Integrated System Design for Broadcast Program Infringement Detection
Abstract: Supervision of
television and radio broadcast programs by the Komisi Penyiaran Indonesia Jawa Tengah
is still being carried out manually i.e. direct supervision by humans. The
process certainly has some weaknesses related to human error, such as tiredness
and weary eyes. Therefore, we need intelligent software that could
automatically detect broadcast infringement. Up to now, research in this area has
not been carried out. This research was aimed at designing an integrated system
to detect broadcast infringement, including architecture design and main module
interface design. Two main stages in this system are Indonesian-language speech
recognition and detection of infringements of the broadcast program. With the
method of Mel Frequency Cepstral Coefficients (MFCC) and Hidden Markov Model (HMM),
a speech recognition application that uses 1050 sample data produces about 70%
accuracy rate. This research will continue to implement the design created
using speech recognition applications that have been developed.
Keywords: Broadcast
Infringement, Infringement Detection, Komisi Penyiaran Indonesia (KPI), Speech Recognition
Author: Sukmawati Nur Endah,
Satriyo Adhy, Sutikno
Journal Code: jptkomputergg150045
