Implementasi Metode Preference Selection Index (PSI) dalam Seleksi Penerimaan Content Creator Media Sosial

Authors

  • Usanto S Institut Teknologi dan Bisnis Swadharma, Jakarta

DOI:

https://doi.org/10.30865/mib.v7i2.5936

Keywords:

DSS, PSI, Acceptance, Content Creator, Selection

Abstract

Currently social media in the world of work has an important role and can also be a place of business competition. Social media is now being used as an easier and more efficient promotional platform designed to capture the attention of the audience so as to expand the target market for higher profits. Content creators have an important role for business actors, content creators are responsible for social media owned by business actors. The selection process for accepting content creators is still carried out conventionally so that the selection process is sometimes not appropriate in accepting the best content creators. So with that, business actors must choose quality content creators so that their social media continues to be active and get a wider target audience. In selecting content creators, several criteria have been determined, namely skills, work experience, number of followers, interviews and education. Because of these problems, a system is needed that can assist in obtaining reliable and targeted recommendations. The application of a decision support system in this study was used by implementing the PSI (Preference Selection Index) method in which this method is very helpful in producing the best weight and preference values from alternative data and criteria so that the final result is the recommendation for the best content creator in Medan city in the Alternative A3 is Andriana with a value of 0.9236.

References

S. Surahman, “Implementasi Manajemen Mutu Pendidikan Islam Menuju Era Society 5.0,†J. Teach. Educ., vol. 3, no. 2, pp. 170–182, 2022.

S. Baharsyam and T. Wahyuti, “STRATEGI PENGGUNAAN KEY OPINION LEADER ( KOL ) DI MEDIA SOSIAL UNTUK MENINGKATKAN BRAND AWARENESS PRODUK SANIA ROYALE SOYA OIL,†J. KONVERGENSI, pp. 244–256, 2022.

M. Amin, N. Irawati, H. D. E. Sinaga, D. Retnosari, J. Maulani, and H. D. L. Raja, “Decision support system analysis for selecting a baby cream product with Preference Selection Index (PSI) Baby Sensitive Skin under 3 Year,†J. Phys. Conf. Ser., vol. 1933, no. 1, 2021.

V. No, M. Badaruddin, and M. Lasena, “DECISION SUPPORT SYSTEM OF EMPLOYEE PERFORMANCE ASSESSMENT APPLYING COMBINATION SIMPLE ADDITIVE WEIGHTING ( SAW ) METHOD WITH RANK ORDER CENTROID ( ROC ),†vol. 2, no. 12, pp. 37–42, 2021.

S. Teerasoponpong and A. Sopadang, “Decision support system for adaptive sourcing and inventory management in small- and medium-sized enterprises,†Robot. Comput. Integr. Manuf., vol. 73, no. February 2021, p. 102226, 2022.

N. E. Ingraham et al., “Re-Aiming equity evaluation in clinical decision support: a scoping review of equity assessments in surgical decision support systems,†Ann. Surg., vol. 277, no. 3, pp. 359–364, 2023.

M. N. D. Satria, “Application of SAW in the Class Leader Selection Decision Support System,†Chain J. Comput. Technol. Comput. Eng. Informatics, vol. 1, no. 1, pp. 27–31, 2023.

D. Su, L. Zhang, H. Peng, P. Saeidi, and E. B. Tirkolaee, “Technical challenges of blockchain technology for sustainable manufacturing paradigm in Industry 4.0 era using a fuzzy decision support system,†Technol. Forecast. Soc. Change, vol. 188, p. 122275, 2023.

F. S. Amalia and D. Alita, “Application of SAW Method in Decision Support System for Determination of Exemplary Students,†J. Inf. Technol. Softw. Eng. Comput. Sci., vol. 1, no. 1, pp. 14–21, 2023.

