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Journal : scientific journal of informatics

Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization Wahyuningrum, Tenia; Pandiya, Ridwan
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.6738

Abstract

Assesing quality university’s website trough webometrics is becoming one of many measures in 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). 
Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization Wahyuningrum, Tenia; Pandiya, Ridwan
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.6738

Abstract

Assesing quality universitys website trough webometrics is becoming one of many measures in 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).
Logaritmic Fuzzy Preference Programming Approach for Evaluating University Ranking Optimization Wahyuningrum, Tenia; Pandiya, Ridwan
Scientific Journal of Informatics Vol 4, No 1 (2017): May 2017
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v4i1.6738

Abstract

Assesing quality university’s website trough webometrics is becoming one of many measures in 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). 
Co-Authors Abdul Karim Ade Fakthul Anam Aditya Tama Isdiarto Aditya Tama Isdiarto Adnan Purwanto Adnan Setyoko Aina Azalea Ardani Ami Atun, Yani Anggun Dewanti Arief Hendra Saptadi Arief Hendra Saptadi Arief Rais Bahtiar Ariq Cahya Wardhana Astiandari, Astin Azhari Azhari Budy Putri, Raden Neomy Lusie Ratna Deseina Catur Nugroho Condro Kartiko Decki Noor Cahyadi Decki Noor Cahyadi Dimas Fanny Hebrasianto Permadi Diovianto Putra Rakhmadani Dodi Zulherman Dwi Dwi Januarita Dwi Januarita Dwi Januarita Dwi Januarita Dyah Wahyuningsih Eko Puji Utomo Eko Puji Utomo Fakhir Mustafa Afdal Faridzal Eka Nugraha, Maulana Galih Hendro Martono Galih Putra Pamungkas Gilang Ramadhan GITA FADILA FITRIANA Hamidatun Nisa Hasan, Thowaf Fuad Helna Wardhana Heriyanto Heriyanto Imelda, Imelda Irwan Susanto Joewandewa Yuliansyah Khabib Mustofa Khoem Sambath Khoem Sambath Khofifah Putriyani Kristianto, Giovanny Bangun Maulida, Armeisa Ahda Meliana Dewi Mellinevia Mahera Morleedia Adi Yahya Muhammad Akbar Setiawan Muhammad Amien Sidiq Muhammad Nabil Irfanurhalim Nathanael Andra Wijaya Naurah Qatrunnada Ni'mah Al Kautsar, Annisa Wahidhatun Nicolaus Euclides Wahyu Nugroho Ningrum, Ema Wahyu Novi Ika Atikah Novi Ika Atikah Novian Adi Prasetyo Prasetyo Yuliantoro Rajermani Thinakaran Retantyo Wardoyo Ridwan Pandiya Robert Hendra Yudianto Rr. Setyawati Sevia Indah Purnama Silvia Van Marsally Singgih Briandoko Singgih Setia Andiko Singgih Setia Andiko Tantan Taryono Tantan Taryono Teotino Gomes Soares Teotino Gomes Soares Teotino Gomes Soares Teotino Gomes Soares Vern Rahmah Solehah Wirakhmi, Ikit Netra Yakan Khomsi Pane, Sayyid Yogo Dwi Prasetyo Zakiyah Apriliya Budiarti Zein Hanni Pradana