Aplikasi Spasial Rekomendasi Wisata Terdekat dengan Metode Haversine Berbasis Mobile

Adil, A.; Dwiputri, Risca Anggraeni; Triwijoyo, Bambang Krismono

doi:10.30812/bite.v4i1.1948

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…Penelitian ini lebih fokus pada pencarian lokasi berbasis android [17]. Penelitian lain yang dilakukan oleh Adil, Ahmat, Dwiputri, Risca Anggraeni, Triwijoyo, Bambang Krismono dengan focus bahasan membangun aplikasi spasial rekomendasi wisata terdekat dengan metode Haversine hanya dalam implementasinya penelitian ini tidak menggunakan Mapbox API dan menekankan pada aplikasi berbasis mobile [9,18].…”

Section: Pendahuluanunclassified

Spatial Implementation of the Harvesine Algorithm in The Mapbox API for Tourism Mapping

Adil,

Triwijoyo

2023

BITe

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Background: Lombok is one of the tourist destinations in West Nusa Tenggara (NTB) Province, which has various kinds of tourist destinations. Before the Covid 19 pandemic, the number of tourist visits to NTB, especially the island of Lombok, increased every year.Objective: This study aimed to implement the haversine algorithm in finding and determining the closest route to tourist destinations on Lombok Island to make it easier for tourists to choose their intended location to make the tourism sector grow again after the impact of covid 19.Methods: Geolocation concept with harvesine algorithm formula.Result: The research results are the output of the Mapbox api implementation application in the form of a geographical map of the island of Lombok by displaying spatial data of tourism locations, as well as the paths traversed to reach the intended tourist sites accompanied by the distance and time needed to reach them. The level of user satisfaction with the applications built is 87,62%.Conclusion: This research results in user satisfaction in finding information, location, and paths that can be reached to tourist sites.

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Section: Pendahuluanunclassified

Spatial Implementation of the Harvesine Algorithm in The Mapbox API for Tourism Mapping

Adil,

Triwijoyo

2023

BITe

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“…This research applies geolocation technology to find the user's location with the nearest tourist area. [12]. The next research is a study conducted by Cabezuelo in 2020 which discusses the use of geolocation in organising passengers from the Airport to the City.…”

Section: Introductionmentioning

confidence: 99%

Geolocation data incorporation in Mapbox for comprehensive mapping of tourism areas on Lombok Island

Hammad,

Irfan,

Mukti

2024

MATRIX

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Lombok Island is one of the islands that has many tourist areas. With so many tourist areas spread to various regions on the island of Lombok, an accurate and comprehensive tourist area mapping system is needed. The problem faced is that the existing mapping is still constrained regarding accuracy and data persistence. The solution offered in this research is the incorporation of geolocation data on the Mapbox platform to improve the accuracy and detail of data in mapping tourism areas on the island of Lombok. In this research, there are several stages carried out starting from data collection to testing. This research results in a tourist area mapping information system that applies geolocation data incorporation on Mapbox. The test results show an increase in accuracy of 8% from the previous mapping and a usability test score of 81 which means that the system developed is acceptable or feasible by users.

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“…Sistem kerja GPS dengan menstransmisikan sinyal dari satelit ke perangkat GPS ataupun smartphone yang sudah memilikifitur GPS. GPS membutuhkan transmisidari 3 satelit untuk mendapatkan informasi dua dimensi (lintang dan bujur), dan 4 satelit untuk 3 dimensi (lintang, bujur dan ketinggian) [14]…”

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Analisis Rancangan Sistem Monitoring Posisi Hewan Menggunakan Lora

Afdhaluddin,

Palingga

2023

josh

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For some people, having a pet can relieve stress or fatigue. There are also people who raise animals to supplement their income. Animals such as cats, cows and goats are animals that are often found in settlements and areas. Usually these animals are released in apartments. Of course, once released, the owner will no longer be able to control his pet. That's why we need a device to control these pets. Based on the above information, it is necessary to have technology that is focused on surveillance systems. This technology uses surveillance devices based on the Internet of Things (IoT). The task of the monitoring device is to retrieve and collect data from the environment being measured. There are main components such as Arduino Nano 328P, NodeMCU ESP8266, LoRa, Ublox NEO-6M Gps and Android. This system has two tools, a transmitter and a receiver. First, the transmitter sets up a TET connection. When the connection is stable, the base station's GPS recovers local information in the form of longitude and latitude. After the data is successfully retrieved, the data is stored and the location is sent to the recipient (LoRa). After receiving the data (LoRa), the receiver will set up the connection first, when the connection is stable, the data received from the transmitter will be sent to the server and displayed on the App. The tool works well at a maximum distance of ±35 meters and if the tool works at a distance of 25-35 meters the coordinate point is still legible but not accurate. If the tool works more than 40 meters then the coordinates will not be read at all. The distance and position of the transmitter can affect the results on the display in the Blynk application and the coordinate points on the Arduino.

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Aplikasi Spasial Rekomendasi Wisata Terdekat dengan Metode Haversine Berbasis Mobile

Cited by 3 publications

References 7 publications

Spatial Implementation of the Harvesine Algorithm in The Mapbox API for Tourism Mapping

Spatial Implementation of the Harvesine Algorithm in The Mapbox API for Tourism Mapping

Geolocation data incorporation in Mapbox for comprehensive mapping of tourism areas on Lombok Island

Analisis Rancangan Sistem Monitoring Posisi Hewan Menggunakan Lora

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