Maps API Research Articles

Locating Identification the Nearest Social Security Organizing Agency for Health Recipient Hospital Using the Haversine Formula and Black Box Method

Currently, many people have difficulty finding the nearest hospital that can accept the health insurance of the Health Social Security Organizing Agency (BPJS) and the ignorance of the community whether a hospital can accept BPJS Health or not. This can cause critical problems, especially if the patient's condition requires immediate health action. This problem can be solved with an application that can find the closest distance to BPJS recipient hospitals. One method to find the closest distance that currently has the highest level of accuracy is the Haversine Formula method. Applications made using the Haversine Formula method and based on Location Based Service can find the location of the nearest hospital based on the coordinates of the user's location. In this study, the application built using the Haversine Formula method and Location Based Service was able to find the closest distance from 38 hospitals in the Bekasi Regency area using Google Firebase as a database and Mapbox as a Maps API application. Tests were carried out by comparing the distance of 15 hospitals in 3 different locations, showing that the distance between the application and Google Maps was no more than 0.5 km, in location 1 the distance equation was 99%, location 2 was 97% and location 3 was 96% with an average success rate of 97%.

Critical travel time impact factors at the implementation of the Athens Great Walk

The aim of this paper is the investigation of the critical factors affecting travel time in Athens, Greece, during the pilot implementation of the Athens Great Walk, a series of novel traffic and parking interventions for the city center. Travel time data collected in 12 routes using Google Maps API which were combined with traffic and pedestrians volumes and road geometry characteristics. Five linear and lognormal regression models were developed to determine the factors that affect the travel time on five road types. The results revealed that the factors affecting travel time are significantly related to the motorized traffic, active transport modes as well as road geometry characteristics. The passenger car share affects negatively the travel time in four of the five road types. The bus share and pedestrian traffic are significantly affect the travel time in three road types.

Delivery Service Management System Using Google Maps for SMEs in Emerging Countries

This paper proposes a Delivery Service Management (DSM) system for Small and Medium Enterprises (SMEs) that own a delivery fleet of pickup trucks to manage Business-to-Business (B2B) delivery services. The proposed DSM system integrates four systems: Delivery Location Positioning (DLP), Delivery Route Planning (DRP), Arrival Time Prediction (ATP), and Communication and Data Sharing (CDS) systems. These systems are used to pinpoint the delivery locations of customers, plan the delivery route of each truck, predict arrival time (with an interval) at each delivery location, and communicate and share information among stakeholders, respectively. The DSM system deploys Google applications, a GPS tracking system, Google Map APIs, ATP algorithms (embedded in Excel Macros), Line, and Telegram as supporting tools. To improve the accuracy of the ATP system, three techniques are applied considering driver behaviors. The proposed DSM system has been implemented in a Thai SME. From the process perspective, the DSM system is a systematic procedure for end-to-end delivery services. It allows the interactions between planner-driver decisions and supporting tools. The supporting tools are simple, can be easily used with little training, and require low capital expenditure. The statistical analysis shows that the ATP algorithm with the three techniques provides high accuracy. Thus, the proposed DSM system is beneficial for practitioners to manage delivery services, especially for SMEs in emerging countries.

Dijkstra's algorithm to find the nearest vaccine location

Since the start of Covid-19 pandemic has made many people look for vaccine locations. In general, Dijkstra algorithm is used to find the shortest path. The shortest path problem concentrates on finding the path with the minimum distance. The Dijkstra algorithm was chosen because it has several advantages other than advantageous in terms of running time to find the shortest path. This research focuses on calculation and implementation of Dijkstra algorithm that will result the shortest path with visual by Google Maps API. The project is tested with manual calculation first by using graph explanation. The graph is obtained based on route data obtained with the help of google maps then it is tested by implementing the Dijkstra algorithm using HTML, JavaScript and also Google Maps API to visualize the nearest vaccine location. From the research founded that there were shortcomings problem where program had to enter each road turn as a vertex and an edge, If not including the entire path that was formed, it would pass through buildings or structures that should not be passed. The results that will be displayed on the website based on the purpose of the research.

