Implementasi Metode Moora Pada Sistem Pendukung Keputusan Untuk Pemilihan Hotel Terbaik Di Kota Medan

Authors

  • Preddy Marpaung STMIK Pelita Nusantara
  • R. Fanry Siahaan STMIK Pelita Nusantara
  • Ibnu Febrian STMIK Pelita Nusantara
  • Widia Putri STMIK Pelita Nusantara

DOI:

https://doi.org/10.51544/jurnalmi.v7i2.3680

Keywords:

SPK, Metode MOORA, Hotel

Abstract

A hotel is a temporary lodging place intended for the general public, both individually and in groups, who come from different areas as well as for the people in the area. Hotels are often used by the community as a place to rest or stay because they are considered a comfortable place to rest or other things that support the convenience of the community. The development of hotels in various cities can be said to be very rapid, judging by the large number of hotels, both star and jasmine class, which are scattered in various cities in Indonesia, one of which is Medan City. According to the central statistics agency for North Sumatra in 2017 the city of Medan has 11,366 hotels. With the large number of hotels in the city of Medan scattered in several locations with various hotel classes, hotel rates and hotel facilities make it difficult for people to determine which hotel is appropriate according to existing criteria. If you choose the wrong hotel where to stay where there are no guarantees such as comfort, facilities and others as desired, it will not have an impact on people who want to stay overnight. Therefore it is necessary to implement a method to support a decision support system for choosing the best hotel in the city of Medan according to the desired criteria. Researchers implemented the Multi-Objective Optimization by Ratio Analysis method or commonly abbreviated as the MOORA method in a decision support system to choose the best hotel in the city of Medan. The reason researchers use this method is because several previous researchers used a lot of decision support systems using the MOORA method in solving problems in decision makers. With this research, the public will gain new knowledge to choose hospitality in the city of Medan. Where the outcome promised by the researchers in this study is the sinta 5 accredited journal.

Downloads

Download data is not yet available.

References

Afkhamiaghda, M., & Elwakil, E. (2022). Challenges review of decision making in post-disaster construction. International Journal of Construction Management, 1–10. https://doi.org/10.1080/15623599.2022.2061751

Al-Hafiz, N. W., Mesran, & Suginam. (2017). Sistem Pendukung Keputusan Penentukan Kredit Pemilikan Rumah Menerapkan Multi-Objective Optimization on the Basis of Ratio Analysis ( Moora ). KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer).

Barita, P., Simangunsong, N., & Sinaga, S. B. (2019). SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN DOSEN BERPRESTASI TINGKAT KOPERTIS WILAYAH I DENGAN METODE ELECTRE BERBASIS WEB. Jurnal Teknovasi, 06, 63–74.

Candro, D., Sinaga, P., Sianipar, B., & Marpaung, P. (2020). Pemilihan Calon Manager Dari Pegawai Berprestasi Menggunakan Metode Profile Matching Pada CV . Glofacia Oceanic. 4(September), 643–656.

Hasibuan, R. Z., Prahutama, A., & Ispriyanti, D. (2019). PERBANDINGAN METODE MOORA DAN TOPSIS DALAM PENENTUAN PENERIMAAN SISWA BARU DENGAN PEMBOBOTAN ROC MENGGUNAKAN GUI MATLAB. Jurnal Gaussian. https://doi.org/10.14710/j.gauss.v8i4.26726

Kusrini, M. D. (2013). Panduan Bergambar Identifikasi Amfibi Jawa Barat. Bogor: Fakultas Kehutanan IPB.

Marpaung, P., & Pandiangan, H. (2020). Utilization of the MOORA Method for Recommended Selection of Best Waiters in Hospitality. 4(36), 566–573. Retrieved from https://semanticscholar.org/paper/cdce9b7cfbc266251262df9d1709a8789137d1a5

Sanjaya, R. (2020). Sistem Pengambilan Keputusan Untuk Menentukan Perumahan Terbaik Berdasarkan Kondisi dan Lokasi Menggunakan Metode ENTROPHY dan ARAS. Seminar Nasional Teknologi Komputer & Sains (SAINTEKS) SAINTEKS 2020.

Sianturi, F. A., Sinaga, B., & Hasugian, P. M. (2018). Fuzzy Multiple Attribute Decisison Macking Dengan Metode Oreste Untuk Menentukan Lokasi Promosi. Journal Of Informatic Pelita Nusantara, 3(1), 63–68. Retrieved from http://e-jurnal.pelitanusantara.ac.id/index.php/JIPN/article/view/289

Sinaga, D. C. P., Marpaung, P., & Sianipar, B. (2021). The Application of the MOORA Method in the Decision Making System for the Selection of the Best Employees at CV. Lautan Mas. IJISTECH (International Journal of Information System & Technology), 5(2), 233–239.

