Diterbitkan Oleh:
Lembaga Penelitian Pengabdian Masyarakat Universitas Nusa Mandiri
Ciptaan disebarluaskan di bawah Lisensi Creative Commons Atribusi-NonKomersial 4.0 Internasional.
DECISION SUPPORT SYSTEM SELECTION OF THE BEST ANDROID SMARTPHONE USING THE METHOD OF MOORA
Abstract
In the current conditions of each person must have a smartphone due to a lot of activities are done online. These activities can be in the form of learning, purchasing, transportation, and so forth. Smartphones offered currently have various specifications, sometimes prospective buyers feel confused to choose a smartphone as what they need. To overcome the problems in the decision of the selection of the best android smartphone that is with the decision support system using the method of Multi-Objective Optimization based on Ratio Analysis (MOORA). In this study, the data collected based on the 100 questionnaires that were distributed. The criteria used, namely random access memory (RAM), camera, price, storage capacity, battery life, and screen size. The results of the calculation obtained in this study determine each brand and type of smartphone the best android. Expected in this study can help prospective buyers who are confused in choosing the best android smartphone
Downloads
References
Al Hakim, I. T., Tuslaela, & Ernawati, S. (2020). Laporan Akhir Peneltian Mandiri: Sistem Penunjang Keputusan Pemilihan Smartphone Android Terbaik Menggunakan Metode Moora. Jakarta.
Binjori, A. S. R. A., Hutapea, H. R. B., Syahrizal, M., & Kurniasih, N. (2018). Sistem Pendukung Keputusan Penentuan Handphone Bekas Terbaik Menggunakan Metode Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA). Jurnal Riset Komputer (JURIKOM), 5(1), 61–65. Retrieved from https://ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/view/573
Harsiti, H., & Aprianti, H. (2017). Sistem Pendukung Keputusan Pemilihan Smartphone dengan Menerapkan Metode Simple Additive Weighting (SAW). JSiI (Jurnal Sistem Informasi), 4, 19–24. https://doi.org/10.30656/jsii.v4i0.372
Hidayatulloh, I., & Naf’an, M. Z. (2018). Integrasi Sentiment Analysis SentiWordNet pada Metode MOORA untuk Rekomendasi Pemilihan Smartphone. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi (JNTETI), 7(1). https://doi.org/10.22146/jnteti.v7i1.396
Indriani, U. (2018). PENERAPAN METODE ROUGH SET DALAM MENENTUKAN PEMBELIAN SMARTPHONE ANDROID OLEH KONSUMEN. JTIK (JURNAL TEKNIK INFORMATIKA KAPUTAMA), 2(1), 85–92. Retrieved from https://jurnal.kaputama.ac.id/index.php/JTIK/article/view/98
Khairina, D. M., Ivando, D., & Maharani, S. (2016). Implementasi Metode Weighted Product Untuk Aplikasi Pemilihan Smartphone Android. JURNAL INFOTEL - Informatika Telekomunikasi Elektronika, 8(1), 1–8. https://doi.org/10.20895/infotel.v8i1.47
Latif, Y. R., & Susilo, J. (2018). PENGEMBANGAN APLIKASI PEMILIHAN SMARTPHONE ANDROID MENGGUNAKAN METODE WEIGHTED PRODUCT BERBASIS ANDROID. Jurnal Informatika Dan Bisnis, 7(2), 59–65. Retrieved from https://jurnal.kwikkiangie.ac.id/index.php/JIB/article/view/538
Muharsyah, A., Hayati, S. R., Setiawan, M. I., Nurdiyanto, H., & Yuhandri. (2018). Sistem Pendukung Keputusan Penerimaan Jurnalis Menerapkan MultiObjective Optimization On The Basis Of Ratio Analysis (MOORA). Jurnal Riset Komputer (JURIKOM), 5(1), 19–23. https://doi.org/10.30645/j-sakti.v2i2.79
Putra, G. M., & Irawati, N. (2018). Analisis Pemilihan Handphone Rekomendasi Dengan Metode Weighted Product. Seminar Nasional Royal (SENAR) 2018, 1(1), 199–204. Medan: STMIK ROYAL. Retrieved from https://jurnal.stmikroyal.ac.id/index.php/senar/article/view/168
Sandika, I. G., Permanasari, A. E., & Sumaryono, S. (2014). Penentuan Karakteristik Pengguna Sebagai Pendukung Keputusan Dalam Memilih Smartphone Menggunakan Forward Chaining. Prosiding SNATIF Ke-1 Tahun 2014, 1, 301–308. Retrieved from https://jurnal.umk.ac.id/index.php/SNA/article/view/159
Sianturi, R. D., Pratama, A. N., Sulistiono, J., & Fachrizal, R. (2018). Penerapan Multi-Objective on The Basis of Ratio Analysis Pada Pemilihan Smartphone Gaming. Seminar Nasional Sains Dan Teknologi Informasi (SENSASI) 2018, 331–337. Kota Medan: STMIK Budi Darma. Retrieved from http://seminar-id.com/prosiding/index.php/sensasi/article/view/49
Ulandari, N. W. A. (2020). Implementasi Metode MOORA pada Proses Seleksi Beasiswa Bidikmisi di Institut Teknologi dan Bisnis STIKOM Bali. Jurnal Eksplora Informatika, 10(1), 53–58. https://doi.org/10.30864/eksplora.v10i1.379
Umar, H. (2003). Metode Riset Bisnis. Jakarta: PT Gramedia Pustaka Utama.
Abstract viewed = 466 times
PDF downloaded = 250 times
Copyright (c) 2020 Siti Ernawati, Imam Taftazani Al Hakim, Tuslaela Tuslaela
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
An author who publishes in the Pilar Nusa Mandiri: Journal of Computing and Information System agrees to the following terms:
- Author retains the copyright and grants the journal the right of first publication of the work simultaneously licensed under the Creative Commons Attribution-NonCommercial 4.0 License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal
- Author is able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) with the acknowledgement of its initial publication in this journal.
- Author is permitted and encouraged to post his/her work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of the published work (See The Effect of Open Access).
Read more about the Creative Commons Attribution-NonCommercial 4.0 Licence here: https://creativecommons.org/licenses/by-nc/4.0/.