skip to main content

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
Open Access Copyright (c) 2018 JSINBIS (Jurnal Sistem Informasi Bisnis)

Citation Format:
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).

Fulltext View|Download |  Research Instrument
Untitled
Subject
Type Research Instrument
  Download (209KB)    Indexing metadata
Keywords: Information Quality; Information Quality Assessment; Six Sigma; Analytic Hierarchy Process (AHP); Quality Function Deployment (QFD)

Article Metrics:

  1. Aziz, I., 2014. Jumlah Member Kaskus Tembus 7 Juta User. Aktual Post, page 11. http://www.aktualpost.com/2014/11/ jumlah-memberkaskus-tembus-7-juta-user.html diakses tanggal 15 November 2015
  2. Black, K., Revere, L., 2006. Six Sigma arises from the ashes of TQM with a twist. International Journal of Health Care Quality Assurance 19 (2/3), 259-66
  3. Gardhadipura, A., 2015. Kronologis Singkat Tentang Kasus Rama. Kompasiana. http://www.kompasiana.com/ariagardhadipura/kronologis-singkattentang-kasus, diakses tanggal 25 Desember 2015
  4. Gaspersz, V., 2011. Total Quality Management. Jakarta : Gramedia Pustaka Utama
  5. Grafelly, D., 2016. Path Tidak Bisa Diakses Karena Diretas Itu Berita Hoax. www.techno.id/social/path-tidak-bisa-diakses-karena-diretas-itu-berita-hoax-160304o.html diakses tanggal 4 Maret 2016
  6. Indrawati, 2015. Metode Penelitian Manajemen dan Bisnis Konvergensi Teknologi Komunikasi dan Informasi. (Cetakan 1). Bandung: PT. Refika Aditama
  7. Islam, R., Ahmed, M., Alias, M., 2007. Application of quality function deployment in redesigning website: A case study on TV3. Munich Personl RePEc Archive, II (2), 206
  8. Jamaludin, F., 2015. Kasus Penipuan Blackpanda, Kaskus Angkat Bicara. Merdeka. http://www.merdeka.com/teknologi/kasus-penipuan-blackpanda-kaskus-angkat-bicara.html diakses tanggal 25 Desember 2015
  9. Jeko I.R,, 2015. Raih 8 Juta User, Kaskus Ingin Gandeng Lebih.Banyak.Komunitas.. .http://tekno .liputan6.com/read/2223590/raih-8-juta-user-kaskus-ingin-gandeng-lebih-banyak-komunitas, diakses tanggal 15 November 2015
  10. Kusumadewi, S., 2006. Fuzzy Multi-Attribute Decision Making (Edisi Pertama). Yogyakarta : Graha ilmu
  11. Kwak, Y.H., Anbari, F.T., 2006. Benefits, obstacles and future of Six Sigma approach, Technovation 26, 708-15
  12. Lee, S.H., Haider, A., 2011. A Framework for Informatin Quality Assessment Using Six Sigma 2011, Article ID 927907, 1-9
  13. Lee, S.H., Haider, A., Kim, J.G., Bahador, K.M.K., 2012. Information Quality Assessment in Korean Manufacturing Organization 23, 3-5
  14. Madnick, S. E., Wang, R. T., Lee, Y. W., Zhu, H., 2009. Overview and framework for data and information quality research. Journal of Data and Information Quality (JDIQ) 1 (1), 1–22
  15. Naumann, F., Rolker, C., 2000. Assessment methods for information quality criteria. Proceedings of the International Conference on Information Quality, Cambridge, MA
  16. Petter, S., DeLone, W., McLean, E., 2008. Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems 17 (3). 236–263
  17. Jekaran, U., 2011. Research Methods for business Edisi I and 2. Jakarta: Salemba Empat
  18. Sugiyono, 2010. Metode Penelitian pedidikan pendekatan kuantitatif, kualitatif, dan R&D. Bandung: Alfabeta

Last update:

No citation recorded.

Last update: 2024-12-25 17:35:16

No citation recorded.