Meningkatkan Efektivitas Penilaian Karyawan Di Bawaslu Jakarta Barat Dengan Sistem Pendukung Keputusan Berbasis Analytical Hierarchy Process
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Lita Eka Wulandari, Tri Sutrisno , Irvan Lewenusa

Meningkatkan Efektivitas Penilaian Karyawan Di Bawaslu Jakarta Barat Dengan Sistem Pendukung Keputusan Berbasis Analytical Hierarchy Process

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Introduction

Meningkatkan efektivitas penilaian karyawan di bawaslu jakarta barat dengan sistem pendukung keputusan berbasis analytical hierarchy process. Tingkatkan penilaian karyawan Bawaslu Jakarta Barat! Sistem Pendukung Keputusan (SPK) web berbasis AHP ini bantu seleksi karyawan terbaik lebih efisien & akurat, kurangi kesalahan manual.

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Abstract

Employees are an important resource in a company or agency, including the West Jakarta City Bawaslu, which routinely assesses the performance of its employees. This assessment is often time consuming and prone to human error, given that the process is still carried out manually. For this reason, this research aims to design a web-based Decision Support System (SPK) using the Analytical Hierarchy Process (AHP) method that can assist Bawaslu in determining the best employees more efficiently and accurately. The AHP method is used because it is able to break down complex problems into simpler and more structured ones, and provides a measurement scale that can be used to determine priorities in selecting the best employees. Research data was collected through interviews with the leadership of the West Jakarta Bawaslu and literature studies related to the AHP method. The results of this study are expected to facilitate decision making in selecting the best employees and improve the efficiency of the performance appraisal process at the West Jakarta Bawaslu.


Review

This paper presents a timely and relevant study focusing on enhancing the efficiency and accuracy of employee performance appraisal within the West Jakarta City Bawaslu. By addressing the common challenges associated with manual assessment processes, such as time consumption and susceptibility to human error, the research proposes the development of a web-based Decision Support System (DSS). The stated objective is to leverage the Analytical Hierarchy Process (AHP) method to facilitate more effective decision-making in identifying top-performing employees. The chosen context highlights a practical application of management science principles within a specific public sector agency in Indonesia. The selection of the AHP method is a commendable strength of this proposed research. AHP is well-suited for multi-criteria decision-making problems, offering a structured approach to decompose complex issues into manageable components and providing a robust mechanism for weighting and prioritizing diverse criteria. The abstract's rationale for using AHP – its ability to break down complexity and provide a measurement scale for priorities – is sound and aligns with the method's core strengths. Furthermore, the intent to develop a web-based system suggests a practical, accessible, and potentially scalable solution for the target organization, while the data collection via interviews with leadership ensures contextual relevance. While the abstract clearly outlines a promising direction, a full paper would benefit from elaborating on several key aspects to fully demonstrate the system's impact and rigor. Specifically, further detail on the *actual criteria* used for employee assessment and how these criteria are structured within the AHP hierarchy would be invaluable. Additionally, the methodology for *eliciting expert judgments* for pairwise comparisons and validating the consistency of these judgments is crucial. Most importantly, the research's 'expected results' of improved efficiency and accuracy would be significantly strengthened by outlining specific metrics and a clear *validation strategy* to quantitatively compare the proposed DSS against the existing manual process. Addressing these points will enhance the study's contribution and generalizability beyond its specific organizational context.


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