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International Journal of Integrated Science and Technology
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 30264685     DOI : https://doi.org/10.59890/ijist.v2i2
Core Subject : Science, Education, Social,
Computer Science & IT Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Social Sciences
International Journal of Integrated Science and Technology (IJIST) is a scientific multidisciplinary research journal published by Multitech Publisher. The aim of this journal publication is to disseminate the research results, conceptual thoughts, improved research methodologies, and ideas that have been achieved in any area of research. The accepted articles are going to be published in the monthly publication. Any interested authors are required to submit their manuscripts in English. The mission of the International Journal of Integrated Science and Technology (IJIST) is to promote excellence by providing a venue for academics, students, and practitioners to publish current and significant empirical and conceptual research in the Enginering; health sciences; information technology; computer scince; religion; arts; business; humanities; applied, natural, and social sciences; and other areas that tests, extends, or builds theory. The International Journal of Integrated Science and Technology (IJIST) is a double-blind, peer reviewed, open access journal.
Arjuna Subject : Umum - Umum
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 10 (2024): October 2024" : 5 Documents clear
Highly Accurate Customer Churn Prediction in the Telecommunications Industry Using MLP Rabih, Rahimullah; Weifeng Sun; Majid Ayoubi; Khan Wahib Jamal
International Journal of Integrated Science and Technology Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i10.2564

Abstract

Predicting customer Churn is of principal importance for many businesses, as it directly influences the continued utilization of company products by consumers and has a significant impact on company’s financial health and sustainability. However, accurately forecasting customer attrition within the telecommunications sector presents considerable challenges. In response to this need, we propose a novel and highly accurate churn prediction model utilizing a Multilayer Perceptron (MLP) architecture. Our methodology begins with thorough data preprocessing, followed by the application of MLP to predict customer Churn. By employing the Synthetic Minority Over-sampling Technique (SMOTE) and iterative balancing, our proposed model has demonstrated an accuracy improvement of at least 5%, alongside a minimum 5% increase in the F1-score, when compared to existing state-of-the-art algorithms on the widely recognized Telco-Customer-Churn dataset. This research not only expands the opportunities for enhancing the interpretability of predictive models but also fosters a deeper understanding of Churn prediction mechanisms. Ultimately, these advancements contribute to the commercial sustainability and financial stability of telecommunications companies by facilitating more informed decision-making processes regarding customer retention strategies.
The Influence of Return on Equity and Debt to Asset Ratio on Financial Distress in Properties Subsector Companies and Registered Real Estate on the Indonesian Stock Exchange Period 2015-2023 Ratna Dumilah
International Journal of Integrated Science and Technology Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i10.2572

Abstract

This research aims to determine the effect of return on equity and debt to asset ratio on financial distress. The research method used is an associative descriptive method with a quantitative approach. The population in this research is the Properties and Real Estate subsector companies listed on the Indonesia Stock Exchange for the 2015-2023 period. The sample for this research was determined using a Purposive Sampling technique and obtained 4 companies in the Properties and Real Estate subsector with an observation period of nine years to obtain 36 sample data. Hypothesis testing in this research uses panel data regression analysis using the E-Views 12 program and the confidence level used is 5%. The results of this research show that simultaneously return on equity and debt to asset ratio have a significant effect on financial distress with a significance of 0.0000 < 0.05 and f-count > f-table (34.14013 > 3.327654499) and the coefficient of determination using Adjusted R-Squared is equal to 61.73% while the remaining 65.44% was influenced by other variables not examined in this research. Meanwhile, partially return on equity has a significant positive effect on financial distress with a significance of 0.0018 < 0.05 and t-count > t-table (3.387986 < 2.04227), debt to asset ratio has a significant negative effect on financial distress with a significance of 0.0004 < 0.05 and t-count > t-table (|-3.912824| > 2.04227).
Decision Support System for Permanent Employee Selection at PT XYZ with Moora Method Bagas Setiyaki Wicaksono; Budi Apriyanto; Azhar Fathoni
International Journal of Integrated Science and Technology Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i10.2577

Abstract

Using the multi-objective optimization method based on ratio analysis (MOORA), the purpose of this research is to develop a decision support system that will help the selection process of permanent employees at PT XYZ. In order to improve the productivity and operational efficiency of the company, a proper employee selection process is essential. Nonetheless, many factors influence the decision taken, which is often subjective. Therefore, a systematic approach is needed to help managers assess and select potential employees based on predefined standards. The MOORA method was chosen because it is able to provide optimal solutions for a variety of different criteria. The identification of employee selection criteria, the collection of employee candidate data, and the use of the MOORA method to generate employee candidate rankings are all actions performed in this study. The criteria used include work experience, education The purpose of this research is to create a system that supports the process, skills, and attitudes in decision making. The results of this system show that MOORA has the ability to provide more objective and transparent recommendations in the employee selection process than conventional methods.  The results of the analysis show that this system helps decision making and increases managers' confidence in choosing employees who match the company's needs. PT XYZ hopes to use this decision support system to reduce errors in the employee selection process and help achieve the company's strategic goals. It is hoped that this research will help the process of developing decision support systems in the field of human resources.
Comparison of ReLu Activation and Logistics Functions in Classification of Casting Product Defects with Perceptron Multilayer Approach Apriyandi M; Muhamad Fatchan; Suratman
International Journal of Integrated Science and Technology Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i10.2596

Abstract

In the industrial sector, production quality is very important for company operations and must be managed effectively. ISO 9001 emphasizes quality management to direct processes and improve organizational efficiency. Quality control is important to prevent defects in materials, because foundry production must produce high quality materials so that they can be used in the long term. ISO 14001 environmental management environment, with high output impacts on the environment due to lack of transparency. This research uses ReLu and Logistics Activities to improve casting quality using multilayer perceptron technology, finding that ReLu activities have a higher dominance (99%) compared to other actives.
A Software Architecture Model to Manage Heterogeneous Data using Edge Computing in 5G Environment Ayoubi, Majid; Safi, Abdul Rahman; Niazi, Jawid Ahmad
International Journal of Integrated Science and Technology Vol. 2 No. 10 (2024): October 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijist.v2i10.2620

Abstract

With the improvement of 5G communication service, the need for edge computing has become more apparent. The Mobile Edge Computing service (MEC) has become one of the best solutions for mobile User Equipment (UE) data processing. MEC provides more context-aware local processing of UE's data. Meanwhile, the MEC needs to manage the heterogeneous nature of UEs and the type of data format they provide. Therefore, a Heterogeneous Data Service Bus is developed to manage different types of data formats and organize them in efficient manner. We propose a software architecture model to address the management of data heterogeneity within computing edges. The architecture discussion showcases its applicability and proper handling of heterogeneous data in the Edge Computing Environment.

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