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All Journal Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer INFERENCE: Journal of English Language Teaching
Annisa Farah
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Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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THE INFLUENCE OF PERCEPTION ON LEARNING TECHNIQUES AND VOCABULARY MASTERY TOWARD ENGLISH WRITING ABILITY (Survey on Students of Public Vocational High School in Central Jakarta) Annisa Farah; Doni Anggoro Ari Santoso
INFERENCE: Journal of English Language Teaching Vol 5, No 3 (2022): INFERENCE: Journal of English Language Teaching
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/inference.v5i3.8705

Abstract

The purpose of this study is to determine the effect of learning technique and vocabulary mastery on the English writing ability of students of XI grade of Public Vocational High School in Central Jakarta. The research method used is quantitative research with correlational survey research techniques. The data analysis technique used in this research is Path Analysis. The population in this study was students of XI grade of Public Vocational High School (SMK Negeri) in Central Jakarta area. The sample in this study was 110 students. The results of the study prove that: (1) there is a significant influence of perception on learning technique toward English writing ability as indicated by the t-count = 1.865, (2) there is a significant influence of perception on vocabulary mastery toward English writing ability as indicated by the t-count value = 16,733, and (3) there is a significant influence of perception on learning technique and vocabulary mastery together toward the ability to write English as indicated by the value of F-count = 161.202. The results of this study can provide input to vocational level teachers, especially English teachers to improve their competence in order to develop learning techniques and improve students’ vocabulary mastery, so as to optimize students' English writing ability.
Analisis Sentimen terhadap Ulasan Cashless Menggunakan Metode Knowledge Discovery Databases Berbasis Web Annisa Farah; Edy Rahman Syahputra
Jurnal ilmiah Sistem Informasi dan Ilmu Komputer Vol. 5 No. 3 (2025): November: Jurnal ilmiah Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juisik.v5i3.1507

Abstract

Sentiment analysis is the process of automatically extracting, processing, and understanding unstructured text data to obtain sentiment information contained in an opinion. This study conducted a sentiment analysis of cashless reviews using a web-based knowledge discovery database method. The knowledge discovery database method aims to extract hidden knowledge or information in previously unknown data, through the stages of data selection, preprocessing, transformation, data mining, and evaluation of 300 training data and 250 test data. Based on the original labels, there were 46 positive comments and 204 negative comments, while the prediction results showed 34 positive comments and 216 negative comments. The evaluation process produced an accuracy rate of 83.2% for positive labels and 83.2% for negative labels. The precision and recall values differed for each label, namely: positive labels had a precision of 55.88% and negative labels of 87.50%; positive labels had a recall of 41.30% and negative labels of 92.65%. Based on these scores, negative reviews were more dominant than positive reviews regarding the use of cashless. Positive sentiment focused on the ease of transactions through cashless payments, while negative sentiment focused on technical issues during payments, refunds, and frozen PayLater accounts. Therefore, e-commerce platforms implementing cashless payments need to provide better education and ensure transparency of digital processes to ensure users feel safer and more comfortable with cashless transactions.
Co-Authors Edy Rahman Syahputra Santoso, Doni Anggoro Ari