Application of the TOPSIS Method in the Placement of Measurement Officers at the North Sumatra BPN Regional Office

Abstract

One of the primary obstacles to accelerating the Complete Systematic Land Registration program is the limited number of surveyors who are civil servants within the Ministry of Agrarian Affairs and Spatial Planning/National Land Agency (ATR/BPN). This issue is compounded by placement decisions that are still handled manually and subjectively, often resulting in a mismatch between an employee's competencies and the specific requirements of individual land offices. This study proposes a decision-support model based on the TOPSIS to determine the optimal placement of surveyors within the Regional Office of the National Land Agency for North Sumatra Province. Five criteria were employed: length of service (0.20), educational attainment (0.10), technical surveying competence (0.25), measurement productivity (0.30), and the distance from the employee's residence to the assigned location (0.15, treated as a cost attribute). The TOPSIS method involves normalizing the decision matrix, applying weights, identifying positive and negative ideal solutions, calculating the distances to these solutions, and determining preference values. The analysis yielded the following ranking: A7 > A1 > A3 > A9 > A5 > A10 > A4 > A2 > A8 > A6, with A7 identified as the best option (V = 0.7244). Employees were categorized into three groups based on their placement suitability: Group I (four individuals) for land offices with high workloads and complexity; Group II (four individuals) for offices with moderate workloads; and Group III (two individuals) for offices with lower workloads, where the focus is on skill development. The findings demonstrate that the TOPSIS method provides an objective, transparent, and accountable basis for surveyor placement, in alignment with the principles of a merit-based system.