Penelitian terkait prediksi suatu penyakit DSS berdasarkan data klinis dan data sekuen DNA menggunakan pengembangan ensemble method of machine learning

Pengembangan Metode Deep learning dengan optimasi tunning hyperparameter dengan algoritma evolusi untuk prediksi resiko hipertensi berdasarkan data single nucleotide polynorphism

Filkom Berkarya Tahap 3

Pengembangan metode Machine Learning untuk mengetahui karakteristik sekuen DNA dari virus COVID (SARS CoV-2) melalui metode: clustering, ekstraksi fitur untuk mendapatkan komponen/ codon penyusun protein yang signifikan terhadap materi virus melalui evaluasi pengujian metode klasifikasi

This study develops new tool for real-time spatial monitoring in lab-scale based-on tangible GIS. Conventional model is intangible and difficult to be modified in no-time, while the proposed method in this study is more efficient, effective, and sense-able.

Mining management needs more flexible and versatile solution. Mobile GIS app appears for the best solution since the mobile platform provides more and more comfortable solution. The aim of this study is to provide mobile apps for mining management (i.e., geospatial data acquisition of point, line, and polygon). The apps is connected with the dedicated server, so the acquired data can be transferred in no-time. While on the server side, the manager will be able to download the data as well as to make any geospatial analysis related to the issues.

The aim of this project is to conserve national relic of Indonesia as well as to increase the Geo-literacy of our future generation through gamification. This system will be embedded in mobile and will be available for free. The WebGIS could be accessed from the URL http://candimalang.com/

Detail information of urban land use derived from very high resolution image is important to manage the big city. This study provides an overview of a project in which 0.8-meter digital imagery was used to produce a map of detail urban structure of the city of Jakarta, Indonesia. Visual interpretation method based on local knowledge is used to extract the information from satellite image. The urban structure of the city of Jakarta is varied in each municipality. The urban structure of the city is mainly dominated by high-rise building in the Central Jakarta and offices complex (CBD) in South Jakarta. Industrial area and dense settlement in North, West and East Jakarta. The urban structure of Jakarta shows clearly about the typical characteristic of market driven city, which characterized by obvious spatial and social segregation. Slum area also found surrounding the city. Vegetation cover is low due to conversion to housing, commercial and industrial utilization. Urban growth also presses the peripheral area to suburbanize.

Monitoring of environmental impact in mine site are important steps in remote sensing applications for mining management. Traditional aerial platforms such as airplanes and space-based satellites are not suitable for these applications due to their low spatial and temporal resolutions. In this article, a UAV (Unmanned Aerial Vehicle) equipped with a commercial camera (RGB) was assessed for ultra-high resolution image acquisition over a coal mine site in Banjarmasin, South Kalimantan, Indonesia. Visible bands were used for existing environmental condition mapping (e.g. topography). We compared the elevation derived from UAV and Total Station GPS through terrestrial survey. Furthermore, environmental changes were clearly captured from optical sensor mounted on the UAV. This provides evidence that visible spectral indices derived from images acquired using a camera onboard a UAV flying at low altitudes are a suitable tool to monitor environmental changes in mine site. The low cost and ultra-high spatial resolution associated with the camera-UAV system provides important information for comprehensive mine management applications such as reclamation management where accurate vegetation fraction mapping is essential.

As countries become increasingly urbanized, understanding how urban areas are changing within the landscape becomes increasingly important. Urbanized areas are often the strongest indicators of human interaction with the environment, and understanding how urban areas develop through remotely sensed data allows a more sustainable practices. Landsat satellite sensor which is a remote sensing platform, with its ability to analyze global data rapidly lends itself to being an invaluable tool for studying the growth of urban areas. In this study we present the geovisualization tools to provide the analytical studies of urbanization process in Malang City, East Java, Indonesia using images derived from Landsat sensor family (1989 to 2014). We provide a dynamic geovisualization through webGIS where users could understand and get valuable scientific information (e.g. urban area changes and development of man-made structures). This system also equipped with the tools to enable users to create automatic cartographic map and printed out as digital pdf format file.

Multispectral satellite data have become a common tool used in the mapping of wildland fire effects. The Normalized Burn Ratio (NBR) used in an absolute difference change detection protocol (dNBR), has become the remote sensing method of choice to map fire severity due to wildland fire. Fire severity is defined as the degree of environmental change as measured immediately post-fire, whereas burn severity combines the direct fire impact and ecosystems responses. In this study two pre-/post-fire differenced Thematic Mapper (TM) and LOI 8 dNBR assessments time series were used to analyze the temporal dimension. Then we compare with the new proposed Principal Polar Spectral Wetness (PPSW) algorithm which is also sensitive to map fire severity, which has been proved from unpublished work. Further, we proposed new algorithm to enhance the fire-burnt mapping methodology in the case of oil palm plantation in Indonesia.

