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This research develops an interactive, data-driven system to analyze UKBI participant language proficiency profiles in Jambi from 2021 to 2024. Using Visual Data Mining with K-Means clustering and Silhouette Score optimization, results reveal three distinct proficiency clusters and significant geographical disparities supporting targeted interventions.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/application-of-visual-data-mining-for-visualization-of-ukbi-achievement-data-brilliance-research-of-artificial-intelligence-volume-5-number-2/202285/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/application-of-visual-data-mining-for-visualization-of-ukbi-achievement-data-brilliance-research-of-artificial-intelligence-volume-5-number-2/202285.png","ImageObject",300,407,{"name":92,"@type":93},"Grenda","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-19","2026-09-04",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",12,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"Why are the current UKBI Adaptif visualization results considered insufficient in Jambi Province?","Question",{"text":113,"@type":114},"They mainly rely on static bar charts and pie charts, which reduces transparency, complicates deeper analysis, and makes it harder to identify trends in regional proficiency changes.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What is the main objective of this research?",{"text":118,"@type":114},"To develop an interactive, data-driven visualization system for UKBI Adaptif achievements in Jambi using Visual Data Mining, enabling clearer pattern discovery and supporting evidence-based policy decisions.",{"name":120,"@type":111,"acceptedAnswer":121},"How does the study cluster UKBI participant data?",{"text":122,"@type":114},"It applies Visual Data Mining with the K-Means clustering algorithm, using the Silhouette Score to determine the optimal number of clusters.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},202285,1788544070,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":105,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":41,"preview_page_count":4},7971474921005,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","E-ISSN : 2807-9035  \nVolume 5, Number 2, November 2025 [https://doi.org/10.47709/brilliance.v5i2.7409](https://doi.org/10.47709/brilliance.v5i2.7409)  \n\n| Application of Visual Data Mining for Visualization of UKBI Achievement Data\u003Cbr>Ketri Genes Yolanda1, Pradita Eko Prasetyo Utomo2*, Zainil Abidin3\u003Cbr>1,2,3Jambi University, Indonesia\u003Cbr>[1](1ketrigenesyolanda@gmail.com)[ketrigenesyolanda@gmail.com](1ketrigenesyolanda@gmail.com), [2](2pradita.eko@unja.ac.id)[pradita.eko@unja.ac.id](2pradita.eko@unja.ac.id), [3](3zainil.401@gmail.com)[zainil.401@gmail.com](3zainil.401@gmail.com) |\n| --- |\n| ABSTRACT\u003Cbr>The current visualization of Adaptive Indonesian Language Proficiency Test\u003Cbr> *Corresponding Author  (UKBI Adaptif) results in Jambi Province is suboptimal, often relying on static,\u003Cbr>Article History: basic charts, which hinders transparency and the effective formulation of\u003Cbr>Submitted: 04-12-2025 evidence-based language policies. This research aims to address this critical gap\u003Cbr>Accepted: 07-12-2025 by developing an interactive, data-driven system to analyze the language\u003Cbr> Published: 22-12-2025  proficiency profile of UKBI participants in Jambi from 2021 to 2024. The Keywords: research objective is to accurately map regional competence, identify hidden\u003Cbr>Visual Data Mining; UKBI patterns, and provide actionable intelligence to the Jambi Language Center. The\u003Cbr>Adaptif; Data Visualization; Data study adopts the Visual Data Mining (VDM) methodology, integrating  Mining; Clustering; K-Means  interactive visualization with the K-Means clustering algorithm. This method Brilliance: Research of allowed for the normalization and grouping of over 10,000 participant data\u003Cbr>Artificial Intelligence is licensed points, with the optimal number of clusters determined by the Silhouette Score. under a Creative Commons The research results successfully established three distinct proficiency clusters,\u003Cbr>Attribution-NonCommercial 4.0 including a \"Listening Struggler Group\" dominated by non-education International (CC BY-NC 4 .0) . professions, exhibiting significantly low scores in the Listening section.\u003Cbr>Furthermore, geographical analysis revealed a disparity where Jambi City—the region with the highest participation—maintained an average proficiency at the lower boundary of the Intermediate category, while smaller regions like Muaro Jambi showed higher rates of Superior and Exceptional achievement. The conclusion is that the VDM-based interactive dashboard is a validated and effective tool that successfully provides micro-level insights, supporting the strategic allocation of resources and the design of targeted intervention programs to address specific skill weaknesses, such as listening comprehension.\u003Cbr>|\n\nINTRODUCTION  \nThe Urgency of the Indonesian Language and Proficiency Standardization The Indonesian language plays a vital role in the national social, economic, and cultural order, functioning as the primary tool of communication as well as a unifying bridge for ethnic diversity, and serving as a supporting pillar for the advancement of science and the digital economy (Badan Pengembangan dan Pembinaan Bahasa, 2021) . Varying levels of individual language proficiency necessitate the existence of a standardized measurement instrument (Tantri, 2018), similar to international tests such as TOEFL, HSK, or JLPT (Nafri Yanti, 2018) . In Indonesia, this need is met by the Adaptive Indonesian Language Proficiency Test (Uji Kemahiran Berbahsa Indonesia-UKBI Adaptif), a program developed by the Language Development and Fostering Agency to standardize Indonesian language proficiency levels (UKBI kemdikbud, 2020) . The implementation and management of UKBI at the regional level, including Jambi Province, fall under the responsibility of Balai Bahasa of Jambi Province (BBPJ) (Balai Bahasa Provinsi Jambi, 2024) .  \nIdentification of Data Visualization Problems and the Need for Solutions Although UKBI is a valid measurement instrument, there a","cbCaiopSngUzUbT1","https://ap.wps.com/l/cbCaiopSngUzUbT1","pdf",1049224,"English","# ABSTRACT\n## Proposed Visual Data Mining Approach\n# INTRODUCTION\n## Urgency of Indonesian Language Standardization\n## Data Visualization Problems and Need for Solutions\n## Research Objectives and Methodological Solution\n# LITERATURE REVIEW","[{\"question\":\"Why are the current UKBI Adaptif visualization results considered insufficient in Jambi Province?\",\"answer\":\"They mainly rely on static bar charts and pie charts, which reduces transparency, complicates deeper analysis, and makes it harder to identify trends in regional proficiency changes.\"},{\"question\":\"What is the main objective of this research?\",\"answer\":\"To develop an interactive, data-driven visualization system for UKBI Adaptif achievements in Jambi using Visual Data Mining, enabling clearer pattern discovery and supporting evidence-based policy decisions.\"},{\"question\":\"How does the study cluster UKBI participant data?\",\"answer\":\"It applies Visual Data Mining with the K-Means clustering algorithm, using the Silhouette Score to determine the optimal number of clusters.\"}]","Application of Visual Data Mining for Visualization of UKBI Achievement Data - Brilliance: Research of Artificial Intelligence - Volume 5 - Number 2 | PDF"]