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All Journal Language Literacy: Journal of Linguistics, Literature, and Language Teaching Jurnal Sistem Informasi Triguna Dharma (JURSI TGD)
Febry Aurlani
Universitas Satya Terra Bhinneka
Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences

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Implementasi Metode Certainty Factor dalam Sistem Pakar untuk Deteksi Kerusakan Mesin Vibration Continuous Monitoring Amrullah; Akbar Idaman; Muit Sunjaya; Febry Aurlani
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 5 No. 1 (2026): EDISI JANUARI 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v5i1.12479

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem pakar berbasis metode Certainty Factor dalam mendeteksi kerusakan pada mesin Vibration Continuous Monitoring. Mesin ini digunakan untuk memantau getaran pada mesin industri, yang jika tidak terdeteksi dapat menyebabkan kerusakan lebih parah dan mengurangi efisiensi operasional. Metode Certainty Factor digunakan untuk mengukur tingkat kepastian dalam diagnosis kerusakan berdasarkan gejala yang terdeteksi. Penelitian ini melibatkan pengumpulan data melalui observasi, wawancara dengan ahli, dan studi literatur untuk membangun basis aturan dan menghitung nilai CF untuk setiap gejala. Hasil penelitian menunjukkan bahwa sistem pakar ini mampu mendeteksi kerusakan dengan tingkat kepastian yang tinggi, dengan beberapa jenis kerusakan memiliki nilai CF di atas 90%. Dengan menggunakan sistem ini, proses diagnosis kerusakan dapat dilakukan lebih cepat dan akurat, mengurangi ketergantungan pada kehadiran teknisi ahli dan mengoptimalkan pemeliharaan mesin. Penelitian ini memberikan kontribusi penting dalam penerapan kecerdasan buatan di bidang pemeliharaan mesin industri, yang dapat meningkatkan efisiensi dan mengurangi biaya operasional.
LINGUISTIC HEDGING STRATEGIES IN DONALD TRUMP’S PEACE FORUM SPEECH: A DISCOURSE ANALYSIS Zhafran Fatih Ananda; Puteri Anugrah Septianingsih; Febry Aurlani
Language Literacy: Journal of Linguistics, Literature, and Language Teaching Vol 10, No 1: June 2026 (In Progress)
Publisher : Universitas Islam Sumatera Utara (UISU)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/ll.v10i1.13150

Abstract

This study examines hedging strategies in a contemporary diplomatic speech delivered by Donald Trump, focusing on how epistemic stance is calibrated in a high-stakes political context. Drawing on Hyland’s (1998, 2005) metadiscourse framework, the study employs qualitative discourse analysis alongside frequency-based identification of hedging devices. The analysis identifies 34 instances of hedging, with lexical judgmental verbs such as I think, and I believe constituting the dominant category (62%), followed by modal auxiliaries including may and might. The findings show that hedging is systematically clustered in discourse segments addressing future negotiations and geopolitical uncertainty, while more assertive constructions are used when referring to past achievements. This patterned alternation suggests a form of controlled epistemic modulation, defined in this study as the deliberate calibration of commitment strength in response to contextual volatility and diplomatic risk. Rather than signaling weakness or indecision, hedging in the analyzed speech functions as a rhetorical resource for balancing authority and negotiability, contributing to the construction of a diplomatic yet assertive leadership persona. The study offers a refined perspective on metadiscourse by highlighting the central role of lexical hedging verbs in political stance management and proposing a nuanced account of epistemic modulation in contemporary diplomacy.
Co-Authors Akbar Idaman Amrullah Muit Sunjaya Puteri Anugrah Septianingsih Zhafran Fatih Ananda