of the greatest inventions in 20th century. It can provide people with the actual news and information and also at the same time give them entertainment. The television industry has grown rapidly in the past 15 years since the government permits the establishment of commercial TV stations. As the medium of information, television has become the main choice for companies to advertise their products. Since there are eleven TV stations in Indonesia, advertisers have to make plan and strategy to broadcast the advertisement. Through proper statistical analysis, the information about which TV station should be chosen and when to broadcast the advertisement can be obtained. Data used in this study was secondary data from Nielsen Media Index from February 1-29th 2004, which was subscribed by Hotline Advertising. The data contains television rating for every programs that was broadcasted by eleven TV stations on February 2004. The results from cluster analysis on February 2004 categorize the eleventh TV stations into five groups/clusters. Each cluster has their own characteristics that are very useful for the advertisers. By constructing biplot, the information of strategic time on every day for each TV station can be obtained. The results from the biplot were suitable to explain the conditions that occur on February.
Keyword: cluster and biplot analysis, television, rating

Judul: Insecticidal Activity of Essential Oils Leaves of Cinnamomum spp. (Lauraceae) against Crocidolomia pavonana and Their Phytotoxicity on Broccoli Seedlings
Abstrak: Essential oils from leaves of 13 species of Cinnamomum were tested for their insecticidal activity on the cabbage head caterpillar Crocidolomia pavonana with leaf immerse method. The results showed that the treatment with 1% (w/v) essential oils leaves of C. celebicum, C. multiflorum, C. sintoc, and C. verum caused 21.45, 93.65, 60.30, and 76.10% mortality, respectively. Based on the results of phytotoxicity and insecticidal activity tests, C. multiflorum oil was further tested at 6 concentration levels. In all treatments, larval mortality has occurred at 24 hours after treatment (HAT) and increased at 48 HAT. LC50 of C. multiflorum oil at 24 and 48 HAT was 0.504 and 0.396%, respectively. The treatment with C. multiflorum oil at ≤0.31% did not inhibit the development of C. pavonana larvae. Determination of the chemical constituents of Cinnamomum oils were carried out by gas chromatography-mass spectrometry (GCMS). Totally, 345 compounds were identified. Methyleugenol constituted the main component (49.4%) of leaf essential oil of C. multiflorum and was assumed to be responsible for the insecticidal activity of the oil against C. pavonana larvae. LC50 of pure methyleugenol obtained at 0.365% (48 HAT) and 0.363% (72 HAT). The results showed that C. multiflorum was more effective with LC50 value equivalent to methyleugenol content of 0.32% (24 HAT) and 0.24% (48 HAT).
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