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All Journal Jurnal Komputer Indonesia Jurnal Gotong Royong
Trianggara, Dimas Aulia
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Application Of Text Mining In Grouping Thesis Topics Using TF-IDF Method Based On Thesis Abstract Andreswari, Delsy; Suranti, Dewi; Trianggara, Dimas Aulia
Jurnal Komputer Indonesia Vol. 3 No. 2 (2024): Desember
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v3i2.634

Abstract

UPT (Technical Service Unit) Dehasen University Bengkulu Library documents student theses based on study programmes using the Slims 9 (Bulian) application. One of them is the Informatics Study Programme, Faculty of Computer Science, where there is a specialisation in software engineering and networking that distinguishes one thesis from another. This sometimes makes it difficult for the library to provide information to students who are looking for references, due to the large amount of thesis data that is managed and the difficulty in obtaining information on the percentage of the number of thesis topics from each thesis document. The application of text mining in grouping thesis topics using the TF-IDF Method based on thesis abstracts at the Dehasen University Library Bengkulu can help library staff in grouping theses in more detail for the same topic or theme, help library staff quickly find theses that are relevant to user needs, and can find out information on the percentage of the number of thesis topics from each title and abstract that has been submitted, especially in students of the Informatics Study Program, Faculty of Computer Science. The system has uploaded training data as much as 25 data which is used as the basis for the calculation of the TF-IDF Method. In the TF-IDF Method there are several processes that occur, namely Tokenizing, Filtering, Stemming and the final value of tf-idf. Based on testing that has been done on testing data as much as 3 thesis data, the results show that 2 theses belong to the data mining thesis topic group with a percentage of 66.77% and 1 thesis belongs to the decision support system thesis topic group with a percentage of 33.33%.
Pemanfaatan Kecerdasan Buatan (AI) Dalam Pendidikan Trianggara, Dimas Aulia; Sapri, Sapri; Supardi, Reno; Sari, Dian Mardiati; Sartika, Devi; Robmawa, Eko Prasetyo
Jurnal Gotong Royong Vol 1 No 1 (2024): Mei
Publisher : LPPM Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/gotong royong.v1i1.6649

Abstract

The aim of this research is to assess student satisfaction with the learning system at SMA Negeri 6 Kepahiang. The survey method was used to collect data from students at SMA Negeri 6 Kepahiang. The sample for this research consisted of 100 students selected randomly. The research instrument is a questionnaire containing 8 items which assess opinions regarding the teacher's presence, regarding the teacher's competency/ability, regarding the teacher's learning system in the classroom, the teacher's responsiveness in explaining and answering questions, the teacher's concern for students in the class, the infrastructure and facilities used, The teacher's delivery of learning is in accordance with the learning design, and your opinion on the communication provided by the teacher in class. The research results show that the majority of students are satisfied with the learning system at SMA Negeri 6 Kepahiang. However, there are several aspects that need to be improved, such as the quality of facilities and interaction between teachers and students. Apart from that, some students also feel dissatisfied with the learning atmosphere at SMA Negeri 6 Kepahiang. This research can provide important information for schools to improve the quality of learning systems and meet students' needs in teaching and learning.
Co-Authors Andreswari, Delsy Robmawa, Eko Prasetyo sapri sapri Sari, Dian Mardiati Sartika, Devi Supardi, Reno Suranti, Dewi