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PENGARUH MEDIA SOSIAL FACEBOOK TERHADAP KARAKTER DISIPLIN PESERTA DIDIK KELAS X DI SMK NEGERI 4 SELAYAR Bakhtiar, Bakhtiar; Agus, Andi Aco; SARI, NITA
Jurnal Tomalebbi Volume 11, Nomor 4 (Desember 2024)
Publisher : Jurusan Pendidikan Pancasila dan Kewarganegaraan (PPKn)

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Abstract

The Influence of Facebook Social Media on the Disciplinary Character of Class X Students at SMK Negeri 4 Selayar. Thesis. Study program Pancasila and Citizenship Education, Civics Law Department Makassar State University Faculty of Social Sciences and Law. Supervisor Bakhtiar and supervisor II Andi Aco Agus. This research aims to: 1). Knowing the use of Facebook of class X students at SMK Negeri 4 Selayar. 2). Knowing the character of class X students at SMK Negeri 4 Selayar. 3). To find out whether there is a significant influence between the use of Facebook on the character formation of class X students at SMK Negeri 4 Selayar. The research method used in this research is method quantitative with two variables, namely social media Facebook as a variable free (independent variable) and discipline character as the dependent variable (dependent variable). With data collection techniques using questionnaires and instruments used in this research. In data analysis techniques, researchers use descriptive statistical analysis and inferential statistical analysis. The sample was 76 students from a population of 76 students, the sampling technique used Total Sampling. Based on the results of research and data analysis carried out by researchers, it can be concluded that the results of collecting research data from 76 students who were given questionnaires were then tested using a simple linear regression formula, obtained a = 46.584, b = 0.026 so that Y = 46.58+0.026 X . The use of social media Facebook influences the discipline character of students. Using the product moment correlation test with a significance level of 5%, the results obtained show that the calculated r value is greater than the table r value. Because r calculated > r table = 0.831 < 0.227 then Ho is rejected and Ha is accepted. This shows that there is an influence of the use of social media Facebook on the discipline character of class X students at SMK Negeri 4 Selayar. Furthermore, the results of calculating the contribution of variable This means that the student's discipline character value is 0.69% determined by the social media Facebook. The remaining 0.31% is determined by other variables.
A Hybrid IndoBERT-SERVQUAL Approach for Patient Satisfaction Evaluation in Hospital Services Sari, Nita; A. Aviv Mahmudi; Fajar Sodiq
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16562

Abstract

The development of information and communication technology (ICT) provides opportunities for healthcare institutions to improve service quality through the digitisation of patient satisfaction evaluation processes. XYZ Hospital still uses manual methods to measure patient satisfaction, resulting in a slow and error-prone recapitulation process. This study aims to design and implement a sentiment analysis-based patient satisfaction system using the IndoBERT method integrated with quantitative Likert scale measurements based on the SERVQUAL dimensions. The IndoBERT model is used to classify positive and negative sentiments, while the Likert score provides a numerical representation of service quality. The study uses a hybrid approach by processing qualitative data in the form of 2,358 patient text reviews and quantitative data from the SERVQUAL questionnaire, which has been tested for validity and reliability. The IndoBERT model was trained and tested with an 80:20 data split and evaluated using accuracy, precision, recall, and F1-score metrics. The results show that the IndoBERT model is capable of classifying patient satisfaction sentiment with 91.10% accuracy and relatively balanced performance across both sentiment classes. The integration of sentiment analysis results and SERVQUAL scores is presented in an interactive dashboard to support decision-making at XYZ Hospital. This research contributes to the development of a more comprehensive, automated, and data-driven patient satisfaction evaluation system to support improvements in healthcare quality.