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All Journal Jurnal Ekonomi Lembaga Layanan Pendidikan Tinggi Wilayah I Journal of Artificial Intelligence and Digital Business Journal of Sustainable Innovation Engineering
Satriadhi, Bintoro
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Social Sciences

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Performance of Business: A Review of The Literature Artha, Bhenu; Satriadhi, Bintoro
Jurnal Ekonomi Lembaga Layanan Pendidikan Tinggi Wilayah I Vol. 3 No. 2 (2023): Article Research November 2023
Publisher : LLDIKTI Wilayah 1 Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54076/juket.v3i2.398

Abstract

Business performance, in general, consists of two components: financial performance and non-financial performance, and it is critical to control and combine the two types of performance for start-up development. Financial performance refers to firm performance that can be measured in terms of money value and financial operations, whereas non-financial performance refers to firm performance that cannot be measured in terms of money value, such as brand reputation, customer satisfaction, organizational performance, and innovation activities. The purpose of this study was to determine the variables related to business performance. This research is a literature study, which uses 20 articles as study material. The results of this study indicate the variables related to business performance. This study did not find business performance used as a moderating variable, which can be used as research material in the future.
Ukuran Dewan Direksi dan Implikasinya terhadap Kinerja Keuangan Perusahaan Artha, Bhenu; Hadi, Antonius Satria; Bahri, Bahri; Sari, Niken Permata; Sari, Utami Tunjung; Asri, Cahya Purnama; Satriadhi, Bintoro
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.535

Abstract

Pemantauan dilakukan oleh dewan direksi dari sudut pandang lembaga. Dewan perusahaan bertanggung jawab untuk mengawasi manajemen dan mencegah perilaku oportunistik. Dewan besar mungkin kurang efisien karena kesulitan dalam menyelesaikan masalah keagenan di antara anggota dewan. Penelitian ini menganalisis tentang pengaruh ukuran dewan direksi terhadap kinerja keuangan, yang diukur dengan non-performing loan (NPL), return on assets (ROA), dan return on equity (ROE) pada Bank Ganseha periode Maret 2012 – September 2024. Penelitian ini termasuk kuantitatif dan menggunakan regresi linier untuk analisis data. Hasil penelitian menunjukkan bahwa ukuran dewan direksi berpengaruh negatif signifikan terhadap NPL, ukuran dewan direksi berpengaruh positif signifikan terhadap ROA, ukuran dewan direksi tidak berpengaruh signifikan terhadap ROE.
Artificial Intelligence and Sustainable Innovation: A Theoretical Review Artha, Bhenu; Sari, Utami Tunjung; Bahri, Bahri; Hadi, Antonius Satria; Sari, Niken Permata; Asri, Cahya Purnama; Satriadhi, Bintoro
Journal of Sustainable Innovation Engineering Vol. 1 No. 2 (2025): July
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/sustainable.v1i2.12

Abstract

Artificial intelligence (AI) has become universal across various sectors, permeating every aspect of our lives regardless of age or profession. In this era of AI, it's necessary to prioritize sustainable development and innovation in its application, while AI enables rapid completion of tasks alike human efficiency, it also raises concerns about increasing unemployment rates. A theoretical literature review is conducted in order to achieve the research's goals and objectives, and a conceptual framework for future study is offered. Authors conclude that artificial intelligence affects green product, artificial intelligence affects green energy, and artificial intelligence affects green farming.
Co-Authors Artha, Bhenu Asri, Cahya Purnama Bahri bahri Hadi, Antonius Satria Niken Permata Sari, Niken Permata Sari, Utami Tunjung