Linda Nurmala, 2014 The Analysis Of Jargon Formation In Online Trading: A Case Study Of Jargon Formation In Forum
Jual Beli Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
CHAPTER III RESEARCH METHODOLOGY
This chapter discusses the methodology of the present study. It presents the formulation of problems, method of data collection, method of data analysis,
and the procedures of the analysis.
3.1 Formulation of Problems
1. What types of jargon formation processes found in Kaskus FJB forum?
2. What is the most common type of jargon formation processes found in
Kaskus FJB forum?
3. What is the context of situation underlying the use of the jargons?
3.2 Research Method
This research was conducted by using a descriptive qualitative method, and to some extent, simple formula was used to find out the frequencies of the
occurrences of jargons. According to Flick 2009, qualitative research is mainly concerned with the production and analysis of texts, such as transcripts of
interviews or field notes and other analytic materials. The data used in this research is in the form of online threads or postings from Kaskus FJB Forum.
There are several steps of data analysis in this research.
3.3 Data Collection
The data of this study were taken from one of Indonesian websites, Kaskus. Kaskus was created in Novermber 6th 1999 by three young men from
Indonesia. Kaskus is claimed to be the biggest discussion and trading forum in Indonesia. Kaskus has two major forums and one of them is FJB Forum, the data
in this research are taken from FJB Forum. FJB Forum is the forum where Kaskuser Kaskus User can sell or buy things, products or services via online by
Linda Nurmala, 2014 The Analysis Of Jargon Formation In Online Trading: A Case Study Of Jargon Formation In Forum
Jual Beli Universitas Pendidikan Indonesia | repository.upi.edu | perpustakaan.upi.edu
posting a thread to promote their product. The data used in this research is in the form of online threads or postings from Kaskus FJB Forum. There are 35 postings
in FJB Kaskus chosen to be the data. The time length is 8 October 2013 until 16 October 2013. Then after transcribing the data, the researcher sought for jargons
that appear in FJB Forum by using the steps that will be elaborated below. After the chosen postings were collected, the postings were transcribed by
removing unnecessary elements like pictures and link. Then, the transcribed postings were converted into plain text so that they can be read by monoconc
software. By using the help of monoconc software, the jargons found in the postings were counted and then categorized into different types of formations.
Monoconc is also used to help analyzing the context of situation.
3.4 Data Analysis
