DECISION SUPPORT SYSTEM TO DETERMINE THE BEST ONLINE SHOP COLLEGE STUDENTS USING THE TOPSIS METHOD

  • Marlina Marlina (1) Universitas Bina Sarana Informatika
  • Retno Sari (2*) Universitas Nusa Mandiri

  • (*) Corresponding Author
Keywords: Online Shop, TOPSIS, Decision Support System

Abstract

Internet users in Indonesia aged 16 to 64 years who access the internet on mobile phones as many as 195.3 million. In 2015 the number of online shops was 7.4 million people. Convenience and customer service today are key in improving an online shop.  The number of online shop applications available for MSME has difficulty in determining the online shop to determine the right online shop in marketing products among students. The TOPSIS method is used as a method for decision-making because it has a simple and easy-to-understand the concept. This study has five criteria, namely product completeness, interface design, service response, delivery services, and transaction processes. And has 5 alternatives namely shopee, tokopedia, bukalapak, lazada and blibli. In this study obtained from the 5 alternatives, the online shop that is most in demand by students is shopee, this can be seen from the pretension value of 0.89.

Downloads

Download data is not yet available.

References

Amida, S. N., & Kristiana, T. (2019). Sistem Pendukung Keputusan Penilaian Kinerja Pegawai Dengan Menggunakan Metode Topsis. JSAI (Journal Scientific and Applied Informatics), 2(3), 193–201. https://doi.org/10.36085/jsai.v2i3.415

Borman, R. I., Megawaty, D. A., & Attohiroh, A. (2020). Implementasi Metode TOPSIS Pada Sistem Pendukung Keputusan Pemilihan Biji Kopi Robusta Yang Bernilai Mutu Ekspor (Studi Kasus : PT. Indo Cafco Fajar Bulan Lampung). Fountain of Informatics Journal, 5(1), 14–20. https://doi.org/10.21111/fij.v5i1.3828

Chaeruddin, S., Sukarsih, I., & Respitawulan, R. (2021). Pemilihan Marketplace Di Masa Pandemi Covid-19 Menggunakan Metode MOORA. CESS (Journal of Computer Engineering, System and Science), 6(2), 149. https://doi.org/10.24114/cess.v6i2.22511

Dzulhaq, M. I., Sidik, A., & Ulhaq, D. A. (2019). Sistem Pendukung Keputusan Untuk Membandingkan Marketplace Terbaik Dengan Menggunakan Metode AHP Dan AHP. Academic Journal of Computer Science Research, 1(1), 13–22. Retrieved from https://journal.global.ac.id/index.php/AJCSR/article/view/233/243

Fistiana, F. A., Evanita, E., & Riadi, A. A. (2021). Sistem Pendukung Keputusan Pemilihan Tanaman Hias Hoya Carnosa Berbasis Android Menggunakan Metode TOPSIS. Jurasik (Jurnal Riset Sistem Informasi Dan Teknik Informatika), 6(3), 305–311. Retrieved from http://tunasbangsa.ac.id/ejurnal/index.php/jurasik/article/view/352

Handayani, R. I., & Wironoto, D. (2021). TOPSIS method application in choosing the Most-Sale POS cashier machines and tools. Sinkron: Jurnal Dan Penelitian Teknik Informatika, 6(1), 1–12. https://doi.org/https://doi.org/10.33395/sinkron.v6i1.10898

Harahap, D. A., & Amanah, D. (2018). Perilaku Belanja Online Di Indonesia: Studi Kasus. JRMSI - Jurnal Riset Manajemen Sains Indonesia, 9(2), 193–213. https://doi.org/10.21009/jrmsi.009.2.02

Hertyana, H. (2018). Sistem Pendukung Keputusan Penentuan Karyawan Terbaik Menggunakan Metode Saw Studi Kasus AMIK Mahaputra Riau. Jurnal Intra-Tech, 2(1), 73–82. Retrieved from https://journal.amikmahaputra.ac.id/index.php/JIT/article/view/27