A Smart Parking System Using Surveillance Cameras and Fuzzy Logic: A Case Study at Pardubice University's Campus

This paper introduces a novel methodology for optimizing parking recommendations on the campus of Pardubice University, aimed at enhancing the management of existing parking areas. The model takes into account factors such as distance, travel time, parking spot availability, and user preferences, leveraging data processed via the Google Maps API and Open-CV. Fuzzy logic is employed within the model to deal with imprecise concepts, providing adaptability. Performance evaluations yielded an impressive accuracy of 92%, attesting to its viability for real-world implementation. This research significantly advances smart parking solutions, showing promise for reductions in wasted time, alleviated traffic congestion, and improved parking efficiency.

Rainless Day Management using Geographic Information System and Wireless Sensor Networks on Climatology Station Banjarbaru

Information obtained at the Banjarbaru Climatology Station includes seasonal forecasts, rainfall analysis, rainfall properties analysis, rainy day analysis, and monitoring of rainless days in the South Kalimantan region. Monitoring of Rainless Day is a form of data on rainless days that occur in South Kalimantan in sequence. The data is sent by observers to the Banjarbaru Climatology Station office using SMS, WhatsApp, and even by calling the staff of the Banjarbaru Climatology Station so that employees must check every media both SMS, WhatsApp, and telephone to find out the data sent by observers. Related to these problems, a web-based rainless day monitoring application was made. By using the Research and Development (R&D) method to facilitate the management of rainless day data, a geographic information system management system using Google Maps API and MySQL database is built which is integrated with Internet of Things (IoT) technology based on Wireless Sensor Networks (WSN) for data collection in real-time. The system built will provide notifications in the management of areas affected by rainless days in order to deal with drought.

APLIKASI SIG BERBASISA WEB PEMETAAN LOKASI TOKO OLEH-OLEH DI KOTA BATAM

The development of technology today is very undoubted so that information is easy to access anytime and anywhere. The ease of accessing information gives new enthusiasm for humans in developing information technology or commonly referred to as Geographic Information System (GIS). The definition of GIS itself is a special information system that manages data that has special information, or it can also be interpreted as information about the place or location where the geographical location is located. Batam city is one of the cities in the Riau archipelego province. Batam is famous as a location visited by foreign and domestic tourists. Tourists that visit Batam city have a habit of bringing food as souvenirs from Batam. However, tourists and local people sometimes have difficulty in finding the location of stores that sell food souvenirs. This study aims to develop a Geographic Information System application that maps the location of gift shops in Batam. The result of this study is web-based GIS applications, which uses Google Maps API to display maps and retrieve store location coordinates. Through the application, the tourist can be helped in finding the location of souvenir shops in the city of Batam.

Web-Based Geographic Information System Design In Madrasah In The North Area Of Tangerang District

Many madrasah under the auspices of the Tangerang Disctrict Education Office are scattered and the public does not know where the madrasah are. So that mapping is needed to find out the distribution of these madrasah. The development of residential areas and the increasing number of residents raises several problems, including inadequate school capacity, lack of access points to schools, incomplete supporting facilities and so on. Conditions like this can disrupt the stability of education services in the northern region of Tangerang Disctrict. With the development of the world of information today makes a lot of convenience, one technology that is currently being developed is the Geographic Information System (GIS). The information system regarding school mapping is a combination of GIS and web technology, allowing the information to be visualized into the web so that it can be accessed by the wider community without any time and place limits. This system was built using the Google Maps API to display a map of the location of madrasah in the northern area of ??Tangerang district. Spatial data for madrasah was obtained from the Tangerang District Education Office. The results of the trial of the Geographic Information System application in the Northern area of ??the Tangerang Disctrict, have provided information to the community and the Education Office about mapping madrasah in the Northern Region of Tangerang Disctrict.

