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IJIIS: International Journal of Informatics and Information Systems
Published by Bright Publisher
ISSN : -     EISSN : 25797069     DOI : https://doi.org/10.47738/ijiis
Core Subject : Science,
Computer Science & IT
The IJIIS is an international journal that aims to encourage comprehensive, multi-specialty informatics and information systems. The Journal publishes original research articles and review articles. It is an open access journal, with free access for each visitor (ijiis.org/index.php/IJIIS/); meanwhile we have set up a robust online platform and use an online submission system to ensure the international visibility and the rigid peer review process. The journal staff is committed to a quick turnaround time both in regards to peer-review and time to publication.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 5, No 4: December 2022" : 5 Documents clear
Comparison of Data Normalization for Wine Classification Using K-NN Algorithm Chandra, Rohitash; Chaudhary, Kaylash; Kumar, Akshay
International Journal of Informatics and Information Systems Vol 5, No 4: December 2022
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v5i4.145

Abstract

The range of values that are not balanced on each attribute can affect the quality of data mining results. For this reason, it is necessary to pre-process the data. This preprocessing is expected to increase the accuracy of the results from the wine dataset classification. The preprocessing method used is data transformation with normalization. There are three ways to do data transformation with normalization, namely min-max normalization, z-score normalization, and decimal scaling. Data that has been processed from each normalization method will be compared to see the results of the best classification accuracy using the K-NN algorithm. The K used in the comparisons were 1, 3, 5, 7, 9, 11. Before classifying the normalized wine dataset, it was divided into test data and training data with k-fold cross validation. The division of the data using k is equal to 10. The results of the classification test with the K-NN algorithm show that the best accuracy lies in the wine dataset which has been normalized using the min-max normalization method with K = 1 of 65.92%. The average obtained is 59.68%.
Software Defect Fault Intelligent Location and Identification Method Based on Data Mining Yang, Fan
International Journal of Informatics and Information Systems Vol 5, No 4: December 2022
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v5i4.105

Abstract

With the advancement of the times, computer technology is also constantly improving, and people's requirements for software functions are also constantly improving, and as software functions become more and more complex, developers are technically limited and teamwork is not tacitly coordinated. And so on, so in the software development process, some errors and problems will inevitably lead to software defects. The purpose of this paper is to study the intelligent location and identification methods of software defects based on data mining. This article first studies the domestic and foreign software defect fault intelligent location technology, analyzes the shortcomings of traditional software defect detection and fault detection, then introduces data mining technology in detail, and finally conducts in-depth research on software defect prediction technology. Through in-depth research on several technologies, it reduces the accidents of software equipment and delays its service life. According to the experiments in this article, the software defect location proposed in this article uses two methods to compare. The first error set is used as a unit to measure the subsequent error set software error location cost. The first error set 1F contains 19 A manually injected error program, and the average positioning cost obtained is 3.75%.
The Combined Application Technology of the Bank's TwoDimensional Aggregate Payment Code and the Vegetable Field Traceability System Zhang, Luyi
International Journal of Informatics and Information Systems Vol 5, No 4: December 2022
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v5i4.142

Abstract

With the rapid development of social economy, people's living standards and quality of life are getting better and better, and food safety is getting more and more attention. Aiming at the problem of vegetable traceability, this paper analyzes the bank's QR code scan code aggregation payment model. Secondly, it designs a green food traceability system and elaborates the realization of the main functions of the system. Practice has proved that the traceability system of green food can allow consumers to consume with confidence, and at the same time, it is convenient for the competent government departments to trace the source in time and control the quality.
Selection of Suppliers of Building Materials Using the Analytical Hierarchy Process (AHP) Method at PT. Cipta Nuansa Prima Tangerang Handayanir, Rani Irma
International Journal of Informatics and Information Systems Vol 5, No 4: December 2022
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v5i4.143

Abstract

Supplier is one of the most important parts of a construction services provider company. PT. Nuance Prima Cipta Tangerang is a contracting company that offers construction services. Since the number of suppliers, PT. Nuance Prima Cipta Tangerang difficulty in choosing suppliers with their respective advantages. Therefore, use AHP (Analytical Hierarchy Process) for supplier selection process to make it more objective. Broadly speaking, AHP (Analytical Hierarchy Process) is the process of comparing criteria into alternatives, the greater the value is generated, then the main well to the supplier selected. By using the AHP method obtained the final value for each akternatif Lead A 39%, 12% and Supplier B Supplier C 49%
Analysis of Recommended Mobile Selection Using the Weighted Product Method Yi, Sora; Jang, Yong-Chul
International Journal of Informatics and Information Systems Vol 5, No 4: December 2022
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v5i4.144

Abstract

Mobile is an electronic telecommunications device that has become a major requirement at this time, which is equipped with the advantages of the features of each device. The number of outputs or new breakthroughs from mobile phone manufacturers makes consumers have to be observant in choosing the right cellphone to use in their activities. Ignorance of the advantages and disadvantages of selected mobile phones can cause harm to consumers who use them based on their respective levels of interest. In this study, an analysis of the calculation of several alternative cell phone data will be carried out based on the criteria/attributes determined using the weighted product method which can solve the problem by multiplying to connect the attribute rating with the weighted attribute in question. It is hoped that this calculation analysis concept can become the foundation of knowledge about the weighted product method, especially in terms of selecting recommendation cellphones, as well as a basic sketch for developing the implementation of the weighted product method into future decision support system application programs.

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