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p-Index From 2021 - 2026
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All Journal IIJSE Greenation International Journal of Engineering Science
Arief Wibowo
Universitas Budi Luhur, Jakarta, Indonesia
Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Electrical & Electronics Engineering Mechanical Engineering

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Dynamics of Sincerity Echo: A New Paradigm in Large Language Model Alignment Based on Cognitive Proportionality Blasius Dala Nai; Jeffrey Bram Pattipeilohy; Arief Wibowo
Greenation International Journal of Engineering Science Vol. 4 No. 2 (2026): (GIJES) Greenation International Journal of Engineering Science (June - August
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijes.v4i2.1024

Abstract

The development of Large Language Models (LLMs) has expanded the function of artificial intelligence from mere automation systems toward dialogue agents used across academic, professional, administrative, and creative activities. Alignment paradigms heavily reliant on reinforcement learning from human feedback (RLHF) still face fundamental challenges including hallucination, sycophancy, overconfidence, and vulnerability to instructional manipulation. This article aims to develop a conceptual protocol framework called Sincerity Echo as a new paradigm in LLM alignment based on Cognitive Proportionality. The study employs a design science research approach with a conceptualprotocol development orientation. The model is developed through two layered validation mechanisms: the Macro Semantic Gatekeeper for semantic consistency checking and the Continuous Logic Decay Filter for propositional contradiction detection. Integration of semantic entropy and semantic uncertainty enables the system to detect potential hallucinations and adaptively manage belief calibration. Model development results show that Sincerity Echo can differentiate propositional expansions, low risk lightweight queries, and adversarial contradictions through a tiered validation mechanism. The FAST EXIT ROUTE mechanism on simple queries saves approximately 96.8% of computational resource allocation compared to deep reasoning pathways. The main contribution lies in shifting alignment from mere instructional compliance toward epistemic integrity, belief calibration, anti sycophancy, and response proportionality.
Pengaruh Penggunaan Lease Management System, Kualitas Sistem, Dan Kualitas Informasi Terhadap Produktivitas Karyawan Pada Digital Procurement, Dengan Corporate Support Sebagai Variabel Moderasi Abdul Rachman; Arief Wibowo
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 9 No 2 (2026): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v9i2.10072

Abstract

This study examines the effects of Lease Management System (LeMS) Usage, System Quality, and Information Quality on Employee Productivity, with Corporate Support as a moderating variable in a post-merger telecommunications company. The research employs an explanatory quantitative approach using a survey method involving a total of 109 respondents, consisting of internal employees and external partners engaged in lease asset management processes. Data analysis was conducted using PLS-SEM, encompassing evaluation of the outer model (validity and reliability) and the inner model (R-square, f-square, and path testing through bootstrapping). The results indicate that Information Quality has a significant effect on Employee Productivity, whereas LeMS Usage and System Quality do not show significant effects. In addition, Corporate Support is not proven to moderate the relationships between the three independent variables and Employee Productivity. These findings suggest that during the post-merger transition phase, administrative-process productivity is more sensitive to the accuracy, completeness and timeliness of information than to system usage intensity or technical system quality. The practical implications of this study emphasize the importance of strengthening data governance to maintain the quality of information generated by LeMS, which should be supported by hands-on training to enhance user adoption, as well as policy and SOP updates to ensure more consistent utilization of LeMS in administrative processes, thereby improving employee productivity.
Co-Authors Abdul Rachman Blasius Dala Nai Jeffrey Bram Pattipeilohy