SENTIMENT ANALYSIS OF SERVANT LEADERSHIP IN SMP IT INSAN MANDIRI
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Totong Suparman
Dana Budiman
Nur Hasan Kurniawan
This study aims to analyze sentiments toward servant leadership practices at SMP IT Insan Mandiri Sukabumi. Servant leadership emphasizes the values of devotion, empathy, and empowerment toward organizational members, in this case teachers, staff, students, and parents. This study uses a qualitative approach with methods. The method used is sentiment analysis based on text mining with Orange software on qualitative data in the form of open responses, comments, and testimonies, and testimonies, collected through interviews. The results of the analysis indicate that the majority of teachers have positive sentiments toward the implementation of servant leadership by the principal who is considered supportive, open, and builds a collaborative work atmosphere. However, there are also a small number of neutral and negative sentiments related to the lack of consistency in the implementation of servant leadership values at the operational level. This study recommends strengthening internal communication, continuous leadership training, and participatory evaluation as strategies to improve leadership quality. These findings are expected to be an important contribution in developing a more humanistic educational leadership model that is responsive to the needs of the school community.
Amirudin, A., Nuraini, P., Widodo, W., Saputra, H., & Nurjannah, S. (2025). The implementation of the servant leadership model in Elementary School 007 Pangkalan Kerinci. Al Hikmah: JournalReligion and Science, 22(1), xx–xx.https://doi.org/10.25299/ajaip.2025.vo l22(1).21745
Eva, N., Robin, M., Sendjaya, S., van Dierendonck, D., & Liden, R.C. (2019). The development and validation of a multidimensional measure of servant leadership. Journal of Business and Psychology, 34(5), 555–568. https://doi.org/10.1007/s10869-018- 9601-9
Greenleaf, R. K. (1970). The servant as leader. Indianapolis, IN: The Robert K. Greenleaf Center.
Hidayat, D., Maitimo, VVS, & Suwu, SE(2020). Increasing teachers' work engagement through servant leadership, organizational culture, and job satisfaction. Journal of Education and Teaching. [Add volume/number and DOI/URL if available]
Hermanto, YB, & Srimulyani, VA (2022). The role of servant leadership and workengagement in improving extra-role behavior and teacher performance. International Journal of Productivity and Quality Management, 35(1), 57–77.https://doi.org/10.1504/IJPQM.2022. 120711
ResearchGate
Liu, B. (2010). Sentiment analysis and subjectivity. In N. Indurkhya & F. J. Damerau (Eds.), Handbook of Natural Language Processing (pp. 627–666). Chapman & Hall/CRC.
Liu, B. (2012). Sentiment analysis and opinion mining (Synthesis Lectures on Human Language Technologies). Morgan & Claypool Publishers.
Mooney, R. J. (2006). Text mining: Automatic text learning and text classification. University of Texas.
Prasetyono, A., & al. (nd). Improving innovative work behavior of teachers in pioneering schools through work engagement and servant leadership. Research and Development Journal of Education. Retrieved from journal.lppmunindra.ac.id [Add access date and complete DOI/URL if available]
Rani, S., & Arora, J. (2016). Text preprocessing: A prerequisite for text mining. International Journal of Computer Applications, 139(1), 1–6.
Sagala, RW, & Toba, H. (2021). Sentiment analysis using lexicon-based and machine learning. Journal of Computer Technology and Systems, 9(3), 1–7.
Santosa, F., Adrianto, A., Syamsir, S., & Khaidir, A. (2019). The influence of servant leadership and school organizational culture on teacher performance at public senior high schools in Padang City. Publisia: Journal of Public Administration Science. University of Muhammadiyah Malang. [Add volume and number and DOI/URL if available]
Sianipar, BH, Nabila, AB, & Jalinus, N. (2024). Literature review: Transformative, Servant, and Digital Leadership: Shaping the Future of Education in Indonesia. Borneo Journal of Islamic Education. UINSI Journal. [Add volume/number and DOI/URL if available]
Turland, M. (2010). Web scraping with Python. Packt Publishing.
Y, B., Zhao, Y., & Chen, W. (2016). Topic modeling methods and applications: A survey. Journal of Computational and Theoretical Nanoscience, 13(1), 1–12.
Zulhanif, Z. (2016). Automatic topic analysis using Latent Dirichlet Allocation. Journal of Information Technology and Computer Science (JTIIK), 3(1), 27–
Ayani, I., Prayoga, A., & Mulyana, S. (2019).Web scraping of public opinion data for sentiment analysis. Journal of Information Technology and Computer Science (JTIIK), 6(4), 433–440.
