Decision Support System for Employee Performance Assessment for Administration Promotion Using Analytic Hierarchy Process

Kurniawan, Helmi; Tanjung, Muhammad Rusdi; Swondo, Ashari P.; Sari, Eka Purnama; Negoro, Wahyu Saptha; Yusfrizal,

doi:10.1109/icsima50015.2021.9526328

Cited by 4 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Dalam Aspek Sumber Daya Manusia (SDM), Pegawai/Karyawan adalah individu yang menyumbangkan layanan(jasa), baik dalam bentuk pemikiran maupun upaya fisik, dan menerima imbalan yang telah ditetapkan oleh perusahaan atau organisasi tempat mereka bekerja [7]. Kinerja pegawai memiliki peran yang sangat penting dalam menentukan keberhasilan dan performa keseluruhan suatu organisasi [8] [9][10] [11]. Pandangan tentang pentingnya kinerja pegawai mencerminkan penghargaan terhadap kontrubusi individu dalam mencapai target perusahaan.…”

Section: Pendahuluanunclassified

Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai Menggunakan Metode Complex Proportional Assessment

Prayoga,

Pribadi

2024

SPK

View full text Add to dashboard Cite

Tujuan penelitian ini adalah untuk mengatasi kendala dalam proses evaluasi kinerja pegawai, terutama terkait tingginya tingkat subjektivitas dan ketidakjelasan kriteria penilaian. Dengan menggunakan metode Complex Proportional Assessment (COPRAS), penelitian ini bertujuan merancang dan mengimplementasikan Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai berbasis web. Dalam penelitian ini mencakup hasil pengumpulan data berupa penilaian kinerja pegawai, serta langkah-langkah penyelesaian metode COPRAS dan implementasi SPK berbasis web, termasuk penentuan bobot dan kriteria untuk menilai kinerja pegawai secara terstruktur. Kesimpulan dari penelitian ini menunjukkan bahwa Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai berbasis web menggunakan metode COPRAS dapat mengatasi tingkat subjektivitas dan ketidakjelasan kriteria penilaian.Hasil analisis dari penelitian ini mendapatkan sebuah utilitas nilai Tingkat kinerja seluruh pegawai dan hasil laporan evaluasi ini dapat menjadi dasar penghargaan, pertimbangan promosi jabatan, dan keputusan terkait manajemen sumber daya manusia dengan lebih obyektif dan terukur.

show abstract

Section: Pendahuluanunclassified

Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai Menggunakan Metode Complex Proportional Assessment

Prayoga,

Pribadi

2024

SPK

View full text Add to dashboard Cite

show abstract

“…Traditionally, customer satisfaction has been regarded as a measurable tool that guides businesses in reaching their customers effectively. However, differing viewpoints have emerged among researchers regarding the importance of customer satisfaction versus customer loyalty, with some arguing that loyalty outweighs satisfaction, while others emphasize the role of satisfaction in driving loyalty (Jin & Lee, 2019;Kurniawan et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…To cultivate true loyalty, businesses must consider a range of factors and adopt a comprehensive, long-term approach. Loyal customers not only make repeat purchases but also become brand advocates, spreading positive word-of-mouth and introducing the product to their networks (Gheibdoust, Gilaninia, & Taleghani, 2023;Kurniawan et al, 2021). They choose a product because of their genuine interest and connection with the business, rather than out of necessity.…”

Section: Introductionmentioning

confidence: 99%

Attention-based deep learning model to improving multi-criteria decision-making for customer loyalty

Bayat,

Honari

2023

Am J Soc Sci Hum

View full text Add to dashboard Cite

Understanding the factors that influence product loyalty is crucial for businesses to effectively attract and retain customers. This study suggests a novel approach to assess the importance and weight of criteria that lead to product loyalty by considering the Halo effect in customer decision-making. The suggested method utilizes an attention-based deep learning model to analyze customer feedback collected through the Net Promoter Score (NPS) scale, incorporating the insights of a large number of customers. The proposed method overcomes the limitations of traditional methods that rely on expert judgments or data mining, providing a more comprehensive and customer-centric perspective. By considering the Halo effect, which can lead to biased perceptions of product features, the method offers a more accurate assessment of criteria weights and their impact on product loyalty. A case study focusing on mobile phone selection and loyalty is conducted to explain the applicability and efficiency of the suggested method. The outcomes are compared with the NPS index and several common multi-criteria decision-making (MCDM) techniques. The findings highlight the superiority of the suggested method in capturing the complex relationships between criteria and product loyalty, surpassing the limitations of expert-based approaches and outperforming traditional MCDM methods. The suggested technique provides valuable insights for companies seeking to enhance customer loyalty and optimize product development strategies. However, it is important to acknowledge limitations related to the reliance on customer feedback and the contextual specificity of the results.

show abstract

Blockchain‐based security enhancement mechanism for employee performance assessment system

Vignesh

Prasad

2022

Concurrency and Computation

View full text Add to dashboard Cite

Summary In the proposed approach, the blockchain based employee performance assessment system is introduced to enhance the security and privacy of employee data. The proposed three phases are used to enhance the security mechanism in the employee performance assessment system: authentication, encryption, and data retrieval phase. The authentication process is performed in the first phase by utilizing Lamport Merkle digital signature (LMDS) algorithm. The LMDS algorithm generates and verifies a digital ID for each employee. In the next phase blockchain based encryption is carried on employee data using the new light weight cryptography algorithm (NLCA), which uses a 16 bytes (128 bit) block cipher and needs 16 bytes (128‐bit) key to encrypt the data. At last, the data retrieval phase allows users to access the data through the secret key. Proposing a modified Diffie‐Hellman (ReDH) algorithm to exchange the secret key to ensure security. The proposed approach is implemented in the Python platform, and the performance of the proposed approach is compared with existing methods in terms of encryption time, throughput, decryption time, storage efficiency, and search time. Using a blockchain‐based employee performance assessment system enhances system trust level, transparency, accountability, and security efficiency.

show abstract

Decision Support System for Employee Performance Assessment for Administration Promotion Using Analytic Hierarchy Process

Cited by 4 publications

References 6 publications

Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai Menggunakan Metode Complex Proportional Assessment

Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai Menggunakan Metode Complex Proportional Assessment

Attention-based deep learning model to improving multi-criteria decision-making for customer loyalty

Blockchain‐based security enhancement mechanism for employee performance assessment system

Contact Info

Product

Resources

About