Abstract
This research was conducted due to complaints from several parents regarding the determination of BSM at SDN Karanganyar 02 which still contains subjectivity in its selection so that some students are less fortunate. SDN Karanganyar 02, once a year always carries out activities related to determining the selection of BSM recipients. With this activity, it is hoped that students who are underprivileged but have fairly good achievements can receive this BSM so that the activities they carry out do not feel burdened with financial needs. The fact is that in institutions there are still many students who do not get BSM, even though according to the requirements these students should be eligible to get BSM. So in the selection that occurs there is a very irrational subjectivity. To solve this problem, the researcher tries to make a solution through an application that applies the Weight Aggregated Sum Product Assessment (WASPAS) method, which is a method of determining with predetermined criteria. The criteria in question are activities, achievements, report cards, parental income, home conditions, and parental dependents. After analyzing and implementing the WASPAS Decision Support System, it was found that the results were detrimental to students where the criteria scores and final determination were lower than some other students, but the SD carried out an assessment by obtaining BSM. To prevent this incident from recurring, WASPAS is very capable of answering objective determinations with the results obtained at 79.88% and the previous subjective determination at 20.12%.
References
Sinta M. Panjaitan, S. O. Manik, and A. Fau, “Sistem Pendukung Keputusan Dengan Menerapkan Metode WASPAS Untuk Menentukan Guru Bidang Kesiswaan,” Semin. Nas. Sains Teknol. Inf., pp. 614–619, 2019.
R. Akbar and S. ’Uyun, “Penentuan Bantuan Siswa Miskin Menggunakan Fuzzy Tsukamoto Dengan Perbandingan Rule Pakar dan Decision Tree (Studi Kasus : SDN 37 Bengkulu Selatan),” J. Teknol. Inf. dan Ilmu Komput., vol. 8, no. 4, p. 651, 2021.
D. M. Pagan and M. Syahrizal, “Penerapan WASPAS Dalam Mendukung Keputusan Penerima Beasiswa Mahasiswa Berprestasi,” TIN Terap. Inform. …, vol. 1, no. 1, pp. 8–13, 2020.
K. Ihsan and G. L. Ginting, “Penerapan Metode WASPAS Untuk Menentukan Penerima Beasiswa Pada Perguruan Tinggi Negeri,” TIN Terap. Inform. Nusant., vol. 1, no. 1, pp. 1–7, 2020.
B. Lestari, N. Sri Rejeki, D. Gustian, and M. Muslih, “Penentuan Penerimaan Bantuan Siswa Miskin Menggunakan Analitycal Hierarchy Process,” J. Ris. Sist. Inf. dan Teknol. Inf., vol. 2, no. 3, pp. 32–44, 2020.
N. A. D. Pratiwi, P. Purnawansyah, and H. Darwis, “Sistem Pendukung Keputusan Penerimaan Bantuan Siswa Miskin Menggunakan Metode Moora,” Bul. Sist. Inf. dan Teknol. Islam, vol. 2, no. 3, pp. 131–139, 2021.
Denni M Rajagukguk, “Rekomendasi Penerima Bantuan Siswa Miskin (BSM) dengan Metode Simple Additive Weighting (SAW). Studi Kasus : SMP N 1 Lintongnihuta,” JUKI J. Komput. dan Inform., vol. 1, no. 2, pp. 51–58, 2021.
T. Tundo and D. Kurniawan, “Implementation of the Weighted Aggregated Sum Product Assessment Method in Determining the Best Rice for Serabi Cake Making,” IJID (International J. Informatics Dev., vol. 8, no. 1, p. 40, 2019.
Z. Turskis, N. Goranin, A. Nurusheva, and S. Boranbayev, “A fuzzy WASPAS-based approach to determine critical information infrastructures of EU sustainable development,” Sustain., vol. 11, no. 2, 2019.
D. Stanujkić and D. Karabašević, “An extension of the WASPAS method for decision-making problems with intuitionistic fuzzy numbers: a case of website evaluation,” Oper. Res. Eng. Sci. Theory Appl., vol. 1, no. 1, pp. 29–39, 2019.
S. R. Andani et al., “Application of the MOORA Method for Decision Making in Receiver Foundation Scholarship in AMIK Tunas Bangsa,” J. Phys. Conf. Ser., vol. 1255, no. 1, 2019.
R. Bausys, G. Kazakeviciute-Januskeviciene, F. Cavallaro, and A. Usovaite, “Algorithm selection for edge detection in satellite images by neutrosophic WASPAS method,” Sustain., vol. 12, no. 2, 2020.
A. R. Mishra and P. Rani, “Multi-criteria healthcare waste disposal location selection based on Fermatean fuzzy WASPAS method,” Complex Intell. Syst., vol. 7, no. 5, pp. 2469–2484, 2021.
V. Simić, D. Lazarević, and M. Dobrodolac, “Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade,” Eur. Transp. Res. Rev., vol. 13, no. 1, 2021.
G. S. de Assis, M. dos Santos, and M. P. Basilio, “Use of the WASPAS Method to Select Suitable Helicopters for Aerial Activity Carried Out by the Military Police of the State of Rio de Janeiro,” Axioms, vol. 12, no. 1, 2023.
T. Tundo and W. D. Nugroho, “An Alternative in Determining the Best Wood for Guitar Materials Using MOORA Method,” Int. J. Informatics Dev., vol. 9, no. 1, pp. 37–44, 2020.
