Sistem Pendukung Keputusan Pemilihan Laptop dengan Menerapkan Metode Multi-Objective Optimization on the basis of Ratio Analysis (MOORA)
Abstract
The lack of knowledge and information regarding laptop specifications makes ordinary people who want to buy a laptop feel confused about determining which laptop suits their needs. As a tool that can be used to select a laptop, a decision support system is needed. In decision support systems there are several methods, one of which can be used is the MOORA method (Multi-Objective Optimization on the basis of Ratio Analysis). In this research, the author will raise a case to find the best alternative from predetermined criteria to determine comparisons by rating existing alternatives using the MOORA (Multi-Objective Optimization on the basis of Ratio Analysis)method. Based on the relative performance scores, Asus Rog GL552JX (A9) obtained the highest score of 0.217 and ranked first. This was followed by Asus A455LD (A4) with a score of 0.21585 and second place, and Acer Aspire E5-551 (A2) with a score of 0.19785 and third place. Acer One 10 S100X (A10) received the lowest score of 0.1042 and ranked last. Thus, Asus Rog GL552JX (A9) can be considered as the best laptop based on the established criteria in this study.
Downloads
References
M. R. Noviansyah, W. Suharso, D. R. Chandranegara, M. S. Azmi, and M. Hermawan, “Sistem Pendukung Keputusan Pemilihan Laptop Pada E-Commerce Menggunakan Metode Weighted Product,” Pros. SENTRA (Seminar Teknol. dan Rekayasa), 2019.
T. Hartanto and M. I. Prasetiyowati, “Sistem Pendukung Keputusan Pemilihan Laptop Berbasis Web dengan Metode Analytical Hierarchy Process,” J. Ultim., vol. 4, no. 2, pp. 7–15, 2012, doi: 10.31937/ti.v4i2.314.
A. Kusuma, A. Nasution, R. Safarti, R. K. Hondro, and E. Buulolo, “Sistem Pendukung Keputusan Pemilihan Siswa / I Teladan Dengan Menggunakan Metode Multi-Objective Optimization on The Basis of Ratio Analisis ( MOORA ),” vol. 5, no. 2, pp. 114–119, 2018.
N. A. Syafitri and A. P. Dewi, “Penerapan Metode Weighted Product Dalam Sistem Pendukung Keputusan Pemilihan Laptop Berbasis Web,” semanTIK, vol. 2, no. 1, pp. 169–176, 2016, doi: 10.1016/j.bmc.2010.09.050.
K. Munthe, T. R. A. Syahputra, A. A. Pasuli, and M. A. Hasibuan, “Sistem Pendukung Keputusan Pemilihan Pegawai Honorer Kelurahan Medan Sinembah Menerapkan Metode ROC dan MOORA,” vol. 1, no. 1, 2022.
Mesran et al., Data Mining for Decision Support System, 1st ed. Jawa Tengah: Pena Persada Kerta Utama, 2024.
E. Suryani, “Sistem Pendukung Keputusan Penerima Bantuan Siswa Miskin Menerapkan Metode WASPAS dan MOORA,” Semin. Nas. Sains Teknol. Inf., pp. 719–727, 2018.
D. Pribadi, R. A. Saputra, and J. M. Hudin, “Sistem Pendukung Keputusan,” 2020.
R. P. Sari and A. M. Alliandaw, “Penerapan Metode MOORA Untuk Pemilihan Jurusan Pada SMA Negeri 3 Pontianak,” vol. 11, pp. 266–275, 2022.
T. P. Handayani, P. I. Wantu, I. Ibrahim, and H. Gani, “Penerapan Metode Multi Objective Optimization on The Basic of Ratio Analysis (MOORA) Untuk Pemilihan Penerima Bantuan Langsung Tunai di Desa Ilomangga,” J. Ilm. Tek. Mesin, Elektro dan Komput., vol. 3, no. 2, pp. 229–243, 2023.
A. D. Amanda, F. N. Arieni, and A. P. Windarto, “Penerapan Metode Multi Objective Optimization on The Basic of Ratio Analysis ( MOORA ) pada Pemilihan Masker Organik Wajah Berdasarkan Kriteria,” J. Sist. Komput. dan Inform., vol. 2, no. 3, pp. 283–288, 2021, doi: 10.30865/json.v2i3.3011.
D. Andreswari, J. P. Sari, N. Annisa, and A. Herman, “PENERAPAN METODE MOORA PADA SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN LAHAN YANG SESUAI UNTUK PERKEBUNAN KELAPA SAWIT BERBASIS WEBSITE,” J. Pseudocode, vol. 10, no. 1, pp. 57–64, 2023.
L. Dahlia, L. Magdalena, and Kusnadi, “Penerapan Sistem Keputusan Dengan Metode Roc Dan MooraUntuk Lowongan Pekerjaan Bagi AlumniUniversitas Catur Insan Cendekia,” Tek. Inform. Kaputama, vol. Vol.7, no. No. 1, pp. 118–127, 2023.
A. Azfandi and Oktafianto, “Sistem Pendukung Keputusan Pemilihan Laptop Dengan Metode Simple Additive Weighting (SAW) Studi Kasus : Raka Com,” Konf. Mhs. Sist. Inf. STMIK PRNGSEWU, vol. 4, no. 1, pp. 39–43, 2016.
I. Susilawati and P. Pristiwanto, “Sistem Pendukung Keputusan Pemilihan Pekerja Buruh Harian Lepas Dengan Menggunakan Metode Waspas (Studi Kasus: PT. Socfin Indonesia),” KOMIK (Konferensi Nas. Teknol. Inf. dan Komputer), vol. 5, no. 1, 2021.
R. R. Dilla and D. P. Utomo, “Sistem Pendukung Keputusan Pemilihan Mekanik Terbaik Menggunakan Metode Operational Competitiveness Rating Analysis ( OCRA ) Studi Kasus : Auto2000,” vol. 5, pp. 103–110, 2021, doi: 10.30865/komik.v5i1.3657.
N. Umar, “Sistem Pendukung Keputusan,” 2023.
A. T. Hidayat, N. K. Daulay, and Mesran, “Penerapan Metode Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) dalam Pemilihan Wiraniaga Terbaik,” J. Comput. Syst. Informatics, vol. 1, no. 4, pp. 367–372, 2020.
S. Manurung, “Sistem Pendukung Keputusan Pemilihan Guru Dan Pegawai Terbaik Menggunakan Metode Moora,” Simetris J. Tek. Mesin, Elektro dan Ilmu Komput., vol. 9, no. 1, pp. 701–706, 2018, doi: 10.24176/simet.v9i1.1967.
M. Safii and A. Zulhamsyah, “Sistem Pendukung Keputusan Pemilihan Mekanik Sepeda Motor Yamaha Alfascorfii Dengan Metode Multi Objective Optimization On The Basis Of Ratio Analysis (MOORA),” J-SAKTI (Jurnal Sains Komput. dan Inform., vol. 2, no. 2, p. 162, 2018, doi: 10.30645/j-sakti.v2i2.79.
Bila bermanfaat silahkan share artikel ini
Berikan Komentar Anda terhadap artikel Sistem Pendukung Keputusan Pemilihan Laptop dengan Menerapkan Metode Multi-Objective Optimization on the basis of Ratio Analysis (MOORA)
Pages: 1194−1202
Copyright (c) 2025 Kelik Sussolaikah, Juanda Hakim Lubis, Achmad Fikri Sallaby, Ega Yuliani, Mesran Mesran

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under Creative Commons Attribution 4.0 International License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are 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 an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their 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 published work (Refer to The Effect of Open Access).






















