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Penelitian ini berangkat dari temuan bahwa organisasi mengalami kesulitan memenuhi dimensi kualitas data yang dibutuhkan, terutama karena minimnya kegiatan manajemen kualitas data sehingga pemantauan kualitas tidak berjalan baik. Penelitian bertujuan mendefinisikan kebutuhan kualitas data serta menetapkan aturan kualitas data untuk bidang pendidikan, penelitian, dan pengabdian masyarakat.",{"@graph":63,"@context":120},[64,81,103],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,72,75,78],{"item":68,"name":69,"@type":70,"position":71},"https://docshare.wps.com","Home","ListItem",1,{"item":73,"name":9,"@type":70,"position":74},"https://docshare.wps.com/id/document/",2,{"item":76,"name":31,"@type":70,"position":77},"https://docshare.wps.com/id/document/penelitian-laporan/",3,{"item":79,"name":59,"@type":70,"position":80},"https://docshare.wps.com/id/document/analysis-of-data-quality-requirements-and-business-rules-education-data/229785/",4,{"url":79,"name":59,"@type":82,"image":83,"author":88,"headline":59,"publisher":91,"fileFormat":94,"inLanguage":57,"description":61,"dateModified":95,"datePublished":96,"encodingFormat":94,"isAccessibleForFree":97,"interactionStatistic":98},"DigitalDocument",{"url":84,"@type":85,"width":86,"height":87},"https://docshare.wps.com/thumbnails/analysis-of-data-quality-requirements-and-business-rules-education-data/229785.png","ImageObject",300,407,{"name":89,"@type":90},"\tJames","Person",{"url":68,"name":92,"@type":93},"DocShare","Organization","application/pdf","2026-10-07","2026-09-10",true,{"@type":99,"interactionType":100,"userInteractionCount":102},"InteractionCounter",{"@type":101},"ViewAction",5,{"@type":104,"mainEntity":105},"FAQPage",[106,112,116],{"name":107,"@type":108,"acceptedAnswer":109},"Apa tujuan utama penelitian ini?","Question",{"text":110,"@type":111},"Penelitian ini bertujuan mendefinisikan kebutuhan kualitas data dan mendefinisikan aturan kualitas data organisasi pada bidang pendidikan, penelitian, serta pengabdian masyarakat.","Answer",{"name":113,"@type":108,"acceptedAnswer":114},"Metode pengumpulan data apa yang digunakan?",{"text":115,"@type":111},"Metode yang digunakan adalah studi dokumen, observasi, dan wawancara.",{"name":117,"@type":108,"acceptedAnswer":118},"Hasil analisis apa saja yang berhasil diidentifikasi?",{"text":119,"@type":111},"Analisis mengidentifikasi 15 proses bisnis, 12 aktor proses bisnis, dan 31 entitas data, serta menghasilkan 243 aturan kualitas data.","https://schema.org",{"og:url":79,"og:type":122,"og:title":59,"og:site_name":92,"og:description":61},"article",{"robots":124,"canonical":79},"index,follow",{"doc_id":126,"site_id":56},229785,1789043663,{"code":4,"msg":5,"data":129},{"doc_id":126,"user_id":130,"nickname":89,"user_avatar":131,"doc_module":4,"category_id":30,"category_name":31,"doc_title":59,"doc_description":61,"doc_content":132,"file_id":133,"file_url":134,"file_type":135,"file_size":136,"view_count":102,"is_deleted":4,"is_public":71,"is_downloadable":71,"audit_status":71,"page_count":137,"language":138,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":139,"faqs":140,"seo_title":141,"seo_description":61,"update_tm":127,"read_time":142},2336474466412,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Analisis Kebutuhan Kualitas Data danAturan Bisnis  \nData Pendidikan  \nAnton Rahmansyah Sumadi, Nori Wilantika*  \nProgram Studi Komputasi Statistik, Politeknik Statistika STIS Jalan Otto Iskandardinata No. C64, Jakarta Timur, DKI Jakarta, Indonesia  \n*[e-mail:](e-mail: wilantika@stis.ac.id)[ ](e-mail: wilantika@stis.ac.id)[wilantika@stis.ac.id](e-mail: wilantika@stis.ac.id)  \n(received: 11 April 2021, revised: 11 September 2021, accepted: 22 September 2021)  \nAbstrak  \nPoliteknik Statistika STIS sebagai organisasi pendidikan tinggi harus memenuhi kebutuhan data penyelengaraan pendidikan yang diperlukan Pangkalan Data Pendidikan Tinggi (PDDikti) secaraberkala. Penelitian sebelumnya menemukan bahwa Politeknik Statistika STIS memiliki masalah untuk memenuhi dimensi kualitas data yang dibutuhkan oleh PDDikti. Salah