Judul: Modul Extract, Transform, dan Load untuk Data Warehouse Pengamatan Cuaca Menggunakan Kettle.
Abstrak: Data warehouse merupakan teknologi yang dinilai dapat menangani permasalahan penumpukan data yang berukuran besar. Tahapan penting dalam pembangunan data warehouse adalah proses extract, transform, dan loading (ETL). ETL merupakan penghubung antara sumber data dengan data warehouse. Proses ETL secara manual dinilai tidak efektif dan efisien karena data yang cukup besar dan tersebar di berbagai sumber. Pada penelitian ini dilakukan perancangan dan implementasi modul ETL untuk data warehouse pengamatan cuaca yang dibuat dengan menggunakan perangkat lunak Kettle. Data yang digunakan penelitian ini adalah data pengamatan cuaca dari tahun 1986 hingga tahun 2016 yang diperoleh dari 170 stasiun cuaca di Indonesia, data lokasi stasiun cuaca dan data peta wilayah administratif Indonesia. Pengujian dilakukan dengan melakukan verifikasi dan validasi terhadap modul ETL yang dibangun. Penerapan modul ETL diharapkan dapat meningkatkan efisiensi sumber daya dan menekan biaya dalam implementasi data warehouse.
Keyword: cuaca, data warehouse, ETL, Kettle

Judul: Modul Extract, Transform, Dan Load Untuk Spatial Data Warehouse Titik Panas Menggunakan Geokettle
Abstrak: Teknologi spatial data warehouse merupakan salah satu solusi dari permasalahan penumpukan data spasial yang berukuran besar. Dalam pembuatan spatial data warehouse, proses extraction, transformation, dan loading (ETL) memiliki peran penting untuk menentukan kualitas data. Proses ETL secara manual membutuhkan waktu yang lama dan menghasilkan banyak query. Oleh karena itu, penelitian ini menggunakan perangkat ETL spasial untuk integrasi data spasial yaitu Geokettle. Adapun data yang digunakan adalah data titik panas seluruh Indonesia tahun 2006 sampai 2015 dan data administratif kabupaten di Indonesia tahun 2014. Penelitian ini membuat pemodelan ETL dengan tujuan penyederhanaan, penyesuaian, dan perancangan skenario ETL. Penelitian ini menghasilkan pemodelan ETL yang diimplementasikan menggunakan Geokettle. SpagoBI Studio digunakan untuk membuat kubus data multidimensi. Pengujian ETL dilakukan melalui Geokettle dan pengujian spatial data warehouse dilakukan dengan membandingkan total jumlah hotspot antara hasil query SQL dengan hasil analisis spasial hotspot pada Quantum GIS.
Keyword: ETL, spatial data warehouse, titik panas

Judul: The isolation and molecular identification of papillomavirus in macaca fascicularis and macaca nemestrina at animal facility of primate research centre – Bogor Agricultural University.
Abstrak: Cervical cancer is still regarded as a major cause of death in women world wide, hence research on papilloma viruses, their drugs and vaccines for the prevention are still continued. Papilloma virus is a DNA virus of the family papillomaviridae. Papilloma virions have no sheath, the diameter of 55 nm, and icosahedral capsid. The virus multiplies in the cell nucleus and causes chronic latent infection. The virus genome has a circular form, 8 kbp in length with 8 open reading frames. The genome is divided into early (E) and late (L) genes. The E gen synthesizes 6 E proteins, namely E1, E2, E4, E5, E6 and E7, which are linked into the process of viral replication and oncogenes. Meanwhile, the L gene synthesizes 2 proteins, the L1 and L2, which are related to the formation of the capsid (Hakim 2010). In order to obtain the best result of the cancer research, it is highly requested to obtain appropriate animal model that reflect aspects of human disease. Non-human primates have high similarity with humans, both in terms of the evolution of the genetic, anatomical, physiological, biochemical and organ systems, as well as in cancer genes. Non-human primates of the genus Macaca is a genus with the highest distribution worldwide, from Japan to Afghanistan. So far, there are 22 species are included in the genus Macaca. Originally rhesus monkeys or M. mulatta are widely used for biomedical research, but since the Indian government imposed a ban on importing these animals, then Macaca fascicularis (Long-tailed Macaque, cynomolgus) and Macaca nemestrina (Pig-tailed Macaque), which has high population in Southeast Asia, began to be used as research animal. Various medical aspects related to both species are commonly studied by many researchers as an animal model for human diseases. This study is using the polymerase chain reaction (PCR) method and nucleotide tracking to identify papillomavirus tipes that infect the genital tract of Macaca fascicularis and Macaca nemestrina, which is kept in breeding facilities of Primate Research Center, IPB. The analysis of nucleotide sequences were performed using the Clustal W 2.1 and 5.1 Mega program. The establishment of phylogenetic tree using neighbor joining with 1000 times bootstrap repetition. The results showed that the papillomavirus that infect Macaca fascicularis was 32.7% (78/238) and Macaca nemestrina 12% (4/31). Both species were infected by Macaca fascicularis papillomavirus (MfPV) tipe 3, 4, 5, 7 and 9, belongs to the genus Alpha papillomavirus with homology of 80 - 100%. Papilloma virus that infected the pig-tailed macaque was the same tipe of papillomavirus that infected the cynomolgus with similarity between 82% - 99% based on L1 region. To further explain the tipes of papilloma viruses that infected the pig-tailed macaque, it is necessary to identify the entire genome of the virus. To determine the tipe of the virus, it requires the identification of a more complete nucleotide sequence. It is interesting because papillomavirus that infected the pigtail macaques has 76% homology with the HPV tipe 52. This is the first report on the incidence of papillomavirus infection in the pigtail macaque genome that further analysis
Keyword: Papillomavirus, cervic cancer, animal model, Macaca fascicularis, Macaca nemestrina