Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization
<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p><span>Assesing quality university’s website trough webometrics is becoming one of many measures in </span>&...
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Jurusan Ilmu Komputer Universitas Negeri Semarang
2017-05-01
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Online Access: | https://journal.unnes.ac.id/nju/index.php/sji/article/view/6738 |
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doaj-d31e134c0dbd413cbb843bf53f3cda802020-11-24T22:53:45ZengJurusan Ilmu Komputer Universitas Negeri SemarangScientific Journal of Informatics2407-76582460-00402017-05-01411710.15294/sji.v4i1.67386010Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking OptimizationTenia WahyuningrumRidwan Pandiya<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p><span>Assesing quality university’s website trough webometrics is becoming one of many measures in </span><span>World Class University. To get good grades, so that it can compete with other universities in the world, it needs to be pursued strategies based on the achievement of the perspective of cost (expenses) and the condition of the availability and readiness of human resource (HR owned) by the institution. Webometrics ranking optimization tailored to the institutional capacity is absolutely necessary, in order to achieve the expected goals effectively and fuel-efficient. Therefore, this paper discussed the application of the Analytical Hierarchy Process with Logarithmic Fuzzy Preference Programming combination proved to covered of the methods FPP on the university web ranking optimization. From the results of sub-criteria weighting based on the perspective of cost and human resources, earned the highest ranking among other factors recommended monitoring the ranking of sites ahrefs (C332) and majesticseo (C331) as well as increasing the number of links from other websites (C321). </span></p></div></div></div></div>https://journal.unnes.ac.id/nju/index.php/sji/article/view/6738World Class University, Webometrics, Analytical Hierarchy Process, Logarithmic Fuzzy Preference Programming |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tenia Wahyuningrum Ridwan Pandiya |
spellingShingle |
Tenia Wahyuningrum Ridwan Pandiya Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization Scientific Journal of Informatics World Class University, Webometrics, Analytical Hierarchy Process, Logarithmic Fuzzy Preference Programming |
author_facet |
Tenia Wahyuningrum Ridwan Pandiya |
author_sort |
Tenia Wahyuningrum |
title |
Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization |
title_short |
Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization |
title_full |
Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization |
title_fullStr |
Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization |
title_full_unstemmed |
Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization |
title_sort |
logaritmic fuzzy preference programming approach for evaluating university ranking optimization |
publisher |
Jurusan Ilmu Komputer Universitas Negeri Semarang |
series |
Scientific Journal of Informatics |
issn |
2407-7658 2460-0040 |
publishDate |
2017-05-01 |
description |
<div class="page" title="Page 1"><div class="section"><div class="layoutArea"><div class="column"><p><span>Assesing quality university’s website trough webometrics is becoming one of many measures in </span><span>World Class University. To get good grades, so that it can compete with other universities in the world, it needs to be pursued strategies based on the achievement of the perspective of cost (expenses) and the condition of the availability and readiness of human resource (HR owned) by the institution. Webometrics ranking optimization tailored to the institutional capacity is absolutely necessary, in order to achieve the expected goals effectively and fuel-efficient. Therefore, this paper discussed the application of the Analytical Hierarchy Process with Logarithmic Fuzzy Preference Programming combination proved to covered of the methods FPP on the university web ranking optimization. From the results of sub-criteria weighting based on the perspective of cost and human resources, earned the highest ranking among other factors recommended monitoring the ranking of sites ahrefs (C332) and majesticseo (C331) as well as increasing the number of links from other websites (C321). </span></p></div></div></div></div> |
topic |
World Class University, Webometrics, Analytical Hierarchy Process, Logarithmic Fuzzy Preference Programming |
url |
https://journal.unnes.ac.id/nju/index.php/sji/article/view/6738 |
work_keys_str_mv |
AT teniawahyuningrum logaritmicfuzzypreferenceprogrammingapproachforevaluatinguniversityrankingoptimization AT ridwanpandiya logaritmicfuzzypreferenceprogrammingapproachforevaluatinguniversityrankingoptimization |
_version_ |
1725661991464337408 |