satu akar masalah yang menyebabkan kualitas data yang rendah pada organisasi Politeknik Statistika STIS adalah kurangnya kegiatan manajemen kualitas data dalam organisasi sehingga kualitas data tidak termonitor denganbaik. Penelitian ini bertujuan untuk melakukan kegiatan manajemen kualitas data yaitu mendefinisikan kebutuhan kualitas data dan mendefinisikan aturan kualitas data organisasi dalambidang pendidikan, penelitian, dan pengabdian masyarakat. Metode pengumpulan data dalampenelitian ini terdiri dari studi dokumen, observasi, dan wawancara. Tahapan-tahapan analisis penelitian ini berhasil mengidentifikasi 15 proses bisnis, 12 aktor proses bisnis, dan 31 entitas data. Kebutuhan kualitas data Politeknik Statistika STIS berdasarkan penelitian ini adalah kelengkapan, akurasi, kebenaran, konsistensi, ketepatan waktu, kewajaran, keterkinian, dan keterlacakan. Dimensikebutuhan kualitas data yang paling banyak ditemukan adalah kelengkapan dan akurasi. Penelitian ini berhasil mengidentifikasi 243 aturan kualitas data dan berhasil menyusun matriks penilaian kualitas data sebagai salah satu acuan yang diajukan untuk mengevaluasi kualitas data organisasi Politeknik Statistika STIS yang berhubungan dengan penyelenggaraan pendidikan akademik, penelitian, dan pengabdian masyarakat.  \nKata kunci: kualitas data, kebutuhan kualitas data, aturan kualitas data  \nAbstract  \nPolytechnic of Statistics STIS as a higher education organization should periodically fulfill the requirement of education data provided by Pangkalan Data Pendidikan Tinggi (PDDikti). Previous research found that Polytechnic of Statistics STIS has problem to fulfill the data quality dimension required by PDDikti. One of the root cause of insufficient data quality on Polytechnic of Statistics STIS’s organization is the lack of data quality management activity on the organization, thus resulting in lack of data quality monitoring. This research’s objective is to conduct data quality management activities consisting of to define data quality requirement and to define data quality rules in scope of education, research, and community service. Data collection methods used in this research were document studies, observations, and interviews. Research’s data analysis managed to identify 15 business processes, 12 process business actors, and 31 data entities. The data quality requirements of Polytechnic of Statistics STIS according of this research are completeness, accuracy, validity, consistency, timeliness, reasonableness, currency, and lineage. The most discovered dimensions of data quality requirement are completeness and accuracy. This research managed to identify 243 data quality rules and managed to formulate data quality assessment metrics as a proposed reference to evaluate data quality on Polytechnic ofStatistics STIS’s organization relating to academic education, research, and community service.  \nKeywords: data quality, data quality requirement, data quality rules  \n1 Pendahuluan  \nPoliteknik Statistika STIS adalah perguruan tinggi kedinasan yang berada di lingkungan Badan Pusat Statistik (BPS) . Berdasarkan Pasal 2 Peraturan Kepala Badan Pusat Statistik Nomor ","cbCaimhG5julve9D","https://ap.wps.com/l/cbCaimhG5julve9D","pdf",689333,15,"Indonesian","# Pendahuluan\n## Latar belakang kebutuhan kualitas data pendidikan tinggi\n## Dasar regulasi dan dimensi kualitas data\n## Permasalahan pemenuhan dimensi kualitas data","[{\"question\":\"Apa tujuan utama penelitian ini?\",\"answer\":\"Penelitian ini bertujuan mendefinisikan kebutuhan kualitas data dan mendefinisikan aturan kualitas data organisasi pada bidang pendidikan, penelitian, serta pengabdian masyarakat.\"},{\"question\":\"Metode pengumpulan data apa yang digunakan?\",\"answer\":\"Metode yang digunakan adalah studi dokumen, observasi, dan wawancara.\"},{\"question\":\"Hasil analisis apa saja yang berhasil diidentifikasi?\",\"answer\":\"Analisis mengidentifikasi 15 proses bisnis, 12 aktor proses bisnis, dan 31 entitas data, serta menghasilkan 243 aturan kualitas data.\"}]","Analisis Kebutuhan Kualitas Data dan Aturan Bisnis - Data Pendidikan | PDF",23]