SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN RELAWAN TERBAIK DI PMI KOTA BENGKULU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHT (SAW)

  • Samsuri Ridwan Universitas Dehasen Bengkulu
  • Herlina Latipa Sari Universitas Dehasen Bengkulu
  • Eko Suryana Universitas Dehasen Bengkulu
DOI: https://doi.org/10.37676/jmi.v11i1.251

Abstract

The main objectives and the holding of this study was to create a Decision Support System for Determining the Best Volunteer at PMI Bengkulu with Simple Additive Weighting method (SAW) using Visual Basic Programming Language 6.0. Data collection methods used in this study is the observation, interviews, and literature. Software used to build this system is the programming language Visual Basic 6.0 and the results obtained are able to provide fast and precise output. The results obtained from this study is a Decision Support System for Determining the Best Volunteer at PMI Bengkulu with Simple Additive Weighting method (SAW) which results in a decision that is the end result. From the main menu there is a system consisting of volunteers of data, weighting the data, the data value criteria, SPK and process data menu peorangan report that contains reports and ranking reports. From the discussion, it can be concluded that the Decision Support System for Determining the Best Volunteer at PMI Bengkulu Bengkulu Weigthing Simple Additive method (SAW) replaces the old system with a new system which is a program that is specific.

Keywords: Decision Support System for Determining the Best Volunteer

Downloads

Download data is not yet available.
Published
2015-02-09
How to Cite
Ridwan, S., Sari, H., & Suryana, E. (2015). SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN RELAWAN TERBAIK DI PMI KOTA BENGKULU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHT (SAW). JURNAL MEDIA INFOTAMA, 11(1). https://doi.org/10.37676/jmi.v11i1.251
Issue
Vol 11 No 1 (2015)
Section
Penelitian

An author who publishes in Jurnal Media Infotama agrees to the following terms:The author holds the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-Share Alike 4.0 License which allows others to share the work with acknowledgment of the work's authorship and initial publication in this journal.Submission of a manuscript implies that the submitted work has not been previously published (except as part of a thesis or report, or abstract); that it is not being considered for publication elsewhere; that its publication has been approved by all co-authors. If and when a manuscript is accepted for publication, the author retains the copyright and retains the publishing rights without limitation.

For new inventions, authors are advised to administer the patent before publication. The license type is CC-BY-SA 4.0. 

MEDIA INFORMATION REVIEW: Journal of the Faculty of Computer Science is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.You are free to:Share

— copy and redistribute material in any medium or formatAdapt

— remix, modify and develop materialfor any purpose, even commercial.

The licensor cannot revoke this freedom as long as you follow the license terms