Implementation of Analytical Hierarchy Process in Selection of Prospective Nurses
Abstract
Nurses are the spearhead of whether or not health services are provided to patients because for 24 hours nurses always interact with patients. Good service is inseparable from the commitment of nurses to provide good service to patients. The decision support system (DSS) is the application of an information system that is intended only as a management tool in decision making. The decision support system is designed to produce a variety of alternatives offered to decision makers in carrying out their duties. AHP was developed to compile a problem into a hierarchy which is then weighted (determining priorities) based on the perception of decision makers to choose the best decision. In decision making, the thing that needs to be considered is at the time of data collection, where this data is expected to be close to the real value, for example, the degree of consumer interest can be done with a pairwise comparison approach. The process of recruiting prospective nurses depends on the number of nurses needed. If the nurses needed are 5 people, then prospective nurses named Nurse 1, Nurse 2, Nurse 3, Nurse 4, and Nurse 5 have a greater chance of being accepted as nurses.
References
A. Karthikeyan, A. Garg, P. K. Vinod, and U. D. Priyakumar, “Machine learning based clinical decision support system for early COVID-19 mortality prediction,” Front. public Heal., vol. 9, p. 626697, 2021.
V. H. Valentino, H. S. Setiawan, A. Saputra, Y. Haryanto, and A. S. Putra, “Decision support system for thesis session pass recommendation using AHP (analytic hierarchy process) method,” Int. J. Educ. Res. Soc. Sci., vol. 2, no. 1, pp. 215–221, 2021.
Y. Yun, D. Ma, and M. Yang, “Human–computer interaction-based decision support system with applications in data mining,” Futur. Gener. Comput. Syst., vol. 114, pp. 285–289, 2021.
Y. Zhao, F. Cheng, S. Yüksel, and H. Dinçer, “Integer code series enhanced IT2 fuzzy decision support system with alpha cuts for the innovation adoption life cycle pattern recognition of renewable energy alternatives,” IEEE Access, vol. 9, pp. 34906–34920, 2021.
V. Sihombing, V. M. M. Siregar, W. S. Tampubolon, M. Jannah, and A. Hakim, “Implementation of simple additive weighting algorithm in decision support system,” in IOP Conference Series: Materials Science and Engineering, 2021, vol. 1088, no. 1, p. 12014.
A. U. Khan and Y. Ali, “Analytical hierarchy process (AHP) and analytic network process methods and their applications: a twenty year review from 2000-2019: AHP & ANP techniques and their applications: Twenty years review from 2000 to 2019,” Int. J. Anal. Hierarchy Process, vol. 12, no. 3, 2020.
R. C. Gustilo and C. C. Escolar-Jimenez, “An analytic hierarchy process approach in the shortlisting of job candidates in recruitment,” Int. J. Emerg. Trends Eng. Res., vol. 7, no. 9, p. 333, 2019.
M. R. Asadabadi, E. Chang, and M. Saberi, “Are MCDM methods useful? A critical review of analytic hierarchy process (AHP) and analytic network process (ANP),” Cogent Eng., vol. 6, no. 1, p. 1623153, 2019.
A. Darko, A. P. C. Chan, E. E. Ameyaw, E. K. Owusu, E. Pärn, and D. J. Edwards, “Review of application of analytic hierarchy process (AHP) in construction,” Int. J. Constr. Manag., vol. 19, no. 5, pp. 436–452, 2019.
Y. Wu, S.-C. Chen, and I. Lin, “Elucidating the impact of critical determinants on purchase decision in virtual reality products by analytic hierarchy process approach,” Virtual Real., vol. 23, no. 2, pp. 187–195, 2019.
P. Murmu, M. Kumar, D. Lal, I. Sonker, and S. K. Singh, “Delineation of groundwater potential zones using geospatial techniques and analytical hierarchy process in Dumka district, Jharkhand, India,” Groundw. Sustain. Dev., vol. 9, p. 100239, 2019.
