Abstract:This research is entitled “Taboo Words in the film The Karate Kid by Stanlay Tong A Sociolinguistic Analysis”. The objectives of this research are identifying, classifying, and analyzing the types of taboo words. This research…
s research uses a descriptive method. There are were three steps to finish this research, the first step is preparation, the data taboo words in the film The Karate Kid by Stanlay Tong were taken from internet and understanding the movie script, also read some books like journal. The second step the writer watches The Karate Kid movie, printed script of the movie, then the writer reads the script and find out the conversations that contain taboo words. The third step is the data were analyzed using theory of Wardhaugh uses seven types of taboo words (1986). The results of this research show that there are 103 taboo words found in The Karate Kid. According to theory of Wardhaugh, there are seven types of taboo words, those are taboo words related to mother in law, animal, sex, death, excretion, bodily function, and religion. The findings of this research support the theory of Wardhaugh
Abstract:This study aims to analyze the representation of heroic narratives in two movies adaptations of Greek mythology, Clash of the Titans (2010) and Wrath of the Titans (2012), through a comparative literature approach and Vladimir…
adimir Propp's narratology. The main character Perseus is the center of attention in the study of narrative structure because of his role as a mythological hero who faces a series of challenges that are full of values of courage, sacrifice, and determination. Propp's theory is used to identify narrative functions such as dispatch, magical agent, struggle, and transfiguration that appear in both movies. The method used is qualitative with content analysis technique by comparing the stories, characters, and moral messages as well as narrative functions in the two movies with the theme of Greek mythology. The results show that the comparison of the narrative structure of the two movies with the character Perseus has strengths in the dramatic aspects of heroic attitudes in accepting choices and fighting for life so that the integration of heroic material can be adapted to literature learning involving character values. This finding confirms that the narratological approach through comparative literature can be an important pedagogical tool to teach story structures with character values through popular media. This research recommends the utilization of mythological movies in literature learning and character education at various levels of education as a means of strengthening narrative literacy and understanding moral values.
Abstract:The principal purpose of this study was to find out; (1) Is there students interested in watching Harry Potter and philosopher’s stone by J.K rowling movie (X) in their listening comprehension (Y), (2) Is there any correlation…
orrelation between students‘ interested in watching Harry Potter and the philosopher’s stone by J.K Rowling movie (X) to listening comprehension (Y). It was carried out to the class XI Science students of SMA Mutiara Palabuhanratu. In this research, a quantitative method is used with the Pearson product moment correlation study to answer the research problem. The population of this research is the students of SMA Mutiara Palabuhanratu class XI IPA for the academic year 2021/2022, totaling 30 students. The sample used is the total population. Tests and questionnaires were used to collect data. After getting the data, the researcher corrected and analyzed the test results. Data analysis using Pearson Product Moment Correlation. The results of the study indicate that the level of significance between the variables X and Y based on the results of the correlation value above rcount = 0.481 rtable (5%) (df = n-2 = 30-2 = 28) rtable = 0.374. So it is clearly stated that rcount is higher than rtable or 0.05 <0.374. The result of the correlation coefficient between the two variables is 0.481. That result indicated that there was a medium correlation between students’ interested s in watching Harry Potter movie and their listening comprehension. This statement was proved based on the result rxy was higher than the rtable (0,481 ≥ 0,374 in significant level 5%) it showed that the null hypothesis (Ho) “There is no relationship between students’ interested in watching Harry Potter movie and their listening comprehension” is rejected and the alternative hypothesis (H1), “There is a positive relationship between students’ interested in watching Harry Potter movie and their listening comprehension” is accepted.
Abstract:This Research discuss about Movies or dramas have great influence and can be used as an effective propaganda tool. Lasswell said that propaganda is the control of opinion through meaningful symbols or conveying concrete…
and accurate opinions through stories. The purpose of this study is to describe the impact of the Film of Korean Drama Crash Landing On You on the relationship between South Korea and North Korea and K-Drama in International Relations especially in the propaganda issue of the Crash Landing On You drama, as well as describing how propaganda can be spread through the Crash Landing On You drama series. By using a method with a qualitative research approach and explanatory research type with sources from books, papers, journals, theses, and articles related to the problems in the research. The result of this study is the impact on Korean relations which is getting worse as a result of the depiction of North Korea in the Crash Landing On You series
Abstract:Abstract: Digital technology has expanded the usage of mobile apps like M-Tix for movie ticket booking. The success of an app depends on its features, user experience, and technical acceptability. The User Experience Questionnaire…
stionnaire (UEQ) and Technology acceptability Model (TAM) will be used to examine how user experience affects technology acceptability and M-Tix application usage in Manokwari Regency. Quantitative methods were used with 149 respondents. SmartPLS 4 was used to analyse data using PLS-SEM. Researchers found that Hedonic Quality positively impacts Perceived Usefulness (β=0.288; p=0.005). Pragmatic Quality significantly impacts Perceived Ease of Use (β=0.651; p<0.001) and Usefulness (β=0.372; p=0.002). Additionally, Perceived Ease of Use (β=0.180; p=0.043) and Usefulness (β=0.453; p<0.001) favourably impact Behavioural Intention. However, Perceived Ease of Use does not substantially impact Perceived Usefulness (β=0.105; p=0.265). These data show that user experience is crucial to technological adoption and M-Tix application usage.
