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Hybrid Decision Support System and Image Processing for Classifying Priority Applications in the Padang Government Agung Ramadhanu; Mardison; Halifia Hendri; Febri Hadi; Dodi Guswandi; Deri Marse Putra; Romi Hardianto; Syafrika Deni Rizki
CSRID (Computer Science Research and Its Development Journal) Vol. 18 No. 1 (2026): Februari 2026
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid-.18.1.2026.178-191

Abstract

The development of e-government has encouraged every Regional Apparatus Organization (OPD) within the Padang City Government to submit various digital applications to improve the quality of public services. However, the large number of applications often creates challenges in determining priorities, primarily due to limited resources and budgets. This research aims to design a Hybrid Decision Support System (DSS) that combines the WASPAS (Weighted Aggregated Sum Product Assessment) method and the development of the K-Means Clustering method to provide a more objective and measurable priority classification. The WASPAS method is used to provide a ranking of alternatives based on predetermined criteria, such as urgency of need, service impact, funding availability, and alignment with the regional strategic plan. Next, the K-Means algorithm is applied to group the calculation results into several priority classes, ranging from the most urgent to the least urgent. As an innovation, this research also utilizes image processing techniques to visualize the K-Means classification results, allowing for a more intuitive and easily understood presentation of priority grouping patterns for decision-makers. In this research, data were collected from 52 OPDs within the Padang City Government as a case study. The test results show that the hybrid DSS approach combining WASPAS and K-Means successfully produces priority scale classification with an accuracy level of 94.75%, which demonstrates consistency and accelerates the application evaluation process at OPDs. Integration with image processing for visualization of clustering results also successfully helps clarify data interpretation and facilitates analysis. Thus, this system is expected to support more effective, transparent decision-making in accordance with the principles of electronic-based governance in Padang City.
Implementasi Metode Vikor dalam Penerimaan Beasiswa Kurang Mampu pada SMA N 5 Padang Hena Utami Putri Paisal; Febri Hadi; Nurmaliana Pohan
Sistem Pendukung Keputusan dengan Aplikasi Vol 3 No 2 (2024)
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/spk.v3i2.931

Abstract

Metode VIKOR (VIĊĦekriterijumsko KOmpromisno Rangiranje) merupakan teknik pengambilan keputusan multi-kriteria yang cocok untuk seleksi penerima beasiswa karena mempertimbangkan banyak kriteria sekaligus. Dalam penerapannya di SMA N 5 Padang untuk penyeleksian beasiswa kurang mampu, langkah awal adalah mengidentifikasi kriteria penilaian seperti nilai akhir raport, jumlah tanggungan keluarga, kepemilikan rumah, dan penghasilan orang tua. Setelah data dinormalisasi dan bobot kriteria ditentukan, indeks preferensi (S, R, Q) dihitung untuk menentukan peringkat setiap calon. Calon dengan indeks terendah dianggap terbaik dan hasil ini divalidasi sebelum implementasi. Pendekatan VIKOR memastikan keputusan yang efisien, objektif, dan proporsional sesuai kriteria yang ditetapkan.