TOURISM COMPETITIVENESS ANALYSIS USING COMPETITIVENESS MONITOR METHOD (CASE STUDY: MALINO HIGHLAND AND MALINO PINE FOREST)

• Main Author: Sriwulandari, Masfirah
• Format: Theses
• Language: Indonesia
• Subjects: Produksi
• Online Access: https://digilib.itb.ac.id/gdl/view/87535
• Institution: Institut Teknologi Bandung

Gowa Regency has tourism potential that is able to compete in South Sulawesi. This is emphasized through the vision of Gowa Regency to become one of the three main contributors in strengthening the competitiveness of South Sulawesi tourism at the national and international levels. Measuring tourism competitiveness requires a comprehensive review, considering that tourism is a system consisting of various interrelated elements. This study aims to identify tourism characteristics and measure the tourism competitiveness index in Gowa Regency. The methods used include qualitative, quantitative, and spatial descriptive analysis. Qualitative descriptive analysis is used to explain the characteristics of tourism system elements. Spatial analysis, in the form of overlay analysis, is used to describe the spatial distribution of tourism competitiveness. While quantitative descriptive analysis is applied to measure tourism competitiveness using the Competitiveness Monitor method. Data collection was carried out through field observations and literature reviews. The results of the analysis show that the characteristics of Gowa Regency tourism are formed from its history as a great kingdom and the unique natural beauty of the mountains in South Sulawesi, which are able to attract tourists. This potential is strengthened by external subsystems, such as supportive natural conditions, demographic bonuses, technological advances, socio-cultural wealth, economic stability, and tourism policies that encourage the development of this sector. The results of the measurement of tourism competitiveness in Gowa Regency show that Malino Highland excels in five indicators, namely Human Tourism Indicator (HTI), Price Competitiveness Indicator (PCI), Infrastructure Development Indicator (IDI), Human Resources Indicator (HRI), and Social Development Indicator (SDI). Meanwhile, Malino Pine Forest excels in three indicators, namely Environment Indicator (EI), Technology Advancement Indicator (TAI), and Openness Indicator (OI).