Innovation of a Deep Learning and Geospatial-Based Mapping and Classification System for Tourism Investment Potential in the Coastal Areas of North Sumatra
Versi Indonesia| REGENCY | Topology and Geography | Environmental Conditions and Sustainability | Accessibility and Infrastructure | Cultural Diversity | Activities and Tourist Attractions | Tourist Market and Segmentation | Local Economic Conditions | Resilience to Climate Change, Tourism Policy | VARIABLE VALUE | Tourism Potential | TOURISM POTENTIAL RANKING |
|---|---|---|---|---|---|---|---|---|---|---|---|
| SERDANG BEDAGAI | 2,957 | 3,646 | 3,343 | 3,421 | 3,757 | 3,757 | 4,043 | 4,109 | 3,561 | HIGH | 1 |
| MEDAN (BELAWAN) | 3,133 | 3,573 | 3,000 | 3,267 | 3,600 | 2,533 | 4,217 | 4,109 | 3,332 | LOW | 3 |
| TAPANULI TENGAH | 3,169 | 3,689 | 3,418 | 3,496 | 3,799 | 3,799 | 4,119 | 4,096 | 3,641 | MEDIUM | 2 |
| SIBOLGA | 3,214 | 3,743 | 3,571 | 3,661 | 3,929 | 2,571 | 4,250 | 4,234 | 3,563 | MEDIUM | 2 |