Application of the PSI-VIKOR Method in Determining Priorities for Poor Areas Based on Poverty Indicators in Central Java
DOI:
https://doi.org/10.30871/jaic.v9i4.9888Keywords:
Decision Support System (DSS), Normalized Discounted Cumulative Gain (NDCG), Poverty, Preference Selection Index (PSI), VIKORAbstract
Poverty remains a significant challenge in developing countries, including Indonesia. Although the national poverty rate has declined, Central Java still shows relatively high rates. This study aims to identify priority areas in Central Java requiring government intervention to support effective poverty alleviation planning. Data were sourced from the Central Statistics Agency (BPS) of Central Java Province in 2023. A Decision Support System (DSS) approach was applied using the integrated Preference Selection Index (PSI) and VIKOR methods. PSI was used to determine objective criteria weights based on preference variations, while VIKOR ranked regions based on compromise solutions closest to ideal conditions.The ranking results were visualized spatially through a digitization process using QGIS to produce thematic maps. Analysis showed that Purworejo, Wonogiri, and Batang are high-priority regencies, whereas Semarang City, Banyumas, and Kendal have relatively stable socio-economic conditions. Validation using the Normalized Discounted Cumulative Gain (NDCG) method yielded a score of 0.9268, indicating strong alignment with historical data. These findings confirm the effectiveness of the PSI–VIKOR approach in supporting data-driven poverty alleviation strategies. The novelty of this study lies in the integrated application of PSI–VIKOR for spatial poverty prioritization, which has not previously been implemented in the Indonesian context.
Downloads
References
[1] A. S. Rizalitaher and C. Bisri, “Determining the Community’s Poverty Level Using the MOORA Method,” J. IPTEK Bagi Masy., vol. 3, no. 1, pp. 34–46, 2023.
[2] E. Syahrani, “Analisis Faktor-Faktor yang Mempengaruhi Tingkat Kemiskinan Kabupaten/Kota di Jawa Tengah,” Geodika J. Kaji. Ilmu dan Pendidik. Geogr., vol. 5, no. 2, pp. 247–258, 2021, doi: 10.29408/geodika.v5i2.4033.
[3] Syaharuddin, E. Pujiana, I. P. Sari, V. M. Mardika, and M. Putri, “Analisis Algoritma Back Propagation Dalam Prediksi Angka Kemiskinan Di Indonesia,” CESS (Journal Comput. Eng. Syst. Sci., vol. 4, no. 2, pp. 198–207, 2019, [Online]. Available: https://jurnal.unimed.ac.id/2012/index.php/cess/article/view/13601/pdf
[4] T. Agus Triono and R. C. Sangaji, “Faktor Mempengaruhi Tingkat Kemiskinan di Indonesia: Studi Literatur Laporan Data Kemiskinan BPS Tahun 2022,” J. Soc. Bridg., vol. 1, no. 1, pp. 59–67, 2023, doi: 10.59012/jsb.v1i1.5.
[5] M. Melinda, “Faktor-Faktor Penentu Tingkat Kemiskinan Di Jawa Tengah Tahun 2015-2021,” Universitas Islam Negeri Syarif Hidayatullah Jakarta, 2023.
[6] M. Wati, F. Anwar, N. Puspitasari, A. Septiarini, and A. Tejawati, “Analisis Metode ARAS dan WP Dalam Penentuan Prioritas Masyarakat Miskin Berdasarkan Sosial Ekonomi,” J. Sisfoteknika, vol. 13, no. 2, pp. 172–181, 2023, [Online]. Available: http://sisfotenika.stmikpontianak.ac.id/index.php/ST
[7] M. C. Raharja and Lestari Unik, “Analisis Ketimpangan Ekonomi Antarwilayah di Provinsi Jawa Tengah Sebelum Omnibus Law Cipta Kerja Mahardhika Cipta Raharja, Unik Lestari,” OECONOMICUS J. Econ., vol. 6, no. 2, pp. 86–101, 2022, [Online]. Available: http://jurnalfebi.uinsby.ac.id/index.php/oje
[8] S. N. Mayasari and J. Nugraha, “Implementasi K-Means Cluster Analysis untuk Mengelompokkan Kabupaten/Kota Berdasarkan Data Kemiskinan di Provinsi Jawa Tengah Tahun 2022,” KONSTELASI Konvergensi Teknol. dan Sist. Inf., vol. 3, no. 2, pp. 317–329, 2023, doi: 10.24002/konstelasi.v3i2.7200.
