Repositori

Indonesian language is increasingly being ignored, even the mass media often find the use of nonstandard language, so there is a uniformity in the use of words that often appear in scientific articles, especially those Indonesian. The uniformity of Indonesian pronunciation certainly confuses the general public, for example: television news viewers and radio listeners, to distinguish between standard and nonstandard forms. The non-uniformity of Indonesian pronunciation often occurs in official situations such as official speeches or presentations. Based on this phenomenon, this study aims to conduct an analysis and mapping study of standard pronunciation errors that arise in several public services and develops application tools as automatically tool that can detect errors from the use of standard words obtained from voice recording results in the form of vowel errors, diphthongs and consonants by implementing the bigram method. This research was conducted by collecting voice recordings of conversations, speeches, public speaking and other recordings deemed necessary, then continued with standard pronunciation errors analysis and mapping of these errors using a tool that applied the Bigram technique. Based on statistical information obtained from the detection and correction process that has been carried out, it can be obtained a mapping of the error types in the use of Indonesian standard that often occur in public service environment. The results of the mapping and statistical information obtained are used as the basis for developing programs that aim to improve the quality of the use Indonesian standard in the form of FGDs, socialization and counseling. The study result indicate the standard of pronunciation errors that occur in various circles including presenters and lecturers, then the results of data analysis are described in the form of tables and diagrams so it is seen the percentage of errors that occur.

URI :
https://doi.org/10.47841/icorad.v1i1.16

Collections :
Laporan/Kontrak Penelitian DRPM [1281]