International Journal of Computer (IJC)

Advanced and Secure Online Web-Based Auction System

Sheharyar Khan, Zeeshan — Mon, 25 Apr 2022 00:00:00 +0000

The advance and secure online auctioning system is a versatile approach for facilitating lot-based online auctioning system. In this paper, we will describe how to build a safe and online advance auction website. The system has been built to be extremely scalable and capable of serving huge groups of bidders in a promotional event. You may browse deals and put bids on a secure server using the online auction system. The service provider is responsible for all shipping costs. The goal is to create a user-friendly auctioning platform where any goods may be auctioned and where bidders and sellers can receive value-added services. The items will be verified, and the site will provide a secure and safe experience for online users. Auction system is further divide into two different easy platforms in which one is special designed for only the developers to maintain and update the system according the current requirements and demands while another is specific for user-end platform. It is very efficient, secure and reliable for all types of bidders, buyer and sellers. Because of its reliability, efficiency and secure platform, it is not wrong to say that this auction system is unique and can differs from all other system which are also developed and designed for the purpose of auctioning.

Code Writing Problem in Python Programming Learning Assistant System

Hsu Wai Hnin, Khin Khin Zaw — Mon, 25 Apr 2022 00:00:00 +0000

To advance python programming knowledge of students, Python Programming Learning Assistant System (PYPLAS) is elaborated. Currently, PYPLAS included the element fill-in-blank problem and error debugging problem to improve the student’s python programming skill. Then, students learn python testing techniques such as unit test (PYUNIT), PYTEST and coverage, etc. In this paper, PYPLAS provides the code writing problem so that students can learn the python code testing and write the python code according to test code. So, code writing problem is generated by using Test Driven Development (TDD) method. Teacher gives the test code to students. Students answer the program code according to test code by using unit test (PYUNIT). Teacher checks the answer code according to coverage in TDD method. For evaluations, 100 codes are provided to accurate the code testing and coverage approach in TDD method. 11 problems are generated and asked 5 learners from training center and universities to solve them in offline PYPLAS. Their results are checked by using coverage approach to display their correct rate. The results show the code writing problem is helpful to test the student’s coding quality.

Integrated Flow Shop and Vehicle Routing Problem Based on Tabu Search Algorithm

Quang Chieu Ta, Phuong Mai Pham — Mon, 25 Apr 2022 06:02:27 +0000

We consider in this paper a m-machine permutation flow shop scheduling problem and vehicle routing problem (VRP) integrated [1]. The manufacturing workshop is a flow shop and there is only one vehicle available. We are interested in the minimization of the total tardiness. related to the delivery completion times. Therefore, we are faced to three interdependent problems: scheduling the jobs in the flow shop environment, batching the completed jobs, and routing the batches. Then, we present the resolution method based on Tabu search and the results that have been obtained. Computational experiments are performed on random data sets and show the efficiency of the methods. Finally, a conclusion and some future research directions are proposed.

Business Intelligence and its Relationship with Sales’ Increase in a Farinaceous Company at Callao

Efrain Palomino — Sat, 30 Apr 2022 07:03:44 +0000

Nowadays, globally, the use of technological tools in business has driven a significant improvement in processes, reducing costs and increasing profits; one of those tools is business intelligence. However, its use of Peru is not so common, because it is associated with high implementation costs, in addition, its benefits are not yet clearly identified in Peruvian companies due to its poor implementation and the lack of research related to the subject. In this research, the benefits obtained after the implementation of business intelligence tools in a farinaceous industrial company in Callao were evaluated and be able to determine the relationship between the use of these tools and the increase in sales. The analysis consisted of the elaboration of a questionnaire to evaluate the perception of workers regarding the use of these tools; the results obtained were statistically analyzed, using the methodology proposed by Hernández. In addition, a comparison of sales amounts and quantities was made before and after the implementation of these tools. The results show that the workers of the organization perceive an improvement in their daily activities due to the support of business intelligence tools, also the amounts and quantities sold were increased, which is confirmed by the comparison of actual amounts and quantities analyzed. It was concluded that the use of business intelligence is positively related to the increase in sales, which is a similar benefit in research by international companies, demonstrating that in Peruvian companies these tools also help business growth.

Analysis of Biodegradable and Non-Biodegradable Materials Using Selected Deep Learning Algorithms

Ipek Atik — Wed, 11 May 2022 08:17:47 +0000

It is possible to divide the materials used in the world into recyclable and nonrecyclable. Biodegradable materials contain elements naturally degraded by microorganisms such as foods, plants, fruits, etc. Waste from this material can be processed into compost. non-biodegradable materials include materials that do not naturally decompose, such as plastics, metals, inorganic elements, etc. Waste from this material can only be reused by converting it into new materials. In this study, the classification of biodegradable and non-biodegradable materials was done using deep learning methods. Convolutional Neural Network (CNN) performs steps such as preprocessing and feature extraction in classification. 5430 images were used for the dataset. 70% of this dataset was used as training data, 15% as validation data, and 15% as test data. Of the Deep Learning methods, the pre-trained neural networks AlexNet, ShuffleNet, SqueezeNet, and GoogleNet were used. For each algorithm, the performances were evaluated by classifying them as biodegradable and non-biodegradable. With this study, we can identify, track, sort, and process waste materials by classifying materials.

Information System and Marketing Channels as a Support for Small Textile Companies: Masaru S.A.

Luis Sakibaru — Wed, 11 May 2022 08:32:22 +0000

The objective of this scientific article is to implement an information system that will help small and micro enterprises to improve their processes through online service platforms, which, when related to marketing channels, will offer the construction of sustainable competitive advantages, in consistent organizations as a contribution to the global systematization of small and micro enterprises. The methodology used is applied, causal correlational, non-experimental, carried out in the field, using the survey technique and a questionnaire as an instrument. Shapiro-Wilk was applied because n < 50 (n = 28). P - Value is less than 0.05 (p=0.001 for both variables), where it does not present normal distribution. Developing the hypothesis test, the significance level is less than 0.05 (0.020), we accept the research hypothesis. It is concluded that there is a relationship in the application of an information system related to the commercialization channels as a competitive support that will improve the processes in the company Masaru S.A.