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Journal : Compiler

PEMANFAATAN GEOFENCE UNTUK MENCARI LOKASI BENGKEL TAMBAL BAN TERDEKAT BERBASIS ANDROID Azzami, Wildan; Kusumaningrum, Anggraini; Sudaryanto, Sudaryanto
Compiler Vol 7, No 1 (2018): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (383.696 KB) | DOI: 10.28989/compiler.v7i1.285

Abstract

The number of vehicles in Indonesia continues to increase every year. It will also be directly proportional to many people who have problems with their vehicles, such as finding a tire leaking from a nail puncture or other causes. And will also increase the need for tire services. For vehicle users who do not know the area around when experiencing leak tire disaster, then directly proportional to search for the nearest tire repair shop will be difficult. Therefore, in this study developed information media in the form of Android-based applications to map the locations - workshop tire repair shop, as well as search for the nearest tire patch based on the location of the rider by using geofence system, where in this application the user will be notified the nearest workshop with a blink on the animated image tire repairs. From the test results, this application is able to help users search for the nearest tire repair shop along with the distance from the user location. This application is also able to show related information as well as showing the distance and route of the road that will be taken from the location of the user with the location of the intended tire patch by utilizing google maps applications. Applications have been tested by questionnaire method distributed to 30 respondents with 10 questions and the results of the questionnaire calculated using the likert scale get 76,2% results and included in either category
Analysis of Combination Knowledge Acquisition of Haar Training for Object Detection on the Viola Jones Method Sajati, Haruno; Kusumaningrum, Anggraini; Hanifah, Nur
Compiler Vol 8, No 2 (2019): November
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (834.874 KB) | DOI: 10.28989/compiler.v8i2.538

Abstract

Viola Jones method uses the file classifier to object detection. The training process to create object classifier file requires very high computer resources and time which is directly proportional to the amount of training data. The amount of training data determines the accuracy of object detection. The long training process is caused because the computer has low specifications and the distribution of Haartraining files will speed up the process of vector file formation, minimize errors when cutting Haar features on positive objects and also minimize errors that occur during the training process. The problems that arise next are how to overcome this so that a better knowledge is obtained. This study provides analysis results of the process of merging knowledge acquisition and its effect on the accuracy of object detection using the Viola-Jones method with the final result undetected object decrease 52.62% and object detected increase 23.78%
SENDING DRONE FLYING SPEED DATA USING ANDROID-BASED CLIENT SERVER METHOD Putra, Daewu Gus Bintara; Kusumaningrum, Anggraini
Compiler Vol 9, No 1 (2020): Mei
Publisher : Sekolah Tinggi Teknologi Adisutjipto Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (552.244 KB) | DOI: 10.28989/compiler.v9i1.666

Abstract

Abstract - Drones as Unmanned Aerial Vehicle that are controlled using remote control are experiencing better development. The speed of the drone that cannot be accessed on the remote control can be determined through a client-server based application. The client side application, named Mydrone, is placed on the drone while on the server side, named Admin Drone, on earth. Mydrone and Admin Drone are applications made in this research based on andorid. This application on the client and server is used to monitor the speed of flying drones by using the Google Play Service library. Data sent from the client to the server in realtime by using Google Firebase. From the tests carried out it can be seen the speed of the drone when flying horisontal ly, while when flying vertically the speed is not detected. Battery capacity will also decrease when the speed of the drone gets faster, this is seen in the data when the speed is 8,741 km / h, the electricity demand taken from the battery is 31%.