PENERAPAN METODE TOPSIS DALAM MENENTUKAN PEMILIHAN KARTU PRABAYAR HANDPHONE GOBAL SYSTEM FOR MOBILE (HP GSM)

Masitha Masitha, Irfan Sudahri Damanik, Agus Perdana Windarto

Abstract


Prepaid Card is a card that can only be used if there is a nominal number of pulses or data packets first. This card has an active period that varies depending on the policies and programs of each provider. Many card users are still confused about choosing a prepaid card that is good for use, so they really need information that can be used as a reference in choosing a prepaid card. In this study conducted to analyze a selection of prepaid cards using the TOPSIS (Technique For Order of Preference By Similarity To Ideal Solution) method in determining alternative choices for all prepaid card users, using several assessment criteria, namely: Cost (C1), Feature Completeness (C2), Signal (C3), Promotion / Advertising (C4), and Service Quality (C5). And also by using 6 alternatives, namely: Telkomsel (A1), Axis (A2), IM3 (A3), XL (A4), US (A5), and 3 (A6). And the results of this study were ranked first, namely: 3 (A6) as the first rank with a value of 0.5286 followed by XL (A4) with a value of 0.5238 as the second rank, and Telkomsel (A1) with a value of 0.5027. IM3 (A3) with a value of 0.4988, Axis (A2) with a value of 0.4765, then the last US (A5) with a value of 0.1905. It is hoped that this research can provide a better input to all prepaid card users.

Keywords: TOPSIS, decision support system, pematang siantar, prepaid card

Full Text:

PDF

References


T. P. Sinaga, H. Global, S. For, and M. Hp, “SISTEM PENDUKUNG KEPUTUSAN DALAM PEMILIHAN KARTU HANDPHONE GLOBAL SYSTEM FOR MOBILE ( HP GSM ) DENGAN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING ( SAW ),†no. November, pp. 90–98, 2013.

A. A. Chamid, “PRIORITAS KONDISI RUMAH,†vol. 7, no. 2, pp. 537–544, 2016.

A. P. Windarto, “Penerapan Data Mining Pada Ekspor Buah-Buahan Menurut Negara Tujuan Menggunakan K-Means Clustering,†Techno.COM, vol. 16, no. 4, pp. 348–357, 2017.

M. G. Sadewo, A. P. Windarto, and D. Hartama, “PENERAPAN DATAMINING PADA POPULASI DAGING AYAM RAS PEDAGING DI INDONESIA BERDASARKAN PROVINSI MENGGUNAKAN K-MEANS CLUSTERING,†InfoTekJar (Jurnal Nas. Inform. dan Teknol. Jaringan), vol. 2, no. 1, pp. 60–67, 2017.

A. P. Windarto, “Implementation of Data Mining on Rice Imports by Major Country of Origin Using Algorithm Using K-Means Clustering Method,†Int. J. Artif. Intell. Res., vol. 1, no. 2, pp. 26–33, 2017.

Sumijan, A. P. Windarto, A. Muhammad, and Budiharjo, “Implementation of Neural Networks in Predicting the Understanding Level of Students Subject,†Int. J. Softw. Eng. Its Appl., vol. 10, no. 10, pp. 189–204, 2016.

M. N. H. Siregar, “Neural Network Analysis With Backpropogation In Predicting Human Development Index ( HDI ) Component by Regency / City In North Sumatera,†I n t e r n a t i o n a l Jo u r n a l O f I n f o r m a t i o n S yst e m T e c h n o l ogy, vol. 1, no. 1, pp. 22–33, 2017.

Solikhun, A. P. Windarto, Handrizal, and M.Fauzan, “Jaringan Saraf Tiruan Dalam Memprediksi Sukuk Negara Ritel Berdasarkan Kelompok Profesi Dengan Backpropogation Dalam Mendorong Laju Pertumbuhan Ekonomi,†Kumpul. J. Ilmu Komput., vol. 4, no. 2, pp. 184–197, 2017.

A. P. Windarto, L. S. Dewi, and D. Hartama, “Implementation of Artificial Intelligence in Predicting the Value of Indonesian Oil and Gas Exports With BP Algorithm,†Int. J. Recent Trends Eng. Res., vol. 3, no. 10, pp. 1–12, 2017.

