ANALYSIS COMPARATIVE OF THIRTY BEST WORLD UNIVERSITY RANKED ACCORDING TO WEBOMETRICS RELEASE METHODS AND RESULTS RANK WITH ORESTE AND BAYESIAN

This research was conducted to compare the university website ranked 30 world's best releases by Webometrics ranking results are calculated using two different ranking methods. The object of this study is 30 websites according to Webometrics world's best universities. Data collection was performed 3 times with a gap of 1 week, and then average the data for subsequent processing by Oreste methods and Bayesian methods that are known by the rank of each method. These results with these two methods were then compared with the release of Webometrics January 2012 using the Spearman test and the Friedman test as a test of the feasibility of the hypothesis. The results showed: (1) A comparison of methods Oreste with Bayesian methods are equally significant or there is a match. Proven in 30 samples with values α = 0.05, the value of ρ = 0.838932 where the count is greater than a magnitude of 0.3063 ρ table. (2) Comparison of methods Oreste with a significant release of Webometrics is the same or there is a match. Proven in 30 samples with values α = 0.05, the value of ρ = 0.688543 where the count is greater than a magnitude of 0.3063 ρ table. (3) Comparison of Bayesian methods with a significant release of Webometrics is the same or there is a match. Proven in 30 samples with values α = 0.05, the value of ρ = 0.608899 where the count is greater than a magnitude of 0.3063 ρ table. (4) There is no significant difference between the methods of Oreste, and Bayesian methods in determining the release of Webometrics rankings. Proven in 30 samples with values α = 0.05, calculate the value of X ² = 0.95 where X ² = 5.991 so that the size of the tables are in the reception area of Ho. Keywords: webometrics releases, academic websites, universitie

COMPARATIVE ANALYSIS OF WEBOMETRICS RANKING STATE AND PRIVATE UNIVERSITY IN INDONESIA RANKING WITH PROMETHEE AND VIKOR METHODS

The research was conducted to determine the comparative rank among academics website rank in Indonesia by using the promethee and vikor method with Webometrics rank. This study used two instruments, google search engine and web crawler socscibot. This research object is the top 10 state academic website in Indonesia and top 10 private academic website in Indonesia according to Webometrics rank release in July 2011. Twentieth academic website data retrieval is done using a web crawler and search engine google socscibot to determine visibility, size, rich files, and scholar. After the data was obtained then performed to obtain the results of calculations by the promethee and vikor method. The results were then compared with Webometrics rank the release in January 2012 by using spearman test and friedman test for hypotheses tested. The results showed (1) Spearman test promethee rank with the same vikor rank is significant, as evidenced by the value of rs count the value 0.9008 which is larger than 5% significance level that should be 0.3805. (2) Spearman test Webometrics rank with promethee rank is significantly different, as evidenced by the value of rs count value -0.1444 which is worth less than 5% significance level that should be worth 0.3805. (3) Spearman test Webometrics rank with vikor rank is significantly different, as evidenced by the value of rs count value -0.2797 which is worth less than 5% significance level that should be worth 0.3805. (4) Friedman test promethee rank, vikor rank, and Webometrics rank is a significant and equal, as evidenced by the calculated F-value 0.225, which is worth less than the significance level of 5% and 2 degrees of freedom that should be worth 6.300. Key words: promethee methods, vikor methods, friedman test, spearman test, Webometrics, websit

USABILITY ANALYSIS OF HIGHER EDUCATION ACADEMIC WEBSITE IN INDONESIA USING PROMETHEE, VIKOR, AND ELECTREE METHOD

The study was conducted to analyze the quality of website usability academic universities in Indonesia as well as to determine the effect of the quality of the website usability ratings in Webometrics ranking. The results of the analysis is then presented in the form of ranking, using PROMETHEE, VIKOR, and ELECTREE Method. The study also aims to determine the outcome of comparison of the three methods. Object of this study is five academic website universities in Indonesia, UNY, UGM, UNDIP, UNAIR, UI. The data obtained is then performed calculations to obtain the results. Assessment results are then made using the method of rank PROMETHEE, VIKOR, and ELECTREE. The results of the rank from the three methods were compared using the Friedman test. Each result of rank of these methods will also be compared with the results of Webometrics ranking the release in July 2011 using the Spearman test. The results showed: (1) The results of using PROMETHEE, VIKOR, and ELECTREE Method are equally significant. Proven Friedman test probability value of 75, which is actually larger than the significance level of 5%, which is 5.99 (2) Comparison of the results PROMETHEE , VIKOR, and ELECTREE Method by Webometrics ranking results are equally significant. Proven Spearman test probability values for VIKOR AND ELECTREE, respectively by 0.9 and for PROMETHEE of 1, which is actually more of a significance level of 5%, ie (rs> 0.05). (3) The quality affects usability ratings in Webometrics ranking. Proved to be the better quality of website usability website ranked higher in Webometrics ranking. Keywords: website usability, PROMETHEE, VIKOR, ELECTREE, Webometrics Ranking, academic websit

