Feliyanti, Fela (2021) Analisis Sentimen Dan Kapabilitas Proses Pembelajaran Daring Di Fakultas TeknologI Industri Dan Rekayasa Sistem ITS. Undergraduate thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Sejak Pandemi COVID 19 di Indonesia, Kemendikbud membuat kebijakan pembelajaran secara daring disemua level pendidikan termasuk perguruan tinggi. Secara umum, banyak permasalahan yang dihadapi pihak-pihak yang terlibat dalam proses mengajar saat pandemi. Kelemahan pembelajaran daring khususnya bagi mahasiswa teknik yang bersifat praktek sulit dilakukan. Selain itu, banyak faktor umum seperti kendala sinyal dan jaringan yang tidak stabil sangat mempengaruhi proses pembelajaran. Pembelajaran daring menimbulkan beberapa opini dan dapat mempengaruhi kapabilitas proses pembelajaran daring yang diterapkan. Oleh karena itu, untuk mengetahui hal tersebut dilakukan analisis sentimen menggunakan perhitungan kata sentimen dan analisis kapabilitas proses menggunakan peta kendali x ̅-R dan indeks kapabilitas proses. Setelah dilakukan analisis sentimen, tedapat sebanyak 58% mahasiswa mengeluarkan opini dengan sentimen negatif, 28%, sentimen positif dan 14% sentimen netral dari sampel 86 mahasiswa FTIRS-ITS. Selain itu dengan menggunakan uji-t, IPS pada pembelajaran daring meningkat signifikan sebesae 12%, dari rata-rata IPS pembelajaran luring yaitu 3,14 menjadi 3,52 saat pembelajaran daring. Akan tetapi, pembelajaran luring maupun daring menujukkan tidak kapabel walaupun proses terkendali dikarenakan Cp kurang dari satu atau Cpk kurang dari satu. Walupun demikian, indeks Cp tertinggi dicapai oleh Departemen Teknik Fisika yaitu sebesar 2,032.
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Since the COVID-19 Pandemic in Indonesia, Ministry of Education and Culture has made online learning policies at all levels of education, including universities. In general, there are many problems faced by the parties involved in the teaching process during the pandemic. The weakness of online learning, especially for engineering students is difficult to practice. In addition, many common factors such as signal constraints and unstable network greatly affect the learning process. Online learning raises several opinions and may affect the capabilities of online learning. To find this out, sentiment analysis is carried out using sentiment word calculations and process capability analysis using x -R control chart and process capability index. After sentiment analysis, there were 58% of students expressing opinions with negative sentiments, 28%, positive sentiments and 14% neutral sentiments from a sample of 86 FTIRS-ITS students. In addition, by using the t-test, social studies in online learning increased significantly by 12%, from the average social studies offline learning, which was 3.14 to 3.52 when learning online. However, offline and online learning shows that it is not capable even though the process is under control because the Cp is less than one or the Cpk is less than one. Even so, the highest Cp index was achieved by the Department of Physics Engineering, which was 2.032
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | COVID-19, FTIRS-ITS, Kapabilitas Proses, Pembelajaran Daring, Sentimen, COVID-19, Capability Proses, FTIRS-ITS ITS, Online Learning, Sentiment Analysis |
| Subjects: | Q Science Q Science > Q Science (General) > Q180.55.M38 Mathematical models |
| Divisions: | Faculty of Vocational > 49501-Business Statistics |
| Depositing User: | Fela Feliyanti |
| Date Deposited: | 25 Aug 2021 05:37 |
| Last Modified: | 25 Aug 2021 05:37 |
| URI: | http://repository.its.ac.id/id/eprint/89416 |
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