Pemberian Prioritas Bantuan Terhadap Wilayah Potensi Bencana Gempa Bumi Menggunakan Metode Likert dan Weighted Sum Model

Authors

  • Diana Rendrarini Universitas Merdeka Madiun
  • Pradityo Utomo Universitas Merdeka Madiun
  • Dwi Nor Amadi Universitas Merdeka Madiun
  • Candra Budi Susila Universitas Merdeka Madiun

DOI:

10.51519/journalcisa.v6i1.630

Keywords:

priority, aid recipients, earthquake disaster, Weighted Sum Model, Likert

Abstract

Earthquakes are one of the natural disasters that frequently occur in several regions of Indonesia. The government can map in advance the areas that are prone to earthquakes. The results of this mapping can serve as a reference for prioritizing aid distribution to regions with high earthquake disaster potential. This study utilizes the Weighted Sum Model (WSM) to map the priority areas for government aid distribution. The WSM method provides an output ranking regions from high priority to low priority. Several criteria are considered, including the number of exposed populations, the number of disabled individuals, the number of impoverished residents, the number of vulnerable age groups, and the class of exposed populations. Since the exposed population class is non-numeric data, this study employs the Likert method to convert it into numeric data. In addition to criteria, this study also utilizes alternative data, specifically the names of sub-districts in Pacitan Regency, East Java. The combination of the Likert and WSM methods helps in recommending regions with earthquake disaster potential as priority aid recipients. The most prioritized region for receiving aid is Tulakan Sub-district, Pacitan Regency, East Java. Based on WSM calculations, Tulakan Sub-district has the highest WSM final score of 26,642.35, making it the top-priority region compared to others.

References

Pemerintah Kabupaten Pacitan, “Kajian Risiko Bencana Kabupaten Pacitan 2022-2026,” 2022.

P. Utomo and D. N. Amadi, “Pemilihan Tanaman Pangan Untuk Ketahanan Pangan Masa Pandemi Dengan Simple Additive Weighting Di Kabupaten Madiun,” Fountain Informatics J., vol. 5, no. 3, p. 12, 2020, doi: 10.21111/fij.v5i3.4924.

A. Y. Sari, N. Faozi, and S. R. Cholil, “Sistem Pendukung Keputusan Menentukan Prioritas Rehabilitasi dan Rekonstruksi Pasca Bencana Alam Menggunakan Metode PROMETHEE II,” J. Tekno Kompak, vol. 18, no. 2, p. 355, 2024, doi: 10.33365/jtk.v18i1.3883.

Y. P. Utomo, M. Orisa, and D. Rudhistiar, “Sistem Pendukung Keputusan Penerima Bantuan Korban Bencana Alam Gempa Menggunakan Metode Analitical Hierarchy Process (AHP) Berbasis Web (Studi Kasus?: Desa Kekait),” vol. 7, no. 5, pp. 2983–2990, 2023.

Y. J. Hadrianti A and F. Wajidi, “Sistem Pendukung Keputusan Penerima Bantuan Bencana Alam Menggunakan Metode Topsis (Studi Kasus: Kantor Badan Penanggulangan Bencana Daerah (BPBD) Kabupaten Majene),” J. Inform. dan Komput., vol. 185, no. 2, pp. 185–194, 2023, doi: 10.35508/jicon.v11.i2.11178.

M. D. Saragih, H. S. Tambunan, and R. Dewi, “Analisa Metode Weighted Sum Model (Wsm) Penerima Kartu Indonesia Pintar (Kip) Kepada Siswa/I Di Sd (Sekolah Dasar),” in KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer), 2019, vol. 3, no. 1, pp. 582–587, doi: 10.30865/komik.v3i1.1663.

S. Shopalazuli, B. Baihaqi, and E. Erdiwansyah, “Sistem Informasi Pengambilan Keputusan Penerima Rehab Rumah Menggunakan Metode Weighted Sum Model (WSM) Pada Desa Bira Lhok Kecamatan Montasik,” J. Nas. Komputasi dan Teknol. Inf., vol. 4, no. 6, pp. 405–414, 2021, doi: 10.32672/jnkti.v4i6.3556.

