University Website Quality Ranking Using Logarithmic Fuzzy Preference Programming

Alhamdulillah, paper kami telah terbit *meskipun baru abstraknya* di Jurnal IJECE Q2 Scopus,  Vol 8, No 5 .

Jurnal kali ini menerapkan metode LFPP untuk menentukan kualitas website universitas. LFPP digunakan untuk menentukan bobot prioritas setiap kriteria pengujian berdasarkan tingkat kepentingannya. LFPP merupakan metode pengembangan dari FPP yang menerapkan logaritma bilangan natural untuk mengatasi kelemahan FPP. Metode FPP memiliki kekurangan dalam penentuan nilai keanggotaan fuzzy yang negatif, dimana hal ini tidak masuk akal. Selain itu, metode FPP menghasilkan nilai yang jamak, sedangkan seharusnya nilai optimal yang diharapkan adalah tunggal. LFPP menjawab semua kekurangan FPP, sehingga nilai yang dihasilkan tak lagi negatif, dan menghasilkan solusi tunggal.

Berikut ini abstraknya :

The current tight competition in developing University websites forces developers to create better products that meet users needs and convinient. There are at least two factors representing university websites; accessibility and usability. We test three criteria of accessibility and usability that are called stickiness, backlink, and web page loading time. Usability and accessibility are closely related to subjective user judgments. Human judgment cannot be valid. Thus the use of fuzzy numbers are expected to provide solutions in calculating the results. In this research, the question of usability is a multi criteria decision-making problem that is caused by its complex structure. We use the Logarithmic Fuzzy Preference Programming (LFPP) method, which is a refinement of the Fuzzy Analytical Hierarchy Process  method, to solve this problem. This research aims to re- assess the rank of five Indonesian university websites. Based on LFPP method, we obtain that the equation of model gets high consistency of the set priority matching to fuzzy pairwise comparison matrix of three selection criteria. The calculation results show that stickiness is the most significant factor that affects the quality of the websites.

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