Sonalitha, Elta, Nurdewanto, Bambang, Zubair, Anis, Asriningtias, Salnan Ratih, Yudhistiro, Kukuh and Mujahidin, Irfan (2020) Blackbox testing model boundary value of mapping taxonomy applications and data analysis of art and artworks. In: 2020 3rd International Seminar on Research of Information Technology and Intelligent Systems (ISRITI), 10-11 December 2020, Yogyakarta.

Preview	Text Conference Taxonomi.pdf Download (483kB) | Preview
Preview	Text HASIL CEK PLAGIASI.pdf Download (1MB) | Preview

Abstract

The classification of artistic expertise in an area
on products and actors of art greatly affects the progress of
artistic life. One method of classifying cultural data is the
taxonomic method. In the taxonomic method, an art product can
be categorized into several domains. For example, the product
of Kawung (Indonesian) batik cloth can be included in the
domains of fashion, philosophy, and fine arts. An example from
the taxonomy of art actors, for example, an artist can have
various expertise in music, dance, fine arts, or others. The
source of information used to classify this research is the big
data of art actors in Malang, Indonesia. Big data is obtained
from art actors directly who provide input from the instrument
about the suitability of the art field with the expertise possessed
by each of them. Individual artists generally have more than one
artistic skill which can be classified taxonomically and ranked
using fuzzy clustering. The purpose of ranking with fuzzy
clustering is to determine the weight of artistic skills starting
from the level just done to the most proficient to do. To achieve
accurate weighing results, a taxonomy application for mapping
and data analysis of artists and works of art was created. This
research discusses functional testing (black-box testing) of the
taxonomy application of mapping and data analysis on web�based artists and artworks.

Actions (login required)

View Item