Penerapan Metode Preference Selection Index untuk Penerima Program Keluarga Harapan di Desa Gunungsari Kabupaten Pandeglang

Authors

  • Riyan Naufal Hays Universitas Serang Raya
  • Siswanto Universitas Serang Raya
  • Yan Mitha Djaksana Universitas Pamulang

DOI:

https://doi.org/10.32493/jiup.v10i2.49023

Keywords:

Decision support, Gunungsari village, MCDM, PKH, PSI

Abstract

The Program Keluarga Harapan (PKH) aims to alleviate poverty and improve access to education and healthcare for underprivileged families in Indonesia. In Gunungsari Village, Mandalawangi Subdistrict, Pandeglang Regency, where most residents are low-income farmers and breeders, PKH faces challenges in accurately identifying eligible recipients due to the limitations of manual selection, which is prone to subjectivity and human error. This study explores the application of the Preference Selection Index (PSI) method to improve the objectivity and accuracy of beneficiary targeting. From 973 households, five were selected as a representative sample for manual validation. Twelve socio-economic indicators were used to assess eligibility. The PSI method systematically calculates preference weights across multiple criteria, including income, employment, housing, assets, and infrastructure access, generating a ranking of the most eligible candidates. The highest score obtained was 3.188, identifying Family C as the top candidate. The method showed strong agreement with expert judgment, as evidenced by a Spearman Rank Correlation of 0.9. These findings suggest that PSI enhances the fairness and efficiency of the PKH selection process and supports its digital transformation. This study offers a replicable model for improving governance and targeting in rural social assistance programs.

References

BPS. (2024). Jumlah Penduduk Miskin (Ribu Jiwa) Menurut Provinsi dan Daerah, 2024. Bps.Go.Id. https://www.bps.go.id/id/statistics-table/2/MTg1IzI=/jumlah-penduduk-miskin-menurut-provinsi.html

Fadhliazis, F., & Husni, A. F. (2023). Analisis Spk Penerima Bansos Pkh Dengan Metode Saw Pada Dinas Sosialdukcapil Provinsi Jambi. Jurnal Informatika, Sistem Informasi Dan Kehutanan (FORSINTA), 2(2), 69–78. https://doi.org/10.53978/jfsa.v2i2.297

Harmaja, O. J., & Hutauruk, M. S. (2021). SISTEM PENUNJANG KEPUTUSAN PENERIMA PROGRAM KELUARGA HARAPAN DENGAN MENGGUNAKAN METODE TOPSIS. Jurnal Teknik Informasi Dan Komputer (Tekinkom); Vol 3 No 2 (2020)DO - 10.37600/Tekinkom.V3i2.134 . https://www.jurnal.murnisadar.ac.id/index.php/Tekinkom/article/view/134

Hasanah, R. (2016). Decision Support System Validation Recipient Program Keluarga Harapan ( PKH ) in Wonosari District using AHP- TOPSIS Method. 5(2), 111–121. https://doi.org/10.20961/its.v5i2.1898

Kementrian Sosial. (2020). Peraturan Menteri Sosial RI No. 5 Tahun 2019 tentang Pengelolaan DTKS.

Laisouw, A., Lutfi, S., & Tempola, F. (2019). Sistem Pendukung Keputusan Pemberian Bantuan Program Keluarga Harapan (Pkh) Pada Orang Miskin Di Kota Ternate Menggunakan Metode Ahp. JIKO (Jurnal Informatika Dan Komputer), 2(1), 34–60. https://doi.org/10.33387/jiko.v2i1.973

Maniya, K., & Bhatt, M. G. (2010). A selection of material using a novel type decision-making method: Preference selection index method. Materials and Design, 31(4), 1785–1789. https://doi.org/10.1016/j.matdes.2009.11.020

Mustofani, D., & Hariyani, H. (2023). Penerapan Uji Korelasi Rank Spearman Untuk Mengetahui Hubungan Tingkat Pengetahuan Ibu Terhadap Tindakan Swamedikasi Dalam Penanganan Demam Pada Anak. Unisda Journal of Mathematics and Computer Science (UJMC), 9(1), 9–13. https://doi.org/10.52166/ujmc.v9i1.4272

Putra, B. S., Sandy, A. F., & Primawati, A. (2022). Sistem Pendukung Keputusan Penerimaan Bantuan PKH Di Kelurahan Depok Menggunakan Metode AHP. JRKT (Jurnal Rekayasa Komputasi Terapan), 2(03), 184–191. https://doi.org/10.30998/jrkt.v2i03.7975

Singh, T., Tejyan, S., Patnaik, A., Chauhan, R., & Fekete, G. (2020). Optimal design of needlepunched nonwoven fiber reinforced epoxy composites using improved preference selection index approach. Journal of Materials Research and Technology, 9(4), 7583–7591. https://doi.org/10.1016/j.jmrt.2020.04.101

Towaiq, A., Obaidat, S., Mumani, A., & Ziout, A. (2023). An application of the preference selection index decision making method for parameters selection of FDM printing process. Journal of Engineering Research, October, 0–6. https://doi.org/10.1016/j.jer.2023.11.010

Vahdani, B., Mousavi, S. M., & Ebrahimnejad, S. (2014). Soft computing-based preference selection index method for human resource management. Journal of Intelligent and Fuzzy Systems, 26(1), 393–403. https://doi.org/10.3233/IFS-120748

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Published

2025-06-30

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Vol. 10 No. 2 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG

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Copyright (c) 2025 Riyan Naufal Hays, Siswanto, Yan Mitha Djaksana

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