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KESALAHAN TATARAN SEMANTIK DAN PENGGUNAAN CAMPUR KODE AKUN INSTAGRAM TOMOHIRO YAMASHITA @TOMOYAMA32 Satrio, Yoga; Br. Ginting, Lisa Septia Dewi
Jurnal Bahastra Vol 7, No 1 (2022): Edisi September 2022
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/bahastra.v7i1.5350

Abstract

This study aims to describe language errors at the semantic level and the use of code mixing contained in Tomohiro Yamashita's Instagram account @tomoyama32. This study uses a qualitative approach to descriptive data analysis. The source of the data in this study was obtained from Tomohiro Yamashita's Instagram social media account in several posts uploaded since March 3, 2020. The data collection of this research was using the listening and recording technique and documenting it in the form of screenshots. Researchers use content analysis to simplify the process of data analysis. The most common semantic language errors found were symptoms of diction selection, namely 50 error symptoms with an error percentage of 37.9%. Hypercorrection symptoms were found to be 49 error symptoms with a percentage of 37.1%. The semantic error of pleonasm symptoms found 30 error symptoms with a percentage of 22.8%. The semantic error of ambiguity symptoms contained in the caption of Tomohiro Yamashita @tomoyama32 is only 3 error symptoms with a percentage of 2.2%. The use of code mixing found with the most common word forms was found in 32 forms with a percentage of 44.4%, phrase elements in 31 forms with a percentage of 43.1%, baster elements in 8 forms with a percentage of 11.1%, clause elements in 1 form with percentage of 1.4%. The form of mixed code elements of reduplication and idioms is not found in the 40 caption data uploaded by Tomohiro so the percentage is 0%.
Legal Protection of Notary Employees in the Judicial Process Against Forgery of Signatures of Confrontants on Authentic Deeds Aprianto, Aprianto; Tarsono, Edi; Satrio, Yoga
Al-Adalah: Jurnal Hukum dan Politik Islam Vol 10 No 1 (2025)
Publisher : Program Studi Hukum Tata Negara, Fakultas Syariah dan Hukum Islam IAIN Bone

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30863/ajmpi.v10i1.7830

Abstract

Notaries are public officials authorized by law to draw up authentic deeds and are formally responsible for ensuring the accuracy of the parties' identities, the contents of the deed, and the signatures affixed. This study examines the legal protection available to notary staff who act as witnesses in the preparation of deeds, particularly in criminal proceedings involving forged signatures by parties appearing before the notary. Using a normative juridical method with a descriptive approach, the research analyzes secondary data obtained through document studies, including legislation, literature, and court decisions. The case analyzed is the Indonesian Supreme Court Decision No. 1209 K/Pid/2022, in which the notary was found guilty of initiating and participating in document forgery and sentenced to one year and six months of imprisonment. The findings indicate that notary staff who are not involved in the forgery are not subject to criminal liability. This research contributes to the discourse on legal accountability in notarial practice and emphasizes the importance of providing clearer legal safeguards for notary employees.
KESALAHAN TATARAN SEMANTIK DAN PENGGUNAAN CAMPUR KODE AKUN INSTAGRAM TOMOHIRO YAMASHITA @TOMOYAMA32 Satrio, Yoga; Br. Ginting, Lisa Septia Dewi
Jurnal Bahastra Vol 7, No 1 (2022): Edisi September 2022
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/bahastra.v7i1.5350

Abstract

This study aims to describe language errors at the semantic level and the use of code mixing contained in Tomohiro Yamashita's Instagram account @tomoyama32. This study uses a qualitative approach to descriptive data analysis. The source of the data in this study was obtained from Tomohiro Yamashita's Instagram social media account in several posts uploaded since March 3, 2020. The data collection of this research was using the listening and recording technique and documenting it in the form of screenshots. Researchers use content analysis to simplify the process of data analysis. The most common semantic language errors found were symptoms of diction selection, namely 50 error symptoms with an error percentage of 37.9%. Hypercorrection symptoms were found to be 49 error symptoms with a percentage of 37.1%. The semantic error of pleonasm symptoms found 30 error symptoms with a percentage of 22.8%. The semantic error of ambiguity symptoms contained in the caption of Tomohiro Yamashita @tomoyama32 is only 3 error symptoms with a percentage of 2.2%. The use of code mixing found with the most common word forms was found in 32 forms with a percentage of 44.4%, phrase elements in 31 forms with a percentage of 43.1%, baster elements in 8 forms with a percentage of 11.1%, clause elements in 1 form with percentage of 1.4%. The form of mixed code elements of reduplication and idioms is not found in the 40 caption data uploaded by Tomohiro so the percentage is 0%.