scholarly journals Mapping The Capacity of The Mosque in Spatial Review in East Bogor Sub-District

GeoEco ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 214
Author(s):  
Mohamad Mahfudz ◽  
Diah Kirana Kresnawati ◽  
Eky Palahudin
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Spatial Data ◽  
Total Population ◽  
Time Accuracy ◽  
Support Decision Making ◽  
Optimal Radius ◽  
Increase Efficiency

<p><em>The increasing awareness of Muslims about Islam encourages them to participate in activities carried out by mosque administrators, this has an impact on the capacity of the mosque space. This study aims to determine the distribution of mosques and their capacities based on the population in East Bogor Sub-District. Data collection is done by using spatial data to support decision making to increase efficiency and time accuracy by using the buffering method. Where the buffer is to determine the optimal radius assuming distances of 100 m, 250 m, 500 m, and 1000 m. The results showed that in East Bogor District there were 73 mosques and the capacity of the mosques was 33.72% of the total population of 106,029 people.</em></p>

Decision-Making Processes Based on Knowledge Gained from Spatial Data

2014 ◽  
pp. 341-361
Author(s):  
Elzbieta Malinowski
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Data Sharing ◽  
Spatial Data ◽  
Public Institutions ◽  
Knowledge Generation ◽  
Data Complexity ◽  
Decision Making Processes ◽  
Data Infrastructures ◽  
Support Decision Making

The increasing popularity of spatial data opens up the possibility to include it in decision-making processes in order to help discover existing interrelationships between facts that might otherwise be difficult to describe or explain. To achieve this goal, Spatial Data Infrastructures (SDIs) are seen as a platform to provide and share spatial and conventional data, especially among public institutions. However, SDI initiatives face many problems due to the lack of standards for data publications, the heterogeneity of participants that build and use the system, and participants’ different backgrounds, level of preparation, and perception about the objective that SDIs should fulfill. Furthermore, to obtain better benefits from using spatial data, non-expert users in geo-concepts (i.e., users unfamiliar with complex concepts related to spatial data manipulation) should count on a variety of tools that hide spatial data complexity and facilitate knowledge generation with the goal of shifting from traditional spatial data sharing to an intelligent level. In this chapter, the authors refer to different issues related to knowledge generation from spatial data in order to support decision-making processes with an emphasis on public institutions. They look for the answers to several aspects: what tools are available for non-expert users to handle spatial data, who will provide spatial and related conventional data to stakeholders interested in analyzing them, and how to ensure data quality.

scholarly journals Implementasi Metode Clustering DBSCAN pada Proses Pengambilan Keputusan

2015 ◽  
pp. 185
Author(s):  
Anindya Santika Devi ◽  
I Ketut Gede Darma Putra ◽  
I Made Sukarsa
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Data Clustering ◽  
Clustering Algorithm ◽  
Decision Making Process ◽  
Number Of Clusters ◽  
Potential Customer ◽  
A Company ◽  
Support Decision Making

Spatial Data Clustering is one of the significant techniques in data mining which used to obtain information or knowledge in a large number of spatial data from various applications. One technique that being a pioneer in the development of spatial data clustering algorithm is DBSCAN. This study is focused on implementation of DBSCAN method in decision making process in order to help a company to decide its potential customer. The trial results in this study show that DBSCAN method has been successfully conduct clustering process to support decision making process in determination of potential customer by forming several number of clusters.

Game Data Science: An Introduction

2021 ◽  
pp. 1-32
Author(s):  
Magy Seif El-Nasr ◽  
Truong Huy Nguyen Dinh ◽  
Alessandro Canossa ◽  
Anders Drachen
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Data Collection ◽  
Data Processing ◽  
Data Science ◽  
Data Driven ◽  
Game Development ◽  
Collection Data ◽  
Support Decision Making ◽  
Over Time

This chapter introduces the topic of this book: Game Data Science. Game data science is the process of developing data-driven techniques and evidence to support decision-making across operational, tactical, and strategic levels of game development, and this is why it is so valuable. This chapter introduces this topic as well as outlines the process of game data science from instrumentation, data collection, data processing, data analysis, to reporting. Further, the chapter also discusses the application of game data science, as well as its utility and value, to the different stakeholders. The chapter also includes a section discussing the evolution of this process over time, which is important to situate the field and the techniques discussed in the book. The chapter also outlines established industry terminologies and defines their use in the industry and academia.

scholarly journals Integration of Open Source GIS Software for Improving Decision Making in Small and Medium Companies

2018 ◽  
pp. 1-6
Author(s):  
Ali Hameed Yassir
Keyword(s):  
Decision Making ◽  
Open Source ◽  
Open Source Software ◽  
Spatial Data ◽  
Software Components ◽  
Open Source Gis ◽  
Gis Software ◽  
And Training ◽  
Support Decision Making

In this paper, a prototype is proposed of integrating various features and functionalities of different open source GIS software to improve decision-making in small and medium companies. The paper shows possibilities of integrating various open source GIS software to support decision making. Open source software features is combined with the functionalities of GIS such as processing using Quantum GIS, storing and analyzing of spatial data to produce results using PostgreSQL, Providing and sharing Geo-data over the network locally or over the globe using Geoserver, The prototype is based on the three basics features low /free cost of using GIS open source software, simplicity and usability, multiplatform supporting. The integration of open source software is appropriate and successful for the use of companies in the field of GIS, this initiative represents a suitable business solutions that do not consume a lot of money and training to develop the skills of the technicians in this field, therefore, this will open the door for other companies to follow this trend. This prototype provides an opportunity for open source software components to process and store data in databases or shares the results over different networks.  

