Impact of Soft Skills Competencies to predict Graduates getting Jobs Using Random Forest Algorithm

Nudin, Salamun Rohman; Warsito, Budi; Wibowo, Adi

doi:10.1109/icisit54091.2022.9872669

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Therefore, the real motive behind the decision to promote a forest engineer to a higher professional level could indeed be "soft" skills. Nudin et al (2022) deployed random forest algorithms to predict graduates' entrance to the labor market, while Reddy et al (2022) identified the following soft skills as important: entrepreneurship, leadership, time management, and personality development. Apparently, in a hierarchical system like the Romanian National Forest Administration (NFA), these soft skills have little to do with forestry technicalities except for leadership and time management.…”

Section: Introductionmentioning

confidence: 99%

Triggers and Halts of Professional Mobility in Public Companies: A Case Study of the Romanian Forest Administration

Iosifescu,

Drăgoi

2023

Social Sciences

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This research tried to identify the most important factors that motivate or hinder forest engineers in commuting between their household and the regional office of the National Forest Administration, or prompt them to relocate their entire family to Bucharest, where the headquarters of the NFA is located, in seeking promotion in the professional hierarchy. A survey, administered as a Google form, was designed to carry out analysis of independent benefits, opportunities, costs, and risks. The decision process was designed as an analytic hierarchy process, and each one of these factors was a separate analytic hierarchy process. We found that forest engineers tend to be very conservative when it comes to changing their professional position from the forest district to the NFA regional office or NFA top management. On the one hand, the professional opportunities to promote upwards do not compensate for the fringe benefits gained at the forest district level, while the costs of living in a larger city outweigh the benefits, even though the house rent is paid by the employer.

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Section: Introductionmentioning

confidence: 99%

Triggers and Halts of Professional Mobility in Public Companies: A Case Study of the Romanian Forest Administration

Iosifescu,

Drăgoi

2023

Social Sciences

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Time series model for the characterization and prediction of the graduation rate at the University of Cartagena

Prieto-Romero,

Chanchí-Golondrino,

Ospina-Alarcón

2024

rev. investig. desarro. innov

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For universities, characterizing graduation rates is a key indicator reflecting academic quality and the institution's ability to guide students towards successful entry into the workforce. This paper proposes a time series model for characterizing and predicting graduation rates at the University of Cartagena. Methodologically, the CRISP-DM methodology was adapted into four phases: P1. Business and data understanding, P2. Data preparation, P3. Model construction and evaluation, and P4. Deployment. As a result, various ARIMA models were implemented and evaluated to determine the best fitting model. This model serves as a reference for developing tools to support decision-making by university administrators regarding the number of graduating professionals, in line with educational quality standards.

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Impact of Soft Skills Competencies to predict Graduates getting Jobs Using Random Forest Algorithm

Cited by 2 publications

References 10 publications

Triggers and Halts of Professional Mobility in Public Companies: A Case Study of the Romanian Forest Administration

Triggers and Halts of Professional Mobility in Public Companies: A Case Study of the Romanian Forest Administration

Time series model for the characterization and prediction of the graduation rate at the University of Cartagena

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