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

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

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

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

Exploring the information behaviour of users of Welsh Newspapers Online through web log analysis

Purpose – Webometric techniques have been applied to many websites and online resources, especially since the launch of Google Analytics (GA). To date, though, there has been little consideration of information behaviour in relation to digitised newspaper collections. The purpose of this paper is to address a perceived gap in the literature by providing an account of user behaviour in the newly launched Welsh Newspapers Online (WNO). Design/methodology/approach – The author collected webometric data for WNO using GA and web server content logs. These were analysed to identify patterns of engagement and user behaviour, which were then considered in relation to existing information behaviour. Findings – Use of WNO, while reminiscent of archival information seeking, can be understood as centring on the web interface rather than the digitised material. In comparison to general web browsing, users are much more deeply engaged with the resource. This engagement incorporates reading online, but users’ information seeking utilises website search and browsing functionality rather than filtering in newspaper material. Information seeking in digitised newspapers resembles the model of the “user” more closely than that of the “reader”, a value-laden distinction which needs further unpacking. Research limitations/implications – While the behaviour discussed in this paper is likely to be more widely representative, a larger longitudinal data set would increase the study’s significance. Additionally, the methodology of this paper can only tell us what users are doing, and further research is needed to identify the drivers for this behaviour. Originality/value – This study provides important insights into the underinvestigated area of digitised newspaper collections, and shows the importance of webometric methods in analysing online user behaviour

An evaluation of Bradfordizing effects

The purpose of this paper is to apply and evaluate the bibliometric method Bradfordizing for information retrieval (IR) experiments. Bradfordizing is used for generating core document sets for subject-specific questions and to reorder result sets from distributed searches. The method will be applied and tested in a controlled scenario of scientific literature databases from social and political sciences, economics, psychology and medical science (SOLIS, SoLit, USB Köln Opac, CSA Sociological Abstracts, World Affairs Online, Psyndex and Medline) and 164 standardized topics. An evaluation of the method and its effects is carried out in two laboratory-based information retrieval experiments (CLEF and KoMoHe) using a controlled document corpus and human relevance assessments. The results show that Bradfordizing is a very robust method for re-ranking the main document types (journal articles and monographs) in today’s digital libraries (DL). The IR tests show that relevance distributions after re-ranking improve at a significant level if articles in the core are compared with articles in the succeeding zones. The items in the core are significantly more often assessed as relevant, than items in zone 2 (z2) or zone 3 (z3). The improvements between the zones are statistically significant based on the Wilcoxon signed-rank test and the paired T-Test

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

Webometric analysis of departments of librarianship and information science: a follow-up study

This paper reports an analysis of the websites of UK departments of library and information science. Inlink counts of these websites revealed no statistically significant correlation with the quality of the research carried out by these departments, as quantified using departmental grades in the 2001 Research Assessment Exercise and citations in Google Scholar to publications submitted for that Exercise. Reasons for this lack of correlation include: difficulties in disambiguating departmental websites from larger institutional structures; the relatively small amount of research-related material in departmental websites; and limitations in the ways that current Web search engines process linkages to URLs. It is concluded that departmental-level webometric analyses do not at present provide an appropriate technique for evaluating academic research quality, and, more generally, that standards are needed for the formatting of URLs if inlinks are to become firmly established as a tool for website analysis