Vincentius P. Siregar

Klasifikasi Habitat Bentik Berbasis Objek dengan Algoritma Support Vector Machines dan Decision Tree Menggunakan Citra Multispektral SPOT-7 di Pulau Harapan dan Pulau Kelapa.

The research of object based image classification (OBIA) with machine learning algorithm for high resolution image in Indonesia is still limited especially for coral reef mapping, therefore further research needed for comparison in method and application of algorithms as alternative of classification. This research aims to map benthic habitat based on multiscale classification using OBIA method with support vector machine and decision tree algorithm in Harapan Island and Kelapa Island, Kepulauan Seribu. Segmentation was performed using a multiresolution segmentation algorithm with a scale factor of 15. The OBIA method is applied to atmospheric corrected images with a predefined benthic habitat classification scheme. The overall accuracy of SVM and DT algorithm implementations are 76.68% and 60.62%, respectively. The Z statistic value analysis obtained from the application of two algorithms used is 2.23, where this value indicates that the classification with SVM algorithm is significantly different from the DT algorithm. This research suggest that the OBIA technique could be a promise approach for mapping benthic habitats.

Primary Productivity of Jakarta Bay in A Changing Environment: Climate Change and Anthropogenic Impacts

Jakarta Bay receives direct impact from the rapid development of infrastructure and landbased industries which contributed to the increase in pollution and nutrient, and at the same time facing climate change. This condition influenced growth of chlorophyll- and primary production. To investigate changes of primary production in Jakarta Bay due to anthropogenic and climate change impacts, a field measurement, laboratory experiment and collection of several data sets have been conducted. The study showed that impact of anthropogenic, particularly sediment load from the land to primary production is important. The intensification of primary production occurs in the middle region of Jakarta Bay, while the chlorophyllconcentration is high in the river mouth area. The anthropogenic impact is indicated by the land use change that has increased to 73% during the last ten years. The laboratory experiments by injecting CO in the waters, as a global warming simulation, have shown a decrease in chlorophyll- and primary production. Therefore, the combination of anthropogenic and climate changemay have a double impact on the Jakarta Bay ecosystem. Key words: Primary production, Jakarta Bay, anthropogenic, climate change, impact