Published: 2024-08-01
Analisis Pengunaan Sistem Rektutmen SDM Kinerja PT. Rima Estetika Diagonal Bandung, Indonesia
DOI: 10.35870/jemsi.v10i4.2558
muhammad akmal patwanudin, Eka Purwanda
Article Metrics
- Views 144
- Downloads 334
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
Penelitian ini didasari oleh adanya tugas akhir untuk membuat jurnal mengenai sistem rekrutmen yang digunakan pada PT Rima Estetika Diagonal. Sehingga penelitian ini hadir dengan tujuan untuk mengungkap sejauh mana penerapan sistem rekrutmen apa yang digunakan PT Rima Estetika Diagonal. Metode penelitian yang digunakan dalam penelitian ini menggunakan metode kualitatif deskriptif, dengan cara melakukan pengumpulan data informasimelalui wawancara, dokumentasi, observasi, kuisioner. Jenis data penelitian inimenggunakan data Primer dan data Sekunder. Data primer, merupakan data yangdikumpulkan dengan cara melakukan wawancara dan observasi langsung darisumbernya. Data sekunder merupakan data yang diperoleh dalam bentuk sudah jadi, seperti internet dan berbagai dokumen yang sudah ada. Hasil penelitian menunjukkan sistem seperti apa yang di gunakan PT Rima untuk meningkatkan kinerja karyawan pada Poshbrain & Mypride yang selama ini dilakukan, sudah sangat sesuai. Karena sistem rekrutmen yang dilakukan. disesuaikan dengan standar perusahaan.
Kata Kunci: Rekrutmen,Metode,Poshbrain,Mypride
Keywords
Rekrutmen,Metode,Poshbrain,Mypride
Article Metadata
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page to understand its reach and credibility.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.
How to Cite
Article Information
This article has been peer-reviewed and published in the JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 10 No. 4 (2024)
-
Section: Articles
-
Published: %750 %e, %2024
-
License: CC BY 4.0
-
Copyright: © 2024 Authors
-
DOI: 10.35870/jemsi.v10i4.2558
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
No author biographies available.
-
-
-
-
Putri, D. A., Nizaruddin, A., & Julia. (2024). Peran Big Data Analytics dan Kualitas Audit dalam Memperkuat Kemampuan Auditor Mendeteksi Kecurangan Laporan Keuangan. JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi). JEMSI (Jurnal Ekonomi, Manajemen, Dan Akuntansi), 10 (3). 1551-1561. https://doi.org/10.35870/jemsi.v10i3.2350
-
-
-
-
-
-
-
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.