Judul: Aplikasi Multidimensional Analysis dan Location Intelligence untuk Spatial Data Warehouse Titik Panas di Indonesia Menggunakan SpagoBI
Abstrak: Spatial data warehouse mengacu pada data warehouse yang memiliki komponen data spasial yang merepresentasikan posisi atau lokasi geografis dari suatu objek di permukaan bumi. Spatial data warehouse dapat divisualisasikan dalam bentuk tabel crosstab, grafik, dan peta. Spatial data warehouse titik panas di Indonesia yang telah dibangun oleh peneliti sebelumnya berasal dari FIRM NASA tahun 2006 – 2015. Penelitian ini membangun modul multidimensional analysis dan modul location intelligence menggunakan SpagoBI. Modul multidimensional analysis dapat melakukan visualisasi online analytical processing (OLAP). Modul location intelligence dapat melakukan visualisasi peta dinamis dalam bentuk map zone dan map point. Map zone dapat menampilkan perbedaan warna berdasarkan jumlah titik panas di setiap kabupaten dan map point dapat menampilkan ukuran titik peta yang merepresentasikan besarnya jumlah titik panas di setiap kabupaten. Penelitian ini diharapkan dapat memudahkan pengguna dalam penyajian data titik panas sesuai kebutuhan.
Keyword: location intelligence, multidimensional analysis, OLAP, spatial data warehouse

Judul: Modul Static Location Intelligence untuk Spatial Data Warehouse Titik Panas di Indonesia menggunakan Spagobi GEO Engine
Abstrak: Titik panas (hotspot) adalah salah satu indikator kebakaran hutan yang mendeteksi suatu lokasi yang memiliki suhu relatif tinggi dibandingkan suhu di sekitarnya. Data titik panas terdiri atas data spasial yang merepresentasikan posisi atau lokasi geografis dari suatu objek di permukaan bumi yang terkumpul dalam jumlah yang sangat besar. Oleh karena itu, diperlukan teknologi spatial data warehouse sebagai solusi dari permasalahan penumpukan data spasial dalam jumlah besar. Penelitian ini bertujuan menambahkan modul static location intelligence pada visualisasi spatial data warehouse menggunakan SpagoBI GEO engine. Spatial data warehouse titik panas di Indonesia yang digunakan pada penelitian ini diperoleh dari peneliti sebelumnya untuk rentang bulan Januari 2006 sampai bulan Januari 2015. Selain itu, penelitan ini menggunakan peta administratif kabupaten dan provinsi di Indonesia tahun 2014. Hasil dari penelitian ini berupa aplikasi untuk visualisasi peta statis SVG yang terintegrasi dengan spatial data warehouse titik panas. Selain itu, modul ini terintegrasi dengan reporting dalam bentuk tabel dan grafik yang ditampilkan pada tab baru untuk wilayah yang dipilih.
Keyword: hotspot, SpagoBI GEO engine, spatial data warehouse, static location intelligence

Judul: Biological Characteristics of Jatropha curcas Trimonoecious
Abstrak: Physic nut (Jatropha curcas L.) is an original plant from tropical America belonging to the family of Euphorbiaceae and an annual plant of monoecious. Commonly J.curcas have male and female flowers on the same plant. There are currently some J. curcas which have hermaphrodite flowers from monoecious plants, but very rarely. J. curcas with hermaphrodite flowers are classified as andromonoecious type (having hermaphrodite and male in the same plant) and trimonoecious type (having male, female, and hermaphrodite flowers in the plant). Trimonoecious plants with hermaphrodite flowers were tend to perform self-pollination (geitonogamy) and produce a homogenous and high-productivity in next generation. J. curcas plants is difficult in differentiating between monoecious and trimonoecious plants when it seedling, and this is a limiting factor to know development of trimonoecious J. curcas. Trimonoecious J.curcas can be identified after six months of planting, and when it have started flowering. Therefore, the trimonoecious J. curcas biological characteristics needs to be an observation. The trimonoecious trait in J. curcas plants can be identified through several analyses, i.e. the analysis of agronomical characteristics, the chromosomes analysis, the isozyme analysis, and the analysis of pollen viability. The study was conducted in December 2011 - February 2013. The experiments were conducted using the Randomized Complete Block Design for one factor, the J. curcas genotype with 5 replicates. Each unit of the experiment consisted of 5 plants. Aagronomics characteristic analyses were conducted using analysis of variance (ANOVA) followed by the Duncan Multiple Range Test (DMRT) at 5% level. The classification of heritability and Genetic Variation Coefficient (GVC) criteria and relative Phenotypic Variation Coefficient (PVC). The analysis of genetic distance clustering was done using the Minitab 1.5 program clustering method. J. curcas stem trimonoecious characters is the primary branches angle, stem diameter, number of primary and secondary branches have a higher size than monoecious plants. Diameter and thickness fruit flesh origins from monoecious plants larger than fruit from plants trimonoecious. Characteristics of the trimonoecious plants in this study were almost the same with their mother plant. Number chromosomes number of J. curcas plant genotypes have 2n = 22 chromosomes The average length of the trimonoecious plant’s chromosome was longer than the average for monoecious plants. The length of chromosomes can differ among one family, even though the numbers of the chromosomes are similar. Isozymes peroxidase (Rf 0.83) and esterase (Rf 0.20) could be used as markers to differentiate between trimonoecious and monoecious plants. Male flower pollen viability of plant origin trimonoecious have a slower rate of decrease than male flowers monoecious plants. The dendrogram from the cluster analysis results could differentiate between trimonoecious and monoecious plants with a variation coefficient of 27.25.
Keyword: Esterase, peroxidase, pollen viability, trimonoecious