衡量千禧一代对智慧校园节能行为的成功因素

Q3 Mathematics

Indonesian Journal of Electrical Engineering and Informatics Pub Date : 2023-09-29 DOI:10.52549/ijeei.v11i3.4885

Lola Oktavia, Okfalisa Okfalisa, Pizaini Pizaini, Rahmad Abdillah, Saktioto Saktioto

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引用次数: 0

摘要

千禧一代在引领工业数字革命方面发挥着关键作用。节能行为和千禧一代对教育背景下的能源消耗意识对于实现智慧校园至关重要。本研究试图找出衡量千禧一代对智慧校园节能行为的成功因素。测量模型考虑了两个重要结构，包括节能态度与节能教育(组织节能气候);节能教育和环境知识(个人节能气候);以节能信息宣传为分指标，构建节能行为即能源行为和行为控制的分指标。为了确定每个指标和子指标的偏好水平，采用模糊层次分析法(Fuzzy- ahp)方法，向印度尼西亚能源从业者、学生和学者等100名受访者发放问卷。计算表明，节能行为建构的优先级值(0.94)高于节能态度的优先级值(0.06)。同时，在前沿子指标上分析了节能教育和环境知识(个人节能气候)，其次是节能信息宣传教育(组织节能气候)。此外，与行为控制相比，能量行为的子指标要求更高。作为一种创新，该模型的优先级分析有助于校园管理和政府制定智慧校园政策和治理。该模型可作为管理层面实施智慧校园实践的指导。从而培育和加快智慧校园转型的成效和优化。此外，潜在的风险是可以避免的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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The Success Factors in Measuring the Millennial Generation’s Energy-Saving Behavior Toward the Smart Campus

The millennial generation has a pivotal role in leading the industrial digital revolution. Energy-saving behavior and millennials’ awareness of energy consumption for educational context become crucial in performing a smart campus. This study tries to identify the success factors in measuring the millennial generation’s energy-saving Behavior toward the smart campus. The measurement model considers two significant constructs, including energy-saving attitudes with energy-saving education (organizational saving climate); energy-saving education and environment knowledge (personal saving climate); and energy-saving information publicity as sub-indicators, and construct energy-saving Behavior viz sub-indicators Behavior regarding energy and behavior control. In order to determine the preference level of each indicator and sub-indicator, the Fuzzy Analytical Hierarchy Process (Fuzzy-AHP) approach was executed by disseminating the questionnaire to 100 respondents from energy practitioners, students, and academicians in Indonesia. The calculation reveals that the energy-saving behavior construct has a higher priority value (0.94) than the energy-saving attitude (0.06). Meanwhile, energy-saving education and environment knowledge (personal saving climate) have been analyzed at the cutting-edge sub-indicator, followed by energy-saving information publicity and education (organizational saving climate). In addition, the sub-indicator for behaviors regarding energy becomes more demanding compared to behavioral control. As a novelty, the priority analysis of this Model aids the management of the campus and government in developing smart campus policies and governance. This Model can be used as a guideline for the management level to execute the smart campus practices. Thus, the effectiveness and optimization of smart campus transformation can be cultivated and accelerated. Besides, the potential coming of risks can be avoidable.

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来源期刊

Indonesian Journal of Electrical Engineering and Informatics Computer Science-Computer Science (miscellaneous)

CiteScore

1.50

自引率

0.00%

发文量

期刊介绍： The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation. Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction. Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging. Control: Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems. Computer and Informatics: Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data).