scholarly journals Pengembangan Kategori Edukasi Berkelanjutan dalam Penilaian Green Campus di Indonesia (Hal. 12-19)

2018 ◽  
Vol 4 (3) ◽  
pp. 12
Author(s):  
Irvan Qomaruzzaman ◽  
Rindu Evelina ◽  
Mia Wimala
Keyword(s):  
United States ◽  
Analytical Hierarchy Process ◽  
Rapid Development ◽  
The United States ◽  
Analytic Hierarchy ◽  
Green Campus ◽  
Assessment Standard ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

ABSTRAKGreen campus adalah konsep yang memanfaatkan kampus sebagai media untuk mengintegrasikan ilmu pengetahuan keberlanjutan ke dalam kebijakan, manajemen maupun kegiatan perguruan tinggi. Berdasarkan standar yang telah ada, edukasi menjadi hal mendasar yang dipertimbangkan dalam penilaian suatu green campus. Dengan perkembangan isu keberlanjutan yang sangat pesat, penelitian ini bertujuan untuk mengembangkan kategori Education (ED) dari UI GreenMetric untuk menjadi standar yang lebih efektif. Pengembangan kategori dilakukan dengan membandingkannya dengan kategori sejenis dari STARS. Pembobotan ulang terhadap sub kategori, beserta indikator dan sub indikator baru selanjutnya dilakukan menggunakan metode Analytical Hierarchy Process. Empat sub kategori yang berhasil dikembangkan meliputi Akademik Berkelanjutan, Pengembangan Profesional Berkelanjutan, Dukungan Berkelanjutan, dan Penilaian Berkelanjutan. Studi kasus di Universitas Katolik Parahyangan juga dilakukan untuk tujuan verifikasi dari kategori Edukasi Berkelanjutan (EB) yang baru.Kata kunci: green campus, standar penilaian, UI GreenMetric, STARS ABSTRACTGreen campus is a concept that leverages the campus as a medium to integrate the concept of sustainability into policy, management and university activities. Based on existing standards, education has been regarded as one of the fundamental things considered in green campus assessment both in Indonesia and in some other countries. With the rapid development of sustainability issues in recent years, this research aims to develop GreenMetric UI into a more effective green campus assessment standard, focusing on the Education (ED) category. The development of this ED category was done by comparing it with similar categoriesof STARS, the green campus standard in the United States. The re-weighting of sub categories, together with the new indicators and sub-indicators contained in this category, was subsequently carried out using the Analytic Hierarchy Process method. The four sub-categories which were successfully developed in this research include Sustainable Academic, Sustainable Professional Development, Sustainable Support, and Sustainable Assessment. For verification purpose, a study on campus performance at Universitas Katolik Parahyangan was conducted using the newly developed category. Kata Kunci: green campus, asssessment standard, UI GreenMetric, STARS

scholarly journals Water Security in Green Campus Assessment Standard

2019 ◽  
Vol 93 ◽  
pp. 02003 ◽  
Author(s):  
Mia Wimala ◽  
Bob Zirads ◽  
Rindu Evelina
Keyword(s):  
Fresh Water ◽  
Analytical Hierarchy Process ◽  
Human Life ◽  
Water Security ◽  
The Earth ◽  
Green Campus ◽  
Points Of View ◽  
Assessment Standard ◽  
Hierarchy Process ◽  
Process Method

The importance of fresh water in human life entails people to be conscious of conserving the resources since only one percent of the total fresh water on the earth is easily accessible. Green campus is a concept implemented by campuses where policies are lead to ecological points of view. This research aims to update the UI GreenMetric standard, focusing on Water (WA) category as a recommendation for Universitas Indonesia as the initiator. Referrals from other related standards, i.e. STARS® and Greenship were done on developing the category with its contents. Furthermore, the re-weighting and re-scoring system of the newly developed category were carried out using Analytical Hierarchy Process method, adjusted to the existing laws/regulations in Indonesia. For verification purposes, a study on campus performance at Universitas Katolik Parahyangan, was conducted using the newly developed category. The proposed strategies were then set to improve the campus performance in the future.

Analytic Hierarchy Process Method Based on the Cask Theory

2015 ◽  
Vol 713-715 ◽  
pp. 1610-1614
Author(s):  
Yan Li ◽  
Xiao Dong Mu ◽  
Wei Song ◽  
Hui Wei Shi
Keyword(s):  
Expert System ◽  
Analytic Hierarchy Process ◽  
System Performance ◽  
Strong Impact ◽  
Analytic Hierarchy ◽  
Judgment Matrix ◽  
Index Value ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process ◽  
Process Method

When using the traditional AHP to evaluate the system,the method of endow with weight is to request expert build the judgment matrix of every hierarchies. The method is over-subjective for its overdependence on expert system. In view of this, this paper puts forward an analytic hierarchy process method based on the cask theory. This method penalizes the index whose index value is too low to having a strong impact on overall system performance. Using this method achieves the goal of reducing the subjectivity. Finally, according to the example, this method’s superiority is proved.

UX (User Experience)-Driven Website Design Utilizing Analytic Hierarchy Process (AHP) Multi-Attribute Decision Modeling

2018 ◽  
pp. 121-135
Author(s):  
Ron Cheek ◽  
Martha Sale ◽  
Colleen Carraher Wolverton
Keyword(s):  
United States ◽  
Best Practices ◽  
Analytic Hierarchy Process ◽  
The United States ◽  
Website Design ◽  
Analytic Hierarchy ◽  
Robust Model ◽  
Social Media Tools ◽  
Come Into The Market ◽  
Hierarchy Process

The success of an organization's website is determined by the user's experience (UX). Yet many organizations continue to struggle to find tools to strategically analyze the UX's satisfaction with their websites and overall online presence. While there have been numerous studies offering “best practices” for website design, most of these are dated and do not take into consideration UX's experience and social media tools that come into the market. In this chapter, over 900 surveys were conducted on Inc. Magazine's Top 500 list (2011-13) of fastest growing companies in the United States. The analysis of these surveys resulted in a list of shared elements (best practices) common to the websites surveyed. Through the use of the analytic hierarchy process (AHP) multi-attribute decision model, the authors developed a measure by which companies can assess their customer's experience and compare it to these best practices model. This model provides an internally consistent, robust model against which to measure an organization's website based on the user's experience (UX).

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