Identification of human resource analytics using machine learning algorithms

Alsaadi, Elham Mohammed Thabit A.; Khlebus, Sameerah Faris; Alabaichi, Ashwak

doi:10.12928/telkomnika.v20i5.21818

Cited by 7 publications

(4 citation statements)

References 21 publications

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“…The decision tree method is a method used to make a decision based on a rule. (Alsaadi, Khlebus, & Alabaichi, 2022) This method is also called a decision tree. (Muñoz-Rodríguez, Alonso, Pessoa, & Martín-Lucas, 2023) This method will be used to classify data on prospective students who are interested in studying at Labuhanbatu University.…”

Section: Methodsmentioning

confidence: 99%

Analysis of the Decision Tree Method for Determining Interest in Prospective Student College

Maizura

Sihombing

Dar

2023

SinkrOn

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Education is learning science, skills that are carried out by a person or a group of people. The education level starts from Elementary School Education, Junior High School and High School. Apart from that, the highest level of education is college. Lectures are further education carried out by people to gain knowledge and degrees. In college education everyone can choose their respective majors, according to their wishes and desires. With college education, there will be many prospective students who will go to college. But the interest of prospective students to study varies, there are some prospective students who want to study in public and there are some who want to study privately. Therefore the author will make research about prospective students' interest in college. This study aims to see the college interest of prospective students. For this research a data classification of prospective students will be carried out using the Decision Tree method. For this research stage using the Decision Tree method, the first is data analysis, then data preprocessing, then the Decision Tree method design and finally data mining testing. The classification was carried out using the Decision Tree method using 65 prospective student data. From the results of the classification using the Decision Tree method, the results of the Classification of prospective students who are interested in studying are 46 prospective students. The classification results above show that many prospective students are interested in studying.

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Section: Methodsmentioning

confidence: 99%

Analysis of the Decision Tree Method for Determining Interest in Prospective Student College

Maizura

Sihombing

Dar

2023

SinkrOn

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“…The research method used for determining people's interest in the Telkomsel card is the decision tree method. Method Decision tree is a construction method that is usually used as a regression and classificatio (Alsaadi, Khlebus, & Alabaichi, 2022). n this study the decision tree method was used as a method for data classification.…”

Section: Methodsmentioning

confidence: 99%

Analysis of Public Interest in Telkomsel Cards Using the Decision Tree Method

Cantika,

Yanris,

Hasibuan

2023

SinkrOn

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SIM card (Subscriber Identification Module) card is a physical electronic device that is the integrated circuit of the internet. Sim cards are used by the public as a place to store quotas for internet, phone calls and SMS. There are many types of SIM cards that are used by the public, such as Telkomsel cards, XL cards, Exis cards and Smartfren cards. There are some people who are interested and use Telkomsel cards, because the network is good. But there are some people who don't use Telkomsel cards, because the quota price is quite expensive. Therefore, the Penlus will make research about people's interest in Telkomsel cards. This study aims to determine the amount of public interest in the Telkomsel card. To conduct this research, the authors used 42 community data which would be classified using the decision tree method. The data used by the author was obtained by distributing a questionnaire to the public. After classifying using the decision tree method, the result is that the people who are interested in the Telkomsel card are 33 people who are interested in the Telkomsel card (for the representation results it is 78.5%) and the results obtained are that the people who are not interested in the Telkomsel card are 9 people (for its representation results of 21.4%). From the results of the study, many people are interested in Telkomsel cards, even though the internet, call and SMS quota prices are quite expensive.

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“…Utilizing classification algorithms for attrition prediction, the study identified decision trees as the most accurate method. Machine learning, particularly Random Forest, outperformed others, aiding HR in predicting employee attrition effectively [7].…”

Section: Related Workmentioning

confidence: 99%

Predicting HR Churn with Python and Machine Learning

Patil,

Jadhav

2023

JAZ

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Employee turnover imposes a substantial financial burden, necessitating proactive retention strategies. The aim is to leverage HR analytics, specifically employing a systematic machine learning approach, to predict the likelihood of active employees leaving the company. Using a systematic approach for supervised classification, the study leverages data on former employees to predict the probability of current employees leaving. Factors such as recruitment costs, sign-on bonuses, and onboarding productivity loss are analysed to explain when and why employees are prone to leave. The project aims to empower companies to take pre-emptive measures for retention. Contributing to HR Analytics, it provides a methodological framework applicable to various machine learning problems, optimizing human resource management, and enhancing overall workforce stability. This research contributes not only to predicting turnover but also proposes policies and strategies derived from the model's results. By understanding the root causes and timing of employee departures, companies can proactively implement measures to mitigate turnover, thereby minimizing the associated financial and operational burdens.

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Identification of human resource analytics using machine learning algorithms

Cited by 7 publications

References 21 publications

Analysis of the Decision Tree Method for Determining Interest in Prospective Student College

Analysis of the Decision Tree Method for Determining Interest in Prospective Student College

Analysis of Public Interest in Telkomsel Cards Using the Decision Tree Method

Predicting HR Churn with Python and Machine Learning

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