A Novel System for AYUSH Healthcare Services using Classification and Regression

There are roughly 4000 AYUSH hospitals spread out across India under various councils and hospitals run by the Indian government. Today’s atmosphere makes it more challenging than ever to locate a suitable AYUSH facility for the treatment. The AYUSH Ministry provides India’s top option for healthcare delivery. The government is examining strategies to lower expenditures while enhancing patient care. We are proposing the ground-breaking idea of e-healthcare which involves various novel features like suggesting various tools to the patients those need to communicate with the healthcare professionals as per their convenience remotely. This research suggests an interactive system using Android in line with this trend. By integrating different bio-medical data sources that contain information pertinent to the hospital demographics, their inpatient procedure rates, Outpatient department, etc., we proposed a system that surveys on the various AYUSH hospitals to find. This system uses the Google Map API for tracking and highlighting the location to the nearby AYUSH hospitals with opening and closing timings. Additionally, the proposed system plays a crucial role in emergency scenarios by supporting the user in performing the necessary first aid techniques. Using this strategy, the entire system demonstrates that this research provides a superior method for making decisions than past studies.

APLIKASI PENCARIAN BENGKEL VESPA DI KOTA DEPOK BERBASIS ANDROID DENGAN METODE LOCATION-BASED SERVICE (LBS)

The Vespa workshop is the place to organize Vespa repair efforts. Not all Vespa workshop locations are known by the public, both those from Depok City and those from outside the city. This is due to the lack of information about Vespa workshops in Depok City. The progress and development of the times like today's use of technology is needed to be able to provide information quickly, where the use of technology can be accessed anytime and wherever the user is. The use of information technology, such as using an Android-based smartphone application, can be used to help members of the public find a location and find out the route to the desired Vespa workshop. This study aims to build an Android-based Vespa workshop search application as a source of information to find out the location and routes to available locations in Depok City. The research method used is the waterfall process model. Implementation of the Vespa Workshop Application using Javascript programming with Android Studio, Location-based service, and maps sourced from the Google Maps API. The results of the research are in the form of an android-based Vespa workshop search application that helps make it easier for residents of Depok City and outside the region to obtain information about Vespa workshops and routes from the user's location to the desired Vespa workshop in Depok City with the help of GPS.

Defining archetypes of mixed-use developments using Google Maps API data

Urban planning relies on the definition, modelling and evaluation of multidimensional phenomena for informed decision-making. Urban building energy modelling, for instance, usually requires knowledge about the energy use profile and surface area of each use that takes place within a building. We do not have a detailed understanding of such information for mixed-use developments, which are gaining prominence in urban planning. In this paper, we developed a methodology to quantitatively define the characteristics of mixed-use developments using archetypes of programme profiles (ratios of each programme type) of a city’s mixed-use plots. We applied our methodology in Singapore, resulting in 163 mixed-use zoning archetypes using Singapore’s master plan data and Google Maps API data. In a case study, we demonstrated how these archetypes can be used to provide more detailed data for urban building energy modelling, including energy demand forecasts and energy supply system design. To enable future automation of the workflow, the archetype definitions were represented and stored as a machine-readable ontology. This ontology can later be extended with for example, the mobility properties of archetypes; thus, enabling the archetypes' use in other urban planning applications beyond building energy modelling.

Location and Time-Based Reminder Android Application – A Survey

In this study, a location and time-based reminder android application is developed to help people remember their daily tasks which are location specific. Also enabling them to provide a time context to these reminders. Many times, it cannot be predicted when we will be at a particular location and at what time to perform tasks that are location specific. It is beneficial if we get an alert when we are actually present near that location. When combined with the context of location and time reminders can be much more efficient and drastically increase the productivity of users. The system uses Google Maps API, GPS, and Geo-Fencing Algorithms to provide accurate reminders. Timely reminders increase productivity by reducing the chances of the missing location of interest and the task to be performed..

Research on Urban Road Network Extraction Based on Web Map API Hierarchical Rasterization and Improved Thinning Algorithm

Most existing research on the vector road network is based on GPS trajectory travel information extraction, and urban GPS trajectory data are large and difficult to obtain. Based on this, this study proposes a road network extraction method based on network map API and designs a vector road network based on an improved image-processing algorithm using trajectory data. Firstly, a large number of trajectory data are processed by hierarchical rasterization. The trajectory points of the regional OD matrix are obtained by using the map API interface to generate the trajectory. Then, the image expansion processing is performed on the road network raster image to complete the information loss problem. The improved Zhang–Suen refinement algorithm is used to refine the idea to obtain the road center line, and the vector road network in the study area is obtained. Finally, taking the Harbin City of Heilongjiang Province as an example, compared with the road network of the network map, it has been demonstrated that using this technology may improve the traveler experience and the sustainability of urban traffic flow while reducing the number of manual procedures required, performing online incremental rapid change detection, and updating the present road network at a cheaper cost.

