The Analysis of Decision Support System Design for Uninhabitable House Assistance Recipients Using the MABAC Method in Jambi City
Analysis of Decision Support System Design for Uninhabitable House Assistance Recipients Using the MABAC Method in Jambi City
DOI:
https://doi.org/10.33998/jakakom.2025.5.1.1963Keywords:
Analysis, Design, Decision Support System, MABACAbstract
The Jambi City Housing and Settlement Areas Office in processing data for receiving uninhabitable housing assistance is still using Microsoft Excel. So that there is a problem, namely there are many houses that are classified as Uninhabitable Houses (RTLH) in Jambi City, and determining which ones are eligible for assistance and which ones are not is a time-consuming task and requires proper assessment and errors in assessment can have a bad impact on the efficiency of budget use and inequality in the distribution of aid. Therefore, this study aims to provide a solution to the problems that occur by offering a system to support the decision to receive uninhabitable housing assistance using the MABAC method where the author develops a system with a prototype method and uses a unified model language system model approach using usecase diagrams, activity diagrams, class diagrams and flowcharts. So that the results of the application can be used by can provide the convenience of choosing a decent assistance receipt quickly and precisely.
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References
M. Radja, E. Rio, and K. J. Tute, “Sistem Pendukung Keputusan Penerimaan Bantuan Rumah Tidak Layak Huni Menggunakan Metode Promethee,” Jupiter, vol. 15, pp. 971–982, 2023.
Abduloh and Gunawansyah, “Sistem Pendukung Keputusan Penerima Dana Bantuan Rumah Tidak Layak Huni Menggunakan Metode Multi Attribute Utility Theory (MAUT),” G-Tech J. Teknol. Terap., vol. 6, no. 2, pp. 295–305, 2022.
H. Kriswanti, S. P. A. Alkadri, and I. Fahkruzi, “Sistem Pendukung Keputusan Penerima Bantuan Rumah Layak Huni Menggunakan ROC Dan SAW,” J. Sci. Soc. Res., vol. 6, no. 1, p. 245, 2023, doi: 10.54314/jssr.v6i1.1196.
M. N. Abbas, I. C. R. Drajana, and A. Bode, “Sistem Pendukung Keputusan Bantuan Rumah Rehab Menggunakan Metode Composite Performance Index,” J. Nas. Komputasi dan Teknol. Inf., vol. 5, no. 6, pp. 868–876, 2022, doi: 10.32672/jnkti.v5i6.5152.
D. Nofriansyah and S. Defit, Multi Criteria Decision Making (MCDM) Pada Sistem Pendukung Keputusan. Yogyakarta: CV. Budi Utama, 2017.
A. K. Vadres, R. Turaina, and S. Ardiansyah, “Sistem Penunjang Keputusan Penentuan (Spk) Bantuan Dana Pembangunan Rumah Tidak Layak Huni (Rtlh) Dengan Metode Multi Factor Evoluation Process (Mfep),” J. Teknoif, vol. 6, no. 1, pp. 18–23, 2018, doi: 10.21063/jtif.2018.v6.1.18-23.
Y. I. Purwanti, Budi Serasi Ginting, and Novriyenni, “Sistem Pendukung Keputusan Penerima Bantuan Rumah Tak Layak Huni (RTLH) Di Kota Binjai Dengan Metode Simplemultiple Attribute Rating Technique (SMART) (STUDI KASUS: DINAS SOSIAL BINJAI),” JUKI J. Komput. dan Inform., vol. 3, no. 1, pp. 1–9, 2021, doi: 10.53842/juki.v3i1.39.
W. Yusnaeni and M. Marlina, “MABAC Method Dalam Penentuan Kelayakan Penerima Bantuan SPP,” EVOLUSI J. Sains dan Manaj., vol. 8, no. 1, pp. 46–55, 2020, doi: 10.31294/evolusi.v8i1.7536.
E. B. Barus, “Sistem Pendukung Keputusan Pemilihan Best Employee Dengan Menerapkan Metode MABAC,” TIN Terap. Inform. Nusant., vol. 2, no. 9, pp. 551–557, 2022, doi: 10.47065/tin.v2i9.1028.
F. Laila and N. A. Hasibuan, “Pemilihan Pengangkatan Karyawan Tetap Menerapkan Metode Multi-Attributive Border Approximation Area Comparison,” J. Informatics Manag. Inf. Technol., vol. 1, no. 1, pp. 5–12, 2021.
R. S. Pressman, Rekayasa Perangkat Lunak – Buku Satu, Pendekatan Praktisi (Edisi 9). Yogyakarta: CV. Andi Offset, 2020.
Laila Hairani, “Aplikasi Sistem Pendukung Keputusan Rekomendasi Pengangkatan Karyawan Tetap Menggunakan Metode Topsis Berbasis Web,” J. Inform. dan Rekayasa Perangkat Lunak, vol. 2, no. 2, p. 152, 2021.