[9] R. Panggabean and N. A. Hasibuan, “Penerapan Preference Selection Index (PSI) Dalam Sistem Pendukung Keputusan Pengangkatan Supervisor Housekeeping,” Resolusi Rekayasa Tek. Inform. dan Inf., vol. 1, no. 2, pp. 85–93, 2020, doi: 10.30865/resolusi.v1i2.70.
[10] S. TO, Y. Andriyani, and I. Daqiqil Id, “Aplikasi Metode VIKOR untuk Menentukan Penerimaan Proposal Kegiatan Desa,” J. Komput. Terap., vol. 8, no. 2, pp. 336–345, 2022, doi: 10.35143/jkt.v8i2.5443.
[11] A. M. Yunita, A. H. Wibowo, R. Rizky, and N. N. Wardah, “Implementasi Metode SAW Untuk Menentukan Program Bantuan Bedah Rumah Di Kabupaten Pandeglang,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 5, no. 3, pp. 197–202, 2023, doi: 10.47233/jteksis.v5i3.835.
[12] S. W. Sari and B. Purba, “Sistem Pendukung Keputusan Pemilihan Ketua Danru Terbaik Menggunakan Metode ARAS,” Semin. Nas. Teknol. Komput. Sains, pp. 291–300, 2019.
[13] J. S. D. Raharjo, A. Afrizal, and U. Novitasari, “Sistem Pendukung Keputusan Pemberian Pinjaman Koperasi Menggunakan Metode AHP-TOPSIS,” J. Tren Bisnis Glob., vol. 1, no. 2, p. 110, 2021, doi: 10.38101/jtbg.v1i2.427.
[14] A. M. Hamda Alhammadi , Meera Alghailani , Naema Alkhzaimi , Dana Alsuwaidi, “Multi-criteria decision-making methods for selecting the best energy storage systems in arid regions,” Energy Reports, 2025.
[15] H. T. Mohammed Said Obeidat*, Tarek Qasim, “The implementation of the preference selection index approach in ranking water desalination technologies,” Desalin. Water Treat., 2021.
[16] F. F. L. A et al., “Valuation of Real Estate Investment Trusts using the PSICoCoSo Multicriteria Method,” Procedia Comput. Sci., 2024.
[17] S. R. C. Muhammad Nanang Khilmi Wibowo1, “Analisis Penanganan Bencana Di Kota Semarang 2024 Menggunakan Metode Ahp Dan Vikor,” vol. 30, pp. 82–91, 2025.
[18] J. K. A and M. Z. B. b , Alessio Ishizaka a,*, “Enhancing multi-criteria inventory classification: Resolving boundary issues with VIKOR-Fuzzy Sorting,” Int. J. Prod. Econ., 2025.
[19] R. S. M. A, D. I. P. B, C. , Ade Gafar Abdullah b, M. A. S. D, C. Dadang Lukman Hakim b, and Topan Setiadipura e, “Developing a Multi-Criteria Decision-Making model for nuclear power plant location selection using Fuzzy Analytic Hierarchy Process and Fuzzy VIKOR methods focused on socio-economic factors,” Clean. Eng. Technol., 2024.
[20] K. Artika, M. Iqbal, Z. Sitorus, A. Putera, and U. Siahaan, “Analysis Of The Level Of Effectiveness Of The Independent Campus Merdeka Learning Program ( MBKM ) Using Methodspreference Selection Index ( PSI ) And Vikor Method,” vol. 3, no. 3, pp. 205–215, 2024.
[21] R. A. Hidayatullah Al Islami and Perani Rosyani, Penerapan Metode Vlsekriterijumska Optimizacija I Kompromisno Resenje (Vikor) Dan Preference Selection Index (Psi) Di Dalam DSS. 2024.
[22] F. I. D. Susanti and A. Supriyanto, “Implementasi Metode SAW-AHP Dalam Penentuan Prioritas Penerima Bantuan Sosial Kemiskinan Berdasarkan Kriteria BPS,” Jutisi J. Ilm. Tek. Inform. dan Sist. Inf., vol. 13, no. 1, p. 234, 2024, doi: 10.35889/jutisi.v13i1.1766.
[23] M. N. D. Satria, “Sistem Pendukung Keputusan Penerimaan Staff Administrasi Menggunakan Metode VIKOR,” J. Artif. Intell. Technol. Inf., vol. 1, no. 1, pp. 39–49, 2023, doi: 10.58602/jaiti.v1i1.24.
