Aplikasi Mobile Your Job MBTI (Myers-Briggs Indicator) Menggunakan Algoritma Fisher-Yates Shuffle
DOI:
https://doi.org/10.30865/mib.v5i3.3095Keywords:
Fisher-Yates Shuffle Algorithm, Android, MBTI, Work, Your JobAbstract
Work is something that everyone will do. This is because by working we will earn money that can make us able to fulfill our needs. But sometimes there are still quite a lot of people out there who don't even know what job is right for them. Therefore the author designed an application called Your Job based on Android, this application will provide suitable job recommendations based on the person's personality. In this study using the fisher-yates shuffle algorithm. Fisher-Yates shuffle algorithm can be applied to randomization of questions. The design of this application also uses the MBTI (Myers-Briggs Indicator) method to make it easier to determine a person's personality. After doing it to several people about this application. They gave a very good response, it is certain that the fisher-ystes shuffle algorithm runs well in randomizing the questions and using the MBTI method the accuracy level is almost 100% accurate.
References
I. N. Dost, G. Bohloulzadeh, and N. K. Hafshejani, “The Impact of Teachers’ Personality on Senior High School EFL Learners’ General English Achievement,†Int. J. English Lit. Soc. Sci., vol. 2, no. 3, pp. 77–93, 2017, doi: 10.24001/ijels.2.3.9.
M. Agustina and D. Hurriyati, “Pengembangan Aplikasi Mobile Tes Kepribadian Andorid Berbasis,†pp. 198–202, 2018.
J. Andjarwirawan, A. Handojo, P. S. Informatika, F. T. Industri, U. K. Petra, and J. Siwalankerto, “Aplikasi Tes Kepribadian Online Berbasis Website pada Pusat Konseling dan Pengembangan Pribadi Universitas Kristen Petra,†INFRA, vol. 7, pp. 1–4, 2019.
R. Priantama and Y. Priandani, “Implementasi Algoritma Fisher Yates Untuk Pengacakan Soal Pada Aplikasi Mobile Learning Kuis Fiqih Berbasis Android,†Nuansa Inform., vol. 13, no. 2, p. 40, 2019, doi: 10.25134/nuansa.v13i2.1951.
V. Atina, F. E. Nastiti, and V. Aryadi, “Aplikasi Deteksi Kesesuaian Pekerjaan Berdasarkan Tes Kepribadian Berbasis Mobile,†J. Inf. Politek. Indonusa Surakarta, vol. 4, no. 3, pp. 1–6, 2018.
M. A. Hasan, S. Supriadi, and Z. Zamzami, “Implementasi Algoritma Fisher-Yates Untuk Mengacak Soal Ujian Online Penerimaan Mahasiswa Baru (Studi Kasus : Universitas Lancang Kuning Riau),†J. Nas. Teknol. dan Sist. Inf., vol. 3, no. 2, pp. 291–298, 2017, doi: 10.25077/teknosi.v3i2.2017.291-298.
F. Kurniawan, “Game Bahari Menggunakan Algoritma Fisher Yates Suffle Sebagai Pengacak Posisi NPC,†Matics, vol. 7, no. 2, p. 71, 2016, doi: 10.18860/mat.v7i2.3281.
I. Kaniawulan, M. R. Muttaqin, P. Studi, and T. Informatika, “Sistem Pakar Menentukan Jenis Pekerjaan Menggunakan Teori Myers-Briggs Type Indicator dengan Algoritma Forward Chaining,†no. 53.
G. A. Ikhwanuddin, “Aplikasi Pengenalan Tipe Kepribadian Dengan Metode Mbti ( Myers – Briggs Type Indicator ) Berbasis Computer Based Testing,†Univ. Islam Indones., 2017.
H. Hanifa and M. Anwar, “Perancangan Sistem Pakar Tes Kepribadian Berdasarkan Teori Myers-Briggs Type Indicator Dengan Metode Forward Chaining Berbasis Android,†Voteteknika (Vocational Tek. Elektron. dan Inform., vol. 6, no. 2, p. 74, 2018, doi: 10.24036/voteteknika.v6i2.102023.
Ekojono, D. A. Irawati, L. Affandi, and A. N. Rahmanto, “Penerapan Algoritma Fisher-Yates Pada Pengacakan Soal Game Aritmatika,†Pros. SENTIA 2017 – Politek. Negeri Malang, vol. 9, no. ISSN: 2085-2347, pp. 101–106, 2017, [Online]. Available: http://sentia.polinema.ac.id/index.php/SENTIA2017/article/viewFile/237/225.
K. Vebiant, M. I. Wahyuddin, and R. T. Komala Sari, “Rancang Bangun Media Pembelajaran Tenses English Berbasis Android menggunakan Algoritma Fisher-Yates,†J. JTIK (Jurnal Teknol. Inf. dan Komunikasi), vol. 5, no. 4, p. 407, 2021, doi: 10.35870/jtik.v5i4.246.
R. R. C. Putra and T. Sugihartono, “Penerapan Algoritma Fisher-Yates Shuffle pada Computer Based Test Ujian Sekolah di SMKN 1 Payung,†MATRIK J. Manajemen, Tek. Inform. dan Rekayasa Komput., vol. 18, no. 2, pp. 276–283, 2019, doi: 10.30812/matrik.v18i2.399.
A. N. Kusumastuti, Budiyono, and D. Indriati, “Mathematical internal connection ability based on personality types of sensing and intuiting,†J. Phys. Conf. Ser., vol. 1806, no. 1, 2021, doi: 10.1088/1742-6596/1806/1/012093.
W. A. Rohmah, A. Asriyanik, and W. Apriyandari, “Implementation of the Algorithm Fisher Yates Shuffle on Game Quiz Environment,†J. Informatics Telecommun. Eng., vol. 4, no. 1, pp. 161–172, 2020, doi: 10.31289/jite.v4i1.3863.
I. Maryono, W. B. Zulfikar, and R. Kariadinata, “The implementation of fisher yates shuffle on aljabar learning media based on hybrid application,†MATEC Web Conf., vol. 197, pp. 1–5, 2018, doi: 10.1051/matecconf/201819701006.
Y. Arviansyah, N. Nurfaizah, and R. Waluyo, “Penerapan Algoritma Fisher Yates Shuffle Pada Aplikasi TOEFL Preparation Berbasis Web,†J. Buana Inform., vol. 11, no. 2, p. 111, 2020, doi: 10.24002/jbi.v11i2.3622.
Downloads
Published
Issue
Section
License
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).
