Herwanto, Riko and Zaidal, Nisar and Fauzi, Chairani and Yogi, Muhammad (2023) ANDROID GEOTAGGING HAVERSINE ALGORITHM MODEL FOR NEARBY ENVIRONMENTAL CLEANING ROUTE SEARCH. Journal of Universal Computer Science, 20 (21). pp. 74-84.
![[img]](http://repo.darmajaya.ac.id/style/images/fileicons/text.png) |
Text
JUCS-Yogi.pdf Download (1MB) |
|
Text
J.UCS_Publishing_Agreement_V3_2022.pdf Download (238kB) |
Abstract
The environment is a global problem due to too many people, insufficient natural resources, and careless use of nature. Garbage is the leftover stuff that people throw away, and Indonesia's total waste was 65.8 million tons in 2017 and 752 million tons in 2018. This research uses the Haversine algorithm and geotagging to create an app that makes it easier to find trash cans based on the closest route. Distance testing is required to determine the accuracy of calculating distances, and interface testing results use the black box testing method. Data-source direct roles can make applications faster and make it easier for the user to determine the place waste desired by environmental cleaners. The distance calculation using the haversine method is 84% of the actual distance, and the average difference is 112.522 meters
| Item Type: | Article |
|---|---|
| Subjects: | Ilmu Komputer 600 Teknologi - Ilmu terapan > 620 Ilmu Teknik - Engineering |
| Divisions: | Jurnal > Jurnal Ilmu Komputer |
| Depositing User: | Unnamed user with email rikoherwanto@darmajaya.ac.id |
| Date Deposited: | 05 Jul 2023 02:05 |
| Last Modified: | 05 Jul 2023 02:05 |
| URI: | http://repo.darmajaya.ac.id/id/eprint/12172 |
Actions (login required)
 |
View Item |