Idah, Y. M., & Pinilih, M. (2020). Strategi Pengembangan Digitalisasi UMKM. Pengembangan Sumber Daya Perdesaan Dan Kearifan Lokal Berkelanjutan, (9), 195–204. Purwokerto: LPPM Universitas Jenderal Soedirman. Retrieved from http://jurnal.lppm.unsoed.ac.id/ojs/index.php/Prosiding/article/view/1212

Juwita, F. I. (2020). Penggunaan internet dan Medias Sosial untu Pelayanan Informasi obat di beberapa Apotek dan Puskesmas di Daerah Istimewa Yogyakarta (Univarsitas Sanata Dharma). Univarsitas Sanata Dharma. Retrieved from https://repository.usd.ac.id/38820/2/178122006_full.pdf

Kompas.com. (2021). Jumlah Pengguna Internet Indonesia 2021 Tembus 202 Juta. Https://Tekno.Kompas.Com/Read/2021/02/23/16100057/Jumlah-Pengguna-Internet-Indonesia-2021-Tembus-202-Juta.

Kristina, T. (2018). Sistem Pendukung Keputusan Dengan Menggunakan Metode TOPSIS Untuk Pemilihan Lokasi Pendirian Grosir Pulsa. Paradigma, 20(1), 8–12. Retrieved from https://ejournal.bsi.ac.id/ejurnal/index.php/paradigma/article/view/2908

Marlina, M., & Sari, R. (2022). Laporan Akhir Penelitian Mandiri: Sistem Pendukung Keputusan Untuk Menentukan Online Shop Terbaik Di Kalangan Mahasiswa Menggunakan Metode TOPSIS. Jakarta.

Mubarok, A., Suherman, H. D., Ramdhani, Y., & Topiq, S. (2019). Sistem Pendukung Keputusan Kelayakan Pemberian Kredit Dengan Metode TOPSIS. Jurnal Informatika, 6(1), 37–46. https://doi.org/10.31311/ji.v6i1.4739

P. A. W. Santiary, P. I. Ciptayani, N. G. A. P. H. Saptarini, and I. K. S. (2018). Sistem Pendukung Keputusan Penentuan Lokasi Wisata dengan Metode Topsis. Jurnal Teknologi Informasi Dan Ilmu Komputer, 5(5), 621–628. https://doi.org/10.25126/jtiik2018551120

Santosa, T., & Budi, Y. R. (2020). Analisa Perkembangan Umkm Di Indonesia Pada Tahun 2017-2019. Develop: Jurnal Ekonomi Pembangunan, 1(2), 57–64. Retrieved from http://jurnal.ibm.ac.id/index.php/develop/article/view/62

Suci, Y. R. (2017). Perkembangan UMKM (Usaha Mikro Kecil dan Menengah) di Indonesia. Jurnal Ilmiah Cano Ekonomos, 6(1), 51–58. Retrieved from https://journal.upp.ac.id/index.php/cano/article/view/627

Ukkas, I. (2017). Strategi dan Upaya Pengembangan Usaha Mikro Kecil Menengah (UMKM). Berkemajuan : Jurnal Pengabdian Pada Masyarakat, 1(1), 24–27. Retrieved from https://journal.unismuh.ac.id/index.php/jp/article/view/591/

Wibisono, G., Amrulloh, A., & Ujianto, E. (2019). Penerapan Metode Topsis Dalam Penentuan Dosen Terbaik. ILKOM Jurnal Ilmiah, 11(2), 102–109. https://doi.org/10.33096/ilkom.v11i2.430.102-109

Published
2022-03-10
How to Cite
Marlina, M., & Sari, R. (2022). DECISION SUPPORT SYSTEM TO DETERMINE THE BEST ONLINE SHOP COLLEGE STUDENTS USING THE TOPSIS METHOD. Jurnal Pilar Nusa Mandiri, 18(1), 75-80. https://doi.org/10.33480/pilar.v18i1.2940
Article Metrics

Abstract viewed = 136 times
PDF downloaded = 83 times