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Using a sample spanning 27 Indonesian regions, the analysis forms three clusters. Cluster 1 contains the largest group with members including East Jakarta, East Kalimantan, Gowa, Maros, Takalar, Bantaeng, Manggarai, West Manggarai, East Flores, and West Sumba. Cluster 2 groups moderate numbers, while Cluster 3 contains the fewest prospective students.",{"@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/cluster-analysis-of-new-students-at-stkip-pembangunan-indonesia-during-the-covid-19-pandemic-based-on-regional-origin-abstract-and-keywords/232510/",{"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/cluster-analysis-of-new-students-at-stkip-pembangunan-indonesia-during-the-covid-19-pandemic-based-on-regional-origin-abstract-and-keywords/232510.png","ImageObject",300,407,{"name":92,"@type":93},"Mia  ","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-10","2026-09-10",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",17,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What variables are used to cluster prospective new students at STKIP Pembangunan Indonesia?","Question",{"text":113,"@type":114},"The clustering considers the student’s name, adopted religion, chosen study program, and sources of information on new student admissions.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How many regions and clusters are used in the study?",{"text":118,"@type":114},"The method uses a sample of 27 regions in Indonesia and produces 3 clusters.",{"name":120,"@type":111,"acceptedAnswer":121},"What is the main purpose of performing cluster analysis for admissions?",{"text":122,"@type":114},"Cluster results help map regions that show greater interest in enrolling, identify preferred information sources, and support campus promotion and optimization by cluster.","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},232510,1789072078,{"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":34,"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":144,"preview_page_count":4},687207024478,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","*Corresponding author: Sutamrin, Pendidikan Matematika, FMIPA, Universitas Negeri Makassar, Makassar, Indonesia  \n[E-mail:](E-mail: tamrin.mm@unm.ac.id)[ ](E-mail: tamrin.mm@unm.ac.id)[tamrin.mm@unm.ac.id](E-mail: tamrin.mm@unm.ac.id)  \nCluster Analysis of New Students at STKIP Pembangunan Indonesia during the COVID-19 Pandemic Based on Regional Origin  \nKhadijah1, Isma Muthahharah 2, & Sutamrin3*  \n1 Pendidikan Matematika, FKIP, Universitas Patompo, Makassar, Indonesia 2Statistika, FST, Universitas Patompo, Makassar, Indonesia  \n3 Pendidikan Matematika, FMIPA, Universitas Negeri Makassar, Makassar, Indonesia  \nAbstract: This study aims to determine the distribution of origins of prospective new STKIP Pembangunan Indonesia students during the COVID-19 pandemic based on the student's name, religion adopted, chosen study program, and sources of information on new student admissions. The method used is clustering with a total sample of 27 regions in Indonesia. In this study, 3 clusters were formed, namely cluster 1 which had the most students with members namely East Jakarta, East Kalimantan, Gowa, Maros, Takalar, Bantaeng, Manggarai, West Manggarai, East Flores, West Sumba. Cluster 2 has not too many (moderate) prospective students with members namely Makassar, Barru, SInjai, Bulukumba, Soppeng, Enrekang, Jeneponto, Selayar, Polewali Mandar, East Maggarai. Cluster 3 has the fewest prospective students with members namely Makassar, Barru, Sinjai, Bulukumba, Soppeng, Enrekang, Jeneponto, Selayar, Polewali Mandar, East Maggarai.  \nKeywords: The candidate of New student , Clustering, Regional Origin.  \n1. Pendahuluan  \nRespon terhadap pandemi COVID-19 telah secara dramatis mengubah industri, perawatan kesehatan, mobilitas, dan bidang Pendidikan (Barbour et al., 2021) . Selama masa pandemi COVID-19, beberapa lulusan SMA memilih untuk tidak melanjutkan studi di Perguruan Tinggi. Keputusan tersebut mereka ambil dengan alasan kesulitan ekonomi sebagai efek lockdown dan pengaturan pembatasan; kesulitan dalam pembelajaran jarak jauh ataupembelajaran online, karena institusi pendidikan tinggi beralih ke pembelajaran online dankesulitan akses transportasi, yang menyebabkan terbatasnya akses ke sumber daya pendidikan dan perkembangan anak (Suarez-Lopez et al., 2021) . Keterbatasan akses dan transportasi dilakukan pemerintah dan organisasi kesehatan dunia sebagai upaya sistemik untuk melindungi pelajar dan memerangi isolasi yang meluas dalam pandemi (Ellison et al., 2021) . Terjadi peningkatan stress remaja pada masa pandemi COVID-19. Hal ini juga yang menyebabkan beberapa remaja yang memilih untuk tidak melanjutkan Pendidikan. Olehkarena itu, terjadi penurunan jumlah mahasiswa yang mendaftar di Perguruan Tinggi. Namun masih terdapat beberapa pelajar yang memiliki ketahanan diri dan kemampuan adaptasi terhadap kondisi buruk pandemi. Mereka memiliki ketahanan diri dan mampu untuk mulai fokus pada pengembangan diri mereka (Enrique et al., 2019) . Mereka yang memiliki keinginan untuk mengembangkan diri harus segera dirangkul dengan baik oleh pendidik dan mereka yang mengalami stress harus segera dibangkitkan semangatnyakembali. Adanya dukungan dari pihak tertentu walaupun bersifat online dapat mengurangi  \ngejala depresi di kalangan mahasiswa. Hal ini dapat disentuh oleh pendidikan dengan caramelanjutkan studi.  \nPerkuliahan atau melanjutkan studi di Perguruan Tinggi tidak hanya dapat dilakukan di Perguruan Tinggi Negeri (PTN) saja tetapi juga dapat dilakukan di Perguruan Tinggi Swasta (PTS) . Salah satu PTS yang berada di Wilayah Indonesia Tengah yaitu STKIP Pembangunan Indonesia. PTS ini sudah berdiri selama lebih dari 20 tahun dan mencetak banyak lulusan-lulusan yang terserap di dunia kerja. Ada yang menjadi guru, kepala sekolah, pegawai di dinas Pendidikan, dosen, peneliti dan masih banyak lagi. STKIP Pembangunan Indonesia mengelola 4 program studi, 3 program sarjana dan 1 program magister. Program Sarjana yang dikelola terdiri dari Program ","cbCaifXAJW5uxT2O","https://ap.wps.com/l/cbCaifXAJW5uxT2O","pdf",837827,"English","# Abstract\n# Keywords\n# 1. Pendahuluan","[{\"question\":\"What variables are used to cluster prospective new students at STKIP Pembangunan Indonesia?\",\"answer\":\"The clustering considers the student’s name, adopted religion, chosen study program, and sources of information on new student admissions.\"},{\"question\":\"How many regions and clusters are used in the study?\",\"answer\":\"The method uses a sample of 27 regions in Indonesia and produces 3 clusters.\"},{\"question\":\"What is the main purpose of performing cluster analysis for admissions?\",\"answer\":\"Cluster results help map regions that show greater interest in enrolling, identify preferred information sources, and support campus promotion and optimization by cluster.\"}]","Cluster Analysis of New Students at STKIP Pembangunan Indonesia during the COVID-19 Pandemic Based on Regional Origin - Abstract and Keywords | PDF",18]