2020
DOI: 10.14710/jtsiskom.8.2.2020.133-139
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Abstract: One of the strategic plans of the developing universities in obtaining new students is forming a partnership with surrounding high schools. However, partnerships made does not always behave as expected. This paper presented the segmentation technique to the previous new student admission dataset using the integration of recency, frequency, and monetary (RFM) analysis and fuzzy c-means (FCM) algorithm to evaluate the loyalty of the entire school that has bound the partnership with the institution. The dataset i… Show more

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Cited by 3 publications
(3 citation statements)
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References 24 publications
(38 reference statements)
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“…So, 28.86% tend to leave 17 Agustus University in the future. The prediction is almost near the previous study, a 29% churn customer predicted [11].…”
Section: Resultssupporting
confidence: 75%
See 1 more Smart Citation
“…So, 28.86% tend to leave 17 Agustus University in the future. The prediction is almost near the previous study, a 29% churn customer predicted [11].…”
Section: Resultssupporting
confidence: 75%
“…To identify a user who tends to leave or remain in the institution, the churn prediction can be used so the campus possibilities of losing students can be avoided [1]. In churn analysis, one model is commonly applied is the analysis of Recency, Frequency, and monetary (RFM) [10], [11]. RFM model analysis generally processes the customer's transaction data include latest transaction date (Recency), transaction amount (Frequency), and monetary amount per transaction (monetary) [10].…”
Section: Introductionmentioning
confidence: 99%
“…Klaster adalah sebuah himpunan dari objek data yang mirip satu sama lain dalam suatu klaster dan tidak mirip dengan objek-objek yang ada di luar klaster. Pemanfaatan klasterisasi sangat luas di berbagai bidang, antara lain untuk menentukan prioritas perbaikan jalan [2], pengolahan citra digital [3], segmentasi pelanggan universitas [4], dan pengelompokan wilayah berdasarkan kapasitas investasi [5].…”
Section: Pendahuluanunclassified