Bin Bay: An Optimized Smart Waste Disposal System for a Sustainable Urban Life using LSTM and Fog Computing

To create green and smart cities, a smart and planned WasteManagement System (WMS) is a vital requirement. With the increase in the urbanpopulation and service delivery difficulties, smart cities are integratingtechnologies such as smart waste bins and Radio Frequency Identification (RFID)tags into their day-to-day operations to make solid waste management andcontrol more effective. Fog computing in waste management is becoming common insmart utilities as it provides benefits like a minimal amount of data sent tothe cloud, reduced bandwidth, and Low data latency. The proposed work focuseson residential customers using waste collection services. Smart Waste DisposalSystem for a sustainable urban life using Fog Computing called Bin Bay isproposed to optimize the collection of waste with the shortest path usingGoogle Map API support from Fog Layer for which four major parameters areconsidered namely: The distance between truck and bin, the status of the bin(what percentage of it is filled), the capacity of the truck and the positionof the truck. The Bin Bay model helps to savetime by determining the most efficient waste pickup route for waste disposal.The RFID Reader and Scanner help in updating the fog nodes with the date, time,and volume of trash pickup which could be further analyzed to keep on-timeservice delivery. Also, predictions on future waste growth shall be determinedby doing in-depth analysis in the cloud using LSTM which will intelligentlylearn and predict the waste patterns based on the summary submitted by theaggregate node of the fog layer and since the optimized routes lead to lessfuel consumption, CO2 emission also shall be greatly reduced.

A Computerized System to Solve Difficulties in Finding Medicines under the Medicine Shortages in Sri Lanka

Due to ongoing financial crisis in Sri Lanka, patients are starting to suffer from medicine shortages at an increasing rate. Patients are having to go to multiple pharmacies to find certain medicines which could result in health complications. Although e-pharmacy platforms provide the functionality to order medicines by uploading the prescription sheet, they do not provide alternatives on where to find the medicines that are not available in the pharmacy. This research introduces a new functionality to provide patients suggestion on where exactly to find missing medicines. This is found through checking the stock availability of the medicine in other pharmacies in sorted order with respect to the delivery location of the patient taken via Google map API to make the process much more efficient and practical. This is achieved by implementing a global identifier for each medicine where all pharmacies keep the records of the medicines in reference to the defined global identifier of that medicine. In addition to that, the system allows patients to view all the pharmacies nearest to their delivery location and give the freedom to place orders to whichever pharmacy they prefer. If a medicine is not available in the pharmacy which the order was placed for, the system will give suggestions to the patient on where exactly to buy the medicine.

Mobile Application Development for Management of Information System of Agro-Tourism Activities and Attractions with YII Framework

Noppitam district, Nakhon Si Thammarat is known as one of Thailand’s rich natural sources which features a range of agro-tourist attractions. However, there is no dependable information system for management of tourism and routing guidance available in such district. The locals mostly resort to their own social media platforms in attempt to publicize local attractions, which unfortunately causes disorderliness to the information. Upon arrival at the Noppitam district, Nakhon Si Thammarat, tourists therefore have to search for information of each tourist attraction separately. Regarding this, it is essential to develop the management information system for agro-tourism activities and attractions with the YII framework, and implement the MySQL to devise the database. This can help with management of information for tourism, restaurants, and residences available around the district. Moreover, it can serve as the central system which provides tourists with information regarding tourist attractions open in the Noppitam district as well as guides them to the destinations, restaurants, and residences nearby, with accurate multilayered data on Google Maps API. The system also enables tourists to give feedback, either via their iOS or Android devices. Thanks to the participative data management, owners of attractions, restaurants, and residences can manually update information to keep it all up to date.