S. P. Singh, T. Kundu, A. Adhikari, and S. Basu, “An Integrated Weighting-based Modified WASPAS Methodology for Assessing Patient Satisfaction,” 2020 Int. Conf. Decis. Aid Sci. Appl. DASA 2020, pp. 592–596, 2020.
M. Badalpur and E. Nurbakhsh, “An application of WASPAS method in risk qualitative analysis: a case study of a road construction project in Iran,” Int. J. Constr. Manag., vol. 21, no. 9, pp. 910–918, 2021.
N. K. Daulay, B. Intan, and M. Irvai, “Comparison of the WASPAS and MOORA Methods in Providing Single Tuition Scholarships,” Int. J. Informatics Comput. Sci., vol. 5, no. 1, pp. 84–94, 2021.
J. Ali, Z. Bashir, and T. Rashid, “WASPAS-based decision making methodology with unknown weight information under uncertain evaluations,” Expert Syst. Appl., vol. 168, p. 114143, 2021.
K. Rudnik, G. Bocewicz, A. Kucińska-Landwójtowicz, and I. D. Czabak-Górska, “Ordered fuzzy WASPAS method for selection of improvement projects,” Expert Syst. Appl., vol. 169, 2021.
A. P. Sahida, B. Surarso, and R. Gernowo, “The combination of the MOORA method and the Copeland Score method as a Group Decision Support System (GDSS) Vendor Selection,” 2019 2nd Int. Semin. Res. Inf. Technol. Intell. Syst. ISRITI 2019, pp. 340–345, 2019.
A. Baykasoğlu and İ. Gölcük, “Revisiting ranking accuracy within WASPAS method,” Kybernetes, vol. 49, no. 3, pp. 885–895, 2020.
S. V. B. Manurung, F. G. N. Larosa, I. M. S. Simamora, A. Gea, E. R. Simarmata, and A. Situmorang, “Decision Support System of Best Teacher Selection using Method MOORA and SAW,” 2019 Int. Conf. Comput. Sci. Inf. Technol. ICoSNIKOM 2019, 2019.
D. Kalibatas and Z. Turskis, “Multicriteria Evaluation of Inner Climate by Using MOORA Method,” Inf. Technol. Control, vol. 37, no. 1, pp. 79–83, 2016.
A. Fedajev, D. Stanujkic, D. Karabašević, W. K. M. Brauers, and E. K. Zavadskas, “Assessment of progress towards ‘Europe 2020’ strategy targets by using the MULTIMOORA method and the Shannon Entropy Index,” J. Clean. Prod., vol. 244, 2020.
A. N. Habibi, K. R. Sungkono, and R. Sarno, “Determination of Hospital Rank by Using Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA),” Proc. - 2019 Int. Semin. Appl. Technol. Inf. Commun. Ind. 4.0 Retrosp. Prospect. Challenges, iSemantic 2019, no. 2, pp. 574–578, 2019.
P. Rani, A. R. Mishra, and K. R. Pardasani, “A novel WASPAS approach for multi-criteria physician selection problem with intuitionistic fuzzy type-2 sets,” Soft Comput., vol. 24, no. 3, pp. 2355–2367, 2020.
A. R. Mishra and P. Rani, “Interval-Valued Intuitionistic Fuzzy WASPAS Method: Application in Reservoir Flood Control Management Policy,” Gr. Decis. Negot., vol. 27, no. 6, pp. 1047–1078, 2018.
A. Tuş and E. Aytaç Adalı, “The new combination with CRITIC and WASPAS methods for the time and attendance software selection problem,” Opsearch, vol. 56, no. 2, pp. 528–538, 2019.
T. Tundo and D. Kurniawan, “Penerapan Metode Weighted Aggregated Sum Product Assesment dalam Menentukan Beras Terbaik untuk Pembuatan Kue Serabi,” J. Teknol. Inf. dan Ilmu Komput., vol. 7, no. 4, pp. 773–778, 2020.
S. Manurung, I. M. S. Simamora, and H. Allagan, “Comparison of MOORA, WASPAS, and SAW Methods in Decision Support Systems,” J. Mantik, vol. 5, no. 36, pp. 485–493, 2021.
N. Handayani, N. Heriyani, F. Septian, and A. D. Alexander, “Multi-Criteria Decision Making Using the Waspas Method for Online English Course Selection,” J. Teknoinfo, vol. 17, no. 1, p. 260, 2023.
Tundo and W. D. Nugroho, “An Alternative in Determining the Best Wood for Guitar Materials Using MOORA Method,” IJID (International J. Informatics Dev., vol. 9, no. 1, pp. 37–44, 2020.
T. Tundo and E. I. Sela, “Application of the Fuzzy Inference System Method to Predict the Number of Weaving Fabric Production,” Int. J. Informatics Dev., vol. 7, no. 1, pp. 1–9, 2018.
A. Arisantoso, M. H. Somaida, M. Sanwasih, and M. I. Shalahudin, “Multi-Criteria Decision Making Using the WASPAS Method in Webcam Selection Decision Support Systems,” IJICS (International J. Informatics Comput. Sci., vol. 7, no. 1, p. 1, 2023.
T. Tundo and D. Kurniawan, “Implementation of the Weighted Aggregated Sum Product Assessment Method in Determining the Best Rice for Serabi Cake Making,” Int. J. Informatics Dev., vol. 8, no. 1, pp. 40–46, 2019.
F. Gurbuz and G. Erdinc, “Selecting the Best Hotel Using the Fuzzy-Moora Method with a New Combined Weight Approach,” in ISMSIT 2018 - 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings, 2018, pp. 1–8.
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