scholarly journals RANCANG BANGUN SISTEM INFORMASI PEMETAAN TOKO OLEH-OLEH DAN SOUVENIR KHAS LAMPUNG DIKOTA BANDAR LAMPUNG BERBASIS ANDROID

2020 ◽  
Vol 8 (2) ◽  
pp. 13-24
Author(s):  
Yuli Syafitri ◽  
Muhammad Rizal
Keyword(s):  
Google Map Api

Sistem Informasi Geografis (SIG) atau Geographic Informtic System (GIS) merupakan sistem informasi berbasi komputer yang digunakan untuk mengolah dan menyimpan data atau informasi geografis dengan visualisasi data yang berisi letak toko oleh-oleh khas lampung, informasi toko dan petunjuk arah yang disajikan kepada pengguna. Adapun data yang digunakan dalam penelitian ini adalah dengan pengumpulan data peta wilayah Bandar Lampung menggunakan Google Map API, pengumpulan data titik koordinat serta beberapa data penunjang lainnya. Hasil dari penelitian ini adalah membangun sistem informasi geografis toko oleh-oleh khas lampung berbasis android yang memberikan kemudahan kepada pengguna untuk mengetahui posisi toko oleh-oleh khas lampung, dimana didalamnya terdapat informasi toko,posisi toko, barang yang dijual dan petunjuk arah menuju toko yang dipilih

scholarly journals Sistem Informasi Geografis Berbasis Web Digitasi Persil Bangunan

2015 ◽  
Vol 1 (1) ◽  
pp. 20-28
Author(s):  
Arief Susanto
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Local Governments ◽  
Spatial Information ◽  
Geographic Information ◽  
Process Data ◽  
Desktop Application ◽  
Gis Data ◽  
Google Map Api ◽  
Advanced Development

Geographic Information Systems ( GIS abbreviated as Geographic Information System ) is a specialized information system that manages data having spatial information . Most to process data in the form of GIS data are still many who use desktop application or can only run on one computer while the more advanced development requires us to produce information more easily is to develop a GIS online ( via the Internet ) and can be accessed Anywhere You . This application is designed using DFD modeling and created using the programming language PHP with MySQL database as well as utilizing Google Map API . As well as to facilitate the collection of data by the field of local government development . Moreover , the existence of GIS aims to help local governments in the search for building plots parcels and ownership of data previously not been structured to be more structural and facilitate spatial data collection .

scholarly journals Traffic congestion prediction based on Estimated Time of Arrival

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0238200
Author(s):  
Noureen Zafar ◽  
Irfan Ul Haq
Keyword(s):  
Traffic Congestion ◽  
Rapid Expansion ◽  
Time Of Arrival ◽  
Random Forest Classification ◽  
Traffic Forecasting ◽  
Real Time Traffic ◽  
Forest Classification ◽  
Time Period ◽  
Congestion Prediction ◽  
Google Map Api

With the rapid expansion of sensor technologies and wireless network infrastructure, research and development of traffic associated applications, such as real-time traffic maps, on-demand travel route reference and traffic forecasting are gaining much more attention than ever before. In this paper, we elaborate on our traffic prediction application, which is based on traffic data collected through Google Map API. Our application is a desktop-based application that predicts traffic congestion state using Estimated Time of Arrival (ETA). In addition to ETA, the prediction system takes into account various features such as weather, time period, special conditions, holidays, etc. The label of the classifier is identified as one of the five traffic states i.e. smooth, slightly congested, congested, highly congested or blockage. The results demonstrate that the random forest classification algorithm has the highest prediction accuracy of 92 percent followed by XGBoost and KNN respectively.

scholarly journals Comparison of Genetic Algorithm and Hill Climbing for Shortest Path Optimization Mapping

2018 ◽  
Vol 31 ◽  
pp. 11017
Author(s):  
Mona Fronita ◽  
Rahmat Gernowo ◽  
Vincencius Gunawan
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Shortest Path ◽  
Path Optimization ◽  
Hill Climbing ◽  
Small Cities ◽  
Mutation Probability ◽  
Optimal Distance ◽  
Early Departure ◽  
Google Map Api

Traveling Salesman Problem (TSP) is an optimization to find the shortest path to reach several destinations in one trip without passing through the same city and back again to the early departure city, the process is applied to the delivery systems. This comparison is done using two methods, namely optimization genetic algorithm and hill climbing. Hill Climbing works by directly selecting a new path that is exchanged with the neighbour’s to get the track distance smaller than the previous track, without testing. Genetic algorithms depend on the input parameters, they are the number of population, the probability of crossover, mutation probability and the number of generations. To simplify the process of determining the shortest path supported by the development of software that uses the google map API. Tests carried out as much as 20 times with the number of city 8, 16, 24 and 32 to see which method is optimal in terms of distance and time computation. Based on experiments conducted with a number of cities 3, 4, 5 and 6 producing the same value and optimal distance for the genetic algorithm and hill climbing, the value of this distance begins to differ with the number of city 7. The overall results shows that these tests, hill climbing are more optimal to number of small cities and the number of cities over 30 optimized using genetic algorithms.

scholarly journals Geospatial data Acquisition Using the Google Map API

2012 ◽  
Vol 8 (1) ◽  
pp. 55-60
Author(s):  
Seung-Hee Han ◽  
Jin-Duk Lee ◽  
Hyo-Beom Ahn
Keyword(s):  
Data Acquisition ◽  
Geospatial Data ◽  
Google Map Api

scholarly journals IoT based Smart Vehicle Monitoring System : A Systematic Literature Review