T. Limbong et al. (2020). Sistem Pendukung Keputusan: Metode & Implementasi (Vol. 1). Medan: Kita Menulis.

Ulandari, N. W. A. (2020). Implementasi Metode MOORA pada Proses Seleksi Beasiswa Bidikmisi di Institut Teknologi dan Bisnis STIKOM Bali. Jurnal Eksplora Informatika. https://doi.org/10.30864/eksplora.v10i1.379

Zeeshan, M., Nath, S., & Bhanja, D. (2019). Determination of optimum winglet height of longitudinal vortex generators for the best thermo-hydraulic performance of compact heat exchangers. Journal of Mechanical Science and Technology, 33(9), 4529–4534. https://doi.org/10.1007/s12206-019-0849-1

Afkhamiaghda, M., & Elwakil, E. (2022). Challenges review of decision making in post-disaster construction. International Journal of Construction Management, 1–10. https://doi.org/10.1080/15623599.2022.2061751

Al-Hafiz, N. W., Mesran, & Suginam. (2017). Sistem Pendukung Keputusan Penentukan Kredit Pemilikan Rumah Menerapkan Multi-Objective Optimization on the Basis of Ratio Analysis ( Moora ). KOMIK (Konferensi Nasional Teknologi Informasi Dan Komputer).

Barita, P., Simangunsong, N., & Sinaga, S. B. (2019). SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN DOSEN BERPRESTASI TINGKAT KOPERTIS WILAYAH I DENGAN METODE ELECTRE BERBASIS WEB. Jurnal Teknovasi, 06, 63–74.

Candro, D., Sinaga, P., Sianipar, B., & Marpaung, P. (2020). Pemilihan Calon Manager Dari Pegawai Berprestasi Menggunakan Metode Profile Matching Pada CV . Glofacia Oceanic. 4(September), 643–656.

Hasibuan, R. Z., Prahutama, A., & Ispriyanti, D. (2019). PERBANDINGAN METODE MOORA DAN TOPSIS DALAM PENENTUAN PENERIMAAN SISWA BARU DENGAN PEMBOBOTAN ROC MENGGUNAKAN GUI MATLAB. Jurnal Gaussian. https://doi.org/10.14710/j.gauss.v8i4.26726

Kusrini, M. D. (2013). Panduan Bergambar Identifikasi Amfibi Jawa Barat. Bogor: Fakultas Kehutanan IPB.

Marpaung, P., & Pandiangan, H. (2020). Utilization of the MOORA Method for Recommended Selection of Best Waiters in Hospitality. 4(36), 566–573. Retrieved from https://semanticscholar.org/paper/cdce9b7cfbc266251262df9d1709a8789137d1a5

Sanjaya, R. (2020). Sistem Pengambilan Keputusan Untuk Menentukan Perumahan Terbaik Berdasarkan Kondisi dan Lokasi Menggunakan Metode ENTROPHY dan ARAS. Seminar Nasional Teknologi Komputer & Sains (SAINTEKS) SAINTEKS 2020.

Sianturi, F. A., Sinaga, B., & Hasugian, P. M. (2018). Fuzzy Multiple Attribute Decisison Macking Dengan Metode Oreste Untuk Menentukan Lokasi Promosi. Journal Of Informatic Pelita Nusantara, 3(1), 63–68. Retrieved from http://e-jurnal.pelitanusantara.ac.id/index.php/JIPN/article/view/289

Sinaga, D. C. P., Marpaung, P., & Sianipar, B. (2021). The Application of the MOORA Method in the Decision Making System for the Selection of the Best Employees at CV. Lautan Mas. IJISTECH (International Journal of Information System & Technology), 5(2), 233–239.

T. Limbong et al. (2020). Sistem Pendukung Keputusan: Metode & Implementasi (Vol. 1). Medan: Kita Menulis.

Ulandari, N. W. A. (2020). Implementasi Metode MOORA pada Proses Seleksi Beasiswa Bidikmisi di Institut Teknologi dan Bisnis STIKOM Bali. Jurnal Eksplora Informatika. https://doi.org/10.30864/eksplora.v10i1.379

Zeeshan, M., Nath, S., & Bhanja, D. (2019). Determination of optimum winglet height of longitudinal vortex generators for the best thermo-hydraulic performance of compact heat exchangers. Journal of Mechanical Science and Technology, 33(9), 4529–4534. https://doi.org/10.1007/s12206-019-0849-1

Downloads

Published

2023-01-30

How to Cite

Marpaung, P., Siahaan, R. F., Febrian, I., & Putri, W. (2023). Implementasi Metode Moora Pada Sistem Pendukung Keputusan Untuk Pemilihan Hotel Terbaik Di Kota Medan . JURNAL MAHAJANA INFORMASI, 7(2), 191–200. https://doi.org/10.51544/jurnalmi.v7i2.3680

Most read articles by the same author(s)