Pelaksanaan ibadah qurban merupakan ritual penting dalam Islam, di mana pemilihan hewan qurban, khususnya sapi, memiliki peran krusial dalam memastikan kelayakan dan kualitasnya sesuai dengan syariat. Desa Tampalang, proses pemilihan sapi qurban masih dilakukan secara tradisional, yang bergantung pada penilaian subjektif dan kurang sistematis, seringkali menyebabkan ketidakakuratan. Penelitian ini bertujuan mengembangkan Sistem Pendukung Keputusan (SPK) berbasis metode Simple Additive Weighting (SAW) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk pemilihan sapi qurban. Metode SAW digunakan untuk menghitung skor akhir berdasarkan kriteria yang ditetapkan, sementara TOPSIS membantu menentukan peringkat sapi berdasarkan kedekatan dengan solusi ideal. Dalam penelitian ini dilakukan 2 teknik pengujian sistem, yang pertama yaitu pengujian black box yang menguji fungsional sistem dan hasilnya sistem berjalan sesuai fungsinya, kemudian yang kedua pengujian UAT dengan membagikan kuesioner ke 5 responden dan hasil yang didapat sangat bagus yaitu 85,6% sehingga dengan hasil sistem ini dapat digunakan dengan baik dan mampu mengatasi permasalahan dalam proses pemilihan sapi qurban di Desa Tampalang.
The implementation of the qurban ritual is an important practice in Islam, where the selection of the qurban animal, especially cows, plays a crucial role in ensuring its suitability and quality according to Islamic law. In Tampalang Village, the process of selecting qurban cows is still carried out traditionally, relying on subjective assessment and lacking a systematic approach, often leading to inaccuracies. This research aims to develop a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) for selecting qurban cows. The SAW method is used to calculate the final score based on the established criteria, while TOPSIS helps determine the ranking of cows based on their proximity to the ideal solution. In this study, two system testing techniques were conducted. The first is black-box testing, which evaluates the system's functionality, and the results showed that the system works as intended. The second is User Acceptance Testing (UAT), where a questionnaire was distributed to five respondents, and the results were very good, achieving 85.6%. Therefore, the system is deemed effective and can address the issues in the cow selection process for qurban in Tampalang Village.