Keywords: m-tix; PLS-SEM; technology acceptance model (TAM); user experience; user experience questionnaire (UEQ).
Abstrak: Teknologi digital telah memperluas penggunaan aplikasi seluler seperti M-Tix untuk pemesanan tiket film. Keberhasilan suatu aplikasi bergantung pada fitur-fiturnya, pengalaman pengguna, dan penerimaan teknis. Kuesioner Pengalaman Pengguna (UEQ) dan Model Penerimaan Teknologi (TAM) akan digunakan untuk meneliti bagaimana pengalaman pengguna memengaruhi penerimaan teknologi dan penggunaan aplikasi M-Tix di Kabupaten Manokwari. Metode kuantitatif digunakan dengan 149 responden. SmartPLS 4 digunakan untuk menganalisis data menggunakan PLS-SEM. Peneliti menemukan bahwa Kualitas Hedonik berdampak positif pada Kegunaan yang Dirasakan (β=0,288; p=0,005). Kualitas Pragmatis berdampak signifikan pada Kemudahan Penggunaan yang Dirasakan (β=0,651; p<0,001) dan Kegunaan (β=0,372; p=0,002). Selain itu, Kemudahan Penggunaan yang Dirasakan (β=0,180; p=0,043) dan Kegunaan (β=0,453; p<0,001) berdampak positif terhadap Niat Perilaku. Namun, Kemudahan Penggunaan yang Dirasakan tidak berdampak signifikan terhadap Kegunaan yang Dirasakan (β=0,105; p=0,265). Data ini menunjukkan bahwa pengalaman pengguna sangat penting untuk adopsi teknologi dan penggunaan aplikasi M-Tix.
Kata kunci: m-tix; PLS-SEM; technology acceptance model (TAM); user experience; user experience questionnaire (UEQ).
Abstract:Abstract: Recommendation systems are becoming increasingly important with the growth of streaming platforms. The purpose of this study is to compare the performance of Content-Based Filtering, Neural Collaborative Filtering,…
ing, and a combination of both in a movie recommendation system. The method used in this study involves retrieving movie details from the TMDB API and ratings from the MovieLens 32M Dataset (2010-2023). Each model's performance is evaluated using evaluation metrics such as RMSE and MAE. The results of this study indicate that Neural Collaborative Filtering achieves the best prediction performance (RMSE = 0.785423, MAE = 0.581262), followed by the hybrid model (RMSE = 0.800863, MAE = 0.660872), while Content-Based Filtering produces low performance and limits the capabilities of the hybrid model. In conclusion, these findings highlight the superiority of latent feature-based models such as NCF that learn directly from user interaction patterns over content-based approaches in the context of modern recommendation systems.
Keywords: content-based filtering; hybrid filtering; movie recommendation; neural collaborative filtering.
Abstrak: Sistem rekomendasi menjadi semakin penting seiring berkembangnya platform streaming. Tujuan dari penelitian ini adalah membandingkan kinerja Content-Based Filtering, Neural Collaborative Filtering dan kombinasi keduanya dalam sistem rekomendasi film. Metode yang digunakan dalam penelitian ini melibatkan pengambilan detail film dari TMDB API dan rating dari dataset MovieLens 32M Dataset (2010-2023). Setiap peforma model dievaluasi dengan menggunakan metrik evaluasi seperti RMSE dan MAE. Hasil dari penelitian ini menunjukkan bahwa Neural Collaborative Filtering mencapai kinerja prediksi terbaik (RMSE = 0.785423, MAE = 0.581262), diikuti oleh model hybrid (RMSE = 0.800863, MAE = 0.660872), sementara Content-Based Filtering menghasilkankan peforma yang rendah dan membatasi kemampuan model hybrid. Kesimpulannya, penelitian ini menyoroti superiotas model berbasis latent feature seperti NCF yang belajar langsung dari pola interaksi pengguna dibandingkan pendekatan berbasis konten dalam konteks sistem rekomendasi modern.
Kata kunci: content-based filtering; hybrid filtering; neural collaborative filtering; rekomendasi film.
