Understanding the Spatiotemporal Variation of High-Efficiency Ride-Hailing Orders: A Case Study of Haikou, China

Understanding the spatiotemporal variation of high-efficiency ride-hailing orders (HROs) is helpful for transportation network companies (TNCs) to balance the income of drivers through reasonable order dispatch, and to alleviate the imbalance between supply and demand by improving the pricing mechanism, so as to promote the sustainable and healthy development of the ride-hailing industry and urban transportation. From the perspective of TNCs for order management, this study investigates the spatiotemporal variation of HROs and common ride-hailing orders (CROs) for ride-hailing services using the trip data of Didi Chuxing in Haikou, China. Ordinary least squares (OLS) and geographically weighted regression (GWR) models are established to examine the factors that affect the densities of HROs and CROs during different time periods, such as morning, evening, afternoon and night, with considering various built environment variables. The OLS models show that factors including road density, average travel time rate, companies and enterprises and transportation facilities have significant impacts on HROs and CROs for most periods. The results of the GWR models are consistent with the global regression results and show the local effects of the built environment on HROs and CROs in different regions.

Proposal of a web application of virtual letters for restaurants as a prevention measure in time of COVID-19

The COVID - 19 pandemic and the health crisis that today has affected the entire world, has forced many companies to make the use of technological tools essential for them to compete in the market. All this has made mobile applications or web systems the most appropriate solution to implement in your business model. The present investigative work aims to propose the analysis and development of an order management system, digitizing the menu for restaurants and allowing the ordering process to be quick and interactive. Following the guidelines provided by the Government of Peru, in which they recommend, the digitization of traditional letters as it is considered a source of the spread of the coronavirus and to be replaced by menus or virtual letters which can be scanned through QR codes. The development of this project allows customers to view in detail the available dishes offered by the restaurant and proceed to order the food they want, on the other hand, the restaurant can keep track of all orders and relevant information about the business. To develop the prototype, an analysis and information gathering of the technologies to be implemented will begin.

Application of Reinforcement Learning Algorithm in Delivery Order System under Supply Chain Environment

With the intensification of market competition and the development of market globalization, the efficiency of supply chain management orders has become an important part of enterprise competition resources. The competition among enterprises is fierce. To achieve effective customer response quickly, the time for supply chain order management is minimized, and refine the order processing process. This article introduces the strategy research of supply chain management order based on a reinforcement learning algorithm. This article first combines the reinforcement learning algorithm and deep learning algorithm, using the optimal decision-making ability of reinforcement learning algorithm and deep learning algorithm. The combination of data perception and the optimal ability to analyze examine the data of the order process, order cycle, and order delivery process of the supply chain order management and give the optimal decision. The supply chain order management process conducts questionnaire surveys and seminars to understand the current process of supply chain order management and the problems derived from the analysis of data based on the deep learning algorithm. Finally, through the output of the optimal strategy of the reinforcement learning algorithm, the supply chain order management process was improved, and the satisfaction survey was conducted again. The survey showed that the satisfaction was improved, and the satisfaction reached more than 90%.

Analysis of Functional Suitability and Usability in Sales Order Procedure to Determine Management Information System Quality

In the development of information systems, it is very important to pay attention to the quality of the system which can be reviewed through aspects of usability for its users and following the needs and specifications of its users. This study will analyze the quality of the sales order management information system based on two characteristics of the ISO 25010 quality standard system, namely functional suitability and usability. The functional suitability test was carried out by the BlackBox testing method to test three sub-characteristics of functional suitability that are functional completeness, functional correctness, and functional appropriateness. Usability tests use a use questionnaire which is divided into four criteria that are usefulness, ease of use, ease of learning, and satisfaction. In testing the suitability of functionality involving 5 respondents and 17 respondents in usability testing. The results of this study indicate that the sales order management system fulfills two characteristics of information system quality that are functional suitability and usability. Where all the features designed are by the successful features, and the usability characteristics are 85.45% which indicates that the system is very feasible to implement.

Implementation of the Rational Unified Process (RUP) Model in Design Planning of Sales Order Management System

Sales order documents at retail companies are a very important procedure in the project or work initialization process. However, the management of the sales order which is still done manually creates several problems in the process. This research will try to offer a solution by building a sales order management system that is developed by applying the Rational Unified Process (RUP) method. 4 stages in the RUP must be carried out, namely: the initial stage, the elaboration stage, the construction stage, and the transition stage. To reduce the risk of changes desired by the user, testing is carried out at the end of each phase. The results of this study have succeeded in building an SO management system where each feature designed is successfully implemented, which is indicated by the results of measuring the functional suitability of the system at each stage getting a value of 1.

Pengaruh Harga dan Kualitas Pelayanan Garuda Express Delivery (GED) Terhadap Kepuasan Pelanggan

Tujuan penelitian ini untuk mengetahui pengaruh harga dan kualitas pelayanan yang diberikan oleh ekspedisi Garuda Express Delivery (GED) terhadap kepuasan PT IDS Medical Systems Indonesia (Cabang Jakarta). Objek penelitian ini adalah karyawan pada PT IDS Medical Systems Indonesia (Cabang Jakarta) yang merupakan pelanggan layanan ekspedisi GED. Penelitian berbasis metode kuantitaif, melalui survey menggunakan kuesioner. Teknik sampling berupa sensus melibatkan divisi Logistik dan SOM (Sales Order Management) sebanyak 28 karyawan. Data diolah dengan analisis regresi linier berganda menggunakan SPSS 21. Hasil penelitian ini menunjukkan kepuasan konsumen tidak dipengaruhi oleh harga. Pada sisi lain, kualitas pelayanan berpengaruh signifikan terhadap kepuasan. The purpose of this study was to determine the effect of price and service quality provided by the Garuda Express Delivery (GED) expedition on the satisfaction of PT IDS Medical Systems Indonesia (Jakarta Branch). The object of this research is an employee at PT IDS Medical Systems Indonesia (Jakarta Branch) which is a customer of the GED expedition service. Quantitative method-based research, through a survey using a questionnaire. The sampling technique is in the form of a census involving the Logistics and SOM (Sales Order Management) division of 28 employees. The data is processed by multiple linear regression analysis using SPSS 21. The results of this study indicate that consumer satisfaction is not influenced by price. On the other hand, service quality has a significant effect on satisfaction.