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Antomi Saregar
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International Journal of Electronics and Communications Systems
Published by Universitas Islam Negeri Raden Intan Lampung
ISSN : -     EISSN : 27982610     DOI : 10.24042
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
International Journal of Electronics and Communications System (IJECS) [e-ISSN: 2798-2610] is a medium communication for researchers, academicians, and practitioners from all over the world that covers issues such as the improvement about design and implementation of electronics devices, circuits, and communication systems including but not limited to: circuit theory, integrated circuits, analog circuits, digital circuits, mixed-signal circuits, electronic components, filters, oscillators, biomedical circuits, neuromorphic circuits, RF circuits, optical communication systems, microwave systems, antenna systems, communications circuits for optical communication, development of physics evaluation instruments, development of physics instructional media, digital signal processing, communication theory and techniques, modulation, source and channel coding, microwave theory and techniques, wave propagation and more.
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 72 Documents
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Essential Gene Classification in Drosophila melanogaster Using Genomic Signal Processing and Boosting Putri, Gendis Ananda; Lumbanraja, Favorisen Rosyking; Junaidi, Akmal; Aristoteles; Tristiyanto
International Journal of Electronics and Communications Systems Vol. 6 No. 1 (2026): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v6i1.31239

Abstract

This study evaluates the efficacy of AdaBoost and XGBoost in classifying Cellular Essential Genes (CEG) and Organismal Essential Genes (OEG) of Drosophila melanogaster using a hybrid feature set of DNA sequences, protein sequences, and network topology 185 features comprising Tri-Nucleotide Composition (TNC, from DNA) and Fourier Transform (FT, from DNA only), Amino Acid Composition (AAC, from protein sequences), and Protein-Protein Interaction (PPI) degree (from network topology) retrieved from the CLEARER database, with Random Forest Gini feature selection and SMOTETomek balancing nested within a leakage-free stratified 5×10-fold cross-validation pipeline, demonstrating that XGBoost consistently outperforms AdaBoost by achieving 96.88% accuracy, 0.864 F1-score, and 0.845 MCC on the CEG hold-out test set, while sequence-derived features (TNC and AAC) emerge as the dominant predictors. Sequence-based features (TNC and AAC) dominated the selected feature set, with FT features accounting for 18 of the 45 selected features, confirming the value of genomic spectral signal processing as a complement to compositional representation. Overall, this study demonstrates the value of integrating genomic signal processing with boosting-based learning and provides a reproducible, leakage-controlled framework for essential gene classification that can inform future cross-organism prediction studies.
Design and Development of a Microcontroller-Based Ultrasonic Humidifier for Industrial Mushroom Cultivation Yousufzai, Hafiz Usama Ayub
International Journal of Electronics and Communications Systems Vol. 6 No. 1 (2026): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v6i1.31334

Abstract

This study aims to describe the design of an ultrasonic humidifier and its application in industrial-scale mushroom cultivation, with a focus on the need for precise humidity control. The study began with an in-depth review of existing humidification technologies and their applications. The developed model features a larger plastic housing, advanced sensors, an improved ventilation system, and a microcontroller for precise control. Extensive testing of the final model demonstrated improvements in humidity control, energy efficiency, and system responsiveness. Key findings indicate that this integrated system provides a reliable and efficient solution for maintaining the optimal humidity levels essential for industrial-scale mushroom cultivation. The transition from the prototype to the final model underscores the importance of careful component selection and system integration to achieve the desired results. This research lays the foundation for the further development of automated humidification systems. The proposed system promises to increase yields and overall operational efficiency in mushroom cultivation, while providing significant economic and environmental benefits.

Page 8 of 8 | Total Record : 72

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