Transaction Costs on Online Transportation Partnership: An Empirical Study in Malang, Indonesia

This study uses a digital platform with a partnership pattern between application companies and online transportation drivers. Previous studies reported that digital platforms were able to reduce transaction costs. This study aims to identify transaction costs in online transportation partnerships in Malang, Indonesia. Using a qualitative approach with interactive analysis, the informant is a two-wheeled online transportation driver in Malang City. This study revealed that several transaction costs in online transportation namely negotiated transaction costs when the driver is suspended and supervision transaction cost when the driver got problems with an error application server, lost internet network, parking fees for pick-up, and fake orders from customers. Further, transaction costs are also uncertain since the company’s application regulations frequently change overtime. Despite the transaction fees, the drivers’ overall income were much better compared to their previous job. To reduce these transaction costs, government regulations are needed to balance the rights of drivers. Moreover, the company could replace the suspension with a fine of a certain amount. Changes to rules and policies must accommodate input from driver partners since they are more aware of actual conditions.

CRUDyLeaf: A DSL for Generating Spring Boot REST APIs from Entity CRUD Operations

Domain-Specific Languages (DSLs) are programming languages designed specifically to express solutions to problems in a particular domain. It is said they foster productivity and quality. In this work we describe CRUDyLeaf, a DSL focused on the generation of Spring Boot REST APIs from entity CRUD operations. Spring Boot is an open source Java-based framework used to implement the REST architecture style. It has gained popularity among developers mainly because it allows to build stand-alone and production ready software applications (avoiding the use of an application server). Through seven proposed stages (domain immersion, golden application implementation, syntax definition, meta model generation, code generator implementation, deployment, and refinement) we describe the development of this DSL. We also exemplify and evaluate the proposed DSL. Our findings suggest a yield automation rate of 32.1 LOC (Lines Of Code) for each LOC written in this DSL, among other observed benefits.

Smart KOT App Generation using an Android Application

One of the maximum critical levels of serving your visitors is to take their orders correctly. It is taken into consideration to be the start line of the patron’ s evaluation of your services. It is likewise the maximum fundamental step within the system of serving the right food to the proper patron. It is incredible how era can revolutionize the best yet crucial practices of hoteliers, and the Kitchen Order Token / Ticket app is a tremendous example of the same. In the traditional method, the order is taken by the waiter manually by using a pen and paper that is referred to as the Kitchen Order Token / Ticket. Usually had to be printed as duplicates(or triplicates in a few cases), traditional Kitchen Order Token / Ticket techniques serve to create miscommunication, consume greater time, and are extra vulnerable to manual mistakes. In this paper mainly concentrate on the Android application is used in the android platform Tablets for taking orders from the customer near their tables only. The app is used by the waiters to take down the orders. The particular device will be given to the waiters in the organization with their username and password logged in respectively. This app will act as the user end application and the server will be the web application (server) that is managed by the Administrator.

PLACE FOR RENT “TOTAL”

The article deals with the creation of a project for rent “Total”, it is a platform for renting any necessary things. The project is implemented as a mobile application on Android, using the GlassFish application server and the MySQL database. Such an application will allow users to share data and reduce the search time for lessors of various goods.

CREATING STYLE SHEET BY USING SPEECH RECOGNITION

Today’s rich Web applications use a mix of Java Script and Asynchronous communication with the application server. This mechanism is also known as Ajax: Asynchronous JavaScript and XML. The intent of Ajax is to exchange small pieces of data between the browser and the application server, and in doing so, use partial page refresh instead of reloading the entire Web page. AJAX (Asynchronous JavaScript and XML.) is a powerful web development model for browser-based Web applications. This project is designed and developed keeping that factor into mind, and a little effort is made to achieve this aim. Our project is capable to recognize the speech and convert the input audio into text & style sheet it also enables a user to perform operations “save, open, exit” a file by providing voice input.

Optimal policy for composite sensing with crowdsourcing

The mobile crowdsourcing technology has been widely researched and applied with the wide popularity of smartphones in recent years. In the applications, the smartphone and its user act as a whole, which called as the composite node in this article. Since smartphone is usually under the operation of its user, the user’s participation cannot be excluded out the applications. But there are a few works noticed that humans and their smartphones depend on each other. In this article, we first present the relation between the smartphone and its user as the conditional decision and sensing. Under this relation, the composite node performs the sensing decision of the smartphone which based on its user’s decision. Then, this article studies the performance of the composite sensing process under the scenario which composes of an application server, some objects, and users. In the progress of the composite sensing, users report their sensing results to the server. Then, the server returns rewards to some users to maximize the overall reward. Under this scenario, this article maps the composite sensing process as the partially observable Markov decision process, and designs a composite sensing solution for the process to maximize the overall reward. The solution includes optimal and myopic policies. Besides, we provide necessary theoretical analysis, which ensures the optimality of the optimal algorithm. In the end, we conduct some experiments to evaluate the performance of our two policies in terms of the average quality, the sensing ratio, the success report ratio, and the approximate ratio. In addition, the delay and the progress proportion of optimal policy are analyzed. In all, the experiments show that both policies we provide are obviously superior to the random policy.