KLASIFIKASI KEBUTUHAN NON-FUNGSIONAL MENGGUNAKAN FSKNN BERBASIS ISO/IEC 25010

Authors

  • Lukman Hakim Departemen Informatika, Fakultas Teknologi Informasi dan Komunikasi, Institut Teknologi Sepuluh Nopember
  • Siti Rochimah Departemen Informatika, Fakultas Teknologi Informasi dan Komunikasi, Institut Teknologi Sepuluh Nopember
  • Chastine Fatichah Departemen Informatika, Fakultas Teknologi Informasi dan Komunikasi, Institut Teknologi Sepuluh Nopember
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DOI:

https://doi.org/10.12962/j24068535.v17i2.a823

Abstract

Aspek kualitas kebutuhan non-fungsional merupakan salah satu faktor penting yang berperan dalam kesuksesan pengembangan perangkat lunak. Namun, mengidentifikasi aspek kualitas kebutuhan non-fungsional merupakan hal yang sulit untuk dilakukan. Karena aspek kualitas kebutuhan non-fungsional sering ditemukan tercampur dengan kebutuhan fungsional.  Oleh karena itu dibutuhkan suatu cara untuk dapat mengidentifikasi aspek kualitas kebutuhan non-fungsional. Penelitian yang ada mampu mengidentifikasi aspek kebutuhan non-fungsional dengan melakukan klasifikasi. Akan tetapi, standar kualitas yang digunakan sebagai rujukan untuk melabeli kalimat kebutuhan masih menggunakan standar ISO/IEC 9126. ISO/IEC 9126 merupakan standar lama yang dirilis pada tahun 2001. Peneliti sebelumnya mengungkapkan ambiguitas dalam enam sub-atribut pada struktur hirarkis ISO/IEC 9126. Oleh karena itu, standar kualitas yang digunakan untuk melabeli kalimat kebutuhan pada penelitian ini adalah ISO/IEC 25010. Sedangkan metode klasifikasi yang digunakan adalah FSKNN. Metode klasifikasi yang digunakan diuji dengan menggunakan nilai tetangga terdekat 10, 20 dan 30.  Pada penelitian ini metode FSKNN berhasil memeroleh nilai tertinggi berdasarkan ground truth pakar yaitu precision sebesar 22.55 dan recall 27.64.

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Published

2019-08-20

Issue

Vol. 17, No. 2, Juli 2019

Section

Articles

How to Cite

[1]
L. Hakim, S. Rochimah, and C. Fatichah, “KLASIFIKASI KEBUTUHAN NON-FUNGSIONAL MENGGUNAKAN FSKNN BERBASIS ISO/IEC 25010”, JUTI, vol. 17, no. 2, pp. 107–116, Aug. 2019, doi: 10.12962/j24068535.v17i2.a823.

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