Web-Based Decision Support System for Selecting Exemplary Teachers using TOPSIS Method
Abstract
This study creates an online Decision Support System (DSS) using the TOPSIS algorithm to fairly choose outstanding teachers from vocational schools in Bekasi City, which has 87 state and private vocational secondary schools with about 62,000 students. To tackle the current biased selection process, our research uses a multi-criteria approach that looks at discipline (25%), travel costs (20%), personality (20%), teaching administration (15%), and learning achievements (20%). Targeting this substantial educational population, our research addresses the current subjective selection process by implementing a multi-criteria approach evaluating discipline (25%), travel costs (20%), personality (20%), teaching administration (15%), and learning achievements (20%). The TOPSIS method was selected for its proven effectiveness in ranking alternatives based on geometric distance from ideal solutions, particularly valuable in large-scale educational contexts. Analysis of 14 teacher candidates from SMK Bina Karya Mandiri demonstrated the system's precision, with Didi Saputra, S.Pdi, emerging as top-ranked (preference value: 0.63). When extrapolated to Bekasi's 87 SMKs, the model shows potential to standardize teacher assessment citywide, reducing regional disparities in recognition practices. The web-based platform enhances accessibility, allowing principals across 21 sub-districts to input localized data while maintaining centralized benchmarking. Key findings reveal (1) discipline and personality collectively account for 45% of exemplary status determination, (2) cost-related factors show inverse correlation with remote school nominations, and (3) system implementation could reduce selection time by ≈68% compared to manual methods. This study contributes both a scalable framework for educational DSS and empirical data on vocational teacher excellence criteria in urban Indonesia.
Keywords
Full Text:
PDFReferences
R. R. S. and D. Naibaho, “Function of schools,” Pediaqu: Jurnal Pendidik. Sos. dan Hum., vol. 13, no. 1, pp. 104–116, 2023.
M. Ainscow, “Promoting inclusion and equity in education: lessons from international experiences,” Nord. J. Stud. Educ. Policy, vol. 6, no. 1, pp. 7–16, 2020, doi: 10.1080/20020317.2020.1729587.
A. Somech and A. Drach-Zahavy, “Schools as team-based organizations: A structure-process-outcomes approach,” Gr. Dyn., vol. 11, no. 4, pp. 305–320, 2007, doi: 10.1037/1089-2699.11.4.305.
N. Neliwati, Z. Surion, R. Rinald, and Y. Tamiang, “Decision making and improving the quality of education at SMK negeri 2 binjai,” J. Guru Kita PGSD, vol. 6, no. 2, pp. 169–179, 2022, doi: 10.24114/jgk.v6i2.31650.
J. Khoirunnisa Anggraini and M. Orisa, “Sistem pendukung keputusan pemilihan guru terbaik dengan metode topsis berbasis web (studi kasus sman 1 kuaro),” JATI (Jurnal Mhs. Tek. Inform., vol. 6, no. 2, pp. 1009–1015, 2023, doi: 10.36040/jati.v6i2.5422.
L. H. Marwa Sulehu, “Sistem pendukung keputusan penilaian desa terbaik menggunakan metode additive ratio assessment (aras),” Simtek J. Sist. Inf. dan Tek. Komput., vol. 4, no. 1, pp. 32–39, 2019, doi: 10.51876/simtek.v4i1.42.
P. Gayatri, H. Ruminar, and A. P. Lintangsari, “Students’ perceptions of an exemplary online esp teacher: a mixed-methods study,” Inspiring English Educ. J., vol. 7, no. 2, pp. 300–323, 2024.
L. T. Saaty, “Competitive priorities and knowledge management: An empirical investigation of manufacturing companies in UAE,” J. Manuf. Technol. Manag., vol. 26, no. 6, pp. 791–806, 2015, doi: 10.1108/JMTM-03-2014-0020.
I. Litvaj, O. Ponisciakova, D. Stancekova, J. Svobodova, and J. Mrazik, “Decision-making procedures and their relation to knowledge management and quality management,” Sustainability, vol. 14, no. 1, Art. no. 572, Jan. 2022, doi: 10.3390/su14010572.
N. Maizura, M. Noor, and N. Ali, “Development of a decision support system for evaluating the competencies of educators,” in International Conference on Education in Mathematics, Science and Technology M (ICEMST), 2023, pp. 12–22.
S. Nasirin, I. A. A. Bahar, N. Mohd. Tuah, A. Kadir, C. Salimun, and S. Yussof, “Examining decision support systems (DSS) verification approaches of the government agencies in east malaysia,” Procedia Comput. Sci., vol. 234, no. 2023, pp. 1546–1552, 2024, doi: 10.1016/j.procs.2024.03.156.
E. Di Matteo, P. Roma, S. Zafonte, U. Panniello, and L. Abbate, “Development of a decision support system framework for cultural heritage management,” Sustain., vol. 13, no. 13, pp. 1–27, 2021, doi: 10.3390/su13137070.
