scholarly journals Evaluasi Pembangunan Sistem Visualisasi Data (Studi Kasus: Pengelolaan Data pada Kementerian Dalam Negeri Indonesia)

2018 ◽  
Vol 2016 (2) ◽  
Author(s):  
Muhammad Fikry Abyadl ◽  
Sumarno ◽  
Indrianawati

ABSTRAKPembangunan sistem visualisasi data (vista) Kemendagri merupakan langkah awalpengolahan data dan informasi Kemendagri oleh Pusdatinkomtel untuk menyederhanakan, mempermudah, mempercepat, memanipulasi, serta mengolah data dan informasi menjadi berbagai variasi penyajian data. Kebutuhan penyajian data dan informasi pada sistem vista disesuaikan dengan tugas pokok dan fungsi unit kerja di lingkungan Kemendagri. Tujuan penelitian ini adalah untuk mengevaluasi pembangunan sistem vista Kemendagri terkait data, metode, dan implementasi visualisasi data. Metode penelitian yang digunakan adalah metode top-­down, yaitu metode analisis kebutuhan data yang diturunkan berdasarkan tupoksi yang telah terbentuk di instansi tersebut. Hasil identifikasi data berdasarkan tupoksi Kemendagri selanjutnya dibandingkan dengan hasil identifikasi sistem vista Kemendagri sehingga dapat dilakukan analisis kesesuaian data. Dari hasil analisis tersebut, dapat diketahui bahwa sistem vista Kemendagri baru memenuhi 71,11% dari kebutuhan penyajian data dan informasi di lingkungan Kemendagri. Hal tersebut dikarenakan setiap kategori pada sistem vista masih terdapat kekosongan data sehingga belum memenuhi keseluruhan kebutuhan penyajian data.Kata kunci: visualisasi data, sistem visualisasi data, kementerian dalam negeriABSTRACTDevelopment of the Ministry of Home Affair’s data visualization system by Pusdatinkomtel is a first step in processing the Ministry of Home Affair’s data and information. The development aims to simplify, accelerate, facilitate, manipulate and process data and information into various data visualizations. Data and information visualization necessity develops in agreement with basic task and function of work unit in the Ministry of Home Affair’s. This study aims to evaluate development of the Ministry of Home Affair’s data visualization system related to the data, method, and implementation of data visualization. The research method in this study uses a top-­down method. The method analyses data needs based on the basic task and function of work unit in the Ministry of Home Affairs. Furthermore, data suitability analysis is done by comparing result of data identification based on the basic task and function of Ministry of Home Affair’s with data visualization system. The analysis result shows the Ministry of Home Affair’s data visualization system only fulfilling 71.11% from the data and information visualization necessity in the Ministry of Home Affair’s. This is because each category in data visualization system still has data gaps so it has not met the overall needs of data visualization.Keywords: data visualization, data visualization system, ministry of home affairs

Arts ◽  
2018 ◽  
Vol 7 (4) ◽  
pp. 72
Author(s):  
Annemarie Quispel ◽  
Alfons Maes ◽  
Joost Schilperoord

Designers are increasingly involved in creating ‘popular’ data visualizations in mass media. Scientists in the field of information visualization propose collaborations between designers and scientists in popular data visualization. They assume that designers put more emphasis on aesthetics than on clarity in their representation of data, and that they aim to convey subjective, rather than objective, information. We investigated designers’ criteria for good design for a broad audience by interviewing professional designers and by reviewing information design handbooks. Additionally, we investigated what might make a visualization aesthetically pleasing (attractive) in the view of the designers. Results show that, according to the information designers, clarity and aesthetics are the main criteria, with clarity being the most important. They aim to objectively inform the public, rather than conveying personal opinions. Furthermore, although aesthetics is considered important, design literature hardly addresses the characteristics of aesthetics, and designers find it hard to define what makes a visualization attractive. The few statements found point at interesting directions for future research.


Author(s):  
Trefor Williams ◽  
John Betak

The objective of this paper is to demonstrate how GIS and data visualization systems can be used to identify spatial relationships to add to our understanding of railroad accident factors. Examples are given of the spatial analysis of broken rail accidents and grade crossing accidents on GIS maps. Additionally, using the Weave data visualization system a data dashboard was constructed that shows the complex interaction between variables like track type, FRA track classification, train speed and track density with broken rail accident causes. The findings indicate that broken rail accidents occur most frequently in the Midwest. Possibly this trend is related to climate change and increased temperatures and precipitation in the United States. GIS visualizations also showed that many truck-trailer accidents at grade crossings occur in low population areas. This work indicates that GIS and data visualizations are a useful method of identifying trends in railroad accidents.


2020 ◽  
Vol 25 (3) ◽  
pp. 554-566
Author(s):  
Amit Kumar ◽  
Poonam Gaur

The advancing technology is affecting every aspect of life and journalism is also not untouched by this. Due to digitalization, huge amount of data is being generated and the continuous advancement of computer science has made it possible to extract meaningful information by storing and analysing this huge data. The term “data journalism” has become quite popular over the last decade. Analysing data sets, extracting newsworthy information from it and passing it on to the public is data journalism. Data visualization also has a very important place in this whole process. Data visualization is used to communicate information extracted from the data to the users in a clear, interesting and engaging way. The amount of data-based content has started increasing in the news media as well, so the importance of data visualization has also increased. The use of data visualization improves readers’ reading experience and also helps to better understand the data-based content. This preliminary study focuses on the use of data visualizations by English and Hindi newspapers in India. In this research, a comparative study of various aspects of the use of data visualizations in English and Hindi newspapers has been done. Content analysis with quantitative approach has been employed as the research method. This study reveals that there is a big difference in every aspect of the use of data visualizations in English and Hindi newspapers. English newspaper used data visualizations in a better way than their Hindi counterpart.