H. T. Rizki, Mesran, and I. Saputra, “Penerapan Preference Selection Index (PSI) dalam Seleksi Siswa Program Pertukaran Pelajar,†J. MEDIA Inform. BUDIDARMA, vol. 6, no. April, pp. 989–999, 2022.

J. Hutagalung, A. F. Boy, H. Jaya, and I. Zulkarnain, “Pemberian Beasiswa Kepada Mahasiswa dengan Metode Preference Selection Index ( PSI ),†J. Sains Komput. Inform., vol. 6, no. September, pp. 648–660, 2022.

A. U. Bani and Y. L. Prambodo, “Sistem Pendukung Keputusan Penentuan Pengangkatan Karyawan Kontrak Menjadi Karyawan Tetap Menerapkan Metode Preference Selection Index ( PSI ),†vol. 4, no. 3, pp. 1412–1421, 2022.

M. H. Devi, “Sistem Pendukung Keputusan Rekrutmen Pegawai Menggunakan Metode Preference Selection Index (PSI),†vol. 4, no. 3, pp. 1447–1455, 2022.

M. H. Devi, “Sistem Pendukung Keputusan Rekrutmen Pegawai Menggunakan Metode Preference Selection Index (PSI),†vol. 4, no. November, pp. 109–116, 2022.

I. D. Pangestu and Fahrullah, “Penerapan Metode Preference Selection Index untuk Sistem Pendukung Keputusan Pemilihan Supervisor di PT Arkananta,†vol. 02, no. 01, pp. 37–49, 2021.

R. K. Putra, Y. Yupianti, I. Y. Beti, and D. Lianda, “A Decision Support System For The Selection Of The Best Employees At CV. Adiguna By Applying The Preferences Selection Index Method,†J. Media Comput. Sci., vol. 2, no. 1, pp. 107–112, 2023.

F. Chen et al., “Road safety performance rating through PSI-PRIDIT: A planning tool for designing policies and identifying best practices for EAS countries,†Socioecon. Plann. Sci., vol. 85, p. 101438, 2023.

A. T. Hasibuan and M. Yetri, “Penerapan Metode Preference Selection Index ( PSI ) Dalam Perekrutan Tutor,†vol. 1, pp. 394–404, 2022.

N. Huda and S. N. Hutagalung, “SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SUPERVISOR PERENCANAAN TERBAIK MENERAPKAN PREFERENCE SELECTION INDEX DI PT . PLN ( PERSERO ) AREA MEDAN,†2008.

N. Arifin and H. Saputro, “Selection Index ( PSI ) Method in Developing a Student Scholarship Decision Support System,†vol. 03, no. 01, 2022.

S. H. Sahir et al., “The Preference Selection Index Method in Determining the Location of Used Laptop Marketing,†Int. J. Eng. Technol., vol. 7, pp. 260–263, 2018.

Mesran, K. Tampubolon, R. D. Sianturi, F. T. Waruwu, and A. P. U. Siahaan, “Determination of Education Scholarship Recipients Using Preference Selection Index,†Int. J. Sci. Res. Sci. Technol., vol. 3, no. 6, pp. 230–234, 2017.

M. Kumar and A. Kumar, “Application of preference selection index method in performance based ranking of ceramic particulate (SiO2/SiC) reinforced AA2024 composite materials,†Mater. Today Proc., vol. 27, no. xxxx, pp. 2667–2672, 2019.

M. Laia, P. Laia, and W. I. Safitri, “Sistem Pendukung Keputusan Dalam Penilaian Dosen Menerapkan Metode Weight Aggregated Sum Product Assesment ( WASPAS ),†pp. 130–134, 2018.

W. I. Safitri, M. Mesran, and S. Sarwandi, “Penerapan Metode Preference Selection Index (PSI) Dalam Penerimaan Staff IT,†Bull. Informatics Data …, vol. 1, no. 1, pp. 1–5, 2022.

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Published

2023-04-27

Issue

Vol. 7 No. 2 (2023): April 2023

Section

Articles

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