ANALISIS PERBANDINGAN RANGKING WEBOMETRICS UNIVERSITAS TERBAIK DI INDONESIA DENGAN PERANGKINGAN METODE TOPSIS DAN VIKOR

Penelitian ini bertujuan untuk mengetahui perbandingan peringkat website akademik perguruan tinggi di Indonesia menurut Webometrics berdasarkan dengan metode Topsis dan metode Vikor. Penelitian ini menggunakan dua instrumen yaitu search engine google dan web crawler socscibot. Jenis penelitian ini adalah penelitian kuantitatif dengan obyek penelitian 30 website akademik perguruan tinggi terbaik di Indonesia sesuai dengan peringkat Webometrics. Teknik pengumpulan data dilakukan selama 90 hari dan dilakukan secara berulang-ulang. Hal ini dilakukan agar mendapatkan data yang reliabel dan valid. Data yang diperoleh kemudian dilakukan perhitungan untuk memperoleh hasil perangkingan dengan metode Topsis dan Vikor. Analisis data menggunakan uji Friedman dan Spearman guna memperoleh uji kelayakan hipotesis. Hasil penelitian menggunakan uji statistik menunjukkan bahwa hasil (1) uji Spearman perangkingan metode Topsis dengan perangkingan metode Vikor adalah signifikansi sama, terbukti dengan nilai rs hitung yang bernilai 0.7134 dimana bernilai lebih besar dari taraf signifikansi 5 % yang seharusnya 0.3063. (2) Uji Spearman perangkingan metode Webometrics dengan perangkingan metode Topsis adalah signifikan berbeda, terbukti dengan nilai rs hitung yang bernilai -0.1693 dimana bernilai kurang dari taraf signifikansi 5% yang seharusnya bernilai 0.3063. (3) Uji Spearman perangkingan metode Webometrics dengan perangkingan metode Vikor adalah signifikan berbeda, terbukti dengan nilai rs hitung yang bernilai 0.0118 dimana bernilai kurang dari taraf signifikansi 5 % yang seharusnya bernilai 0.3063. (4) Uji Friedman perangkingan menggunakan metode Topsis, Vikor dan Webometrics adalah memiliki taraf signifikansi yang sama, terbukti dari hasil perhitungan hitung bernilai 1.8 kurang dari taraf signifikansi dengan α = 5% yang seharusnya bernilai 5.991

COMPARATIVE ANALYSIS OF WEBOMETRICS RANKING STATE AND PRIVATE UNIVERSITY IN INDONESIA RANKING WITH GREY RELATIONAL ANALYSIS, VIKOR AND ENTROPY METHODS

The research was conducted to determine the comparative rank among academics website rank in Indonesia by using the grey relational analysis, vikor and entropy method with Webometrics rank. This study used two instruments, google search engine and majestic seo search engine. This research object is the top 20 state and private academic website in Indonesia according to Webometrics rank release in January 2012. Twentieth academic website data retrieval is done using a majestic seo search engine and google search engine to determine visibility, size, rich files, and scholar. After the data was obtained then performed to obtain the results of calculations by the grey relational analysis and vikor method, by use the weight of webometrics and entropy method. The results were then compared with Webometrics rank the release in January 2012 by using spearman test and friedman test for hypotheses tested. The results showed spearman test with significantly same is comparation between grey webometrics with grey entropy methods and vikor webometrics with vikor entropy methods, while friedman test also significantly same, that is comparation between grey webometrics, vikor webometrics, grey entropy, vikor entropy methods and webometrics rank release in January 2012. The comparation result which significantly same from spearman and friedman test can used by webometrics rank prediction and become size source for predict release rank by webometrics in the future. Key words : grey relational analysis methods, vikor methods, entropy methods, friedman test, spearman test, Webometrics, websit

A webometric analysis of Australian Universities using staff and size dependent web impact factors (WIF)

This study describes how search engines (SE) can be employed for automated, efficient data gathering for Webometric studies using predictable URLs. It then compares the usage of staffrelated Web Impact Factors (WIFs) to sizerelated impact factors for a ranking of Australian universities, showing that rankings based on staffrelated WIFs correlate much better with an established ranking from the Melbourne Institute than commonly used sizedependent WIFs. In fact sizedependent WIFs do not correlate with the Melbourne ranking at all. It also compares WIF data for Australian Universities provided by Smith (1999) for a longitudinal comparison of the WIF of Australian Universities over the last decade. It shows that sizedependent WIF values declined for most Australian universities over the last ten years, while staffdependent WIFs rose

Utilising content marketing metrics and social networks for academic visibility

There are numerous assumptions on research evaluation in terms of quality and relevance of academic contributions. Researchers are becoming increasingly acquainted with bibliometric indicators, including; citation analysis, impact factor, h-index, webometrics and academic social networking sites. In this light, this chapter presents a review of these concepts as it considers relevant theoretical underpinnings that are related to the content marketing of scholars. Therefore, this contribution critically evaluates previous papers that revolve on the subject of academic reputation as it deliberates on the individual researchers’ personal branding. It also explains how metrics are currently being used to rank the academic standing of journals as well as higher educational institutions. In a nutshell, this chapter implies that the scholarly impact depends on a number of factors including accessibility of publications, peer review of academic work as well as social networking among scholars.peer-reviewe

Identifying Overlapping and Hierarchical Thematic Structures in Networks of Scholarly Papers: A Comparison of Three Approaches

We implemented three recently proposed approaches to the identification of overlapping and hierarchical substructures in graphs and applied the corresponding algorithms to a network of 492 information-science papers coupled via their cited sources. The thematic substructures obtained and overlaps produced by the three hierarchical cluster algorithms were compared to a content-based categorisation, which we based on the interpretation of titles and keywords. We defined sets of papers dealing with three topics located on different levels of aggregation: h-index, webometrics, and bibliometrics. We identified these topics with branches in the dendrograms produced by the three cluster algorithms and compared the overlapping topics they detected with one another and with the three pre-defined paper sets. We discuss the advantages and drawbacks of applying the three approaches to paper networks in research fields.Comment: 18 pages, 9 figure

Comparing webometric with web-independent rankings: a case study with German universities

In this paper we examine if hyperlink-based (webometric) indicators can be used to rank academic websites. Therefore we analyzed the interlinking structure of German university websites and compared our simple hyperlink-based ranking with official and web-independent rankings of universities. We found that link impact could not easily be seen as a prestige factor for universities.Comment: 3 pages, ACM Web Science 201