Analisis dan Pengukuran Kualitas Informasi Pada Website Menggunakan Pendekatan Six Sigma

Bagus Faisal  -  Telkom University, Indonesia
*Candiwan Candiwan scopus  -  Telkom University, Indonesia
Yudi Priyadi  -  Telkom University, Indonesia
Received: 10 Oct 2017; Published: 30 Apr 2018.
DOI: https://doi.org/10.21456/vol8iss1pp84-91 View
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Abstract

Information held by a company is one of the important factors for its success. Nowadays with rapid development of usage of internet and social media, bad information can also have a significantly negative impact on every element / level that exists in the company or in the community. Sometimes it can lead to public unrest. Bad or good information has correlation with the quality of information. The aim of this research  is to assest and analyze  the quality of information using Six Sigma approach and we choose Kaskus website as a case study. Kaskus is the largest community online in Indonesia. It provided various kinds of information to its user. By using its approach, this research consists of 5 stages, they are “define”, “measure”, “analysis”, “improve”, and “control”. Each phase/stage using different tools to assess the current Information Quality, such as questionnaires for define phase, “Expert Choice”(Analytic Hierarchy Process) for measure phase, and quality function deployment (QFD) for analysis stage. Questionnaires used for defining customer specifications and identify information quality problem, meanwhile software “Expert Choice” used to measure the importance each quality information dimensions and then to validate/analyzise the problem of the data. And lastly, QFD used to determine the mutual relationships of information quality dimensions and critical to Information Quality factors. Output of “Analyze” stage shows that Accuracy, Relevancy, and Objectivity dimension on Kaskus website need to be improved immediately because it reaches unacceptable point.

Note: This article has supplementary file(s).

Keywords: Information Quality; Information Quality Assessment; Six Sigma; Analytic Hierarchy Process (AHP); Quality Function Deployment (QFD)

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