Decision Support System for Selecting University in Pekanbaru Based on Android

Dewi Nasien; M. Hasmil Adiya; Ahmad  Mulyadi; Ahmad  Sukabul; Gilang  Rianda; Deni  Yulianti

doi:10.31258/ijeepse.3.2.30-34

Dewi Nasien Universitas Riau
M. Hasmil Adiya Institut Bisnis dan Teknologi Pelita Indonesia
Ahmad Mulyadi Universitas Riau
Ahmad Sukabul Universitas Riau
Gilang Rianda Universitas Riau
Deni Yulianti Universiti Teknologi Malaysia

DOI: https://doi.org/10.31258/ijeepse.3.2.30-34

Abstract viewed: 937 times

PDF downloaded: 2481 times

Keywords: Weighted Product, Decision Support System, Selection of Universities, Android

Abstract

Nowadays development of technology is growing fast, especially Android Operating System (OS). Android is a technology that can help human to improve their works both quality and quantity, e.g. making decisions. This study discusses the application of decision support systems to select university. Many students are still confused to select the best university for them. Hence, this application aims to assist students for making decisions using weighted product (WP) method. It exploits some criteria namely, distance, university accreditation and number of lecturers. The research methodology are used namely problem analysis, analysis both hardware and software requirements, design system, implementation and testing. Ultimately, application can be utilized. This application is built on Android Studio and Java Development Kit. It is implemented in Universities in Riau. This application can help students to choose the best university quickly and accurately.

References

[1] Noer, Z. M., & Ngamali, K, “Aplikasi Perpustakaan SMK Siliwangi AMS Banjarsari Berbasis Android”. Jurnal Manajemen Informatika (JUMIKA), 4(2). 41-50, 2017.

[2] Android Developers, Meet Android Studio, https://developer.android.com, [Online] Available: https://developer.android.com/studio/intro, Accessed: 20-Sep-2019.

[3] Averweg, U. R, “Historical Overview of Decision Support Systems (DSS)”, In Encyclopedia of Information Science and Technology, Second Edition (pp. 1753-1758). IGI Global, 2009.

[4] VanSchaik, F. D., & Sol, H. G, Effectiveness of decision support systems. In Twenty-Third Annual Hawaii International Conference on System Sciences (Vol. 3, pp. 50-58). IEEE, 1990.

[5] Turban, E., Liang, T. P., & Aronson, J. E, “Decision Support Systems and Intelligent Systems”, International Edition, Pearson Prentice Hall, 2005.

[6] Simon, H. A, “The new science of management decision”, 3rd revised edition, Prentice-Hall, Englewood Cliffs, New York, 1960

[7] Manik, A. R. S, “Penerapan Metode Weighted Product Dalam Sistem Pendukung Keputusan Seleksi Penerimaan Beras Untuk Masyarakat Miskin”, Jurnal Teknik Informatika Universitas Dian Nuswantoro, 1 (3), pp. 31–36, 2016.

[8] Niswatin, R. K, “Sistem Seleksi Penerimaan Mahasiswa Baru Menggunakan Metode Weighted Product (WP)”, SEMNASTEKNOMEDIA online, 4(1), 1-3, 2016.

[9] Kom, K. M, “Konsep dan Aplikasi Sistem Pendukun Keputusan”, Yogyakarta: CV Andi Offset, 2007.

[10] Oktavina, R., & Himawan, H, “Sistem Pendukung Keputusan Untuk Menentukan Pelanggan Terbaik Pada TB”, Bangun Jaya Menggunakan Metode Weighted Product (WP). 1-9, 2015.

[11] Lingke, D. Y. R., & Kurnianto, H, “Decision Support Systems Recommendations for Employees Permanent Using Weighted Product. Jurnal SIFO Mikroskil, 18(1), 21-30, 2017.

[12] Solikhun, S, “Perbandingan Metode Weighted Product dan Weighted Sum Model dalam Pemilihan Perguruan Swasta Terbaik Jurusan Komputer” Klik-Kumpulan Jurnal Ilmu Komputer, 4(1), 70-87, 2017.