[24] D. Wahyudi and T. W. Rejekingsih, “Analisis Kemiskinan Di Jawa Tengah,” Diponegoro J. Econ., vol. 2, no. 1, pp. 1–15, 2013.
[25] A. A. Nurhaliza, S. R. Cholil, S. Informasi, and U. Semarang, “Plantation commodity selection in central java using mabac method and psi weighting,” vol. XI, no. 2, pp. 313–320, 2025.
[26] A. Tanzil Hasibuan, Tugiono, and M. Yetri, “Penerapan Metode Preference Selection Index (PSI) Dalam Perekrutan Tutor,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 1, pp. 394–404, 2022, [Online]. Available: https://ojs.trigunadharma.ac.id/index.php/jsi
[27] D. P. Indini, M. Mesran, and A. Triayudi, “Penerapan Sistem Pendukung Keputusan dalam Penentuan Alat Bantu Media Pembelajaran Fisika Terbaik Menggunakan Metode PSI,” J. Comput. Syst. Informatics, vol. 4, no. 4, pp. 861–871, 2023, doi: 10.47065/josyc.v4i4.3466.
[28] J. Hutagalung, A. Fitri Boy, H. Jaya, and I. Zulkarnain, “Pemberian Beasiswa Kepada Mahasiswa dengan Metode Preference Selection Index (PSI),” J. Sains Komput. Inform. (J-SAKTI, vol. 6, no. 2, pp. 648–660, 2022.
[29] N. Roly Antwo, “Penerapan Metode Vikor Dalam Rekomendasi Pemilihan Susu Gym Terbaik,” J. Sci. Soc. Res., vol. 4307, no. 3, pp. 789–795, 2023, [Online]. Available: http://jurnal.goretanpena.com/index.php/JSSR
[30] H. Tumanggor, M. Haloho, P. Ramadhani, and S. D. Nasution, “Penerapan Metode VIKOR Dalam Penentuan Penerima Dana Bantuan Rumah Tidak Layak Huni,” JURIKOM (Jurnal Ris. Komputer), vol. 5, no. 1, p. 71, 2018, doi: 10.30865/jurikom.v5i1.575.
[31] F. P. Gusti A.P, E. Rimawati, and S. Tomo, “Sistem Pendukung Keputusan Penerima Bantuan Pkh (Program Keluarga Harapan) Dengan Metode Perbandingan Eksponensial,” J. Ilm. SINUS, vol. 21, no. 1, p. 51, 2023, doi: 10.30646/sinus.v21i1.681.
[32] S. P. Lengkong, A. E. Permanasari, and S. Fauziati, “Implementasi Metode VIKOR untuk Seleksi Penerima Beasiswa,” Proc. 7 th Natl. Conf. Inf. Technol. Electr. Eng., vol. 33, pp. 107–112, 2015.
[33] V. Al Fitriani, N. B. Nugroho, and D. H. Pane, “Implementasi Metode Vikor Dalam Memilih Pemanen Buah Kelapa Sawit Terbaik,” J. Sist. Inf. Triguna Dharma (JURSI TGD), vol. 2, no. 2, p. 284, 2023, doi: 10.53513/jursi.v2i2.6267.
[34] R. Akhsani, S. Prayoga, and A. A. Shavira, “Sistem Pendukung Keputusan Pemilihan Lokasi Gudang dengan Metode Vikor Pada PT. ABC Decision Support System Warehouse location selection by VIKOR method at PT. ABC,” vol. 13, no. 2, 2023, [Online]. Available: http://sisfotenika.stmikpontianak.ac.id/index.php/ST
[35] Y. Wang, L. Wang, Y. Li, and T.-Y. Liu, “A Theoretical Analysis of Normalized Discounted Cumulative Gain (NDCG) Ranking Measures,” JMLR Work. Conf. Proc., 2024.
[36] M. Learning et al., “The Indonesian Journal of Computer Science,” vol. 14, no. 2, pp. 2357–2386, 2025.
[37] J. I. Comtech, I. Darmawan, M. N. Arifin, N. Ramadhani, N. Puspa, and P. S. Informatika, “Algoritma Okapi Bm25 Dalam Sistem Pencarian,” vol. 10, no. 1, 2025.
[38] F. Valentino, T. B. Adji, and A. E. Permanasari, “Komparasi Metode Decision Tree dan K-Means Clustering Dalam Mengatasi Masalah Cold-start Pengguna Baru,” Semin. Nas. CITEE, pp. 268–273, 2017.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Kasa Kusuma, Saifur Rohman Cholil
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) ) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
