Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai)

Ronauli Silaban ; Achmad Fauzi ; Lina Arliana Nur Kadim
Merkurius : Jurnal Riset Sistem Informasi dan Tekn... 📅 2024 Vol 2, No 5 🔗 DOI: 10.61132/merkurius.v2i5.322
Abstract
The process of accepting new students generates a lot of data in the form of profiles of students who register. From year to year there is an increase in the number of prospective new students who come from several areas in Binjai City, Langkat Regency and surrounding areas, so the location of the socialization of new student admissions promotions every year is increasing and wider. And from several schools that have been visited and are expected to provide new prospective students, in fact, it is not proportional to the final number of prospective students who register. In this study, applying the K-Means Clustering algorithm using 3 variables namely, region, school origin, major. In determining the location of new student admissions promotions, the promotion team first identifies what factors will influence the determination of promotional locations ranging from region, school origin and majors that are considered to be set as promotional locations. Based on the results of grouping new student admission data of STMIK Kaputama Binjai using the K-means Clustering method from 20 data that has been processed, 3 clusters and 3 iterations are produced where cluster 1 has 9 data, cluster 2 has 2 data and cluster 3 has 9 data.
Keywords
Data Mining; Clustering; K-means Algorithm; Promotion
How to Cite

Ronauli Silaban, et al. (2024). Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai) . Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, 2(5). https://doi.org/10.61132/merkurius.v2i5.322

Ronauli Silaban; Achmad Fauzi; Lina Arliana Nur Kadim, "Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai) ," Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, vol. 2, no. 5, 2024.

Ronauli Silaban; Achmad Fauzi; Lina Arliana Nur Kadim. "Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai) ." Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, vol. 2, no. 5, 2024.

Ronauli Silaban; Achmad Fauzi; Lina Arliana Nur Kadim. "Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai) ." Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika 2, no. 5 (2024).

Ronauli Silaban, et al. (2024) 'Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai) ', Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika, 2(5). doi: 10.61132/merkurius.v2i5.322.

Ronauli Silaban; Achmad Fauzi; Lina Arliana Nur Kadim. Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai) . Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika. 2024;2(5).

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