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Violation of the Principle of Cooperation in Bertolt Brecht's Drama Der Gute Mensch von Sezuan Eka Fitriyana; Iman Santoso
Journal DaFIna - Journal Deutsch als Fremdsprache in Indonesien Vol 9, No 2 (2025)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um079v9i22025p33-48

Abstract

This study aims to describe (1) the types of violations of the principle of cooperation and (2) the implicature in Bertolt Brecht's play Der Gute Mensch von Sezuan. The data collection methods and techniques used were the “Simak Bebas Libat Cakap” method and reading and note-taking techniques. Data analysis was carried out using the referential matching method and the basic technique of “Pilah Unsur Penentu”. The results of this study indicate that: 1) there were 35 instances of violations of the principle of cooperation, namely violations of the maxim of quantity (13 instances), violations of the maxim of quality (5 instances), violations of the maxim of relevance (10 instances), and violations of the maxim of performance (7 instances). The most frequent violation was a violation of the maxim of quantity; 2) there were 17 types of implicatures in violations of the principle of cooperation, namely a) showing respect, b) sarcasm, c) expressing doubt, d) mockery, e) expressing dislike, f) providing information, g) evoking pity, h) showing anger, i) convincing, j) concealing something, k) rejecting something, l) showing concern, m) changing the topic of conversation, n) asking for advice, o) accepting a request, p) boasting, q) seeking information. The implicature of concealing something is the most commonly found implicature. This is because the main plot of this play is disguise.
DOS and DC Conductivity of Tungsten Diselenide Monolayer Using Large-Scale Tight Binding Time Propagation Method: Trotter-Suzuki Approximation Sara, I Wayan Windu; Santoso, Iman
POSITRON Vol. 16 No. 2 (2026): Vol. 16 No. 2 Edition (This issue was scheduled for publication on July 31, 20
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v16i2.100845

Abstract

We present the density of states (DOS) and dc conductivity calculation for Tungsten Diselenide (WSe2) monolayer using Trotter-Suzuki tight-binding time propagation method (TB-TPM) for the system size as large as  (4.194.304 atoms). Our study was carried out using TB Hamiltonian model that consists of three orbitals for each W atoms () and Se atom (), respectively. The model considers the first neighbour interactions and omits the spin-orbit coupling. From DOS calculation, we obtain the bandgap of 1.38 eV meanwhile, the dc conductivity calculation yields an asymmetric value between valence and conduction band indicating the difference in the mobility of the charge carriers in this system. Our results are close to the references that obtained from different calculation scheme, showing that TB-TPM with Trotter-Suzuki approach can be applied to study the electronic structure and transport properties of WSe2 monolayer in large system. The results of this study can serve as an initial framework for investigating low-concentration defects in WSe2 monolayer.
“Jeder hat seinen eigenen Geschmack”: Comparative Analysis of AI and Human Raters in German Proverb Oral Performance Assessment Sudarmaji; Iman Santoso; Aditya Rikfanto; Retna Endah Sri Mulyati
International Journal of Pedagogical Language, Literature, and Cultural Studies (i-Plural) Vol. 3 No. 3 (2026): International Journal of Pedagogical Language, Literature, and Cultural Studies
Publisher : Nexus Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63011/ip.v3i3.88

Abstract

This study aims to analyze scoring variations and test the statistical significance of differences between AI-based evaluation (Large Language Model) and human raters in assessing the oral performance of German proverbs. Using a quantitative, within-subjects design, the study involved 30 students who were evaluated on four parameters: grammar, pronunciation, fluency, and the use of proverbs. The results of a paired-samples t-test reveal highly significant differences (p < 0.001) across all assessment aspects. The AI consistently demonstrates a leniency bias, assigning higher absolute scores than human raters. The largest discrepancy is in the use of proverbs, with a mean difference of 3.73 points. These findings indicate that AI tends to operate at the level of structured linguistic surface features, yet remains limited in capturing cultural nuances, implicit meanings, and pragmatic contextual appropriateness. These are areas that constitute the core strength of human cognitive sensitivity. This study recommends implementing a hybrid app using language to evaluate, in which AI assesses structural-mechanistic aspects, while interpretive sociolinguistic dimensions remain under human raters' control.