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Labor productivity is a critical factor in construction project success as it directly affects time, cost, and work quality. In the Palm Vista Residence housing development project, delays in ground floor structural works indicate suboptimal human resource performance. This study aims to analyze labor productivity levels, identify factors influencing productivity, and formulate strategies to improve productivity in sloof beams, columns, and floor slab works. The research employs a quantitative approach with descriptive-analytical methods through field observations, questionnaires, and interviews. Labor productivity is measured using the work sampling method and the Labour Utilization Rate (LUR), while influencing factors are analyzed using multiple linear regression. Strategy prioritization for productivity improvement is determined using the Analytical Hierarchy Process (AHP). The results show that labor productivity is at a moderate level and is significantly influenced by work experience, managerial aspects, and coordination and planning. The priority strategies include improving worker competence and strengthening project management practices. These findings are expected to provide practical guidance for construction labor management to enhance efficiency and ensure timely project completion.

Business expansion is a strategic step undertaken by companies to increase profitability while broadening their market reach. Hoka Hoka Bento (HokBen) is one of the companies that consistently implements this strategy. This study aims to identify potential locations for new HokBen outlets in Depok City by utilizing Geographic Information Systems (GIS) and spatial analysis. Several parameters were considered, including proximity to commercial and entertainment centers, competitors, educational facilities, public facilities, road networks, population density, banking services, hotels, offices, residential areas, hospitals, existing stores, and places of worship. The analysis was conducted using Euclidean Distance, Buffering, Reclassification, and the Analytical Hierarchy Process (AHP) to determine the priority weights of each criterion. These weights were then integrated through the Weighted Overlay technique to produce a location suitability map. The findings reveal that the most influential factors are commercial and entertainment buildings (0.101), road networks (0.099), and educational facilities (0.092). The resulting suitability map highlights potential areas across Depok City, particularly in zones close to community activity centers. The results demonstrate that GIS-based multicriteria analysis is effective for mapping location suitability and identifying strategic zones for expansion. Therefore, this research contributes to supporting the company’s strategic decision-making through data-driven approaches while also enriching the academic field of business geography and urban planning. In addition, the outcomes can be applied as a reference model for other fast-food chains or retail industries planning spatially optimized expansion strategies in highly competitive urban environments.

This study uses the Fuzzy Analytical Hierarchy Process (FAHP) method to examine the choice of methanol raw material sources at PT XYZ. The procedure of gathering primary and secondary data for this study entails identifying supplier selection criteria, compiling data on criteria and sub-criteria, and compiling information on supplier performance. Results indicated that product quality, price, supply reliability, sustainability, and reputation were important factors in PT XYZ's decision to choose a certain supplier for its methanol raw materials. The relative weight of each criterion and sub-criteria has been computed using the FAHP approach, which aids in assessing possible providers. Additionally, depending on the obtained priority values, supplier rankings are also established. In conclusion, PT XYZ may choose its raw material suppliers for methanol using the FAHP approach effectively. As well as producing more objective and organized outcomes, this strategy aids in lowering decision-making uncertainty and complexity.