2021 ◽  
Vol 5 (CHI PLAY) ◽  
pp. 1-27
Author(s):  
Erica Kleinman ◽  
Nikitha Preetham ◽  
Zhaoqing Teng ◽  
Andy Bryant ◽  
Magy Seif El-Nasr

Currently, there is no formal taxonomy for the activities that users engage in when interacting with and making meaning from spatio-temporal game data visualizations. As data visualization, especially spatio-temporal visualization, becomes more popular for game data analytics, it becomes increasingly crucial that we develop a formal understanding of how users, especially players, interact with and extract meaning from game data using these systems. However, existing taxonomies developed for InfoVis are not directly applicable due to domain differences and a lack of consensus within the literature. This paper presents the beginnings of a taxonomy for user interaction with spatio-temporal data specific to the domain of games, developed from the results of a qualitative user study (n=7) in which experienced players were tasked with using a spatio-temporal visualization system to explore and understand telemetry data from Defense of the Ancients 2 (DotA 2). The taxonomy includes seven activities organized into three categories: Data Interaction, Sense Making, and Validation. We discuss the implications of these activities on design and future research.


2017 ◽  
Vol 6 (2) ◽  
pp. 235
Author(s):  
Yanti Riswara

The paper is aimed at describing a language variation, that is Ulakpatian Bonai isolect  in Riau Province. This is a kind of historical linguistic study which  is objected to describe a phonological inovation process of denasalisation among nasal phonemes at final positions or at close ultimate sillables in an isolect used by Bonai tribe in Ulakpatian, Rokan Hulu District,  Riau  Province.  Analysis  of  inavation is based on protomalayic (PM)  which  is reconstructed by Adelaar.The research applicates  top-down method of anaysis which are gaining  the  results by deductive process. Data of  this  research are oral  speech of Bonai people  based  on  200  Swadesh  words.  The  data  are  gathered  by  conversational  and listening  methods  which  applied  several  techniques.  The  results  of  the  analysis  are presented by formal and informal methods. The research findings reveal that the language of the tribe shows three kinds of denasalisation of phonological innovation at final position which  have  changed  the  nasal  phonemes  of  *PM  to  unnasal  ones  in  isolek  Bonai Ulakpatian: (*PM > BU) , i.e. 1) PM *n/-# > []/-#, 2) PM *m/-# > [p]/-#, dan 3) PM * /-# > [g]/-#.Abstrak  Makalah ini bertujuan untuk mendeskripsikan sebuah variasi bahasa, yaitu isolek Bonai Ulakpatian yang terdapat di Provinsi Riau. Kajian ini merupakan kajian linguistik historis yang memaparkan proses inovasi fonologis denasalisasi yang terjadi pada fonem-fonem nasal yang berada pada posisi akhir atau silabe ultima tertutup dalam sebuah isolek yang digunakan oleh suku Bonai di Desa Ulakpatian, Kabupaten Rokan Hulu. Analisis inovasi fonologis tersebut didasarkan pada protomalayik (PM) yang direkonstruksi oleh Adelaar. Kajian ini menerapkan mentode analisis top-down yang bersifat deduktif. Data penelitian merupakan data tuturan masyarakat suku Bonai yang mengacu pada 200 kosakata dasar yang dijadikan rujukan dalam penjaringan data kebahasaan. Data dikumpulkan dengan penerapan metode cakap dan metode simak dengan menggunakan teknik pancing dan teknik rekam. Data dideskripsikan secara fonetis dengan simbol IPA. Hasil penelitian disajikan dengan metode formal dan informal. Hasil penelitian menunjukkan bahwa isolek Bonai Ulakpatian memiliki tiga bentuk inovasi fonologis denasalisasi pada posisi akhir beberapa fonem nasal *PM menjadi taknasal pada isolek BU (*PM > BU) , yaitu 1) PM *n/-# > []/-#, 2) PM *m/-# > [p]/-#, dan 3) PM * /-# > [g]/-#.


2016 ◽  
Vol 31 (5) ◽  
pp. 572-577 ◽  
Author(s):  
Taylor Hanken ◽  
Sam Young ◽  
Karen Smilowitz ◽  
George Chiampas ◽  
David Waskowski

AbstractAs one of the largest marathons worldwide, the Bank of America Chicago Marathon (BACCM; Chicago, Illinois USA) accumulates high volumes of data. Race organizers and engaged agencies need the ability to access specific data in real-time. This report details a data visualization system designed for the Chicago Marathon and establishes key principles for event management data visualization. The data visualization system allows for efficient data communication among the organizing agencies of Chicago endurance events. Agencies can observe the progress of the race throughout the day and obtain needed information, such as the number and location of runners on the course and current weather conditions. Implementation of the system can reduce time-consuming, face-to-face interactions between involved agencies by having key data streams in one location, streamlining communications with the purpose of improving race logistics, as well as medical preparedness and response.HankenT, YoungS, SmilowitzK, ChiampasG, WaskowskiD. Developing a data visualization system for the Bank of America Chicago Marathon (Chicago, Illinois USA). Prehosp Disaster Med. 2016;31(5):572–577.


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