M. Yetri, “Sistem Pendukung Keputusan Untuk Menentukan Penerima Bantuan RSRTLH Menggunakan metode Weight Sum Model (WSM) pada Desa Tanjung Garbus 1 Kecamatan Lubuk Pakam,” J. SAINTIKOM (Jurnal Sains Manaj. Inform. dan Komputer), vol. 19, no. 1, p. 100, 2020, doi: 10.53513/jis.v19i1.230.

M. Purba, M. Marsono, and R. Mahyuni, “Menentukan Rujukan Rumah Sakit Terbaik Bagi Pasien BPJS Menggunakan Metode Weighted Sum Model (WSM) Pada Puskesmas,” Jurasik (Jurnal Ris. Sist. Inf. dan Tek. Inform., vol. 3, no. 3, p. 103, 2018, doi: 10.30645/jurasik.v3i0.70.

Rochidajah and P. Utomo, “Penentuan Prioritas Penerima Bantuan Fisik Gedung Sekolah Menengah Atas di Kabupaten Madiun Jawa Timur dengan Metode Weighted Sum Model,” J. Inf. Technol. Ampera, vol. 3, no. 3, pp. 2774–2121, 2022.

R. S. Saragih, I. Purnama, and D. Manalu, “Tingkat Kepuasan Pelayanan Sales di PT. Sutan Indo Aneka Mobil Menggunakan Metode Weighted Sum Model (WSM),” Bull. Inf. Technol., vol. 4, no. 1, pp. 121–129, 2023, doi: 10.47065/bit.v4i1.523.

Permata and A. L. Kalua, “Rekomendasi Penentuan Siswa Berprestasi Dengan Menggunakan Metode Pembobotan PIPRECIA dan Weighted Sum Model,” vol. 2, no. 2, pp. 96–105, 2024.

S. M. Samuri, H. A. Ghani, B. Rahmatullah, and N. S. A. Aziz, “Sistem sokongan keputusan untuk menilai dan memantau prestasi guru: kajian rintis di SMK Bachok, Kelantan,” J. ICT Educ., vol. 3, no. 1, pp. 55–72, 2016.

F. R. Naibaho, “Sistem Pendukung Keputusan Dalam Penentuan Dosen Terbaik Di IAKN Tarutung Dengan Menggunakan Kombinasi Metode Likert dan Metode VIKOR,” in Seminar Nasional Sains & Teknologi Informasi (SENSASI), 2019, vol. 2, no. Tantangan & Peluang di Bidang Pendidikan untuk Menghadapi Era Disrupsi pada Teknologi RI 4.0, pp. 400–405.

D. Fransiska, “Sistem Pendukung Keputusan Menentukan E-Commerce Terbaik Menggunakan Metode Weighted Product,” PROSISKO J. Pengemb. Ris. dan Obs. Sist. Komput., vol. 10, no. 1, pp. 41–48, 2023, doi: 10.30656/prosisko.v10i1.5957.

Desyanti, Mesran, and E. W. Ambarsari, “Implementasi Metode Simple Additive Weighting (SAW) untuk Sistem Pendukung Keputusan Pemilihan Dosen Favorit Mahasiswa,” J. Informatics Manag. Inf. Technol., vol. 4, no. 3, pp. 92–97, 2024.

P. Utomo, A. Budiman, and D. N. Amadi, “Optimasi Metode Simple Additive Weighting Menggunakan Skala Likert dalam Aplikasi Pemilihan Peserta Rapat Bersih Dusun,” J. Comput. Inf. Syst. Ampera, vol. 4, no. 3, pp. 141–156, 2023.

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Published

2025-01-30

How to Cite

Rendrarini, D., Utomo, P., Amadi, D. N., & Susila, C. B. (2025). Pemberian Prioritas Bantuan Terhadap Wilayah Potensi Bencana Gempa Bumi Menggunakan Metode Likert dan Weighted Sum Model . Journal of Computer and Information Systems Ampera, 6(1), 1–14. https://doi.org/10.51519/journalcisa.v6i1.630

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