Vol.8/No.1 (2016) INTERNETWORKING INDONESIA JOURNAL 95 ISSN: 1942-9703 / © 2016 IIJ Abstract—In this paper, it is conducted an analysis of the two dashboards that applied metadata, they are "Metadata for Creating and Displaying Dashboard" and open source Pentaho dashboard. The analysis is to determine whether the metadata of the dashboard has met the metadata structure of data warehouse by comparing each metadata component of both dashboards to the metadata structure of data warehouse. Metadata component of each dashboard that meets the metadata structure of data warehouse will be combined to produce a new prototype named Meta ++. Besides Meta ++ as a blueprint of the combined metadata, there should be a generator for generating metadata based on inputs provided. Meta ++ will be used to assist the performance of metadata generator in generating real metadata. A metadata in the form of XML file will be generated by metadata generator that based on the information needs input from the user. Index Terms—dashboard, generator, metadata, Pentaho. I. INTRODUCTION A. Background REVIOUS research related to the development of metadata for dashboard has been considered in [1] using XML as metadata format because XML is flexible and supports writing of tags according to user requirements and can be used on a variety of platforms. The reference [1] uses descriptive metadata that plays an important role in describing the data. An important reason for creating descriptive metadata is to facilitate discovery of relevant information. In addition to resource discovery, metadata can help to organize electronic resources, to facilitate interoperability and legacy resource integration, to provide digital identification, and to support archiving and preservation [3]. Descriptive metadata is well in displaying the details of the entire data but missed data structure and data identification structure [1]. On the other hand, the second related work that will be analyzed and compared is an open source dashboard that applied metadata, named Pentaho. Pentaho dashboard provides an integrated features to do analysis, for this reason, it is widely used by businesses to produce data; in addition to that Pentaho is sturdy because it was built for a Manuscript received July 28, 2015. This paper with title “Metadata of Dashboard Data Source Based on Study of Pentaho Dashboard Metadata” was supported by Del Institute of Technology. Rosni Lumbantoruan, is with Del Institute of Technology, Indonesia. She is now with the Department of Information System (e-mail: rosni@del.ac.id). Agnes Juliana Siregar, Erikson Matondang and Marisa Helen Gultom were students in Informatics Engineering Department, Del Institute of Technology, Indonesia. long time, and strong in terms of visualization and data unlimited sources and able to accommodate millions of lines of information [2]. The study is conducted to generate metadata that is capable of displaying data as a structured together with its identity that makes the data uniquely identified; this is consistent with the data warehouse metadata attributes. Hence, a comparison is done against the data warehouse metadata to get better metadata results. Each metadata attribute of both studied dashboards, namely 1) open source Pentaho dashboards and 2) dashboard results of the study entitled "Metadata for Creating and Displaying Dashboard" is analyzed and compared to the metadata structure of data warehouse. Metadata of the both dashboards that meets the criteria of data warehouse metadata structures will be combined to form a metadata prototype called the Meta ++. To support the creation of metadata that meets the requirements of users, a metadata generator is developed. Meta ++ is used as a guideline for metadata generator to generate an actual metadata in the form of XML. Furthermore, Meta ++ is applied to the previous developed application dashboard in [1]. B. Objectives The aim of this study is to analyze the implementation of the conformity of open source Pentaho dashboards metadata and dashboard results of the study "Metadata for Creating and Displaying Dashboard" to metadata structure of data warehouse [9]. It is then to compile metadata prototype for the metadata improvement that will be applied to the dashboard resulted [1] and later it will be named Meta++. II. LITERATURE STUDY A. Metadata Metadata is often called data about data or information about information. Metadata is structured information that describes, explains, locates, or otherwise makes it easier to retrieve, use, or manage an information resource. Metadata is a key to ensuring that resources will survive and continue to be accessible into the future [3]. Based on NISO, there are three main types of metadata as follow: a) Descriptive Metadata: describes a resource for purposes such as discovery and identification. It can include elements such as title, abstract, author, and keywords. b) Structural Metadata: indicates how compound objects are put together, for example, how pages are ordered to form chapters. c) Administrative Metadata: provides information to help manage a resource, such as when and how it was Metadata of Dashboard Data Source Based on Study of Pentaho Dashboard Metadata Rosni Lumbantoruan, Agnes Juliana Siregar, Erikson Matondang and Marisa Helen Gultom P