Application of Modified Kruskal Algorithms in Determining Tourism Routes Optimization in Banda Aceh City

Application of Modified Kruskal Algorithms in Determining Tourism Routes Optimization in Banda Aceh City | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Application of Modified Kruskal Algorithms in Determining Tourism Routes Optimization in Banda Aceh City Siti Rusdiana, Irvanizam Irvanizam, T. M. Haikal This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7801465/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Optimizing tourist route planning has practical implications for both visitor experience and urban sustainability. This study presents a degree-constrained, Kruskal-inspired heuristic for constructing a Hamiltonian path that visits each attraction exactly once while minimizing the total road distance. Ten major attractions in Banda Aceh, Indonesia, were modeled as nodes in a weighted graph using pairwise driving distances from Google Maps (collected 5 October 2019–December 2020). The heuristic generated a continuous route of 21.5 km that spans all attractions, outperforming a minimum spanning tree (MST) baseline of 24.3 km. The method was implemented in a web map and an Android prototype to demonstrate practical usability. While computationally efficient and easy to deploy, the approach does not guarantee global optimality. Limitations include distance-only optimization and a single-city evaluation; future work will integrate time-dependent costs and user preferences to enhance the model's effectiveness. Physical sciences/Engineering Physical sciences/Mathematics and computing Full Text Additional Declarations No competing interests reported. Supplementary Files SitiRusdianaID46e00a83eb7b4839bcca77afab289cd2.zip Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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