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All Journal Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan International Journal of Multidisciplinary Sciences and Arts J-CEKI
Fahad, Muhammad
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences

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High workload and its application to employee loyalty in indonesian start-up companies Fahad, Muhammad; Hapsari, Ayuningtyas Yuli
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 4 No. Spesial Issue 4 (2022): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32670/fairvalue.v4iSpesial Issue 4.2385

Abstract

A company's workforce is one of the most important factors that any company must consider. Human resources are basically in the form of people employed by a company as planners and implementers of all activities and activities carried out by the company with a specific purpose. Good human resources management is required to manage human resources in the company and to ensure that the skills and potential of each human resource are maximized. HR Management is responsible for handling various HR-related matters and works closely with management to further develop the company. The job of personnel management is to create a comfortable working environment by presenting a workload that matches the abilities of each employee. These aspects are intended to increase the loyalty of the company's employees. The purpose of this survey was to determine respondents' responses regarding workload, work environment, and employee retention on PLABS.ID and to determine whether workload and work environment are a factor in employee retention on PLABS.ID. to find out how it affects The research methods used are descriptive and verification methods. The samples used in this survey are all her PLABS.ID employees. Data processing is performed by multiple linear regression, coefficient of determination analysis, and hypothesis testing. The survey results show that there is a significant impact of workload on the employee retention rate of PLABS.ID and work environment the on employee retention rate of PLABS.ID, and both workload and work environment have a significant impact at the same time. It can be said that About employee retention PLABS.ID
Tanggung Jawab Perdata Perusahaan Asing Dalam Kasus Wanprestasi Kontrak Internasional Dalam Prinsip Lex Loci Contractus Fahad, Muhammad; Farchan Hamdani; Lucky Dafira Nugroho
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 5: Agustus 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i5.10295

Abstract

Penelitian ini membahas mengenai tanggung jawab perdata perusahaan asing dalam kasus wanprestasi kontrak internasional dengan berfokus pada penerapan prinsip lex loci contractus. Permasalahan utama yang diangkat adalah bagaimana prinsip lex loci contractus digunakan dalam menentukan hukum yang berlaku serta bentuk pertanggungjawaban perdata yang dapat dikenakan kepada perusahaan asing ketika terjadi wanprestasi. Metode penelitian yang digunakan adalah yuridis normatif dengan pendekatan perundang-undangan dan studi kasus. Hasil penelitian menunjukkan bahwa dalam kontrak internasional, penentuan hukum yang berlaku sangat penting untuk memberikan kepastian hukum bagi para pihak. Prinsip lex loci contractus menjadi acuan utama dalam menentukan hukum mana yang digunakan ketika terjadi perselisihan, yaitu hukum negara tempat kontrak dibuat atau disepakati. Dalam konteks wanprestasi, perusahaan asing dapat dimintai pertanggungjawaban perdata sesuai dengan ketentuan hukum yang telah disepakati dalam kontrak atau berdasarkan prinsip lex loci contractus. Namun, penerapan prinsip ini sering menghadapi kendala, seperti perbedaan sistem hukum antarnegara, pelaksanaan putusan pengadilan asing, dan keberadaan klausul choice of law dalam kontrak. Penelitian ini merekomendasikan perlunya perumusan klausul hukum yang jelas dalam kontrak internasional serta penguatan mekanisme kerja sama internasional dalam penegakan hukum perdata lintas negara untuk menjamin kepastian dan perlindungan hukum bagi para pihak.
Artificial Intelligence in Healthcare: Revealing Novel Approaches to Cancer Treatment, Fraud Investigation, and Petroleum Industry Perspectives Fahad, Muhammad; Ibrar, Muhammad; Qayyum, Muhammad Umer; Husnain, Ali
International Journal of Multidisciplinary Sciences and Arts Vol. 3 No. 4 (2024): International Journal of Multidisciplinary Sciences and Arts, Article October 2
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/ijmdsa.v3i4.4637

Abstract

Artificial Intelligence (AI) is increasingly transforming healthcare by enhancing diagnostic accuracy, personalizing treatment, and improving operational efficiencies. This review explores AI's impact across several key areas: cancer medicine, fraud detection, and lessons from the petroleum industry. In cancer medicine, AI-driven advancements are leading to more accurate diagnostics, personalized treatment plans, and predictive models for patient outcomes. In fraud detection, AI techniques such as anomaly detection and natural language processing are effectively identifying and mitigating fraudulent activities, safeguarding financial and operational integrity. Insights from the petroleum industry reveal how AI applications, such as predictive maintenance and operational optimization, can be adapted to healthcare settings to enhance equipment reliability and resource management. Emerging trends include the integration of AI with genomics, telemedicine, and cross-disciplinary innovations, which promise further advancements in personalized care and operational efficiency. However, ethical considerations such as data privacy, bias, and transparency must be addressed to ensure responsible AI deployment. The review concludes by highlighting the need for continued innovation, collaboration, and patient-centric approaches to fully realize AI's potential in transforming healthcare and improving patient outcomes.
Co-Authors Farchan Hamdani Hapsari, Ayuningtyas Yuli Husnain, Ali Ibrar, Muhammad Lucky Dafira Nugroho Qayyum, Muhammad Umer