Desain dan Impelementasi Dashboard Multiplatform (Web dan Android) Aplikasi Key Performance Indicator Studi Kasus : Regis Institute PT. Thamrin Group Palembang

Huwandy, Ignasius Marthin (2024) Desain dan Impelementasi Dashboard Multiplatform (Web dan Android) Aplikasi Key Performance Indicator Studi Kasus : Regis Institute PT. Thamrin Group Palembang. Undergraduate thesis, Universitas Katolik Musi Charitas.

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Abstract

Rapid technological advancements have significantly eased human tasks,
especially in processing data and information critical to companies. Software
technology supports various business activities, including real-time employee
performance monitoring. Software Engineering (SE) is a systematic approach to
software development that encompasses all aspects of production. Dashboards, as
essential tools in SE, display visual data to assist management in decision-making.
PT. Thamrin Group, a leading company in South Sumatra, is dedicated to
innovation to enhance community welfare. Regis Institute, part of PT. Thamrin
Group, requires an effective Key Performance Indicator (KPI) system to monitor
and improve performance. The design and implementation of a multiplatform (web
and Android) dashboard for the KPI application are expected to help Regis Institute
manage performance and provide measurable and reliable assessments. The
Waterfall method is used in the development of this application, consisting of stages
such as requirement analysis, system design, implementation, testing, and
maintenance. This method was chosen for its structured approach, ensuring that
each development phase is executed properly. The dashboard design must be
intuitive and informative, considering the specific needs of Regis Institute and its
operational environment.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Software Engineering, Dashboard, Key Performance Indicator, Multiplatform, Waterfall Model
Subjects: T Technology > TD Environmental technology. Sanitary engineering
T Technology > TJ Mechanical engineering and machinery
Divisions: Theses - S1 > Informatics Study Program
Depositing User: Users 3117 not found.
Date Deposited: 02 Sep 2024 05:55
Last Modified: 01 Nov 2024 06:52
URI: https://eprints.ukmc.ac.id/id/eprint/12842

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