IJNMT, Vol. V, No. 1 | June 2018 8 ISSN 2355-0082 Data Visualization of Poverty Level at Provinces in Indonesia from The year 2013-2015 Stevencua 1 , Johan Setiawan 2 Department of Information Systems Universitas Multimedia Nusantara, Tangerang, Indonesia 1 stevencua@student.umn.ac.id 2 johan@umn.ac.id Received on August 30 th , 2017 Accepted on June 8 th , 2018 Abstract—The aim of this paper is to create a data visualization that can convey information on poverty distribution of every province in Indonesia and to find a connection with education level. The method used is Eight-step data visualization and data mining methodology. Data for this research are taken from BPS from the year 2013 to 2015. Data collected after the data extracted and cleansing is 6000 records. Time needed to convert data from several publications and put it into one Excel file is 2 weeks. Tableau is chosen as tools for creating the Data Visualization. With this tools, data showed in a story dashboard which consists of 3 dashboards. The first dashboard is a mapping of poverty data onto provinces of Indonesia. The second dashboard is a mapping and distribution of education levels on cities and counties in Indonesia. The third dashboard is showing a ranking of areas with the highest percentage level of a citizen of education lower than elementary school in Indonesia. Based on the User Acceptance Test to BPS staff, authors have been able to produce the Story required, and interactive. As a conclusion from Data Visualization has been made, high poverty in certain areas not immediately is directly proportional to the level of education. Index Terms— Dashboard, Data Visualization, poverty, Tableau. I. INTRODUCTION According to the BPS report on 2017, Indonesia is a country that has a land area of 1.913.579 square kilometers which consists of 17.504 islands. Albeit the size that it has, equity in Indonesia has not been going on well. An article from 2017 by Directorate-General of Disadvantage Area Development mentioned that developments have always been focused on Java Island. It is one of the causes of poverty in other parts of the country. One of the main focus of Indonesia government in this term (2014-2019) is to minimize the gap between regions in every part of the country. According to Minister of Finance Sri Mulyani Indrawati, this can be done by developing infrastructures in underdeveloped regions or regions that have a high level of poverty on record. The problem with this large country, the government needs more time to decide which region should become their priority for development. A decentralized governing system Indonesia uses means coordination between central government and regional government is needed in the form of information regarding poverty level or social economic conditions of each region. With the advanced technology we have right now, it is easy to get such information because the data are open to everyone, such as data from www.data.go.id and www.bps.go.id. Unfortunately, data for the public from BPS is in the publication format (PDF), not in another format such as spreadsheet or text format. By having open data, information should be easier to obtain and faster to be used to solve poverty problems. Nevertheless, these data are still in the format of publications, in numbers and could only become a meaningful information if managed properly. One of the techniques that can be used in order to convey information better is in the form of data visualization. To make information regarding these poverty data easier to understand by ordinary people, authors want to create a data visualization that can display poverty data and its relationship with the education level of each province in Indonesia. It aimed to help parties that need a mapping of poverty distribution in Indonesia. Data used for the visualization are obtained from www.bps.go.id and ranged from the year 2013 to 2015. The formulation of the problems are as followed:  How to design a dataset of poverty data needed for data visualization?