Article Per Year (5 Year)
p-Index From 2021 - 2026
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All Journal Logistic and Operation Management Research Advanced Journal of STEM Education (AJOSED)
Nafisah Yuliani
Universitas Persada Indonesia YAI, Jakarta, Indonesia
Decision Sciences, Operations Research & Management Education Other

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Design of a Decision Support System for Assessing Student Indiscipline Using the Web-Based Simple Additive Weighting (SAW) Method Susi Wagiyati Purtiningrum; Yudi Irawan Chandra; Dian Gustina; Nafisah Yuliani; Fahrul Nurzaman; Jhonny Z A; Agus Wismo; Sularso Budilaksono
Advanced Journal of STEM Education Vol. 3 No. 1 (2025): Advanced Journal of STEM Education (AJOSED)
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ajosed.v3i1.3372

Abstract

Student discipline is crucial for a conducive learning environment, yet many schools still assess indiscipline manually, leading to inefficiency. This research develops a web-based decision support system using the Simple Additive Weighting (SAW) method to objectively assess and rank student violations. The system helps educators manage offense data, assign weights to different violation criteria, and issue appropriate sanctions. Built with the Laravel framework for security and scalability, the system was tested with 50 teachers and administrators. Evaluation focused on usability, satisfaction, and the system’s accuracy in ranking student indiscipline. Results showed that 85% of top-ranked students had frequent violations, while 90% of lowest-ranked students had few. The system enables teachers to review data, generate accurate reports, and issue warnings efficiently, reducing the time spent on manual assessments. However, it is currently limited to web platforms and lacks integration with mobile notifications like WhatsApp. Despite these limitations, the system significantly enhances discipline management and provides an objective, technology-driven solution for educational institutions
Real-Time Prototype Electricity Monitoring and Forecasting System based on Wemos D1 R1 ESP8266 and IoT Yudi Irawan Chandra; Irfan Irfan; Dian Gustina; Susi Wagiyati Purtiningrum; Nafisah Yuliani; Fahrul Nurzaman; Agus Wismo
Logistic and Operation Management Research (LOMR) Vol. 2 No. 2 (2023): Logistic and Operation Management Research (LOMR)
Publisher : Research Synergy Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/lomr.v2i2.1551

Abstract

Technology helps people do things. IoT is a buzzword, but some need explanation. It means internet-connected devices. IoT seeks continuous internet benefits. Lighting, fans, automated doors. These things have internet-connected sensors. IoT technology allows internet-controlled household appliances. Internet-connected computers or smartphones monitor this tool. The purpose of this research is to create a system that can monitor the electric power in the room of the house in real-time through the Blynk application using a smartphone and make it easier for consumers to estimate the cost of electricity for a month. Systematics simplify and summarize this study. This study will use the Blynk smartphone app to monitor room electric power in real-time and anticipate monthly electricity expenses. Literature review expands research theories. Analysis and design, explaining the analysis based on the background and literature review, then constructing tools and designing the source code and workflow of the Wemos D1 R1 ESP8266 Microcontroller system. Implementation and testing discuss experimental results and how to test new technology. Study report analysis and development ideas conclude this section. This study produced a guide for designing IoT-based power monitoring device applications. Allow users to estimate their household electricity costs quickly and keep this option available. This research is limited by the Wemos ESP8266 D1 R1 microcontroller, INA219 current sensor, and LED for room lights. Wemos D1 R1 ESP8266 and IOT will be used to create a monitoring system tool and estimate electric power in real time using room fans. Future accomplishment. This method requires many components. This research may reveal how to lower electricity bills by monitoring and cuttingusage online.
Co-Authors Agus Wismo Agus Wismo Dian Gustina Dian Gustina Fahrul Nurzaman Fahrul Nurzaman Irfan Irfan Jhonny Z A Sularso Budilaksono Susi Wagiyati Purtiningrum Yudi Irawan Chandra Yudi Irawan Chandra