APLIKASI PEMILIHAN STRATEGI PROMOSI PENERIMAAN MAHASISWABARU POLITEKNIK NEGERI TANAH LAUT MENGGUNAKAN METODE K-MEANS CLUSTERING

Authors

  • Veri Julianto Jurusan Teknik Informatika, Politeknik Negeri Tanah Laut
  • Jaka Permadi Jurusan Teknik Informatika, Politeknik Negeri Tanah Laut
  • Noviyanti Jurusan Teknik Informatika, Politeknik Negeri Tanah Laut

DOI:

https://doi.org/10.35316/jimi.v2i1.459

Keywords:

application, k-means clustering, promotion strategy

Abstract

Politeknik Negeri Tanah Laut in order to improve the new student admission, has adopted numerous type of promotion strategies. The strategies are among others high school visits, banner displays, brochure distribution, and promotions via social media. However, those strategies adopted by Politeknik Negeri Tanah Laut are admittedly costly. Application of Selecting Promotion Strategy Enrollment of New Students in the Politeknik Negeri Tanah Laut is an application used to help determine what kind of promotional strategy is likely to be more accurate and more planned as the guidance as well as the reference in order to increase the enrollment percentage of new students. The determination of such promotional media’s outcomes is supported by applying the method of K-Means Clustering to do the classification of promotional media data obtained from the result of students’ questionnaires. Obviously such thing becomes a solution to help determine the promotional strategy at Politeknik Negeri Tanah Laut.

Downloads

Download data is not yet available.

References

D. T. Kusuma dan N. Agani. "Prototipe Komparasi Model Clustering Menggunakan Metode K-Means dan FCM untuk Menentukan Strategi Promosi: Study Kasus Sekolah Tinggi Teknik - PLN Jakarta". J. TICOM, vol. 3, no. 3, pp. 1–10, 2015.

W.Agustin dan Erlin. "Implementasi Metode K-Means Cluster Analysis untuk Memilih Strategi Promosi Penerimaan Mahasiswa Baru".dalam Seminar Nasional Ilmu Komputer (SNIK 2016), 2016, pp. 9–15.

T. T. Chasanah dan Widiyono. "Penentuan Strategi Promosi Penerimaan Mahasiswa Baru dengan Algoritma Clustering K-Means".IC-Tech, vol. XII, no. 1, pp. 39–44, 2017.

T. Hastie, R. Tibshirani, dan J. Friedman. 2008."The Elements of Statistical Learning Data Mining, Inference, and Prediction Second Edition". Spriger.California.

A.S. Rosa dan M. Shalahuddin. 2016. Rekayasa Perangkat Lunak Terstruktur an Berorientasi Objek. Bandung: Informatika.

Published

22-06-2017

How to Cite

Julianto, V., Permadi, J., & Noviyanti. (2017). APLIKASI PEMILIHAN STRATEGI PROMOSI PENERIMAAN MAHASISWABARU POLITEKNIK NEGERI TANAH LAUT MENGGUNAKAN METODE K-MEANS CLUSTERING. Jurnal Ilmiah Informatika, 2(1), 99–104. https://doi.org/10.35316/jimi.v2i1.459

Similar Articles

<< < 1 2 3 4 5 

You may also start an advanced similarity search for this article.