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All Journal Jurnal Sistem Komputer dan Informatika (JSON) Sisfo: Jurnal Ilmiah Sistem Informasi
Muhammad Ikhsan Wibowo
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Library & Information Science Mechanical Engineering

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Peningkatan Akurasi Klasifikasi Ikan kepe-kepe (Famili Chaetodontidae) dengan EfficientNetV2 dan Bayesian Hyperparameter Tuning Putu Mahendra, I Gusti Agung; Muhammad Ikhsan Wibowo; Zuliar Efendi
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.9028

Abstract

Identifikasi cepat dan akurat spesies Chaetodontidae penting untuk monitoring keanekaragaman hayati laut, namun pendekatan manual tidak skala dan rentan kesalahan pada dataset besar. GAP riset yang kami tangani adalah: (i) ketiadaan kajian yang secara khusus mengombinasikan EfficientNetV2 dengan Bayesian hyperparameter tuning untuk klasifikasi Chaetodontidae, dan (ii) belum adanya evaluasi yang menekankan efisiensi penalaan adaptif beserta dampaknya terhadap performa. Kebaruan (novelty) studi ini ialah perancangan pipeline ringkas-efisien berbasis EfficientNetV2 dengan Bayesian Optimization   (10 percobaan) pada learning rate, dropout, dan unfreeze backbone, dipadukan augmentasi kuat (MixUp, CutMix) serta regularisasi (label smoothing, L2). Dataset mencakup 1.427 citra/13 spesies dengan praproses center-crop 80% dan resize 224×224. Konfigurasi terbaik (unfreeze=True, dropout=0,2, LR 3,73×10⁻⁴) mencapai val-accuracy 92,75% dan akurasi uji 97%, dengan precision–recall rata-rata >95%, menunjukkan generalisasi yang baik bahkan pada kelas bermorfologi mirip. Dibanding penalaan manual/grid, pendekatan ini lebih hemat eksperimen sekaligus meningkatkan akurasi. Temuan tersebut menegaskan bahwa integrasi EfficientNetV2 + Bayesian tuning efektif dan siap diadopsi untuk sistem identifikasi–monitoring ikan berbasis citra pada konteks konservasi laut Indonesia.
Integrated E-Learning System Development Using Next.js with Anti-Cheating Testing and Payment Integration Yumami, Eva; Muhammad Ikhsan Wibowo; Agusviyanda; M. Khairul Anam
Sisfo: Jurnal Ilmiah Sistem Informasi Vol. 10 No. 1 (2026): Sisfo: Jurnal Ilmiah Sistem Informasi, Mei 2026
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/sisfo.v10i1.27066

Abstract

The advancement of information technology has significantly increased the adoption of e-learning in the educational process. However, many e-learning systems still face limitations, such as the lack of integration between learning management, evaluation systems, and payment features. This study aims to design and implement a web-based e-learning system called NexusLearn that integrates course management, Computer-Based Testing (CBT) with anti-cheating mechanisms, and a payment gateway into a unified platform. The system is developed using the Software Development Life Cycle (SDLC) method, which includes requirement analysis, system design, implementation, and testing. The application is built using the Next.js framework and applies Role-Based Access Control (RBAC) to manage user access based on roles. The results show that the system successfully integrates learning, assessment, and transaction features into a single platform. The CBT module supports dynamic question navigation, real-time timers, automatic answer saving, and anti-cheating mechanisms such as tab-switch detection and automatic submission. The payment feature enables secure and automated transactions through Midtrans integration. Based on Black-box Testing results, all system functionalities operate as intended across key features, including authentication, course management, examination, and payment processing. These findings indicate that the NexusLearn system effectively improves integration, security, and efficiency in e-learning environments and has strong potential for implementation in educational institutions.
Co-Authors Agusviyanda Anam, M Khairul Putu Mahendra, I Gusti Agung Yumami, Eva Zuliar Efendi