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All Journal Jurnal Manajemen Pendidikan Penelitian Kualitatif Indonesian Journal of Business Intelligence (IJUBI)
Nabilla, Shalsa
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Computer Science & IT Decision Sciences, Operations Research & Management Education

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PERAN PENGAWASAN KEPALA SEKOLAH DALAM SUPERVISI PENDIDIKAN: STUDI KASUS PADA KINERJA GURU Nabilla, Shalsa; Sari, Gita Puspita; Kinanthi, Ajeng Cindy; Selviana, Selviana; Panjaitan, Keiza; Wijaya, Hansein Arif
Jurnal Manajemen Pendidikan Penelitian Kualitatif Vol 7, No 2 (2023)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jmppk.7.2.p.47-53

Abstract

The purpose of this study is to explain the role of principal supervisors in educational supervision: focusing on teacher performance. This research was conducted through a qualitative approach and used a descriptive qualitative research type. A deputy principal was the respondent of this study. Interviews, documentation and observation were used to collect data. Analyzing the data using field analysis based on the Miles and Huberman model, which goes through three steps: data reduction, data presentation and conclusion drawing. The results show that principals have a very important role in managing and improving the quality of education in schools and the use of the Electronic Performance (E-Kinerja) application strengthens supervision of teacher and staff performance. Despite identifying some obstacles, such as teachers' tardiness and the low attendance of administrative staff, principals take a solutive approach.
SENTIMENT ANALYSIS UNTUK REVIEW DESTINASI WISATA UNGGULAN GUNUNG KIDUL MENGGUNAKAN METODE LEXICON DAN PIVOT Larasati, Larasati; Nabilla, Shalsa; Haryanto, Eri
Indonesian Journal of Business Intelligence (IJUBI) Vol 5 No 2 (2022): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v5i2.2604

Abstract

Sentiment analysis is the process of using text analytics to get various data sources from the internet and various social media platforms. Comment data is obtained through Twitter social media. This classification is used to determine how comments interpret tourist attractions in Gunungkidul. Lexicon-based and Pivoting are used to group people's opinions into three classes: positive, negative, and neutral sentiments. This method is used to classify the results of community comment data written as community satisfaction with tourism in Gunungkidul. This study aims to discover people's opinions about tourism in Gunungkidul during the Covid-19 pandemic. The results of this study are used to determine the classification of community comment data so that services can be easily developed through comments provided by the community. The sentiment analysis results contained the categories of positive emotions 51%, negative 1%, and neutral 48%.
Co-Authors Hansein Arif Wijaya Haryanto, Eri Kinanthi, Ajeng Cindy Larasati Larasati Panjaitan, Keiza Sari, Gita Puspita Selviana Selviana