2021 ◽  
pp. 12-20
Author(s):  
Tanvir Rahman
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Navigation System ◽  
Tracking System ◽  
Health And Safety ◽  
Vehicle Tracking ◽  
Safe Driving ◽  
Driving Experience ◽  
Google Map Api ◽  
Smart Vehicle

This paper provides a complete over view of the current research state of Smart vehicle tracking System with GPS and cellular network. This paper consists of several review aiming to reveal the relevance and methodologies of this research area and create a foundation for future work. In this paper an advanced vehicle observation and IOT based tracking system and autopilot navigation system based on Machine Learning and neural Networking is proposed with all possible scientific validations of the model. The primary purpose of monitoring the vehicles which are moving from one place to the other in order to provide better A.I based autopilot navigation system, safety and security. The proposed method Combined the idea of Java programming, Neural networking concept with machine learning capability processing data with MediaTek mobile processor and its sophisticated features of storing data into several databases. Google Map Engine API v3 was used to display and sense the graphical images of the map and a Vision recognition server system is used to compare and represent the map API in a more realistic look. The proposed project includes the implementation of Global Positioning System (GPS), GPRS and GSM technology for vehicle tracking and monitoring on real time basic purpose using SIM module.[3] The GPS receiver installed o tracking device provides real-time Geolocation Co-ordinate of site of the vehicle; 3 adjacent GSM cellphone tower stations will continuously broadcast co-ordinate of locations and the GPRS technology with TCP based protocol sends the tracking information to the central Monitoring and Imaging server which consist of 3 child servers i)data processing sever, ii) Image and vision based server and iii)A.I. based machine learning server calculate data and minimize the information and maps with the help of Google map API and thus an decision message for next Move/driving path is generated and transmitted to Smart Controlling Device to execute the instructions and to display it in the Monitor of car display and Integrated logged-IN andriod based Google Map API version 3 app on real time basic. Hence, this system will monitor all the driving steps of the driver and provide the real time driving suggestions and feedback to the driver to ensure smooth and safe driving experience. The sensors like temperature sensor ,altitude sensor and smoke sensor send data to the neural processing Server which diagnoses the health and safety measures of the vehicles and generates a report on Car display and andriod App interface if any risk issue is found by sensors.

scholarly journals Development of A Geographic Information System for The Distribution of Parks in Kediri City

2021 ◽  
Vol 5 (2) ◽  
pp. 532-538
Author(s):  
Toga Aldila Cinderatama ◽  
Trisha Alfandi ◽  
Ashafidz Fauzan Dianta ◽  
Rinanza Zulmy Alhamri ◽  
Hamdani Arif ◽  
...  
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Distribution Data ◽  
Data Display ◽  
Microsoft Excel ◽  
Web Based ◽  
City Area ◽  
The City ◽  
Google Map Api

The Department of Environment, Hygiene, and Parks is an agency that takes care of cleanliness and landscaping in Kediri. The distribution of parks in the Kediri City area is data and managed using a manual system using Microsoft Excel to get results in reports. For this reason, the Department of Environment, Cleanliness, and Parks requires an application that can be used to help manage data on the distribution of parks in the Kediri City area. The required system can manage park distribution data, display a park distribution map, and display the scale of conditions. The Geographic Information System for the Distribution of Parks in the City of Kediri was designed and built to meet the needs of the relevant agencies. Users of this system consist of visitors, admins, and heads of services. The system is designed and implemented using PHP, HTML, CSS, JavaScript, Mysql, and Laravel Framework, then integration with Google Maps API. The final result of this research is a Geographic Information System for the distribution of web-based parks in the City of Kediri using the Google map API as a provider of free maps that are integrated into the website. In addition, of course, it provides information about the distribution of the park and the scale of conditions.

Many, many maps: Empowerment and online participatory mapping

First Monday ◽  
2007 ◽  
Author(s):  
David L. Tulloch
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Second Life ◽  
Geographic Information ◽  
Google Earth ◽  
Participatory Mapping ◽  
Internet Applications ◽  
Different Types ◽  
Participatory Geographic Information System ◽  
Google Map Api

The convergence of public participatory mapping and cybertography is having far-reaching impacts through a variety of creative applications. This paper presents three different types of Internet mapping applications — Google Earth and Google Map API, Common Census, and a design exercise in Second Life — with a public participatory geographic information system (PPGIS) and cybercartography perspective. Each of these examples empowers users in a different way. The spatial applications and the supporting information that is being made available through Internet map applications represent a unique set of examples of the democratization possible through Internet applications.

scholarly journals Adaptive Traffic Light Control Based on Actual Condition Using Google Map API

2019 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Adi Sabwa Isti Besari Arkanuddin ◽  
Selo Sulistyo ◽  
Anugerah Galang Persada
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Actual Condition ◽  
Light Control ◽  
Traffic Light ◽  
Road Density ◽  
Traffic Light Control ◽  
Traffic Control System ◽  
Google Map Api

Traffic congestion is one of the main problems in transportation sector and it causes a lot of drawbacks to public. The traffic light system is used to reduce the level of occurring traffic congestion. Generally, the available traffic light systems use a fixed time setting. This old traffic control system is no longer able to manage the ever-changing traffic conditions effectively and efficiently, causing a long queue of vehicles. To overcome this problem, a traffic light control system that can adapt to actual conditions of road density and can run automatically is offered. This system utilizes Google Map API as a road density data source. The result of this study is a traffic control system that can adjust the green light time duration based on the obtained density values and density trends, simulation of this adaptive system as well as simulation results analysis. A prototype of this adaptive control system was also produced in this study.

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