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Optimasi Proses Evaluasi Belajar melalui Pengembangan Sistem Ujian Komputerisasi di SMP Negeri 2 Majene Zulkifli, Zulkifli; KH, Musliadi; Ansar, Ansar; U, M Ikhsan
Journal of Digital Ecosystem for Natural Sustainability Vol 5 No 1 (2025): Juli 2025
Publisher : Fakultas Komputer - Universitas Universal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63643/jodens.v5i1.290

Abstract

This study aims to develop and implement a computer-based semester exam information system at State Junior High School (SMP) 2 Majene to optimize the learning evaluation process. The background of this study is the still widely used manual exam system, which requires a significant amount of time and energy, and poses a risk to the efficiency and accuracy of the assessment. The method employed is Research and Development (R&D) with the ADDIE model approach, which comprises the stages of analysis, design, development, implementation, and evaluation. The system was developed using the PHP programming language and MySQL database with a client-server architecture. The data collection process was carried out through observation and interviews with teachers and education personnel. The implementation results showed that the system ran well, allowing teachers and operators to input questions, students to answer exams digitally, and exam results could be directly processed and printed quickly and accurately. User evaluations stated that this system was effective in increasing the efficiency of exam implementation and reducing administrative burdens. Thus, this information system is expected to be a technological solution that supports digital transformation in the elementary education environment.
Smart Office Implementation System for Electrical Energy Consumption Efficiency Using IoT-Based Fuzzy Algorithm M. Ikhsan U; Andani Achmad; Supriadi Sahibu; Nim Von-Lind
Ceddi Journal of Information System and Technology Vol. 4 No. 1 (2025): April
Publisher : Yayasan Cendekiawan Inovasi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v4i1.110

Abstract

Increased electricity consumption in office environments often results in waste and inefficient costs. This study aims to develop an Internet of Things (IoT)-based Smart Office system using a fuzzy algorithm to improve electricity efficiency. The method used is the Research and Development (R&D) approach with the Continuous Improvement Spiral model. This system is designed by utilizing a DHT11 sensor for temperature and an LDR for light intensity, which is connected to an Arduino Nano as the main data processor. Data is processed using a fuzzy algorithm to control electronic devices, such as lights and fans, and monitored through the Blynk application. The results showed that the system was able to reduce electricity consumption from 63.57 kWh to 41.32 kWh, with significant savings in monthly electricity costs. The average sensor accuracy reached 99.40% for DHT11 and 96.36% for LDR. This system makes a positive contribution to energy efficiency and is a sustainable solution for office environments.