Judul: Pembangunan Data Warehouse dan Aplikasi OLAP Kepegawaian Institut Pertanian Bogor
Abstrak: Sistem Kepegawaian IPB saat ini menggunakan SQL Server sebagai Database Management System (DBMS). Namun, sistem ini belum dilengkapi dengan aplikasi yang cukup untuk melakukan analisis data kepegawaian. Penelitian ini bertujuan untuk membangun data warehouse dan aplikasi OLAP untuk mendukung proses analisis data kepegawaian. Pembangunan data warehouse dan aplikasi OLAP ini menghasilkan tiga tabel fakta dan 10 tabel dimensi. Ketiga tabel fakta tersebut adalah DW_FactBiodataPegawai, DW_FactPendidikan, dan DW_FactPendidikanTime. Sedangkan dimensi yang dihasilkan adalah DW_DimKategoriUsia, DW_DimStatusPekerjaan, DW_DimStatusPegawai, DW_DimPendidikan, DW_DimTahunPendidikan, DW_DimJabatan, DW_DimUniversitas, DW_DimBidangIlmu, DW_DimTime, dan DW_DimDepartemen. Target yang dapat dikerjakan oleh aplikasi ini terdiri dari enam poin yang meliputi tiga inti penekanan kondisi kepegawaian, yaitu kategori usia, tingkat pendidikan, dan jabatan pegawai.
Keyword: Data warehouse, DBMS, Institut Pertanian Bogor, Kepegawaian, OLAP, SQL Server

Judul: Pembangunan Data Warehouse dan Aplikasi OLAP untuk Memantau Prestasi Mahasiswa Program Studi S1 Ilmu Komputer IPB
Abstrak: Many factors influence Department of Computer Science students achievement. The factors such as GPA, student supervisor, status of study, and sum of competition achievement. These factors can be analyzed with the data processing to find the information patterns that can increase the student’s achievement. The academic and non academic’s data of Program Study S1 Computer Science student spread in some location. This data make long running queries performance that complicated the analysis process. This research produce data warehouse which is integrated to online analytical processing (OLAP) that can represents data with graph and crosstab table. The OLAP server used in this research is Jedox 5.1. The data used are the academic and non academic’s data of IPB Computer Science students entry’s year 2006 to 2009. The steps being taken include analysis, design, preprocessing, and concluded with the implementation of data warehouse and OLAP operations. The data warehouse schema is created using the galaxy scheme. The result of research are three cubes (Research, Academic, and Achievement).
Keyword: OLAP, Jedox 5.1, data warehouse, academic’s data

Judul: Distribution and Diversity of Ectoparasite Mites on Geckos in Indonesia
Abstrak: Data on the diversity and dispersal of parasitic mites on house geckos in Indonesia are very scarce. In this work, the distribution and diversity of mites living on three species of house geckos, namely Cosymbotus platyurus, Hemidactylus frenatus, and H. garnotii collected throughout Indonesia, has been elaborated. Geckos and mites were captured and immediately preserved in 70% ethanol. Whole mount of the mites was prepared by clearing in lactophenol followed by mounting on polyvinyl lactophenol solutions. The SEM preparation was conducted to examine the detail morphological characters of the mites. The results showed that among 448 individuals of geckos, 221 geckos were infected by Geckobia mites. Prevalences of C. platyurus, H. frenatus, and H. garnotii infested by mites were 14.8%, 50.69%, and 79.6%, respectively. Three different spesies of Geckobia (G1, G2, and G3) could be differentiated; and based on similarities of their morphological characters to ones described in published literatures, Geckobia G2 is Geckobia glebosum and Geckobia G3 is Geckobia bataviensis while G1 could not be identified to the species level. The highest mean intensity of Geckobia G1 infestation was found on H. garnotii (I=7.0), G. glebosum infestation on H. frenatus (I=3.5), and G. bataviensis infestation on H. garnotii (I=11.8). In general, C. platyurus was infested by the least number of mites. Geckobia G1 were found living on the skin folds on the claws, G. glebosum were found mainly on the body and thigh, and G. bataviensis were found on almost all parts of the host’s body. Geckobia mites are distributed randomly throughout Indonesian Archipelago, following the pattern of distribution of their hosts. So it is concluded that Geckobia G1, G. glebosum, and G. bataviensis are sympatric.
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