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Penelitian Eksperimental

A business process is a collection of activities designed to provide an output for a particular customer or market. It implies a strong emphasis on how the work is done within an organization, in contrast to a product’s focus on what. A process is thus a specific ordering of work activities across time and place, with a beginning, an end, and clearly defined inputs and outputs: a structure for action. Most medium to large organizations support large collections of process designs modeled through various business process modeling languages such as Business Process Model and Notation (BPMN). They are usually stored in business process repositories. These are typically characterized by the following features: (i) the number, scale and complexity of the processes are large (i.e. hundreds to thousands of models); (ii) the processes are often interdependent; (iii) changes to any one process are likely to impact several other processes and (iv) there are multiple alternative ways in which changes might be implemented.

Dealing with such complex process repositories is not a trivial task. In this research, we argue that a formal process ecosystem view can provide a particularly useful solution to the problem. In our conception of process ecosystem, process designs play a role analogous to that of biological entities in a biological ecosystem (i.e. they can be created, modified, eventually discarded). As biological ecosystems always try to get their equilibria, this framework maintain inter-process dependency constraints to get process ecosystems equilibria. Hence, P-Gamelan framework relies on such metaphor to represent a choreography of processes within a repository, analogous to a set of instruments choreography in a gamelan. This consolidating view of the complete landscape of business processes would yield some advantages for the organizations, e.g. avoiding inconsistencies between process models, achieving global optimization among the related process models.

Obviously, process analysts need a suitable supporting tool to perform such complex business process management. Some useful BPM tools have been developed carefully and used by some companies for managing their business process models, e.g. ARIS¹, APROMORE², ADONIS³. They have partially or entirely the following features including creation, modification and deletion, filtering/searching and evaluation of the process models. However, there are still open issues to be addressed: (i) process repository management requires the establishment and maintenance of a repertoire of relationships between process designs, such as generalization-specialization, part-whole, inter-operation, abstraction-refinement and resource-sharing; (ii) such repository may also contain designs that are partial or incomplete that need to be detected and rationalized; (iii) process improvements may lead into a contradictory situation among related process models which requires a particular resolution and (iv) changes on a single process model likely need to be propagated to the other related models in order to maintain their relationships.

This research will attempt to deal with such issues. We build the P-Gamelan framework based upon semantic effect-annotated process models represented in BPMN, i.e. process models in which every activity has been annotated with its corresponding effects. An effect annotation relates to a particular result or outcome to an activity in a process model. Hence, we are interested in the following research questions: (i) how can we formalize inter-process relationships in semantic effect-annotated business process models?; (ii) how can we maintain the normative inter-process relationship between a pair of process models?; (iii) how can we maintain the equilibrium of a process ecosystem due to process changes? and (iv) how can we facilitate the process analysts in dealing with process optimization?. We will provide the P-Gamelan with the following key capabilities, i.e. process repository management, process rationalization, process optimization and process change management including process redesign. By developing this framework, we do not intent to replace the role of process analysts, but we will assist them with an analyst-mediated process management tool.

* P-Gamelan stands for 'Process Gamelan'. Gamelan is a traditional musical ensemble from Indonesia, featuring a variety of instruments. It is composed of a number of instruments as a distinct object, arranged and tuned to stay together.

1. http://www.ids-scheer.com/
2. http://apromore.org/
3. http://www.boc-group.com/products/adonis/

A business process is a collection of activities designed to provide an output for a particular customer or market. It implies a strong emphasis on how the work is done within an organization, in contrast to a product’s focus on what. A process is thus a specific ordering of work activities across time and place, with a beginning, an end, and clearly defined inputs and outputs: a structure for action. This usually is represented in diagram using particular business process modeling techniques, e.g. Business Process Model and Notation (BPMN). The current tools supporting such modeling techniques focus on the process ordering and coordination semantics of business process. We will not be able to determine, at design time, the effects of process execution up to a certain point in the model. Hence, we extend the current process modeling techniques with the semantic effect annotation on business processes.

An effect annotation relates to a particular result/outcome to an activity in a process. An activity represents the work performed within a process. Activities are either atomic (called a task) or compound (called a sub-process). In an annotated BPMN process model, as our approach relies on, we annotate each activity with its (immediate) effects. We define the immediate effects as the immediate results/outcomes of executing an activity in a process. This annotation allows us to determine, at design time, the effects of process execution up to a certain point in the model. These effects are necessarily non-deterministic, since a process might have taken one of many possible alternative paths through a model to get to that point, called as effect scenarios. We define a procedure for pair-wise effect accumulation, which, given an ordered pair of activities with their corresponding effect annotations, determines the cumulative effects after both activities have been executed in a contiguous sequence. In a process model, there would be many effect scenarios which are introduced by AND-joins or XOR-joins or OR-joins. We accumulate effects through a left-to-right pass of a participant lane, applying the pair-wise effect accumulation procedure on contiguous pairs of activities. We use Answer Set Programming (ASP) theorem prover for reasoning the effects being accumulated. Note that we do not consider the possibility of a pair of effect scenarios in AND-joins being inconsistent, since this would only happen in the case of obviously erroneously constructed models.