A. J. Prieto, J. M. Macías-Bernal, A. Silva, and P. Ortiz, “Fuzzy decision-support system for safeguarding tangible and intangible cultural heritage,” Sustain., vol. 11, no. 14, pp. 1–12, 2019, doi: 10.3390/su11143953.
D. Yuliana, F. Ayu, I. Mas’ud, F. Hidayat, and S. Alfadri, “Application of Decision support system for employee’s bonus using analytical hierarchy process method,” J. Appl. Eng. Technol. Sci., vol. 4, no. 1, pp. 441–450, 2022, doi: 10.37385/jaets.v4i1.1181.
A. Erwinsyah, J. Chin, W. Pratiwi, A. R. Pautina, and A. Nadjamuddin, “Decision support system using TOPSIS algorithm for teacher selection,” Test Eng. Manag., vol. 81, no. 1329, pp. 1329–1332, 2019.
M. Paul, N. Reinbold, C. Ortiz, and G. Reinhart, “Decision-support system for automotive recycling: disassembling components before shredding?,” Procedia Computer Science, vol. 253, pp. 465–474, Jan. 2025, doi: 10.1016/j.procs.2025.01.108.
P. Agyemang, E. M. Kwofie, J. I. Baum, D. Wang, and E. A. Kwofie, “Environmental-health convergence: A deep learning-oriented decision support system for catalyzing sustainable healthy food systems,” Environ. Model. Softw., vol. 185, Art. no. 106309, Dec. 2024, doi: 10.1016/j.envsoft.2024.106309.
R. A. Nadhifah, Y. M. Arif, H. Nurhayati, and L. S. Angreani, “Performance of multi-criteria recommender system using cosine-based similarity for selecting halal tourism,” Appl. Inf. Syst. Manag., vol. 5, no. 2, pp. 111–116, 2022, doi: 10.15408/aism.v5i2.25035.
G. Wen and F. Ji, “Flood resilience assessment of region based on TOPSIS-BOA-RF integrated model,” Ecological Indicators, vol. 169, Art. no. 112901, Dec. 2024, doi: 10.1016/j.ecolind.2024.112901..
S. Chakraborty, “TOPSIS and modified TOPSIS: A comparative analysis,” Decision Analytics Journal, vol. 2, Art. no. 100021, Dec. 2021, doi: 10.1016/j.dajour.2021.100021..
G. Anand, S. Sardar, S. Sah, A. Guha, and D. Das, “Multi-objective optimization to enhance surface integrity in WEDM for Al-matrix composite: a comparative assessment of self-weight adjusting MCDMs and objective weight integrated hybrid TOPSIS methods,” Results in Surfaces and Interfaces, Art. no. 100467, Feb. 2025, doi: 10.1016/j.rsurfi.2025.100467.
J. Barman, B. Biswas, S. S. Ali, and M. Zhran, “The TOPSIS method: Figuring the landslide susceptibility using Excel and GIS,” MethodsX, vol. 13, Art. no. 103005, Oct. 2024, doi: 10.1016/j.mex.2024.103005.
C. D. Petru, R. E. Breaz, S. G. Racz, M. Crenganis, C. E. Gîrjob, and P. Drasovean, “Decision support methodology for the selection of industrial robots using BWM and TOPSIS methods,” Procedia Comput. Sci., vol. 242, pp. 43–50, 2024, doi: 10.1016/j.procs.2024.08.227.
B. Simamora, “Skala likert, bias penggunaan dan jalan keluarnya,” J. Manaj., vol. 12, no. 1, pp. 84–93, 2022, doi: 10.46806/jman.v12i1.978.
R. A. Malik, S. M. Octafia, and V. S. Gunawan, “Easily determining post-study system usability for anime community e-commerce analysis,” Appl. Inf. Syst. Manag., vol. 7, no. 2, pp. 39–44, 2024, doi: 10.15408/aism.v7i2.39352.
M. Madanchian and H. Taherdoost, “A comprehensive guide to the TOPSIS method for multi-criteria decision making,” Sustain. Soc. Dev., vol. 1, no. 1, pp. 1–6, 2023, doi: 10.54517/ssd.v1i1.2220.
M. Hussain, M. M. Ajmal, M. Khan, and H. Saber, “Competitive priorities and knowledge management,” J. Manuf. Technol. Manag., vol. 26, no. 6, pp. 791–806, Jan. 2015, doi: 10.1108/JMTM-03-2014-0020.
K. Gayatri, N. Malap, P. Murugavel, A. Karipot, and T. Prabhakaran, “Precursor boundary layer conditions for shallow and deep convection: inferences from CAIPEEX field measurements over the indian peninsula,” Environ. Res. Commun., 2024, doi: 10.1088/2515-7620/ad78b9.
H. S. K. Veguru, J. Naren, and Y. Singam, “Student’s interest and opinion towards online education,” Procedia Comput. Sci., vol. 233, pp. 590–596, 2024, doi: 10.1016/j.procs.2024.03.248.
P. A. Sunarya, G. I. Marantika, and A. Faturahman, “Management strategy for distributing questionnaires and interview guidelines in the research data collection process,” Aptisi Trans. Manag., vol. 2, no. 2, pp. 104–111, 2018, doi: 10.33050/atm.v2i2.802.
