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All Journal Current STEAM and Education Research
Walidatush Sholihah
Faculty of Science and Engineering, University of Groningen, Broerstraat 5, 9712 CP Groningen, The Netherlands
Arts Chemistry Computer Science & IT Education Physics

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Artificial Neural Network-Based Classification of Water Quality Status in Ornamental Fish Farming Using IoT Sensor Data Nur Aziezah; Walidatush Sholihah; Faldiena Marcelita; Inna Novianty; Andri Hendriana; Ima Kusumanti
Current STEAM and Education Research Vol. 3 No. 3 (2025): Current STEAM and Education Research, Volume 3 Issue 3, December 2025
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.030302

Abstract

Water quality plays an important role in sustainable agriculture. Water quality also affects the quality and quantity of fishery production. In ornamental fish cultivation, water quality influences not only production, but also the shape and color of the fish. To achieve optimal results, water quality parameters need to be maintained. Manually monitoring water quality parameters faces many challenges such as being time-consuming and not providing real-time data. This study investigated the application of Artificial Neural Networks (ANNs) in classifying water quality status. This status is based on data collected using sensors in an Internet of Things (IoT)-based monitoring system. The dataset comprised five key parameters: pH, temperature, ammonia, total dissolved solids (TDS), and total suspended solids (TSS). This data was collected from aquariums cultivating the Denison barb (Sahyadria denisonii). Data preprocessing was performed using feature standardization. This aims to improve model performance. The ANN model was constructed with two hidden layers (32 and 16 neurons). This model was trained using the Adam optimizer, with categorical cross-entropy as the loss function. The dataset was divided into 80% for training and 20% for testing. The trained ANN model achieved an accuracy of 99.95%. It has low false-positive and false-negative rates. These results demonstrate the effectiveness of ANN in predicting water quality status using sensor-based data. This suggests its potential for real-time monitoring and decision-making support in small-scale ornamental fish aquaculture.
Digitalizing Scholarly Communication: Development and Functional Validation of a Web-Based Scientific Conference Management System Pandu Wicaksono; Nur Aziezah; Walidatush Sholihah
Current STEAM and Education Research Vol. 4 No. 2 (2026): Current STEAM and Education Research, Volume 4 Issue 2, August 2026
Publisher : MJI Publisher by PT Mitra Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58797/cser.040202

Abstract

This study developed a standalone web-based system for managing scientific conferences, with a focus on manuscript submission and peer review. The work used the Waterfall model. Development moved through requirements analysis, system design, implementation, and functional validation. The requirements analysis identified four user roles: admin, reviewer, author, and guest. It also defined the main functions needed for manuscript submission, verification, reviewer assignment, review and feedback, status monitoring, and Letter of Acceptance (LoA) issuance. The system used separate frontend and backend components. Vue.js was used for the frontend, Laravel for the backend, and MySQL for the database. The components communicated through a JSON-based RESTful API. Functional validation was carried out with scenario-based black-box testing to check whether each function met its stated requirement without examining the source code. In total, 59 test scenarios were run. Every scenario produced the expected output, giving a 100% functional conformity rate. The results show that the system can perform the defined conference management functions within one digital platform for manuscript submission and peer review. It therefore provides a technical basis for a more structured process of research dissemination and scholarly communication. Further work is still needed to evaluate usability, performance, accessibility, security, and user satisfaction before its broader effectiveness can be assessed.
Co-Authors Hendriana, Andri Ima Kusumanti Inna Novianty Marcelita, Faldiena Nur Aziezah Pandu Wicaksono