scholarly journals Kriteria Rumah Tinggal Ideal Bagi Pengrajin Gerabah di Desa Panjangrejo, Kabupaten Bantul, D.I. Yogyakarta

2020 ◽  
Vol 18 (2) ◽  
pp. 56-69
Author(s):  
Sidhi Pramudito ◽  
◽  
Yustina Banon Wismarani ◽  
Keyword(s):  
Data Analysis ◽  
Building Construction ◽  
Pottery Production ◽  
Text Data ◽  
Planning And Design ◽  
Dominant Design ◽  
Text Data Analysis ◽  
The Village ◽  
Special Region ◽  
The Ideal

Panjangrejo village is a tourism village that located in Pundong sub-district, Bantul regency, Yogyakarta Special Region. This village is an area of pottery production centers where most of the villagers work as pottery craftsmen. This potential is also supported by the Regional Planning and Development Agency (Bappeda) and the Bantul Regency Tourism Office which establishes the village as one of the priority planning of 7 (seven) priority tourism villages in Bantul Regency in 2019. Research on the criteria of ideal housing can become one of the first steps to understanding the urge and needs of pottery craftsmen of houses. The purpose of this study is to determine the criteria that are the preferences of respondents about an ideal houses. This research uses a qualitative approach by collecting data through a questionnaire distributed to pottery craftsmen. Data analysis was performed by text data analysis. The results of the analysis showed that of the various criteria about the ideal houses, the dominant design criteria found were aspects of environmental health of the house, the form and finishing of the house, the spatial needs and relationships, and building construction. The results of this study are also expected to be used as input for Bappeda and the Bantul Regency Tourism Office if in the future they will carry out planning and design in Panjangrejo Tourism Village.

A Primer on Text-Data Analysis

2011 ◽  
pp. 3111-3118 ◽  
Author(s):  
Imad Rahal ◽  
Baoying Wang ◽  
James Schnepf
Keyword(s):  
Information Retrieval ◽  
Data Analysis ◽  
Language Processing ◽  
Information Filtering ◽  
Data Representation ◽  
Research Area ◽  
Research Field ◽  
Text Data ◽  
Document Collections ◽  
Text Data Analysis

Since the invention of the printing press, text has been the predominate mode for collecting, storing and disseminating a vast, rich range of information. With the unprecedented increase of electronic storage and dissemination, document collections have grown rapidly, increasing the need to manage and analyze this form of data in spite of its unstructured or semistructured form. Text-data analysis (Hearst, 1999) has emerged as an interdisciplinary research area forming a junction of a number of older fields like machine learning, natural language processing, and information retrieval (Grobelnik, Mladenic, & Milic-Frayling, 2000). It is sometimes viewed as an adapted form of a very similar research field that has also emerged recently, namely, data mining, which focuses primarily on structured data mostly represented in relational tables or multidimensional cubes. This article provides an overview of the various research directions in text-data analysis. After the “Introduction,” the “Background” section provides a description of a ubiquitous text-data representation model along with preprocessing steps employed for achieving better text-data representations and applications. The focal section, “Text-Data Analysis,” presents a detailed treatment of various text-data analysis subprocesses such as information extraction, information retrieval and information filtering, document clustering and document categorization. The article closes with a “Future Trends” section followed by a “Conclusion” section.

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