M. A. Akbar, A. A. Khan, A. W. Khan, and S. Mahmood, “Requirement change management challenges in GSD: An analytical hierarchy process approach,” J. Softw. Evol. Process, vol. 32, no. 7, p. e2246, 2020.
A. Khoshand, K. Khanlari, H. Abbasianjahromi, and M. Zoghi, “Construction and demolition waste management: Fuzzy Analytic Hierarchy Process approach,” Waste Manag. Res., vol. 38, no. 7, pp. 773–782, 2020.
F. Kazemi, A. Bahrami, and J. A. Sharif, “Mineral processing plant site selection using integrated fuzzy cognitive map and fuzzy analytical hierarchy process approach: A case study of gilsonite mines in Iran,” Miner. Eng., vol. 147, p. 106143, 2020.
L. Lari, F. Jabeen, and S. Iyanna, “Prioritising theme park service quality in Islamic contexts: an analytic hierarchy process approach,” Int. J. Cult. Tour. Hosp. Res., 2020.
O. A. Adebimpe, D. G. Proverbs, and V. O. Oladokun, “A fuzzy-analytic hierarchy process approach for measuring flood resilience at the individual property level,” Int. J. Build. Pathol. Adapt., 2020.
A. D. Tolche, M. A. Gurara, Q. B. Pham, and D. T. Anh, “Modelling and accessing land degradation vulnerability using remote sensing techniques and the analytical hierarchy process approach,” Geocarto Int., pp. 1–21, 2021.
T. Chen and H.-C. Wu, “Assessing the suitability of smart technology applications for e-health using a judgment-decomposition analytic hierarchy process approach,” Health Technol. (Berl)., vol. 10, no. 3, pp. 767–776, 2020.
A. Garg and T. Ganesh, “An analytical hierarchy process approach for COVID-19 risk assessment study amid the latest re-open and unlock phase in India,” Int. J. Anal. Hierarchy Process, vol. 12, no. 3, 2020.
S. Durdyev, S. R. Mohandes, A. Mahdiyar, and S. Ismail, “What drives clients to purchase green building?: The cybernetic fuzzy analytic hierarchy process approach,” Eng. Constr. Archit. Manag., 2021.
H. Sulistiani, K. Muludi, and A. Syarif, “Implementation of Various Artificial Intelligence Approach for Prediction and Recommendation of Personality Disorder Patient,” in Journal of Physics: Conference Series, 2021, vol. 1751, no. 1, p. 12040.
A. Saputra and A. S. Puspaningrum, “SISTEM INFORMASI AKUNTANSI HUTANG MENGGUNAKAN MODEL WEB ENGINEERING (Studi Kasus: Haanhani Gallery),” J. Teknol. dan Sist. Inf., vol. 2, no. 1, pp. 1–7, 2021.
S. D. Riskiono, D. Pasha, and M. Trianto, “Analisis Kinerja Metode Routing OSPF dan RIP Pada Model Arsitektur Jaringan di SMKN XYZ,” SEMNASTEKNOMEDIA ONLINE, vol. 6, no. 1, p. 1, 2018.
C. A. Febrina and D. A. Megawaty, “APLIKASI E-MARKETPLACE BAGI PENGUSAHA STAINLESS BERBASIS MOBILE DI WILAYAH BANDAR LAMPUNG,” J. Teknol. dan Sist. Inf., vol. 2, no. 1, pp. 15–22, 2021.
D. A. Megawaty, Setiawansyah, M. Bakri, and E. Damayanti, “SISTEM MONITORING KEGIATAN AKADEMIK SISWA,” vol. 14, no. 2, pp. 98–101, 2020.
D. F. N. M. Saifullah, “Sistem Pendukung Keputusan,” Sist. Pendukung Keputusan, vol. MESRAN., R, no. 1, pp. 1–3, 2014.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Yuli Ismail, Abhishek Mehta
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
