Ronald Umbas
Sekolah Tinggi Ilmu Sosial dan Ilmu Politik Wira Bhakti

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EFEKTIVITAS PENERAPAN SAMSAT DRIVE THRU DALAM MENINGKATKAN KEPATUHAN WAJIB PAJAK KENDARAAN BERMOTOR DI KABUPATEN GIANYAR Agus Adhi Widyantika; I Nengah Suriata; Ronald Umbas
Jurnal Ilmu Sosial dan Ilmu Politik Vol. 37 No. 1 (2023): Januari-Juni 2023
Publisher : Sekolah Tinggi Ilmu Sosial Politik Wira Bhakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52318/jisip.2023.v37.1.3

Abstract

This research was conducted to measure the effectiveness of implementation of one-stop administration services office (Samsat) drive thru to improving vehicle taxpayers’ compliance in Gianyar Regency. Interviews, observations, and documentation were carried out to collect the data. The collected data were then analyzed to draw a conclusion.  The results showed that the implementation of the Samsat drive thru in Gianyar Regency to increasing taxpayers’ compliance was effective because there were more people paid the tax and its revenue could exceed the target.
PENGGUNAAN APLIKASI PENILAIAN INDIVIDU TERHADAP PROSES KENAIKAN PANGKAT BAGI PRAJURIT TNI Ni Luh Nantari Nantari; I Gde Oka Saputra; Ronald Umbas
Jurnal Ilmu Sosial dan Ilmu Politik Vol. 37 No. 2 (2023): Juli-Desember 2023
Publisher : Sekolah Tinggi Ilmu Sosial Politik Wira Bhakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52318/jisip.2023.v37.2.1

Abstract

Aplikasi penilaian individu digunakan untuk mengidentifikasi, menilai, mengukur, dan menganalisa capaian hasil kerja setiap personel TNI dalam melaksanakan tugasnya sesuai dengan lingkup tugas dan jabatannya. Aplikasi ini diperlukan pada saat prajurit melaksanakan kenaikan pangkat. Kenaikan pangkat adalah salah satu yang membanggakan bagi setiap prajurit TNI. Permasalahan pada penelitian ini, dahulu usul kenaikan pangkat dalam penilaianannya dilakukan secara manual,. Sejak tahun 2019, sistem penilaian prajurit dalam pengajuan berkas usul kenaikan pangkat berubah menggunakan aplikasi penilaian individu. Adapun tujuan dalam penelitian ini, yaitu untuk mengetahui pengaruh penggunaaan aplikasi penilaian individu terhadap proses kenaikan pangkat prajurit TNI di Kumdam IX/Udayana. Analisis dalam penelitian kualitatif ini menunjukkan bahwa aplikasi ini sangat berpengaruh berdasarkan indikator tepat waktu, lengkap dan mudah.
Translation accuracy of an Indonesian divorce certificate by ChatGPT: A study of formal and dynamic equivalence Ronald Umbas; I Dewa Nyoman Juniasa; Ni Nengah Karuniati
E-Structural (English Studies on Translation, Culture, Literature, and Linguistics) Vol. 9 No. 02 (2026): December 2026
Publisher : Universitas Dian Nuswantoro

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

Abstract

The increasing use of artificial intelligence (AI) in translation offers opportunities for efficient legal document translation. However, AI-generated translations remain challenging because legal documents require terminological precision and contextual accuracy. This study investigates the accuracy of an Indonesian divorce certificate translated into English using ChatGPT based on Nida and Taber’s concepts of formal and dynamic equivalence. A qualitative descriptive design was employed. Translation units from an Indonesian divorce certificate were categorized into legal, administrative, and socio-cultural terms. Each unit was analyzed in terms of lexical form, legal meaning, and contextual appropriateness. Legal terminology was generally translated accurately through formal equivalence when equivalent legal concepts existed in English. Administrative terminology showed mixed results: established governmental terms were generally appropriate, whereas culture-specific concepts presented accuracy problems. Socio-cultural expressions required dynamic equivalence and posed the greatest challenges because they reflected legal and cultural concepts without direct English equivalents. Overall, ChatGPT performed well in translating standardized legal terminology but showed limitations with culturally embedded and institution-specific expressions. ChatGPT has potential for assisting legal document translation, but culturally specific legal and administrative concepts require human evaluation to ensure semantic precision, contextual appropriateness, and legal reliability. This study demonstrates the application of formal and dynamic equivalence to evaluate ChatGPT-generated legal translations and provides practical insights into its strengths and limitations.