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: Pembangunan spatial data Warehouse berbasis Web untuk persebaran hotspot di wilayah Indonesia
Abstrak: A data warehouse is a repository of data organized following a multidimensional model in order to be analyzed by On-Line Analitycal Processing (OLAP) applications. Data warehouse and OLAP systems help to interactively analyze huge volumes of data. Spatial data warehouse refers to integration of spatial data in multidimensional data model of which the analyses result is the basic of strategic decisions. In order to include spatial information as a result of decision-making process, we developed data warehouse intended to explore data related to space i.e. spatial data. This research develops spatial data warehouse and spatial OLAP for hotspot distribution in Indonesia using Geomondrian. Geomondrian is a web-based spatial OLAP integrated solution supporting spatial dimensions and measures, and providing interactive pivot tables and diagrams displays. Geomondrian as spatial OLAP server can execute OLAP operations with spatial data including roll-up, drill-down, dice, slice, and pivoting.
Keyword: Spatial data warehouse, Spatial OLAP, Geomondrian, Hotspot, Bogor Agricultural University, Institut Pertanian Bogor, IPB

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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