O. Abildgaard Hansen, J. Clemensen, C. P. Beier, J. Barasinski Pedersen, A. C. Smith, and M. Kaas Larsen, “Living with epilepsy in adolescence and young adulthood transitioning from pediatric to adult hospital services: A systematic review and meta-synthesis of qualitative studies,” Epilepsy Behav., vol. 158, Art. no. 109955, Jul. 2024, doi: 10.1016/j.yebeh.2024.109955.
R. A. Ayinselya, “Teachers’ sense of professional identity in Ghana: listening to selected teachers in rural Northern Ghana,” Practice, vol. 2, no. 2, pp. 110–127, 2020, doi: 10.1080/25783858.2020.1831736.
N. Ezhilarasan and C. Vijayalakshmi, “Optimization of fuzzy programming with TOPSIS algorithm,” Procedia Comput. Sci., vol. 172, pp. 473–479, 2020, doi: 10.1016/j.procs.2020.05.144.
M. A. G. Fonseca, L. S. De Faria, and S. R. Lourenço, “Original research article original research article open access selection of energy efficiency industrial projects using topsis method,” Int. J. Dev. Res., vol. 09, no. 03, pp. 26719–26724, 2019.
V. M. M. Siregar, S. Sonang, A. T. Purba, H. Sugara, and N. F. Siagian, “Implementation of TOPSIS algorithm for selection of prominent student class,” J. Phys. Conf. Ser., vol. 1783, no. 1, Feb. 2021, doi: 10.1088/1742-6596/1783/1/012038.
N. Ploskas and J. Papathanasiou, “A decision support system for multiple criteria alternative ranking using TOPSIS and VIKOR in fuzzy and nonfuzzy environments,” Fuzzy Sets Syst., vol. 377, no. December, pp. 1–30, 2019, doi: 10.1016/j.fss.2019.01.012.
S. Sauda and E. P. Agustini, “Implementasi prototype model dalam pengembangan aplikasi smart cleaning sebagai pendukung aplikasi smart city,” MATRIK J. Manajemen, Tek. Inform. dan Rekayasa Komput., vol. 20, no. 1, pp. 73–84, 2020, doi: 10.30812/matrik.v20i1.673.
K. Kurniati, “Penerapan metode prototype pada perancangan sistem pengarsipan dokumen kantor kecamatan lais,” J. Softw. Eng. Ampera, vol. 2, no. 1, pp. 16–27, 2021, doi: 10.51519/journalsea.v2i1.89.
Sumardiono, “Perancangan sistem penilaian (e-result) pegawai dengan model waterfall di universitas XYZ,” TEKNOSAINS J. Sains, Teknol. dan Inform., vol. 8, no. 1, pp. 45–53, Jan. 2021, doi: 10.37373/tekno.v8i1.76.
T. Tuslaela, “The scholarship awarding decision support system uses the topsis method,” J. Ris. Inform., vol. 2, no. 4, pp. 201–206, 2020, doi: 10.34288/jri.v2i4.154.
J. A. Q. Salibat and R. L. Genuba, “Exemplary teacher characteristics, interpersonal reactivity, and organizational climate: A causal model on keeping quality teachers in private educational institutions,” Int. J. Multidiscip. Res., vol. 6, no. 4, pp. 1–29, 2024, doi: 10.36948/ijfmr.2024.v06i04.25767.
L. Bardach, J. V. Rushby, L. E. Kim, and R. M. Klassen, “Using video- and text-based situational judgement tests for teacher selection: a quasi-experiment exploring the relations between test format, subgroup differences, and applicant reactions,” Eur. J. Work Organ. Psychol., vol. 30, no. 2, pp. 251–264, 2021, doi: 10.1080/1359432X.2020.1736619.
D. A. Darmawin and R. S. Oetama, “Teacher performance evaluation decision support system using simple additive weighting: Case study mentari intercultural school,” G-Tech J. Teknol. Terap., vol. 7, no. 2, pp. 554–562, 2023, doi: 10.33379/gtech.v7i2.2327.
DOI: https://doi.org/10.15408/aism.v8i1.45488
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
EDITORIAL ADDRESS:
Department of Information Systems, Faculty of Science and Technology,
Universitas Islam Negeri (UIN) Syarif Hidayatullah Jakarta
Faculty of Science and Technology Building, 3rd Floor, 1st Campus, Universitas Islam Negeri (UIN) Syarif Hidayatullah Jakarta
Jl. Ir. H. Juanda No. 95, Ciputat Timur, Kota Tangerang Selatan, Banten 15412, Indonesia.
Tlp/Fax: +622174019 25/+62217493315.
E-mail: aism.journal@apps.uinjkt.ac.id, Website: https://journal.uinjkt.ac.id/index.php/aism
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Applied Information System and Management (AISM) | E-ISSN: 2621-254 | P-ISSN: 2621-2536
https://journal.uinjkt.ac.id/index.php/aism