Implementasi Pemilihan Maskapai Penerbangan Menggunakan FUCOM-MABAC Pada Sistem Pendukung Keputusan

Gede Surya Mahendra(1*), Putu Gede Surya Cipta Nugraha(2), I Putu Yoga Indrawan(3), I Made Satrya Ramayu(4),

(1) STMIK STIKOM Indonesia, Denpasar, Indonesia
(2) STMIK STIKOM Indonesia, Denpasar, Indonesia
(3) STMIK STIKOM Indonesia, Denpasar, Indonesia
(4) Program Studi Bisnis Digital, Institut Desain & Bisnis Bali, Denpasar, Indonesia
(*) Corresponding Author

Abstract


There are still many airlines that face various problems, although the development of the Indonesian aviation service industry continues to grow. The better the service quality standard of the selected airline, the greater the interest of prospective passengers to use its services. The many choices and considerations for choosing an airline often confuse customers, because each airline has its own strengths. To solve this problem, a decision support system (DSS) can be used in airline selection based on customer preferences. This study succeeded in implementing FUCOM-MABAC to determine the most popular airlines in Indonesia. The price criteria (K4) turned out to be the main concern of consumers when calculating with FUCOM. Calculations using FUCOM-MABAC show that Garuda Indonesia is the most popular airline in Indonesia with a preference value of 0.3188, followed by Citilink as the second most popular airline and Batik Air as the third. Tests using consistency analysis show that Garuda Indonesia occupies the top 11 out of 13 tests with an average rating distribution of 1.29905, remaining stable as the best choice.

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References


T. Santia, “Rentetan Kejadian Pesawat Maskapai Nasional di Awal 2021, Masalah Mesin hingga Pecah Ban,” Liputan 6, Mar. 12, 2021. https://www.liputan6.com/bisnis/read/4504854/rentetan-kejadian-pesawat-maskapai-nasional-di-awal-2021-masalah-mesin-hingga-pecah-ban

W. S. Widodo, “Airbus Umumkan Rugi Rp 18,8 Triliun Gegara Pandemi Corona,” Detik.com, Feb. 23, 2021. https://travel.detik.com/travel-news/d-5401132/airbus-umumkan-rugi-rp-188-triliun-gegara-pandemi-corona

J. Dalle, “Pandemi Corona dan Drama ‘Terra Incognita,’” Detik.com, Nov. 16, 2020. https://news.detik.com/kolom/d-5256888/pandemi-corona-dan-drama-terra-incognita

D. Kuswaraharja, “Cara Dapatkan Rapid Test Antigen Gratis di 5 Maskapai,” Detik.com, Mar. 08, 2021. https://travel.detik.com/travel-news/d-5485219/cara-dapatkan-rapid-test-antigen-gratis-di-5-maskapai

N. Indriyani, E. Ali, U. Rio, and R. Rahmaddeni, “Menentukan Kualitas Pelayanan Maskapai Penerbangan Domestik Dengan Menggunakan Metode Naïve Bayes:,” SATIN, vol. 6, no. 1, pp. 37–44, Jun. 2020, doi: 10.33372/stn.v6i1.605.

S. Seimahuira, “Implementasi Datamining dalam Menentukan Destinasi Unggulan Berdasarkan Online Reviews TripAdvisor Menggunakan Alogoritma K-Means,” Jurnal Technologia, vol. 12, no. 1, pp. 53–58, 2021.

G. S. Mahendra and I. G. B. Subawa, “Perancangan Metode AHP-WASPAS Pada Sistem Pendukung Keputusan Penempatan ATM,” Prosiding Seminar Nasional Pendidikan Teknik Informatika (SENAPATI) Ke-10, vol. 1, no. 1, pp. 122–128, 2019.

G. S. Mahendra and N. K. A. P. Sari, “Perancangan Sistem Pendukung Keputusan Dengan Metode Ahp-Vikor Dalam Penentuan Pengembangan Ekowisata Pedesaan ( Decision Support System Design With Ahp-Vikor Method In Determination Of Rural Ecotourism Development ),” 2019, pp. 15–34.

G. S. Mahendra, I. W. W. Karsana, and A. A. I. I. Paramitha, “DSS for best e-commerce selection using AHP-WASPAS and AHP-MOORA methods,” MATRIX, vol. 11, no. 2, pp. 81–94, Jul. 2021, doi: 10.31940/matrix.v11i2.2306.

G. S. Mahendra and K. Y. E. Aryanto, “SPK Penentuan Lokasi ATM Menggunakan Metode AHP dan SAW,” Jurnal Nasional Teknologi dan Sistem Informasi, vol. 5, no. 1, pp. 49–56, 2019, doi: 10.25077/TEKNOSI.v5i1.2019.49-56.

