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Uji Coba Teknik Penilaian Kinerja Karyawan Menggunakan Metode Behaviour Anchor Rating Scale di PT X Nabila Agustina; Desta Melani Amalia; Syamsul Hidayat
Master Manajemen Vol. 3 No. 1 (2025): Master Manajemen
Publisher : Fakultas Ekonomi & Bisnis, Universitas Nusa Nipa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59603/masman.v3i1.712

Abstract

Employee performance appraisal is an important part of the human resource management process in the company and decision support in employee performance appraisal ensures that the assessment results are objective and not influenced by subjective factors. So that the urgency of research on determining decision support models in employee performance appraisal based on the skills or abilities possessed by each employee. In this study applying the Behavior Anchor Rating Scale (BARS) method is used to assist decision makers in determining the final value of ranking the best alternatives. This research aims to be able to apply the BARS method in supporting employee performance appraisals, with decision support techniques that can help decision makers make decisions objectively. Based on the results of the performance assessment with the BARS method, the researcher found the actual average score results. The researcher obtained data on Discipline with a score of 4.5, Skill with a score of 3, Responsibility with a score of 3.6 and Teamwork with a score of 1.2. Of the four factors that are of small value, namely communication between employees, the results of the researcher's analysis when there is no approach between employees and each other.
Implementasi Penggunaan AI Dalam Proses Pembelajaran Mahasiswa Teknologi Pendidikan Angkatan 2023 Yumna, Yumna Sabilal Huda; Muhamad Waqqor Bukhori; Muhammad Giyaatsusshidqi; Nabila Agustina
Jurnal Pendidikan Transformatif Vol. 3 No. 2 (2024): Maret 2024
Publisher : Yayasan Aya Sophia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9000/jpt.v3i2.1629

Abstract

Kemajuan teknologi dan informasi telah mencapai tahap yang luar biasa dalam beberapa dekade terakhir dan memunculkan era baru yang disebut Revolusi 4.0. Kemajuan ini mengubah cara hidup dan berinteraksi manusia secara signifikan dan menuntut manusia untuk terus berinovasi. Salah satu inovasi teknologi dalam dunia pendidikan adalah Artificial Intelligence (AI) atau Kecerdasan Buatan yang menawarkan peluang untuk membantu mengoptimalkan proses pembelajaran. Beberapa platform Artificial Intelligence (AI) yang sering digunakan oleh mahasiswa diantaranya Chat-GPT, Canva, Slidesgo, Grammarly, Parafraser, Som Ai, Perplexity, Quillbot dan masih banyak lagi. Metode penelitian yang digunakan untuk meneliti fenomena ini adalah metode penelitian deskriptif kualitatif dengan teknik pengumpulan data kuesioner. Artificial Intelligence (AI) berpeluang besar dalam meningkatkan kualitas proses pembelajaran mahasiswa, menciptakan lingkungan belajar yang lebih efektif dan efisien, memperluas akses terhadap sumber daya belajar, serta mempersiapkan mahasiswa untuk menghadapi tantangan di era digital. Mahasiswa program studi Teknologi Pendidikan angkatan 2023 di Universitas Pendidikan Indonesia menggunakan platform Artificial Intelligence (AI) bertujuan untuk mempermudah pengerjaan tugas seperti mencari sumber rujukan terkait tugas serta menghemat waktu dalam pengerjaan tugas.
Pengaruh Motivasi, Pelatihan dan Salary Terhadap Kinerja Karyawan di PT. Eka Rahayu Azzahra Meli Meli; Adiyan Andansyah; Muhammad Kosim; Muhammad Hasbi Hafidzalloh; Ridwan Zaenal Arifin; Nabila Agustina; Aulia Annisa Yuliani
PESHUM : Jurnal Pendidikan, Sosial dan Humaniora Vol. 4 No. 6: Oktober 2025
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/peshum.v4i6.11293

Abstract

This study analyzes the influence of motivation, training, and salary on employee performance at PT. Eka Rahayu Azzahra both partially and simultaneously. Using quantitative approach with a population of 20 employees, saturated sampling technique, and Likert scale questionnaire. Data analysis employed multiple linear regression with t-test and F-test.Results show: (1) Motivation positively and significantly affects employee performance (sig. 0.008 < 0.05; t count 3.031 > 2.120); (2) Training positively and significantly affects employee performance (sig. 0.005 < 0.05; t count 2.699 > 2.120); (3) Salary positively and significantly affects employee performance (sig. 0.000 < 0.05; t count 4.922 > 2.120); (4) Simultaneously, all three variables positively and significantly affect employee performance (sig. 0.008 < 0.05; F count 19.993 > 3.239). Salary is the most dominant factor. The study recommends integrated strategies to optimize performance through enhanced motivation, continuous training, and compensation evaluation.