Implementing a map based simulator for the location API for J2ME

The Java Location API for J2METM integrates generic positioning and orientation data with persistent storage of landmark objects. It can be used to develop location based service applications for small mobile devices, and these applications can be tested using simulation environments. Currently the only simulation tools in the public domain are proprietary mobile device simulators that are driven by GPS data log files, but it is sometimes useful to be able to test location based services using interactive map-based tools. In addition, we may need to experiment with extensions and changes to the standard API to support additional services, requiring an open source environment. In this paper we describe the implementation of an open source map-based simulation tool compatible with other commonly used development and deployment tools

Image Geocoding as a Service

Driven by the ambition of a global geocoding solution, in this paper we present the architecture of an image geocoding service. It takes advantage of the ubiquity of cameras, that are present in almost all smartphones. It is an inexpensive sensor yet powerful, that can be used to provide precise location and orientation. This geocoding service provides an API similar to existing ones for place names and addresses, like Google Geocoding API. Instead of a text based query, images can be submitted to estimate the location and orientation of the user. Developers can use this new API, keeping almost all the existing code already used for other geocoding APIs. Behind the scenes, image features are extracted from the submitted photograph, and compared against a huge database of georeferenced models. These models were constructed using structure from motion (SFM) techniques, and heavily reduced to a representative set of all information using Synthetic Views. Our preliminary results shows that the pose estimation of the majority of the images submitted to our geocoding was successfully computed (more than 60%) with the mean positional error around 2 meters. With this service, an inexpensive outdoor/indoor location service can be provided, for example, for urban environments, where GPS fails

A RESTFUL API FOR THE EXTENDED WHAT3WORDS ENCODING

Geocoding is a fundamental task of Geographic Information System (GIS) processing and analysis. It allows the transformation between a location reference (i.e., an address or an alphanumeric code) and coordinates, which is often an essential step when performing spatial analysis, mapping, and other geolocation related processes. Providing software functionality through RESTful APIs is a common practice in geospatial applications. Client programs are able to access or process geospatial data easily through a lightweight and scalable RESTful web service. Existing geocoding RESTful API providers include Google Maps Geocoding API, ArcGIS Geocoding REST API, MapQuest Open Geocoding API and what3words (w3w) Geocoding API. Extensions of what3words geocoding system have recently been proposed to overcome its limitation of fixed resolution and lack of consideration of the third dimension. This paper considers one of the extensions, the Quadtree Extension Model (QTEM) and introduces a RESTful API that provides operations for forward geocoding, reverse geocoding, single line and polygon encoding, and centre points encoding for a given area. The resources published by the web service could be implemented by software programs performing indoor and outdoor location referencing, location marking and path finding. This API could facilitate various geographic applications such as facility management, emergency evacuation, navigation and student survey data management in a university campus environment

Open API untuk Warung Makan Usaha Kecil dan Industri Rumahan

Many food stalls are small businesses or home industries with a capital under 10 million rupiah and are generally located in the yard of the stall owner, and do not have branches. The most common obstacle was the lack of customers caused by the location of the stall which was not strategic and the information about the stall service was not widespread. OPEN API Warung Makan is the implementation of Community Service activities funded from an internal grant 2019 Raja Ali Haji Maritime University. This API is intended to be open to any application developer to take advantage of this free service to be aimed at food stalls that fall into the category of small businesses or home industries. OPEN API Warung Makan provides two parts of service, namely for customers and stall owners. OPEN API Warung Makan uses Raja Ali Haji Maritime University's cloud infrastructure and does not require Authentication Tokens or the like.Usaha Warung Makan banyak yang merupakan usaha kecil atau industri rumahan merupakan warung makan dengan modal dibawah 10juta rupiah dan umumnya terletak pada halaman pekarangan dari pemilik warung, serta tidak memiliki cabang. Kendala paling banyak di jumpai adalah sepinya pelanggan yang di sebabkan oleh lokasi warung yang tidak strategis serta tidak meluasnya informasi layanan warung itu sendiri. OPEN API Warung Makan merupakan pelaksanaan kegiatan Pengabdian Kepada Masyarakat dengan bantuan hibah internal 2019 Universitas Maritim Raja Ali Haji. API ini dimaksudkan untuk terbuka terhadap developer aplikasi manapun untuk memanfaatkan fasilitas gratis ini untuk ditujukan kepada usaha warung makan yang masuk ke dalam kategori usaha kecil atau industri rumahan. OPEN API Warung Makan menyedikan dua bagian layanan yakni untuk pelanggan dan pemilik warung. OPEN API Warung Makan menggunakan infrastruktur cloud Universitas Maritim Raja Ali Haji dan tidak memerlukan Authentication Token atau sejenisny

Pemetaan Pelanggan IndiHome Sebagai Daerah Sasaran Promosi (Studi Kasus : Witel Bandung)

In this globalization era, marketing communication is very important to help increase sales promotion of indihome digital service products by utilizing customer location points that use indihome services. Currently there are many information systems that are used to support and solve problems in determining the location of a place. Determination of location can be done using mapping. The mapping of Indihome customers is done by utilizing a map provided by Google, the Google Maps API based on the address of the Indihome service customer. Therefore, we need a system to find out which areas use the most indihome services, so that it will make it easier to target promotions for indihome customers who have not used to add services to Indihome such as Movin, Indihome Gamers, Indihome Music, Indihome Music, Indihome Studies, Indihome Storage, Indihome Servers, Video Calls, and other additional packages. The results of this mapping can determine areas / regions that have the potential to be promoted in connection with the addition of indihome service products, so that it will have an impact on increasing customers and sales revenue of Add On products

PROGRESSIVE WEB APP-BASED ONLINE REPAIR SHOP APPLICATION USING MAPBOX AND GEOLOCATION API

Motorcycle users in Indonesia continue to increase every year. This has implications for the increasing need for motorcycle repair or maintenance service providers. This need is an emergency, but this is a problem because the lack of information regarding the location of the nearest workshop makes the process of finding a repair shop consuming a lot of time and energy. This study aims to develop an Online Workshop application that can present a map with the nearest repair shop location using Mapbox and the Geolocation API to make it easier for motorbike users to find a repair shop. In addition, this application allows users to be able to call a mechanic to come to the location. The Bengkel Online application is built using Firebase as a database and applies progressive web apps technology. The results of this study indicate that the online workshop application can be used to order repair services and call a mechanic to the location properly and accurately as indicated by the results of application testing which shows that all features function properly

REPORTING THE LOCATION OF WASTE COLLECTION IN ANDROID BASES SYSTEM IN BANDA ACEH CITY

Trash is a common problem in almost every city in Indonesia, including in Banda Aceh, although not as much as in other cities in the country. The trash's pile is increasing day by day resulting delays in handling by the management. Over time the piles of trash will accumulate and cause another problems, such as strong odors, disease spread, traffic disruption, and flooding. To overcome it, cooperation between the Sanitation Service and the community is needed, therefore an application is made that can be a way for sharing information about the location of trash piles for sanitation officers and related parties. So that later each user can find out exactly where the trash pile is located. This application system is built on a mobile basis for the client side, users use an Android-based on Smartphone or Tablet Computer. This application connects users to the server side by sending location data of coordinate points to be responded by the server by mapping the user's location on the Google Map with the Google Map API