Abstract:Abstract: There are a great number of academics that are now conducting research on sentiment analysis by employing supervised and machine learning techniques. The research can be carried out with the assistance of a variety…
iety of sources, including reviews of movies, reviews of Twitter, reviews of online products, blogs, discussion forums, and other social networks. With the progress of technology, individuals may now effortlessly utilize social media platforms to access and share information, as well as express their viewpoints to the general public, without any constraints of distance or time. Twitter is a social media network that serves as a repository for opinions. Diverse techniques are employed to provide optimal and realistically precise pressure detection. The analysis and discussion affirm that the Support Vector Machine (SVM) was effectively employed in this study, utilizing public opinion data on television program reviews in Indonesia. An SVM classifier is employed to examine the Twitter data set by utilizing various parameters. The study successfully completed the preprocessing process by collecting a total of 400 data points, consisting of 320 reviews from 4 television shows for training data and 80 reviews for testing. The data was filtered and classified using SVM, with 200 positive and 200 negative data points for comparison. The experiment utilized the SVM method using TF-IDF to achieve the most accurate test results. The test accuracy was 80%, while the training data accuracy reached 100%.
Keywords: Sentiment Analysis; Support Vector Machine; Television Shows Review, TF-IDF,
Abstrak: Saat ini, banyak akademisi sedang menyelidiki analisis sentimen melalui pemanfaatan teknik yang diawasi dan pembelajaran mesin. Kajian dapat dilakukan dengan menggunakan beberapa sumber seperti review film, review Twitter, review produk online, blog, forum diskusi, atau jejaring sosial lainnya. Dengan kemajuan teknologi, masyarakat kini dapat dengan mudah memanfaatkan platform media sosial untuk mengakses dan berbagi informasi, serta menyampaikan pandangan mereka kepada masyarakat umum, tanpa batasan jarak dan waktu. Twitter adalah jaringan media sosial yang berfungsi sebagai gudang opini. Beragam teknik digunakan untuk menghasilkan deteksi tekanan yang optimal dan presisi secara realistis. Analisis dan pembahasan menegaskan bahwa Support Vector Machine (SVM) efektif digunakan dalam penelitian ini, memanfaatkan data opini publik tentang review program televisi di Indonesia. Pengklasifikasi SVM digunakan untuk memeriksa kumpulan data Twitter dengan memanfaatkan berbagai parameter. Penelitian berhasil menyelesaikan proses preprocessing dengan mengumpulkan total 400 titik data yang terdiri dari 320 review dari 4 acara televisi untuk data pelatihan dan 80 review untuk pengujian. Data disaring dan diklasifikasikan menggunakan SVM, dengan 200 titik data positif dan 200 titik data negatif sebagai perbandingan. Percobaan ini menggunakan metode SVM dengan menggunakan TF-IDF untuk mencapai hasil pengujian yang paling akurat. Akurasi pengujiannya mencapai 80%, sedangkan akurasi data pelatihan mencapai 100%.
Kata kunci: Analisis Sentimen, Review Tayangan Televisi, TF-IDF, Support Vector Machine
Abstract:This research title explores the characteristics of motherhood as represented by the character Mother in Micahel Lloyd Green’s I Am Mother. The research focuses on one of the characteristics is nurturing. This research using…
using a qualitative film analysis approach and obtain the data from the movie script. The findings demonstrate that the character Mother in I Am Mother embodies aspects of motherhood through the characteristic of nurturing behavior by providing food, education, protection, and guidance for Daughter’s development additionally, Mother’s strict control and manipulation of Daughter add complexity to the definition of ideal caregiving. This research concludes that I Am Mother reconstructs the concept of motherhood by integrating human and technological elements. The film suggests that nurturing is not limited to biological mother but can also be fulfilled by artificial intellegence.
Abstract:Disassociation is stated by Karantzas’ through the lens of Jeff Rendell's Thanksgiving film script by analyzing the dynamics of disassociation from the characters' Shariff Eric in this movie script. This study aims to show…
show how the rejection of human nature, manifested through the denial of emotion, warmth, and flexibility, can lead to the experience of dissociation and its psychological and emotional consequences. Thanksgiving movie script is a massacre thriller movie script which is motivated by an endless sense of revenge, which is carried out by the character Sheriff Eric. He has lost a loved one and his future, as a result of thanksgiving night at that time. Then what about the concept of disassociation related in Jeff Rendell Thanksgiving movie script? Through qualitative methods, this study explains how the rejection of human nature. In conclusion, this story shows how a person can lose their humanity.
Abstract:This study examines the frenemy relationship between Emily and Stephanie in A Simple Favor. Their friendship is complex, blending admiration, competition, and manipulation. Stephanie looks up to Emily but also struggles…
with insecurity, while Emily enjoys maintaining control over Stephanie. Using a qualitative method, this research identifies key factors contributing to their frenemy dynamic, including social comparison, insecurity, past betrayals, and cultural expectations. The findings reveal that their relationship is shaped by both emotional dependence and hidden rivalry, leading to an unstable and toxic bond. Finally, the study highlights how friendships can mask deeper conflicts, where trust and betrayal coexist.