A. P. Windarto, “IMPLEMENTASI JST DALAM MENENTUKAN KELAYAKAN NASABAH PINJAMAN KUR PADA BANK MANDIRI MIKRO SERBELAWAN DENGAN METODE BACKPROPOGATION,†J-SAKTI (Jurnal Sains Komput. dan Inform., vol. 1, no. 1, pp. 12–23, 2017.

A. Putrama and A. P. Windarto, “Analisis dalam menentukan produk bri syariah terbaik berdasarkan dana pihak ketiga menggunakan ahp,†CESS (Journal Comput. Eng. Syst. Sci., vol. 3, no. 1, pp. 60–64, 2018.

P. P. P. A. N. W. F. I. R. H. Zer and A. P. Windarto, “Analisis Pemilihan Rekomendasi Produk Terbaik Prudential Berdasarkan Jenis Asuransi Jiwa Berjangka Untuk Kecelakaan Menggunakan Metode Analytic Hierarchy Process ( Ahp ),†CESS (Journal Comput. Eng. Syst. Sci., vol. 3, no. 1, pp. 78–82, 2018.

D. R. Sari, A. P. Windarto, D. Hartama, and S. Solikhun, “Sistem Pendukung Keputusan untuk Rekomendasi Kelulusan Sidang Skripsi Menggunakan Metode AHP-TOPSIS,†J. Teknol. dan Sist. Komput., vol. 6, no. 1, p. 1, 2018.

A. P. Windarto, “Penilaian Prestasi Kerja Karyawan PTPN III Pematangsiantar Dengan Metode Simple Additive Weighting (SAW),†J. Ris. Sist. Inf. Dan Tek. Inform., vol. 2, no. ISSN 2527-5771, pp. 84–95, 2017.

T. Imandasari and A. P. Windarto, “Sistem Pendukung Keputusan dalam Merekomendasikan Unit Terbaik di PDAM Tirta Lihou Menggunakan Metode Promethee,†J. Teknol. dan Sist. Komput., vol. 5, no. 4, p. 159, 2017.

N. Sudarsono, M. Kom, T. Nuraen, S. Kom, S. Rahmawati, and S. Kom, “SISTEM PENUNJANG KEPUTUSAN PEMBERIAN BANTUAN SISWA MISKIN DI SD NEGERI SUKAMENAK KOTA TASIKMALAYA MENGGUNAKAN METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION ( TOPSIS ),†pp. 6–7, 2016.

R. Waruwu, “Implementasi Metode Technique for Other Preference By Similarity To Ideal Solution ( Topsis ) Untuk Keputusan Pemberian Bonus Karyawan ( Studi Kasus : Pt . Ss Finance ),†pp. 85–92, 2015.

D. Puspitasari, M. Mentari, and F. A. Gunawan, “MENGGUNAKAN METODE TOPSIS ( STUDI KASUS : POLITEKNIK NEGERI MALANG ),†pp. 63–70, 2016.

A. A. Chamid, “Prioritas Kondisi Rumah,†vol. 7, no. 2, pp. 537–544, 2016.

N. Sudarsono, M. Kom, T. Nuraen, S. Kom, S. Rahmawati, and S. Kom, “Sistem Penunjang Keputusan Pemberian Bantuan Siswa Miskin Di Sd Negeri Sukamenak Kota Tasikmalaya Menggunakan Metode Technique for Order Preference By Similarity To Ideal Solution ( Topsis ),†pp. 6–7, 2016.

G. Ginting, Fadlina, Mesran, A.P.U. Siahaan, R. Rahim, Technical Approach of TOPSIS in Decision Making, Int. J. Recent Trends Eng. Res. 3 (2017) 58–64. doi:10.23883/IJRTER.2017.3388.WPYUJ.




DOI: https://doi.org/10.30865/komik.v2i1.931

Refbacks

  • There are currently no refbacks.


Copyright (c) 2018 KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)



KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer)
P3M STMIK Budi Darma
Sekretariat Jln. Sisingamangaraja No. 338 Telp 061-7875998
email: komik@univ-bd.ac.id, komik.budidarma@gmail.com

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.