Decision Support System of Keyword Selection Web Site Using Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW)

Abstract

The keyword is one or a group of words used by websites to improve your visibility on search engines. The selection of keywords from the results displayed by Google's keyword planner still not match the expectations of the webmaster, so that needs to be determined the choice and order of priority keywords which will be optimized beforehand. Therefore, a system that supports webmasters in making decisions on choosing keywords that will be optimized previously for search engines is needed. The methods used in this research is Analytical Hierarchy Process (AHP) to find the weighting parameters and Simple Additive Weighting (SAW) applied to find the final value and rank. The results showed that the system is running as expected, so it can be used as a basis in support of the decision of the webmaster in determining the priority of the optimization of keywords that will be worked out with the results of the comparison between the manual system with 100%.

Keywords

decision support system, AHP, SAW

Full Text:

PDF (Bahasa Indonesia)

References

Consumer Barometer, Compare Digital Trended Data Over Time, Online: Diakses pada 28 Desember 2018.

Deloitte Access Economics “SMEs Powering Indonesia’s Success”, Online: https://www2.deloitte.com/id/en/pages/financial-advisory/articles/smes-powering-indonesia-success-report.html, Diakses pada 28 Desember 2018.

APJII, Profil Pengguna Internet Indonesia 2016. Buletin APJII 05 November 2016.

Moz, What are Keywords?, Online: https://moz.com/learn/seo/what-are-keywords, Diakses pada 28 Desember 2018.

Indrianingsih, Y., & Naibaho, W. (2017). Sistem Pendukung Keputusan Penentuan Jenis Tanaman Pangan Berdasarkan Kandungan Tanah Menggunakan Metode Analytical Hierarchy Process (AHP) dengan Algoritma Genetika. Compiler, 4(2).

Kharisma, L. P. I., & Hartati, S. (2016). Sistem Pendukung Keputusan Untuk Seleksi Penerimaan Dosen Menggunakan Metode AHP Dan SAW (Studi Kasus: STMIK SZ NW Anjani), Tesis S2 Ilmu Komputer UGM, 2016.

Pradito, R., & Indrianingsih, Y. (2017). Analisis Perbandingan Metode Weighted Product (WP) dengan Metode Simple Additive Weighting (SAW) Untuk Mendukung Keputusan Pemilihan Biro Perjalanan Pariwisata. Compiler, 3(2).

Simon H.A. (2013). A Study of Decision-making Processes in Administrative Organisations. 4th edition, Macmillan Publishers, Amerika Serikat.

Kusrini, K., & Keputusan, A. S. P. (2007). Penerbit CV. Andi Offset, Yogyakarta.

Saaty, T. L. (1984). The analytic hierarchy process: Decision making in complex environments. In Quantitative Assessment in Arms Control (pp. 285-308). Springer, Boston, MA.

Priadana, A. (2018). SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN DELETED DOMAIN DENGAN METODE AHP DAN SAW. Teknomatika, 10(2), 1-12.

Darmastuti, D. (2013). Implementasi Metode Simple Additive Weighting (SAW) dalam Sistem Informasi Lowongan Kerja Berbasis Web untuk Rekomendasi Pencari Kerja Terbaik. Jurnal Sistem dan Teknologi Informasi (JustIN), 1(2), 114-119.

Fishburn, P. C. (1967). Letter to the editor—additive utilities with incomplete product sets: application to priorities and assignments. Operations Research, 15(3), 537-542.

Murdiyanto, A. W. (2018). SISTEM REKOMENDASI EVALUASI AWAL SITUS WEB SECARA OTOMATIS TERHADAP MESIN PENCARI. Teknomatika, 10(2), 45-58.

Murdiyanto, A. W. (2018). SISTEM REKOMENDASI EVALUASI AWAL SITUS WEB SECARA OTOMATIS TERHADAP MESIN PENCARI. Teknomatika, 10(2), 45-58.

Priyanto, A., & Ma'arif, M. R. (2018). Implementasi Web Scrapping dan Text Mining untuk Akuisisi dan Kategorisasi Informasi dari Internet (Studi Kasus: Tutorial Hidroponik). Indonesian Journal of Information Systems, 1(1), 25-33.

Saputra, A. B., & Cahyono, A. (2018). APLIKASI MONITORING CAPAIAN KOMPETENSI PESERTA DIDIK DI SMA KOLOMBO YOGYAKARTA. Angkasa: Jurnal Ilmiah Bidang Teknologi, 10(2), 172-179..

http://dx.doi.org/10.28989/compiler.v8i1.429

Article Metrics

Abstract view: 734 times
Download     : 459   times

This work is licensed under a Creative Commons Attribution 4.0 International License.

Refbacks

• There are currently no refbacks.