Integration and Geographic Visualization of TKA-TPA Data Using Mapbox

TKA-TPA data management is performed conventionally and inaccurately. Accordingly, it may result in considerable data loss. Data collection for TKA-TPA by BADKO Kasihan Bantul Yogyakarta is still carried out conventionally. Therefore, this study supports BADKO TKA-TPA in data management, data reporting, data mapping, and data publication. A Web Geographic Information System (GIS) was created using the CodeIgniter framework with the Hypertext Preprocessor (PHP) programming language, MapBox on the Maps API Service, MySQL database, and the SDLC with the prototype method. The study result is a web-based GIS application. This GIS application has been successfully built and can be used by BADKO TKA-TPA Kasihan Bantul Yogyakarta for its data management and mapping system.

Haversine Formula to Find The Nearest PetShop

The population of cats and dogs is increasing, whether they are kept or not. The public's awareness to raise these animals needs to be supported by a business place for keeping and buying and selling pet food or a PetShop. People who keep animals often have difficulty (1) finding the nearest PetShop, (2) access to the location, (3) knowing what services are provided, even (4) knowing whether there is a willingness to consult animal care and make a consultation appointment. This study aims to bring together PetShop and the community in the care and maintenance of animals, especially cats and dogs in Bekasi City. The system development life cycle method used is WaterFall. The WaterFall method consists of 5 stages, namely: Communication, Planning, Modeling, Construction, and Deployment. On stage Contruction, the Haversine Formula is inserted to find the nearest PetShop and with the help of the Google Maps API, a route to the PetShop is determined from the application user. Unified Modeling language (UML) diagrams are used during the analysis and system design processes such as Use Case Diagrams, Activity Diagrams, Sequence Diagrams, Class Diagrams, Data Models, and User Interfaces. The result of this research is the ZuPet Web application which was built according to the Waterfall system development methodology, and the Haversine Formula has been inserted to optimize the search for the shortest route. The functionality of the application has been tested using the BlackBox Testing method. The application can be accessed at the address https://zupet.my.id.

Construction of a high-precision general geographical location words dataset

Geographical location words (GLWs) are words associated with geographical locations. GLWs are the significant foundation for text data processing and social network location inference. In this paper, we propose a framework for constructing high-precision general GLWs datasets, and a Chinese GLWs dataset (named GeoCN) is constructed. To some extent, GeoCN solves the problem of lacking a Chinese GLWs lexicon with diverse categories, high accuracy, and robust versatility. GeoCN consists of three parts: a) points of interest (POI) data collected based on the electronic map API, b) administrative division data constructed based on the national information platform, and c) GLWs data expanded and filtered by automated procedures and manual processing. We establish a GLWs glossary for each administrative region and map each GLW to its location. GeoCN covers 34 provincial-level administrative regions, 392 prefecture-level administrative regions, and 3,160 county-level administrative regions in China. The number of GLWs in GeoCN reaches 1,763,476, and the compressed file size is 117 MB.

Design and Discussion on Information Management and Control System of Agricultural Machinery and Equipment

In order to solve the problem of low development efficiency of agricultural mechanization information network system, a design and discussion method of agricultural machinery equipment information management and control system is proposed. This paper introduces the technologies required to realize the agricultural machinery operation management control system: Android development technology required to develop mobile phone positioning software, Internet map API for displaying location data, and construction of agricultural machinery resource allocation model for the realization of the scheduling module. Different objective functions are set, and the model results in different situations are obtained through experimental data. The experimental data are in the case of schedulable agricultural machinery, if the target is short-distance short-distance operation, it can save time by 0.16 h, and the existing M1 model is in Changying. Village work, the work end time is about 2.5 hours; M4 and M2 models work in the Xuzhuang Village, and the work end time is about 0.5 h; M3 model works in the Jiangtang Village, and the calculation results for different goals are as follows: M1 model first dispatches short-distance operations; the M3 type is dispatched first for short-distance operations; the M4 type operating in Xuzhuang Village is given priority to dispatch short-distance and short-distance operations. According to the analysis of system requirements, each submodule of the system is designed, including the function description and realization method of the module. The history track query module, mobile phone positioning module, and agricultural machinery scheduling module are introduced in detail. Using the Android development technology required by mobile phone positioning software, the information management of user interface, server system, and database is realized, which provides conditions for the collection of agricultural machinery and equipment information and the generation of information management control.