2016
DOI: 10.1016/j.rser.2016.01.078
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Measuring the readability of Indonesian biomass websites: The ease of understanding biomass energy information on websites in the Indonesian language

Abstract: Renewable energy-related information in the Indonesian language (Bahasa Indonesia) is nowadays easily accessible on the internet and seeking information from the internet has become the second highest activity of Indonesian netizens. This paper aims to examine the readability of biomass energy-related information that is retrieved from the internet and available in the Indonesian language. By using Google s Indonesia's search results of four keywords on biomass renewable energy in the Indonesian language, educ… Show more

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Cited by 16 publications
(6 citation statements)
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“…In regard with GSEP, it may be considered to request for fulfilling questionnaire survey to all applicants of GSEP regarding how, from which channel of information the applicant know about GSEP. It may improve the way of GSEP information is spread out as pointed out by (Biddinika et al, 2016) in their study about biomass energy information on Indonesian websites. The other important source of information is family or friends since more participants obtained information on the universities from their family or friends rather than from an education seminar.…”
Section: Questionnaire Survey Resultsmentioning
confidence: 99%
“…In regard with GSEP, it may be considered to request for fulfilling questionnaire survey to all applicants of GSEP regarding how, from which channel of information the applicant know about GSEP. It may improve the way of GSEP information is spread out as pointed out by (Biddinika et al, 2016) in their study about biomass energy information on Indonesian websites. The other important source of information is family or friends since more participants obtained information on the universities from their family or friends rather than from an education seminar.…”
Section: Questionnaire Survey Resultsmentioning
confidence: 99%
“…Thus, it is to automatically calculate samples of hard-copy text by computer-average sentence length (M. Coleman and T. L. Liau, 1975). (Biddinika et al, 2016). It counted the number of polysyllabic words in three ten-sentence samples near the beginning, middle, and end of a piece of text (McLaughlin, 1969).…”
Section: Findings and Discussionmentioning
confidence: 99%
“…Various information can be measured in various ways such as Biddinika et al [7] suggests that the usefulness of information related to biomass energy, depends on the reading of a person and the standability of understanding. Therefore, Biddinika's research aims to discuss whether renewable biomass energy information on Indonesian websites is easy or not understood by using the readability measurement method.…”
Section: Methodsmentioning
confidence: 99%