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All Journal Contemporary Mathematics and Applications (ConMathA) Jurnal Pariwisata Nusantara
Al Paqih, Muhammad Imam
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Materials Science & Nanotechnology Mathematics Social Sciences

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Comparative Analysis of Bellman-Ford and Dijkstra Algorithms to Determine the Shortest Tourist Path in Central Lombok Wardhani, Krissinta Bulan; Karang, Gusti Yoga Nanda; Fajria, Septi; Al Paqih, Muhammad Imam; Hardi, Rida Akausar; Nugroho, M. Setyo; Romdhini, Mamika ujianita
Jurnal Pariwisata Nusantara (JUWITA) Vol. 4 No. 1 (2025): Jurnal Pariwisata Nusantara (JUWITA)
Publisher : PROGRAM STUDI PARIWISATA SYARAH, FAKULTAS EKONOMI DAN BISNIS ISLAM, UNIVERSITAS ISLAM NEGERI MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20414/juwita.v4i1.13155

Abstract

Purpose: Central Lombok Regency has many tourist attractions spread out, which often makes it difficult for tourists to determine the best travel route to visit several locations at once. Choosing the shortest route is an important factor because it can save time, energy, and fuel costs, especially in tourist trips with unstructured schedules. Therefore, an effective method is needed to determine the shortest route to improve the efficiency of tourist trips. This study analyzes the shortest route to tourist attractions in Central Lombok Regency using two popular graph algorithms, including Dijkstra Algorithm and Bellman-Ford Algorithms Method: In this study, the data used are 6 tourist attractions in Central Lombok Regency. Tourist attractions are represented by points on the graph. Then the edge represents the road connecting the tourist attractions and the weight represents the distance to each tourist attraction from a starting point. Then to determine the minimum shortest distance of each tourist attraction based on the graph, Dijkstra and Bellman-Ford algorithms are used. Result: The shortest path to tourist attractions in Central Lombok Regency is obtained based on the Dijkstra and Bellman-Ford Algorithms. Contribution: Through this analysis, the advantages and disadvantages of the two algorithms in the context of determining tourist routes in Central Lombok can be identified.
Analysis of Land Surface Temperature Changes in East Lombok Regency Using the Cloud-Based Platform Google Earth Engine Dani, Ifan Hasnan; Hardi, Rida Alkausar; Al Paqih, Muhammad Imam; Ulfa, Kurnia; Robbaniyyah, Nuzla Af'idatur; Alfian, Muhammad Rijal
Contemporary Mathematics and Applications (ConMathA) Vol. 7 No. 2 (2025)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/conmatha.v7i2.68243

Abstract

This study uses Google Earth Engine, a cloud computing platform, to examine variations in land surface temperature in East Lombok Regency between 2010 and 2020. This study uses MODIS satellite data and is analyzed using Google Earth Engine by adapting a mathematical method—namely, the Random Forest Algorithm from discrete mathematics. According to the results, the temperature increased from its lowest point in 2010 (14.32°C) to its maximum point in 2020 (36.19°C), rising to 16.67°C and 37.74°C. Due to residential growth, Wanasaba, Pringgabaya, and Sambelia saw the biggest increases. Comprehensive temperature monitoring is made possible by Google Earth Engine, which facilitates the effective processing of large-scale spatial data. These results offer a scientific foundation for policy decisions and are essential for environmental management and climate change mitigation. In addition to supporting environmental monitoring initiatives, this study provides a reference for related studies in other areas dealing with issues related to land use and climate change. This research is important for the Central Lombok government as a basis for mitigation efforts in responding to temperature changes and their implications for land use change.
Co-Authors Dani, Ifan Hasnan Fajria, Septi Hardi, Rida Akausar Hardi, Rida Alkausar Karang, Gusti Yoga Nanda Mamika Ujianita Romdhini, Mamika Ujianita Muhammad Rijal Alfian Nugroho, M. Setyo Robbaniyyah, Nuzla Af'idatur Ulfa, Kurnia Wardhani, Krissinta Bulan