Evaluasi Kualitas Jawaban pada Platform Brainly Berdasarkan Kerangka Information Quality.pdf

The advancement of digital technology has encouraged the widespread use of community-based Q&amp;A platforms such as Brainly as alternative sources of information in education. While these platforms provide accessible and collaborative learning support, they also face serious challenges related to the <b>quality and reliability of user-generated answers</b>. A primary concern is the <b>lack of academic validation and the low credibility of information</b>, which can lead to misunderstanding and the spread of misleading content among students.Previous studies have largely overlooked a structured evaluation of answer quality in such platforms, particularly using comprehensive theoretical frameworks. This study addresses that gap by applying the <b>Information Quality (IQ)</b> framework, which consists of five dimensions: <b>accuracy</b>, <b>relevance</b>, <b>completeness</b>, <b>credibility</b>, and <b>understandability</b>.Quantitative analysis from 30 student respondents in West Java revealed that <i>understandability</i> and <i>accuracy</i> scored the highest, indicating that most answers are easy to comprehend and generally correct. However, <i>credibility</i> and <i>completeness</i> received lower scores, highlighting a lack of reliable references and comprehensive explanations in the provided answers.To address these issues, the study recommends the implementation of <b>Artificial Intelligence (AI)</b> technologies, including <b>educational chatbots</b>, <b>auto-detection of unanswered questions</b>, <b>conflicting answer clarification systems</b>, and <b>instant response access via premium or rewarded models</b>. These innovations aim to enhance both the <b>validity and educational value</b> of content on Brainly, contributing to a more reliable, adaptive, and effective digital learning environment.