This study examines the selection of the optimal camera for the photography and videography service company Assad ID using a combination of the Analytical Hierarchy Process (AHP) method and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The rapid development of the photography industry makes choosing the right camera a crucial factor in improving the quality of service. The weighting of criteria using AHP is based on the evaluation of photography and videography experts, including technical specifications, functional features, economic aspects, comfort, and supporting services. The TOPSIS method is applied to the ranking of five alternative cameras (Sony A7 III, Canon EOS R6, Nikon Z6 II, Panasonic Lumix S5, and Fujifilm X-T4). The results of the study show that technical specifications and functionality features have the highest weight. Sony A7 III ranked first with a preference value of 0.610, followed by Canon EOS R6 (0.581), Fujifilm X-T4 (0.472), Nikon Z6 II (0.401), and Panasonic Lumix S5 (0.368). This study proves the effectiveness of the AHP-TOPSIS method in making optimal camera purchase decisions and can be a reference for similar companies in determining the investment of photography and videography equipment according to operational needs

Selecting the right supplier is a crucial factor in supporting the smooth operation of a company, especially in the natural stone handicraft industry. CV Al-Mariah, located in West Bandung Regency, faces challenges in determining the best raw stone material supplier due to issues such as uncertain supply quantities and delayed deliveries, which disrupt production processes. This study aims to analyze and determine the best supplier using the Analytical Hierarchy Process (AHP) method, processed with Expert choice 11 software. Data were collected through questionnaires distributed to parties directly involved in the raw material procurement process. The results show that among the three supplier alternatives analyzed, Supplier B obtained the highest weight of 0.380, followed by Supplier A with 0.352, and Supplier C with 0.268. Therefore, Supplier B is recommended as the top choice to support the operations of CV Al-Mariah. The AHP method has proven effective in assisting complex decision-making processes by systematically considering multiple criteria.