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![Earthquake DSS architecture Reports on clients will be delivered both text and chart and can be viewed with many variant and multi dimensional. Drilldown , Roll up, slice and dice is way to show multidimensional in hypercubes. ETL (Extraction, Transformation and Loading) application can be put in database server which automatically will extract data from transactional and external database into datawarehouse. For performance and not disturb the process then data will be captured in Deferred data extraction base on Date and time stamp [6]. For datawarehouse dimensional model will be used snowflake schema. Kinds of user like miners, explorers, farmers, tourists and operators may access the datawarehouse [6]. Datawarehouse earthquake DSS record the disaster location, quantity of victim, infrastructure and property damage [11, article 22]. The Quake table is a fact table which record date, time, longitudinal, latitude, magnitude, epicenter, length, and area of quakes. Other tables is dimensional tables. Quake table will have connection with Stasiun Quake table as table list of earthquake station[10]. To make easy to record area of](profile/Harco-Leslie-Hendric-Spits-Warnars/publication/45922558/figure/fig1/AS:341214374187022@1458363254554/Earthquake-DSS-architecture-Reports-on-clients-will-be-delivered-both-text-and-chart-and.png)
Earthquake DSS architecture Reports on clients will be delivered both text and chart and can be viewed with many variant and multi dimensional. Drilldown , Roll up, slice and dice is way to show multidimensional in hypercubes. ETL (Extraction, Transformation and Loading) application can be put in database server which automatically will extract data from transactional and external database into datawarehouse. For performance and not disturb the process then data will be captured in Deferred data extraction base on Date and time stamp [6]. For datawarehouse dimensional model will be used snowflake schema. Kinds of user like miners, explorers, farmers, tourists and operators may access the datawarehouse [6]. Datawarehouse earthquake DSS record the disaster location, quantity of victim, infrastructure and property damage [11, article 22]. The Quake table is a fact table which record date, time, longitudinal, latitude, magnitude, epicenter, length, and area of quakes. Other tables is dimensional tables. Quake table will have connection with Stasiun Quake table as table list of earthquake station[10]. To make easy to record area of
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Earthquake DSS is an information technology environment which can be used by government to sharpen, make faster and better the earthquake mitigation decision. Earthquake DSS can be delivered as E-government which is not only for government itself but in order to guarantee each citizen's rights for education, training and information about earthquak...
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On our earth there are 8000 earthquakes per day, as one of the threat for people around the world and Indonesia has more than 30 quakes predictions per day as one of the threat for Indonesian. We can not avoid the disaster but we can decrease the victim and lost by learning from the past earthquake. DSS is information technology environment which c...
Citations
... EIS as technology has been implemented in higher education [27] including the EIS for monitoring the lecturers as frontier knowledge delivery in higher education [26]. In disaster management, EIS which implemented with DSS as a technology for all level management can be performed as well as a tool for dealing which disaster mitigation particularly in earthquake [23,24,25]. ...
Abstract— To be a high performing business is the aim of all company in the world because high performance is one of the key indicators of success. PT GMF AeroAsia is a world-class company that focuses on Aircraft Maintenance Repair and Overhaul (MRO). The company strives to increase performance through the productive and efficient use of man-hours. If PT GMF AeroAsia’s performance is consistently high, revenue and profit will support the company’s vision and mission to be one of the Top Ten MRO’s in the World. For example, detailed research and analysis are conducted primarily in the area of cabin base maintenance where project performance, man-hours, and productivity are studied in detail to assist with production planning and control. Design and change requests are managed via an Executive Information System (EIS) that correlates and displays data using a dashboard to facilitate decision making by Section Manager, General Manager, and Vice President. The dashboard is used to identify, control and analyze the conduct of every aircraft maintenance project. The EIS, therefore, underpins and provides the logic for the Decision Support System (DSS). The DSS uses data drawn from the EIS to provide a standard approach leading to effective decision making.
Keywords—Executive Information System (EIS); Manhours productivity; Decision Support System (DSS); Maintenance Repair and Overhaul (MRO)
... The development of Intelligent e-health will work best to implement current technology such as Data Warehouse, Big Data [14], Data mining, machine learning, knowledge management, Decision Support System [9,17,18,19] and so on as representation of artificial intelligence as shown in figure 8. In term of Data Warehouse, this technology will help how to organize flexible schema data warehouse for Indonesia's healthcare, where at the end will create fast and quick decision reports [10,11,12,13,15,16]. ...
Indonesia as the most populated country in ASEAN has inadequate health care treatment among ASEAN countries and building e-health for Indonesia is an urgent matter to strength Indonesian healthcare treatment. Moreover, there is a critical to strength national health information system which have challenges such as weak coordination among central, provincial and district health office and inadequate using of information system for decision making, where need to integrate all healthcare data such as health facility, health promotion, health financing, Human Resource for Health (HRH), community participation and health management. The development of Intelligent e-health will concern in healthcare and will build collaboration for data collection with public and private community health center and hospitals, Healthcare Social Security organizing body (Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan), the ministry of health of the Republic of Indonesia and World Health Organization (WHO). The development will implement current technology such as Data Warehouse, Big Data, Data mining, machine learning, knowledge management, Decision Support System and so on which dealing with structured and unstructured data. The development of Intelligent e-health will be built in smartphone application, using the Internet of Things (IoT) and including mining Indonesian healthcare information from social media.
... Meanwhile, social media as "a group of Internet-based applications that build by Web 2.0 ideology and technology, and which enable the creation and exchange of usergenerated content" [18]. Social media technology takes various forms including magazines, internet forums, weblogs, social blogs, microblogging, wikis, podcasts, photos or images, videos, social ratings and bookmarks [7,8]. By implementing a set of theories in the field of media research (social presence, wealth media) and social processes (self-presentation, self-disclosure) there are six classification schemes for various types of social media, and they are: ...
This paper proposed a model system for unstructured mining data in social media for natural disaster management in Indonesia. The model system of natural disaster management will be tested using real data where the application will be run from the stage crawl social media, tokenization, filtering, stemming, similarity measure, and Name Entity Recognizer so as to ascertain whether the software is built is in conformity with the rules of data collection events natural disasters that can be reliable. The proposed model system of natural disaster management can help the Indonesian government to calculate the impact of floods, landslides, and tornados that it could decide to focus fixes in the correct fields. If the government has made improvements by the mapping of disaster impact it will automatically proclamation of floods, landslides, and tornados in social media and news websites will decrease, and the value graph will change impacts linkages so that the government can focus subsequent repair.
