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All Journal Format : Jurnal Imiah Teknik Informatika Tabularasa: Jurnal Ilmiah Magister Psikologi
Sari, Amanda Puspita
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Computer Science & IT Social Sciences Other

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Pengaruh Penilaian Kinerja Terhadap Promosi Jabatan Di PT. X Semarang Sari, Amanda Puspita; Rahayu, Puspita Puji
Tabularasa: Jurnal Ilmiah Magister Psikologi Vol 6, No 2 (2024): Tabularasa : Jurnal Ilmiah Magister Psikologi, Juli
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/tabularasa.v6i2.3599

Abstract

This article aims to determine the effect of performance appraisal on job promotions for employees at PT. X Semarang. The problem focuses on the performance assessment used by PT. X Semarang. To approach this problem, theoretical references from Mathis and Jackson are used. Data was collected through a research scale distributed via Google Form and analyzed using statistical analysis, namely simple linear regression analysis which was used to find out how big the influence of performance appraisal was. The researcher chose simple linear regression analysis as a research methodology to test how big the causal relationship is between the independent variable (X) and the dependent variable (Y). The questionnaire distribution strategy was carried out via Google Form by sharing the Google Form link with several PT employees. X Semarang. This study concludes that performance appraisal has a positive effect on promotion with a total effect of 22.7%. This positive influence means that the higher the performance assessment results, the greater the opportunities for employees at PT. X Semarang received a promotion. Meanwhile, the other 77.3% of job promotions were influenced by other factors, including higher level educational background (starting work only as a high school graduate and during work taking undergraduate education until graduation), work experience held as well as certificates and other skills. which are owned.
Implementasi Algoritma Greedy dan Dynamic Programming untuk Masalah Penjadwalan Interval dengan Model Knapsack Prasha, Achmad Ardani; Rachmadi, Clavino Ourizqi; Sari, Amanda Puspita; Raditya, Nanda Garin; Mutiara, Sabrina Laila; Yusuf, Mohamad
FORMAT Vol 13, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2024.v13.i2.005

Abstract

Penelitian ini membahas implementasi algoritma Greedy dan Dynamic Programming untuk penjadwalan interval dengan model knapsack, yang esensial dalam optimasi. Tujuan penelitian ini adalah memberikan panduan praktis dalam memilih algoritma yang tepat untuk aplikasi dunia nyata. Metode yang digunakan mencakup algoritma Greedy, yang membuat pilihan lokal terbaik untuk mencapai solusi global optimal, dan Dynamic Programming, yang memecah masalah menjadi submasalah lebih kecil dan menyelesaikannya secara berulang. Hasil penelitian menunjukkan bahwa Dynamic Programming memberikan solusi optimal dengan penggunaan waktu dan ruang yang lebih besar dibandingkan dengan Greedy. Algoritma Greedy lebih cepat tetapi tidak selalu memberikan solusi optimal, sedangkan Dynamic Programming lebih cocok untuk masalah kecil yang membutuhkan solusi optimal. Penelitian ini menyimpulkan bahwa kedua algoritma memiliki kelebihan dan kekurangan masing-masing tergantung pada skala dan kebutuhan masalah. Penelitian ini berkontribusi dalam bidang optimasi dan penjadwalan serta membuka jalan bagi pengembangan algoritma lebih lanjut. Implementasi kedua algoritma ini membantu dalam pengambilan keputusan yang lebih baik dalam aplikasi penjadwalan interval dengan model knapsack.Kata kunci: Algoritma Greedy, Dynamic Programming, Knapsack Problems, Interval Scheduling, Optimasi, Task Scheduling
Co-Authors Mohamad Yusuf Mutiara, Sabrina Laila Prasha, Achmad Ardani Puspita Puji Rahayu, Puspita Puji Rachmadi, Clavino Ourizqi Raditya, Nanda Garin