F. Sabur, Purnamawati, Muhammad Yahya, Abdul Muis, Mulyadi Nur
{"title":"Analysis of Distance and Travel Time Calculations in the Implementation of Non-Directional Beacon Courses","authors":"F. Sabur, Purnamawati, Muhammad Yahya, Abdul Muis, Mulyadi Nur","doi":"10.24018/ejeng.2024.9.3.3161","DOIUrl":null,"url":null,"abstract":"\n\n\n\nThis research aims to determine the design of an Android-based distance and travel time information media simulation that is capable of providing location information regarding the location of airport service facilities by implementing the working system of a navigation tool, namely Non-Directional Beacon. The subject of this research is the area of the terminal, which will be included in the application, while the research object is the location of airport public service facilities that have been provided by the airport management. The research procedure used is adapting the research and development (R&D) method to the ADDIE method approach. The data source is reference distance information on the Map application, the Auto CAD application, and the Mapplic application. The type of data is quantitative data (direct measurements in the relevant field). The instruments used in data collection are the mapplic application and the auto CAD application. The data collection technique was carried out using trials and questionnaires. The data analysis technique used is black box testing. The results of this research found a linear regression equation, namely Y = 75.531X + 41.229, with an R2 value of 0.9941. For sample 1, the length of travel time required, namely by comparing the map distance of 278.787, the travel time based on the actual distance is 82.52, so to calculate the travel time required for the distance 82.52, namely 82.52 − 41.229 = 41.291/75.531 = 0.5466 or 0.55 minutes (with rounding). While the travel time for sample II with a map distance of 732 pixels and the actual distance is 732 pixels × 0.296 meters = 216,672 meters, then the travel time required is 216,672 meters − 41,229 = 175,443/75,531 = 2.3227 or 2.32 minute. From these calculations, it is compared with the results of the time and distance obtained based on the application developed, namely the design of the directional path in the terminal by first determining the origin coordinate point and destination coordinate point in the application developed.\n\n\n\n","PeriodicalId":12001,"journal":{"name":"European Journal of Engineering and Technology Research","volume":"8 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Engineering and Technology Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24018/ejeng.2024.9.3.3161","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This research aims to determine the design of an Android-based distance and travel time information media simulation that is capable of providing location information regarding the location of airport service facilities by implementing the working system of a navigation tool, namely Non-Directional Beacon. The subject of this research is the area of the terminal, which will be included in the application, while the research object is the location of airport public service facilities that have been provided by the airport management. The research procedure used is adapting the research and development (R&D) method to the ADDIE method approach. The data source is reference distance information on the Map application, the Auto CAD application, and the Mapplic application. The type of data is quantitative data (direct measurements in the relevant field). The instruments used in data collection are the mapplic application and the auto CAD application. The data collection technique was carried out using trials and questionnaires. The data analysis technique used is black box testing. The results of this research found a linear regression equation, namely Y = 75.531X + 41.229, with an R2 value of 0.9941. For sample 1, the length of travel time required, namely by comparing the map distance of 278.787, the travel time based on the actual distance is 82.52, so to calculate the travel time required for the distance 82.52, namely 82.52 − 41.229 = 41.291/75.531 = 0.5466 or 0.55 minutes (with rounding). While the travel time for sample II with a map distance of 732 pixels and the actual distance is 732 pixels × 0.296 meters = 216,672 meters, then the travel time required is 216,672 meters − 41,229 = 175,443/75,531 = 2.3227 or 2.32 minute. From these calculations, it is compared with the results of the time and distance obtained based on the application developed, namely the design of the directional path in the terminal by first determining the origin coordinate point and destination coordinate point in the application developed.