WEB-BASED ELEMENTARY SCHOOL SELECTION DECISION SUPPORT SYSTEM USING A COMBINATION OF SMART AND TOPSIS METHODS
Abstract
Abstract: Choosing the right elementary school is a crucial milestone for a child's future. However, the large number of school options in Asahan Regency with diverse criteria such as accreditation, facilities, fees, curriculum, and accessibility often makes it difficult for parents. Decision-making tends to be based on subjective word-of-mouth recommendations, which risks triggering bias. This research aims to develop an adaptive and objective web-based elementary school selection Decision Support System (DSS) framework to minimize such bias. The system is designed using a hybrid model that combines the Simple Multi-Attribute Rating Technique (SMART) method as a dynamic criteria weighting engine based on parents' preferences, and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method to rank ten alternative schools. System testing was conducted through black-box testing functionality and empirical accuracy testing using Spearman Rank Correlation involving 40 respondents. The black-box testing results confirmed that all main system operations ran perfectly with a 100% success rate. Validity testing demonstrated very high accuracy, with a Spearman correlation coefficient of 0.89, demonstrating significant alignment between the system's recommendations and actual choices on the ground. Thus, the SMART-TOPSIS framework has proven reliable as a data-driven approach to helping parents choose the best elementary school.
Keywords: decision support system; elementary school; SMART; TOPSIS
Abstrak: Memilih sekolah dasar yang tepat merupakan tonggak awal krusial bagi masa depan anak. Namun, banyaknya pilihan sekolah di Kabupaten Asahan dengan keberagaman kriteria seperti akreditasi, fasilitas, biaya, kurikulum, dan aksesibilitas sering kali menyulitkan orang tua. Pengambilan keputusan pun cenderung didasarkan pada rekomendasi subjektif dari mulut ke mulut, yang berisiko memicu bias. Penelitian ini bertujuan mengembangkan kerangka kerja Sistem Pendukung Keputusan (SPK) pemilihan sekolah dasar berbasis web yang adaptif dan objektif guna meminimalkan bias tersebut. Sistem dirancang menggunakan model hibrida yang mengombinasikan metode *Simple Multi-Attribute Rating Technique* (SMART) sebagai mesin pembobotan kriteria dinamis sesuai preferensi orang tua, serta metode *Technique for Order of Preference by Similarity to Ideal Solution* (TOPSIS) untuk memeringkat sepuluh sekolah alternatif. Pengujian sistem dilakukan melalui uji fungsionalitas *black-box testing* dan uji akurasi empiris menggunakan Korelasi Peringkat Spearman dengan melibatkan 40 responden. Hasil *black-box testing* mengonfirmasi seluruh operasi utama sistem berjalan sempurna dengan tingkat keberhasilan 100%. Uji validitas menunjukkan akurasi sangat tinggi dengan koefisien korelasi Spearman sebesar 0,89, membuktikan keselarasan signifikan antara rekomendasi sistem dan pilihan nyata di lapangan. Dengan demikian, kerangka SMART-TOPSIS ini terbukti andal sebagai pendekatan berbasis data untuk membantu orang tua memilih sekolah dasar terbaik.
Kata kunci: sekolah dasar; sistem pendukung keputusan; SMART; TOPSIS
References
Y. Irawan, “Sistem Pendukung Keputusan Untuk Penilaian Prestasi Belajar Siswa Pada Sekolah Dasar Negeri 167 Pekanbaru Dengan Metode Analytical Hierarchy Process (Ahp),” J. Ilmu Komput., vol. 6, no. 2, pp. 85–90, 2018, doi: 10.33060/jik/2017/vol6.iss2.66.
M. I. Abidi, D. Maharani, and A. Nasution, “TOPSIS Method Implementation For Student Violation Sanctions At SMAN 1 Kisaran,” JURTEKSI (Jurnal Teknol. dan Sist. Informasi), vol. 11, no. 2, pp. 225–232, Mar. 2025, doi: 10.33330/jurteksi.v11i2.3744.
G. S. Mahendra and E. Hartono, “Implementation of AHP-MAUT and AHP-Profile Matching Methods in OJT Student Placement DSS,” J. Tek. Inform. C.I.T Medicom, vol. 13, no. 1, pp. 13–22, 2021.
H. Kurniawan, A. P. Swondo, E. P. Sari, K. Ummi, Yufrizal, and F. Agustin, “Decision Support System to Determine the Student Achievement Scholarship Recipients Using Fuzzy Multiple Attribute Decision Making (FMADM) with SAW,” 2019 7th Int. Conf. Cyber IT Serv. Manag. CITSM 2019, pp. 3–8, 2019, doi: 10.1109/CITSM47753.2019.8965326.
S. A. Saraski et al., “Sistem Pendukung Keputusan Dalam Menentukan Dosen Favorit Menggunakan Metode Profile Matching,” J. Teknol. dan Sist. Inf., vol. 3, no. 1, pp. 46–53, 2022, [Online]. Available: http://jim.teknokrat.ac.id/index.php/JTSI
Resky Kestar, “Sistem Pendukung Keputusan Pemilihan Sekolah Terbaik Di Kota Medan Dengan Menggunakan Metode AHP Berbasis Web,” J. Multimed. dan Teknol. Inf., vol. 3, no. 02, pp. 53–60, 2022, doi: 10.54209/jatilima.v3i02.150.
A. Elia, “Perbandingan Metode SMART, SMARTER dan TOPSIS dalam Pemilihan Lokasi Toko Serba Murah Pulau Kijang: Comparison of SMART, SMARTER AND TOPSIS …,” … Indones. J. …, vol. 1, no. October, pp. 170–176, 2021, [Online]. Available:https://journal.irpi.or.id/index.php/malcom/article/view/140%0Ahttps://journal.irpi.or.id/index.php/malcom/article/download/140/71
A. Putri Inayanti and S. Sitorus, “Analisis Sensitivitas Metode Vikor dan Topsis pada Indeks Pembangunan Manusia di Indonesia,” J. Soc. Sci. Res., vol. 4, pp. 3954–3965, 2024.
Dimasqi Ramadhani and Galandaru Swalaganata, “Analisis Pengujian Sensitivitas Penggunaan Metode Pengambilan Keputusan Profile Matching, Topsis Dan Moora Dalam Menentukan Karyawan Terbaik,” Nuansa Inform., vol. 18, no. 1, pp. 135–145, 2024, doi: 10.25134/ilkom.v18i1.94.
H. Sulistiani, Setiawansyah, A. F. O. Pasaribu, P. Palupiningsih, K. Anwar, and V. H. Saputra, “New TOPSIS: Modification of the TOPSIS Method for Objective Determination of Weighting,” Int. J. Intell. Eng. Syst., vol. 17, no. 5, pp. 991–1003, 2024, doi: 10.22266/IJIES2024.1031.74.
M. R. Al, T. Mustafa, C. Ulfa, and I. Chairunnisa, “ACEH,” vol. 2, no. 2, pp. 71–89, 2025..