scholarly journals Intelligence Phase sebagai Dasar Proses Pembuatan Keputusan untuk Membangun Model Aplikasi DSS Pada UKM

2013 ◽  
Vol 4 (2) ◽  
pp. 566
Author(s):  
Dewan Pelawi
Keyword(s):  
Decision Making ◽  
Data Collection ◽  
Classification Problem ◽  
Process Data ◽  
Problem Statement ◽  
Managerial Decision ◽  
Managerial Decision Making ◽  
Problem Situations ◽  
Alternative Action ◽  
Support Decision Making

Decision making is a process of choosing an alternative action used for a specific purpose or goal that has been set. Managerial decision-making involves data and information from entire business process. Data and information are procesesed to support decision-making. The purpose of this paper is to get a statement of goals, problems and data of the UKM Gerak Tani. The Method to be used is inteliggence phase which is the first stage of the four stages of decision making according to Herbert A Simon. It includes several activities aimed to identify problem situations or opportunities such as finding the problem classification, problem decompositionand problem ownership. The expected results of this research are the purpose documentation of the organization, searching and scanning procedures, data collection, identification of issues, ownership issues, classification issues and problem statement.

Decision-Making Processes Based on Knowledge Gained from Spatial Data

2016 ◽  
pp. 413-433
Author(s):  
Elzbieta Malinowski
Keyword(s):  
Decision Making ◽  
Data Quality ◽  
Data Sharing ◽  
Spatial Data ◽  
Public Institutions ◽  
Knowledge Generation ◽  
Data Complexity ◽  
Decision Making Processes ◽  
Data Infrastructures ◽  
Support Decision Making

The increasing popularity of spatial data opens up the possibility to include it in decision-making processes in order to help discover existing interrelationships between facts that might otherwise be difficult to describe or explain. To achieve this goal, Spatial Data Infrastructures (SDIs) are seen as a platform to provide and share spatial and conventional data, especially among public institutions. However, SDI initiatives face many problems due to the lack of standards for data publications, the heterogeneity of participants that build and use the system, and participants' different backgrounds, level of preparation, and perception about the objective that SDIs should fulfill. Furthermore, to obtain better benefits from using spatial data, non-expert users in geo-concepts (i.e., users unfamiliar with complex concepts related to spatial data manipulation) should count on a variety of tools that hide spatial data complexity and facilitate knowledge generation with the goal of shifting from traditional spatial data sharing to an intelligent level. In this chapter, the authors refer to different issues related to knowledge generation from spatial data in order to support decision-making processes with an emphasis on public institutions. They look for the answers to several aspects: what tools are available for non-expert users to handle spatial data, who will provide spatial and related conventional data to stakeholders interested in analyzing them, and how to ensure data quality.

IMPLEMENTASI METODE VIKOR DALAM PENERIMAAN JURNALIS PADA KORAN WASPADA MEDAN

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Soraya Rahma Hayati ◽  
Mesran Mesran ◽  
Taronisokhi Zebua ◽  
Heri Nurdiyanto ◽  
Khasanah Khasanah
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Decision Support Systems ◽  
Support System ◽  
Support Systems ◽  
Knowledge Based ◽  
Computer Based ◽  
Support Decision Making ◽  
Made In

The reception of journalists at the Waspada Daily Medan always went through several rigorous selections before being determined to be accepted as journalists at the Waspada Medan Daily. There are several criteria that must be possessed by each participant as a condition for becoming a journalist in the Daily Alert Medan. To get the best participants, the Waspada Medan Daily needed a decision support system. Decision Support Systems (SPK) are part of computer-based information systems (including knowledge-based systems (knowledge management)) that are used to support decision making within an organization or company. Decision support systems provide a semitructured decision, where no one knows exactly how the decision should be made. In this study the authors applied the VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) as the method to be applied in the decision support system application. The VIKOR method is part of the Multi-Attibut Decision Making (MADM) Concept, which requires normalization in its calculations. The expected results in this study can obtain maximum decisions.Keywords: Journalist Acceptance, Decision Support System, VIKOR

Doping in sports – conscious lack of interest or ethical Everest?

2017 ◽  
Vol 65 (4) ◽  
Keyword(s):  
Decision Making ◽  
General Population ◽  
Medical Setting ◽  
Doping In Sports ◽  
Physician Relationship ◽  
Pharmaceutical Agents ◽  
Similar Development ◽  
Level Performance ◽  
Elite Sports ◽  
Support Decision Making

Within a clinical sports medical setting the discussion about doping is insufficient. In elite-sports use of pharmaceutical agents is daily business in order to maintain the expected top-level performance. Unfortunately, a similar development could be observed in the general population of leisure athletes where medical supervision is absent. As a sports physician you are facing imminent ethical questions when standing in between. Therefore, we propose the application of a standardised risk score as a tool to promote doping-prevention and launch the debate within athlete-physician-relationship. In the longterm such kind of risk stratification systems may support decision-making with regard to «protective» exclusion of sporting competition.

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