MOBILE-BASED LAUNDRY ORDERING SYSTEM WITH OPENSTREETMAP INTEGRATION FOR CUSTOMER COORDINATE CAPTURE
DOI:
https://doi.org/10.47652/metadata.v8i2.1056Keywords:
Laundry service, Customers, OpenStreetMap, Digital map, Customer coordinatesAbstract
Advances in information technology have driven digital transformation across various service sectors, including the laundry industry. Conventional laundry services still face a number of challenges, such as inefficient ordering processes, difficulties in accurately determining customer locations, and the lack of an integrated service monitoring system. This study aims to develop a mobile-based laundry ordering information system that utilizes OpenStreetMap to obtain accurate, real-time customer coordinates. The developed system allows customers to place orders online, specify pickup locations via a digital map, and monitor service status in real time. Meanwhile, service providers can optimize pickup and delivery processes based on location data obtained from the system. The results indicate that the developed system enhances operational efficiency, location accuracy, and service quality. The integration of OpenStreetMap provides flexibility in managing open geospatial data and supports the development of large-scale systems. Additionally, this system adopts the concept of location-based services, which aligns with current mobile technology trends.
References
Barron C, Neis P, dan Zipf A. (2014). A ComprehensiveFramework for Intrinsic OpenStreetMap Quality Analysis. Transactions in GIS, Volume 18
Bennett, Jonathan. (2010). OpenStreetMap – Be Your Own Cartographer. Birmingham: Packt Publishing.
Humanitarian OpenStreetMap Team. 2015. Modul Pelatihan OpenStreetMap. Jakarta
Santosa, Purnama. 2012. Penatakelolaan dan Berbagi Data dan Informasi Geospasial Komunitas dengan OpenStreetMap dan JOSM Editor. Yogyakarta
Haklay, Muki dan Weber. 2008. OpenStreetMap (OSM): Usergenerated street maps. Journal of Pervasive Computing IEEE University College of London
Adeline, 2017, “Perancangan Sistem Informasi Geografis Daerah Banjir Di Dki Jakarta Dengan Menggunakan Arc View”. Depok: Jurusan Teknik Informatika Universitas Gunadarma.
Raharjo, N. E., & Armi, L. E. (2021). Pengembangan modul pembelajaran pembuatan peta batas kota Yogyakarta menggunakan aplikasi arcgis online
Arsanjani,JJ., A. Zipf, P. Mooney, danM. Helbich. 2015.OpenStreetMap in GIScience: Experiences, Research, and Applications.London: Springer. doi:10.1007/978-3-319-14280-7
Cui, H., L. Wu, S. Hu, danR. Lu. 2021. "Measuring the Service Capacity of Public Facilities Based on a dynamic Voronoi Diagram." Remote Sens13 (1027). doi:https://doi.org/10.3390/rs13051027.
Vu, DM., J.Stoler, AL. Rothman, danTC. Chang. 2020. "A Service Coverage Analysis of Primary Congenital Glaucoma Care Across the United States." American Journal of Ophthalmology112-119. doi:https://doi.org/10.1016/j.ajo.2020.12.009
P. A. W and A. Ibrahim, “Penerapan Rumus Haversine Dalam Pencarian Produk Terdekat Berbasis Google Map API,” Pros. Annu. Res. Semin. 2017, vol. 3, no. 1, pp. 145–148, 2017.
C. A. Pamungkas, “Aplikasi Penghitung Jarak Koordinat Berdasarkan Latitude Dan Longitude Dengan Metode Euclidean Distance Dan Metode Haversine,” J. Inf. Politek. Indonusa Surakarta, vol. 5, no. 2, pp. 8–13, 2019.
I. Irwan and D. Atmajaya, “Sistem Informasi Pencarian Lokasi Perguruan Tinggi Di Makassar,” Ilk. J. Ilm., vol. 10, no. 2, pp. 232–236, 2018, doi: 10.33096/ilkom.v10i2.251.232-236.
Rizqi, A. A. (2017). Aplikasi Antar Jemput Laundry Menggunakan Google Maps Api. Ariq Aji Rizqi. Retrieved from shorturl.at/cloxT
IEEE, "Mobile Computing and Communication Review," IEEE, 2023
K. C. Laudon and J. P. Laudon, Management Information Systems, 16th ed., Pearson, 2023.
OpenStreetMap Foundation, "OpenStreetMap Documentation," 2023
JOSM Team, "Java OpenStreetMap Editor Documentation," 2023.
M. Haklay and P. Weber, “OpenStreetMap: User-generated street maps,” IEEE, 2008
