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Meningkatkan Efektivitas Penilaian Karyawan Di Bawaslu Jakarta Barat Dengan Sistem Pendukung Keputusan Berbasis Analytical Hierarchy Process Wulandari, Lita Eka; Sutrisno , Tri; Lewenusa, Irvan
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 3 (2025): September-Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i3.3099

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.
Perancangan Dashboard Harga Pangan Di Pulau Jawa Oktaviano , Wiyangga; Sutrisno , Tri; Lewenusa , Irvan
Jurnal Pendidikan, Sains Dan Teknologi Vol. 4 No. 3 (2025): Juli-September
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jpst.v4i3.3098

Abstract

This study aims to design an interactive dashboard for monitoring and analyzing food prices in Java Island. The dashboard is developed to display real-time information on key food commodity prices, sourced from reliable data providers such as the National Strategic Food Price Information Center (PIHPS). The primary goal is to facilitate information access for the government and the public, enabling more effective decision-making in response to food price fluctuations. The interactive visualization allows users to track trends, identify distribution issues, and predict price changes. This research employs a quantitative approach to analyze price trends and patterns, utilizing Microsoft Power BI for data visualization. Thus, the dashboard is expected to support better decision-making to maintain economic stability and food security in the region.