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All Journal Didaktik : Jurnal Ilmiah PGSD STKIP Subang Codeverse: Journal of Emerging Digital Realities
Wulan Fransiska Lubis
Universitas Negeri Medan
Education

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ANALISIS HUBUNGAN PENGGUNAAN BAHASA NONBAKU DAN SENTIMEN KOMENTAR YOUTUBE PADA KASUS KECURANGAN SAAT UTBK Amalia Azzahra; Salwa Risda Pratiwi; Wulan Fransiska Lubis; Floren Green Chia; Veronika Valentin S. Garingging; Elvi Simanjuntak
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 02 (2026): Volume 12 No. 2, Juni 2026 Release
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i02.13604

Abstract

This study examines the use of non-standard language in YouTube comment sections regarding cheating during Computer-Based Written Exams and its relationship to public sentimen in the comments. The study aims to identify the forms of non-standard language use and the relationship between the number of non-standard words and comment sentimen. The research method used is quantitative descriptive with a sociolinguistic approach. The research data consists of 390 YouTube comments obtained through automated data collection techniques. Analysis was conducted through the stages of data preprocessing, identification of non-standard words, sentimen analysis, calculating the frequency of non-standard word occurrences, creating a cross-tabulation table, and a chi-square test. The results of the study indicate that negative sentimen has the highest usage of non-standard words, with a chi-square test result of 0.000024, indicating a significant relationship between the use of non-standard words and public sentimen in social media comments. Keywords: Sentimen Analysis, Non-Standard Language, UTBK, YouTube
Penerapan Peta Kendali Individuals–Moving Range (I-MR) dan Diagram Ishikawa dalam Analisis Pengendalian Kualitas Temperatur Wulan Fransiska Lubis; Nursani Salsabillah Akza; Elisabeth Putri Dayanti
Codeverse: Journal of Emerging Digital Realities Vol. 2 No. 1 (2026): CODEVERSE: Journal of Emerging Digital Realities
Publisher : Codeverse: Journal of Emerging Digital Realities

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to analyze the stability of the temperature process using the Individuals–Moving Range (I-MR) control chart as one of the statistical quality control tools. The data used are secondary data consisting of 100 temperature observations arranged in chronological order and fulfilling the characteristics of continuous data with a single subgroup size (subgroup size = 1). The analytical method employed includes the Individuals Chart (I Chart) to monitor individual observation values and the Moving Range Chart (MR Chart) to monitor the variation between two consecutive observations. The results of the analysis indicate that, in the I Chart, all observation points are within the control limits, suggesting that the temperature process is generally in a statistically controlled condition. Meanwhile, in the MR Chart, one point was found to be outside the upper control limit, indicating the presence of a special cause variation in the form of a sudden change in temperature between two consecutive observations. To identify the possible causes of this deviation, an analysis using the Ishikawa diagram (5M+1E) was conducted, which shows that factors related to man, machine, method, material, measurement, and environment potentially affect process variation. Based on the findings, the temperature process is generally stable; however, further investigation of the deviation point is still required in order to improve process quality
Co-Authors Amalia Azzahra Elisabeth Putri Dayanti Elvi Simanjuntak Floren Green Chia Nursani Salsabillah Akza Salwa Risda Pratiwi Veronika Valentin S. Garingging