Penerapan Metode Haversine Pada Aplikasi Layanan Perbaikan Kendaraan Berbasis Location Based Service

Abdillah, Algi Muhkamaat; Rianto, Rianto; Kurniati, Neng Ika

doi:10.30595/juita.v7i2.4141

Cited by 4 publications

(6 citation statements)

References 4 publications

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“…Data Mining Using Random … application and the Haversine formula calculation results related to the distance of the tourist location from the user's location. (Abdillah et al, 2019) Picture 5. Operational Hours Information and Tourist Attraction Description…”

Section: Discussionmentioning

confidence: 99%

Implementation of the Haversine Method for the Application of Finding Tourist Attractions in Nanggung District

Fatimah

Ikhsan

Wulandari

2022

pilar

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Traveling is one of the most popular hobbies nowadays. Natural tourist destinations located in the countryside are a choice for travelers. There are several tourist sites located in the country of Bogor, one of which is in the district of Nanggung. Nanggung sub-district is in the region of west Bogor, approximately 60 km from the capital city of Bogor Regency (Cibinong). The location of the Nanggung sub-district has an area of 135.25 km2, located near the foot of Mount Salak, creating a beautiful atmosphere and quite cold air. There are approximately 30 tourist destinations in the Nanggung sub-district. Base mobile application to help tourists determine the nearest destination. This mobile application helps domestic and foreign tourists select the closest tourist sites visited in Nanggung, Bogor Regency. The haversine method used to calculate the distance is the haversine method. The haversine method estimates the distance. Haversine will calculate the distance between the application user and the location of the surrounding tourist points located in the Nanggung sub-district. This study aims to calculate the length of application users to tourist sites. So that users get convenience in determining the closest location from the application user's position.

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Section: Discussionmentioning

confidence: 99%

Implementation of the Haversine Method for the Application of Finding Tourist Attractions in Nanggung District

Fatimah

Ikhsan

Wulandari

2022

pilar

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“…Proses Tabel II. Data dan lingkungan artikel terpilih Referensi Lingkungan Data [14] Syiah Kuala University (Banda Aceh) JSON [15] Samarinda Location-Based Service (LBS) [16] Tangerang Website Kementerian Agama [17] Sukabumi LBS [18] Surabaya Data Aktivitas Parkir [19] Yogyakarta Fact-finding [20] Bogor Observasi [21] Magelang Observasi [22] Bandung Observasi, interview, studi literatur, internet [23] Gunung Merapi Jalur Selo (Magelang) Observasi dan Studi Pustaka [24] Jawa Barat Website Kementerian Agama [25] Yogyakarta Observasi, studi literatur, wawancara [26] Tasikmalaya Observasi [27] Banten Studi literatur, wawancara [28] Bandung Location-Based Service (LBS)…”

Section: Metode Penelitianunclassified

“…Tingkat akurasi tiap algoritma Algoritma Referensi Akurasi Haversine [14], [15], [17], [19], [21], [22], [24], [26], [ Tabel IV. Peran tiap algoritma pada sistem informasi geografis Referensi Algoritma Tugas [14], [16], [26] Haversine Pencarian lokasi tempat terdekat [15], [24] Haversine, Euclidean [17], [22], [25] Haversine Penzonaan dengan radius tertentu [18], [19], [20], [21], [27] Haversine Persebaran lokasi tempat [23] Haversine, Djikstra Penentuan rute terpendek [28] Haversine, Euclidean, Manhattan Perhitungan jarak akurat Dilihat dari Tabel II ternyata sebagian besar penelitian menggunakan observasi dalam pengambilan datanya. Namun, beberapa penelitian menggunakan data yang berasal dari Location Based Services (LBS) yang umumnya menggunakan Maps API dan dengan bantuan Global Positioning System (GPS) untuk mengambil data koordinat pengguna melalui smartphone.…”

Section: Metode Penelitianunclassified

Algoritma Haversine pada Sistem Informasi Geografis: Tinjauan Literatur Sistematis

Hasanah,

Suharso

2023

Nuansa Informatika

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Along with the times, more and more developments are being carried out, starting from the construction of buildings, housing, supermalls, hotels, and so on. More and more buildings cause the order on the earth's surface to change and make more and more roads. Roads are becoming more and more narrow, making it difficult for people to travel to a destination, especially in foreign areas. Departing from this problem, there is anxiety among the people who do not know the distance to their destination, making it difficult to go anywhere. However, with the presence of increasingly developing technology, it can be used as a practical solution to this problem. The technology that can be utilized is called a Geographic Information System (GIS). With the help of the haversine algorithm for distance calculation, GIS provides geographic information on the earth's surface in the form of a system. This review aims to present a comprehensive picture of the accuracy of the haversine algorithm in geographic information systems that is useful for helping these community problems

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“…The distance generated from the product of the starting point sin and the destination point sin is added up by the product of the starting point cos and destination point cos and the longitude difference cos. The result is converted to kilometers after finding across and multiplied by 60 * 1.1515 and multiplied by 1.609344 to produce the distance in kilometers [12].…”

Section: Implementasi Haversinementioning

confidence: 99%

Implementation Location-Based Service (LBS) on Mobile Application for Searching Dormitory

Basri¹,

Hananto²,

Masruroh³

2021

bit-cs

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Abstract—The growth of mobile features, especiallySmartphones at this time can be said to be very developed.Judging from the increasing number of mobile users, theavailability of various mobile features is also growing veryrapidly. In line with these facts, the author aims to create amobile boarding application using Location-Based Service(LBS) technology with the application of the Haversinemethod, making it easier for users to find the closest Dormitory to their place of work with appropriate facilities. Thisapplication is not only to search for Dormitory, it canalso place orders online, this is also an opportunity for themanager or owner of the boarding house to promote their Dormitory. Methods of data collection are done by observation, interviews, literature studies, and documentation. The development of this application system uses the Waterfall method. The final result of this research will create an android-based boarding mobile application that can make it easier for boarding house seekers to search and book boarding houses as well as a means of promotion for boarding house owners and managers.

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Penerapan Metode Haversine Pada Aplikasi Layanan Perbaikan Kendaraan Berbasis Location Based Service

Cited by 4 publications

References 4 publications

Implementation of the Haversine Method for the Application of Finding Tourist Attractions in Nanggung District

Implementation of the Haversine Method for the Application of Finding Tourist Attractions in Nanggung District

Algoritma Haversine pada Sistem Informasi Geografis: Tinjauan Literatur Sistematis

Implementation Location-Based Service (LBS) on Mobile Application for Searching Dormitory

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