Optimization Strategy for Land Parcel Surveying and Mapping Services at the Land Office of Gorontalo City

Abstract : This study aims to analyze and design an optimization strategy for land parcel surveying and mapping services at the Land Office of Gorontalo City using three key indicators: Goal Indicator, Decision Alternative Indicator, and Resource Constraint Indicator. A qualitative approach with a descriptive-analytical design was employed. Data were collected through in-depth interviews with relevant stakeholders, field observations, and reviews of policy documents and service implementation reports. Data analysis followed the interactive model of Miles and Huberman, including data reduction, data display, and conclusion drawing. A SWOT analysis was also applied. The research findings show that (1) Strategic goals are achieved through the implementation of the 2021 Technical Guidelines, which emphasize risk mitigation, daily monitoring and weekly evaluations, and outreach through both in-person and online channels such as social media and public service applications; (2) Decision alternatives have been implemented, including technology-based service innovations (e.g., the Statif application), the use of modern surveying tools such as GNSS, geospatial information systems, and human resource competency training via PPSDM ATR/BPN; (3) Resource constraints include the limited number of competent personnel, inadequate infrastructure and survey equipment, low public understanding of service procedures, and minimal budget allocation; (4) The optimization strategy is positioned in the SO (aggressive) quadrant, leveraging internal strengths and external opportunities to the fullest. Digital innovation, cross-sector collaboration, and routine evaluation systems are the core components of this strategy. However, due to the balance between strengths and weaknesses, a turnaround approach is also necessary to gradually and sustainably address internal barriers.