I. G. Hendrayana and G. S. Mahendra, “Perancangan Metode AHP-MOORA Pada Sistem Pendukung Keputusan Pemilihan Paket Wisata,” Prosiding Seminar Nasional Pendidikan Teknik Informatika (SENAPATI) Ke-10, vol. 1, no. 1, pp. 143–149, 2019.

N. K. A. P. Sari, “Implementation of the AHP-SAW Method in the Decision Support System for Selecting the Best Tourism Village,” Jurnal Teknik Informatika C.I.T Medicom, vol. 13, no. 1, pp. 22–31, Mar. 2021.

G. S. Mahendra and E. Hartono, “Implementation of AHP-MAUT and AHP-Profile Matching Methods in OJT Student Placement DSS,” Jurnal Teknik Informatika CIT Medicom, vol. 13, no. 1, p. 9, 2021, doi: https://doi.org/10.35335/cit.Vol13.2021.56.pp13-22.

G. S. Mahendra and I. P. Y. Indrawan, “Metode AHP-TOPSIS Pada Sistem Pendukung Keputusan Penentuan Penempatan Atm,” JST (Jurnal Sains dan Teknologi), vol. 9, no. 2, pp. 130–142, 2020, doi: 10.23887/jst-undiksha.v9i2.24592.

I. Badi and A. Abdulshahed, “Ranking the Libyan airlines by using Full Consistency Method (FUCOM) and Analytical Hierarchy Process (AHP),” Operational Research in Engineering Sciences: Theory and Applications, vol. 2, no. 1, pp. 1–14, 2019, doi: 10.31181/oresta1901001b.

B. Matić et al., “A New Hybrid MCDM Model : Sustainable Supplier Selection in a Construction Company,” Symmetry, vol. 11, no. March, pp. 1–24, 2019, doi: 10.3390/sym11030353.

M. Adnan, R. Adin, Z. Nunić, Ž. Stević, and S. Sremac, “Selection of transportation mean using integrated FUCOM-ARAS model,” st and, p. 6, 2019.

D. S. Pamucar, D. Božanic, and A. Randelovic, “Multi-criteria decision making: An example of sensitivity analysis,” Serbian Journal of Management, vol. 12, no. 1, pp. 1–27, 2017, doi: 10.5937/sjm12-9464.

Ž. Stević, B. Miĉić, D. Lukić, M. Tomašević, and S. Sremac, “Supplier Selection for Distribution of Finished Products: Combined FUCOM-MABAC Model,” 2019, no. December, pp. 35–40.

B. N. Ihwa, N. Silalahi, and R. K. Hondro, “Sistem Pendukung Keputusan Pemilihan Jaksa Terbaik dengan Menerapkan Metode MABAC ( Studi Kasus : Kejaksaan Negeri Medan ),” Journal of Computer System and Informatics, vol. 1, no. 4, pp. 225–230, 2020.

N. Ndruru, F. T. Waruwu, and D. P. Utomo, “Penerapan Metode MABAC Untuk Mendukung Pengambilan Keputusan Pemilihan Kepala Cabang Pada PT. Cefa Indonesia Sejahtera Lestari,” Rekayasa Teknik Informatika dan Informasi, vol. 1, no. 1, pp. 36–49, 2020.

H. Yosafat, K. Budi, and Nurhadi, “Perancangan Sistem Pendukung Keputusan Pembelian Laptop Dengan Metode Mabac (Studi Kasus : Sigma Komputer),” Jurnal Ilmiah Mahasiswa Teknik Informatika, vol. 2, no. 2, pp. 148–161, 2020.

R. Wirth and J. Hipp, “CRISP-DM : Towards a Standard Process Model for Data Mining,” Semantic Scholar, vol. 1, no. 24959, pp. 1–11, 2000.

E. Exenberger and J. Bucko, “Analysis of Online Consumer Behavior - Design of CRISP-DM Process Model,” AOL, vol. 12, no. 3, pp. 13–22, Sep. 2020, doi: 10.7160/aol.2020.120302.

C. Schröer, F. Kruse, and J. M. Gómez, “A Systematic Literature Review on Applying CRISP-DM Process Model,” Procedia Computer Science, vol. 181, pp. 526–534, 2021, doi: 10.1016/j.procs.2021.01.199.

G. S. Mahendra and P. G. S. C. Nugraha, “Komparasi Metode AHP-SAW dan AHP-WP pada SPK Penentuan E-Commerce Terbaik di Indonesia Comparison of AHP-SAW and AHP-WP Methods on DSS to Determine the Best E-Commerce in Indonesia,” Jurnal Sistem dan Teknologi Informasi (JUSTIN), vol. 08, no. 4, pp. 346–356, 2020, doi: 10.26418/justin.v8i4.42611.

G. S. Mahendra and E. Hartono, “Komparasi Analisis Konsistensi Metode AHP-MAUT dan AHP-PM pada SPK Penempatan Siswa OJT,” Jurnal Teknologi Informasi Informasi dan Komputer, vol. 7, no. 2, 2021.


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