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PENGARUH KECERDASAN EMOSIONAL, KECERDASAN SPIRITUAL, DAN KOMITMEN ORGANISASIONAL TERHADAP ORGANIZATIONAL CITIZENSHIP BEHAVIOR (OCB) (STUDI PADA DOSEN TETAP PERGURUAN TINGGI KEAGAMAAN ISLAM SWASTA ) irhas irhas
JMM UNRAM - MASTER OF MANAGEMENT JOURNAL Vol. 6 No. 1 (2017): JMM MARET 2017
Publisher : Master of Management, Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (685.521 KB) | DOI: 10.29303/jmm.v6i1.94

Abstract

This research aims at finding and the influence of : (1) Emotional  Quotient on  OCB, (2) Spiritual Quotient on OCB, and (3) Organizational Commitment on OCB.  This research is causal associative research which uses questionnaire as the instrument of Data Collection. The Population of this research are 119  Permanent Lecturers  of Private Islamic Higher Education in East Lombok West Nusa Tenggara Indonesia. Questionnaire was used to collect data. The collected data were then analyzed with Linear Multiple Regression.  The result shows that: (1)  Emotional Quotient has positive , but insignificant  effect on  OCB, (2)  Spiritual Quotient has positive and significant effect on  OCB, and (3) Organizational commitment has positive and significant effect  on OCB.Keywords: Organizational Citizenship Behavior, Emotional Quotient, Spiritual Quotient, and Organizational Commitment.
Peran Pemerintah Dalam Digitalisasi Ekonomi Syariah Irhas Irhas; Adi Fadli; Abdul Fatah
Al-I'lam: Jurnal Komunikasi dan Penyiaran Islam Vol 7, No 1 (2023): September 2023
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jail.v7i1.19357

Abstract

RELATIVE OUTPUT FACTOR (ROF) OF GAMMA KNIFE’S MEASUREMENT USING IONIZATION CHAMBER AND GAFCHROMIC FILMS nazaroh nazaroh; Okky Agassy Firmansyah; Ade Rizky Setiadi; Irhas Irhas; Elia Sudiatmoko
JURNAL STANDARDISASI Vol 23, No 3 (2021)
Publisher : Badan Standardisasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31153/js.v23i3.928

Abstract

The important things on Leksell Gamma Knife (LGK) is determination of Relative Output Factor (ROF), which is required for beam data collection (BDC) process, as an input value to the Treatment Planning System (TPS). The ROF is also needed to traceability of dosimetry measurements and patient safety. ROF measurements on LGK using PTW PinPoint 3D ionization chamber: 0.016 cm3, PTW Semiflex: 0.125 cm3, and Exradin A16: 0.017 cm3 at collimators 4, 8 and 16 mm. and gafchromic films. ROF values obtained in hospital-A, using PTW PinPoint 3D was: [(1.00 ± 0.002)], [(0.80 ± 0.02]); [(0.42 ± 0.002)]; and using Exradin A16 [(1.00 ± 0]; [(0, 87 ± 0)]; [(0.69 ± 0.0002)]. And using gafchromic films was: [(1.00 ± 0.006]; (0.96 ± 0.005); (0.86 ± 0.06)]; respectively for collimators 4, 8 and 16 mm, and Measurement of ROF in hospital-B using using a PTW PinPoint 3D was: [(1 ± 0); (0.75 ± 0); and (0.33 ± 0)] and using Exradin A16 was: [(1; 0.87; and 0.69)] and gafchromic films was: [(1.00 ± 0.03); (0.98 ± 0.045); and (0.85 ± 0.09)]; The results of ROF’s measurement were compared with the ROF values of Novotny, et al (2009) and TPS. The Gafchromic’s ROF values were relatively closer than both of them, while the ROF value of ionization. chamber at 4 mm collimators was relatively lower, because measurement in a small field occurs an averaging effect volume and lack of lateral charge particle equilibrium (LCPE).
Operationalizing AI Ethics: A Thematic Synthesis for Adaptive and Layered Governance Irhas Irhas
MASALIQ Vol 6 No 1 (2026): JANUARI
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/masaliq.v6i1.8880

Abstract

This study is motivated by the growing discourse on artificial intelligence (AI) ethics that has not yet been fully operationalized in practice, particularly in the health and education sectors in the era of generative AI. It aims to synthesize the literature on the operationalization of AI ethics in order to propose a new governance model that is more adaptive and context-sensitive. A structured thematic synthesis was conducted on peer-reviewed studies published between 2020 and 2025. The analysis reveals a central paradox: a strong global consensus on the principles of justice, transparency, accountability, and privacy stands in stark contrast to significant gaps in their implementation. The emerging challenges are highly context-dependent: in the health sector, they center on technical safety and relational accountability, whereas in the education sector they are more closely related to epistemic integrity and equitable access. The advent of generative AI exacerbates these issues by introducing new systemic risks, such as large-scale hallucinations and an increasingly profound crisis of clarity. In response to the limitations of static compliance-based approaches, this study proposes the Adaptive and Layered AI Governance Model (ALAIGoM), a model of adaptive and layered AI governance that integrates operationalized ethical principles, multi-level governance structures, and a continuous ethics life cycle to enable context-sensitive, adaptive oversight. The model is grounded in proactive trust-building, human-centered design, and mechanisms that ensure acceptability. Overall, this study offers a coherent roadmap for reconfiguring AI ethics from a mere normative checklist into an embedded, adaptive, and responsive governance process.