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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal)
Slamet Sutrisno
Universitas Nusa Putra
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SENTIMENT ANALYSIS OF TEACHER PERFORMANCE ASSESSMENT (SMKS HASSINA SUKABUMI) Yossy Rosalinda; Slamet Sutrisno; Dana Budiman
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 5 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i5.4181

Abstract

Teacher performance assessment is an important instrument in improving the quality of education, especially at the Vocational High School (SMK) level. This study aims to analyze sentiment towards teacher performance assessment at SMKS Hassina Sukabumi using a sentiment analysis approach. Research data were obtained through surveys and reviews from students, colleagues, and school management who provided assessments of teacher performance based on pedagogical, professional, personality, and social indicators. The method used was text mining-based sentiment analysis with Orange software on qualitative data in the form of open responses, comments, and testimonials collected through interviews. The results showed that most assessments had positive sentiment, reflecting appreciation for teacher competence and dedication. However, negative sentiment was also found, indicating the need for improvements in aspects of learning innovation and technology utilization. These findings are expected to serve as a basis for school management in formulating more effective teacher professional development strategies, as well as input in the ongoing evaluation process to improve the quality of learning at SMKS Hassina Sukabumi.
A SENTIMENT ANALYSIS OF EMPLOYEE COMPETENCE IN BPR (PEOPLE'S ECONOMIC BANK) SUKABUMI Heri Firmansyah; Slamet Sutrisno; Dana Budiman
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 4 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i4.4182

Abstract

This study aims to analyze sentiment towards employee competency at BPR Sukabumi using a text mining approach based on sentiment analysis. Employee competency is one of the key factors in determining the effectiveness and productivity of an organization, especially in the banking sector which is highly dependent on service quality and customer trust. The data used in this study were obtained from various sources, such as internal surveys, customer reviews, and comments on social media related to BPR Sukabumi employee service. The analysis method used is sentiment analysis based on text mining with Orange software on qualitative data in the form of open responses, comments, and testimonials collected through interviews to identify patterns of public perception towards aspects of employee competency, such as communication skills, technical expertise, responsibility, and service orientation. The results of customer research and interview results show a positive view towards employee competency, with 55% satisfied responses, 35% neutral, and 10% negative. The analysis focuses on speed of service, ease of access, improvement of technical competency, and transparency of information. These findings provide important input for BPR Sukabumi management in improving employee training and development programs to strengthen the competencies needed to meet customer expectations and the challenges of the banking industry. This study provides a methodological contribution in the use of sentiment analysis for human resource evaluation in the financial services sector.
SENTIMENT ANALYSIS OF MANAGERIAL EFFECTIVENESS OF MSMEs (EMPIRICAL STUDY OF MSMEs IN CISAAT DISTRICT, SUKABUMI REGENCY) Ajiz; Dana Budiman; Slamet Sutrisno
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 6 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i6.4520

Abstract

This study aims to analyze the managerial effectiveness of Micro, Small, and Medium Enterprises (MSMEs) through a data mining-based sentiment analysis approach using Orange Data Mining software. This approach is used to examine the perceptions, experiences, and opinions of MSME actors regarding the implementation of managerial functions, which include strategic planning, organizing resources, directing and motivating, controlling and evaluating, and adapting to change. Research data was obtained through in-depth interviews with MSME actors, which were then processed using text mining techniques. The analysis process was carried out in several stages, namely text preprocessing, sentiment analysis using the VADER method, theme mapping with topic modeling based on the Latent Dirichlet Allocation (LDA) algorithm, and data visualization through word clouds, heat maps, and bar plots. The results show that the majority of respondents expressed positive sentiments towards the direction dimension, which reflects the ability of MSME managers to motivate team members. However, negative sentiments were also found regarding the control and adaptation dimensions to change, indicating a lack of consistency in evaluating and responding to market dynamics. This study confirms that the managerial effectiveness of MSMEs is not only determined by technical skills, but also by emotional intelligence, adaptive abilities, and leadership qualities in managing resources efficiently.
Co-Authors Ajiz Dana Budiman Heri Firmansyah Yossy Rosalinda