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: Penambahan kubus data cuaca pada sistem spatial online analytical processing (SOLAP) dengan SpagoBI
Abstrak: Titik panas adalah salah satu indikator untuk mengidentifikasi terjadinya kebakaran hutan yang sedang terjadi. Titik panas direkam menggunakan alat sensor, salah satunya berada di sensor MODIS. Data hasil perekaman titik panas menggunakan sensor MODIS jumlahnya cukup banyak. Analisis data berukuran besar dapat dilakukan menggunakan sistem spatial online analytical processing (SOLAP) dan data warehouse. SpagoBI adalah aplikasi open source bussiness intelligence yang dapat digunakan untuk mengolah data warehouse. Penelitian sebelumnya telah menggunakan aplikasi SpagoBI untuk mengolah data titik panas. Namun pada penelitian tersebut belum terdapat kubus data cuaca untuk mengetahui penyebab dari titik panas. Pada penelitian ini akan dilakukan pembuatan sistem SOLAP. Pembuatan modul free inquiry, pembuatan modul ad hoc reporting, dan penambahan data filter pada modul location intelligence. Skema data warehouse yang digunakan adalah skema galaksi. Pengujian SOLAP dilakukan dengan menggunakan metode pengujian black box. Hasil pengujian menunjukkan bahwa fungsi utama sistem SOLAP telah bekerja dengan benar sesuai dengan kebutuhan sistem.
Keyword: data warehouse fact constellation scheme, hotspot, spatial online analytical processing (SOLAP), SpagoBI

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