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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING JTT: Journal Teknik Dan Teknologi
Syafruddin Syarif
Universitas Handayani Makassar
Computer Science & IT Engineering

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Penerapan Algoritma C4.5 Seleksi Penerima Beasiswa Bidikmisi Pada Kampus Stmik Agamua Wamena WILYAM ARIESTA HALUK; Syafruddin Syarif; Supriadi Sahibu
Journal Teknik Dan Teknologi  Vol. 1 No. 02 (2025): Juni
Publisher : Fakultas Teknik UPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.67494/jtt.v1i02.10

Abstract

Bidikmisi Scholarship is a financial aid program aimed at economically disadvantaged students with strong academic performance. The selection process for recipients of this scholarship often faces challenges, particularly in determining the eligibility of candidates, which requires numerous criteria and complex data analysis. This study aims to develop a scholarship selection system using the C4.5 algorithm. It is expected that this algorithm can automate and expedite the selection process with more transparent and objective results. The dataset used includes applicants for the Bidikmisi scholarship from 2015 to 2020. The methods applied include oversampling and undersampling techniques to address class imbalance in the data. Based on testing, this system achieved an accuracy of 76%, with a precision of 76% and recall of 71%, indicating that the system can be relied upon for the scholarship selection process at STMIK Agamua Wamena.
Multimodal Sensor Evaluation for Fish Pond Water Quality Monitoring Zein Rifal; Syafruddin Syarif; Imran Taufik; Mashur Razak; Supriadi Sahibu; Respaty Namruddin
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12656

Abstract

Freshwater aquaculture requires continuous water quality monitoring because rapid changes in temperature, pH, dissolved oxygen, turbidity, total dissolved solids, and water level can affect fish health and pond productivity. This study evaluates a multimodal sensor system for real-time fish pond water quality monitoring and dashboard-based actuator control. The system integrates six sensors with Arduino Mega for signal acquisition, ESP32 for Wi-Fi communication, Firebase for cloud data storage and command exchange, and a Flutter dashboard for visualization and manual control. Field testing was conducted in two tilapia ponds with different initial conditions. Sensor performance was evaluated by comparing five measurable parameters with reference instruments using percentage error, accuracy, mean absolute error, and root mean square error, while turbidity was assessed through functional contrast testing and short-term stability because a turbidity reference instrument was unavailable. The average accuracy of the five validated parameters was 87.37% in pond 1 and 95.58% in pond 2. Temperature and water level showed the highest accuracy, above 98% in both ponds. Dissolved oxygen and total dissolved solids showed larger deviations, especially in pond 1, indicating sensitivity to field conditions and calibration stability. Actuator commands for the aerator and circulation pumps responded within 1-2 seconds under stable network conditions. The results show that the system is useful as a preliminary field-validated monitoring and semi-automatic control platform, but further work is required for long-term drift testing, turbidity validation using a commercial meter, and automatic control evaluation.
Co-Authors Imran Taufik Mashur Razak Respaty Namruddin Supriadi Sahibu WILYAM ARIESTA HALUK Zein Rifal