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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal POINTER Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Multimedia JAST : Jurnal Aplikasi Sains dan Teknologi Journal of Applied Engineering and Technological Science (JAETS) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Sistem Informasi, Teknologi Informasi, dan Edukasi Sistem Informasi (JUST-SI) DEDIKASI PKM Jurnal Informatika dan Multimedia Enrichment: Journal of Multidisciplinary Research and Development Majority Science Journal Jurnal Pengabdian Masyarakat Teknologi Informasi dan Informatika
Dian Eka Ratnawati
Brawijaya University, Malang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

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Perbandingan Performa Matrix Factorization dan Neural Collaborative Filtering dalam Menghasilkan Rekomendasi Top-N Produk pada Platform E-Commerce Puan Fadilahsari, Insania Cindy; Ratnawati, Dian Eka
Jurnal Pengembangan Teknologi dan Ilmu Komputer Vol 10 No 13 (2026): Publikasi Khusus Tahun 2026
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Naskah ini akan diterbitkan di JITECS
Vision Transformer for Active Compound Function Classification Based on 2D Molecular Structures Dian Eka Ratnawati; Diva Kurnianingtyas; Agus Wahyu Widodo; Rekyan Regasari Mardi Putri
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.9418

Abstract

Accurate classification of active compounds based on molecular structure is crucial for accelerating drug discovery while reducing laboratory costs and time. However, existing structure-based classification methods, particularly convolutional neural networks and graph-based models, often struggle to capture long-range dependencies or require large-scale datasets and extensive feature engineering. This study investigates the use of the Vision Transformer (ViT) model to classify 2D molecular structure images of compounds into cancer and cardiovascular therapy categories. A dataset containing 500 images, consisting of 250 per class, was obtained from the PubChem database, processed for consistency, and divided into 72% training, 20% testing, and 8% validation. To address the limited dataset size, careful preprocessing, regularization through weight decay, and systematic hyperparameter tuning were applied to reduce overfitting risks. The ViT model was trained with the Adam optimizer and a linear learning rate scheduler. Hyperparameters were systematically tuned to identify the optimal configuration. Results show that the best settings, with batch size 60, weight decay 0.1, learning rate 3.0×10⁻⁶, and 15 epochs, achieve an accuracy, F1 score, and loss of 80.0%, 79.9%, and 0.597, sequentially. These findings highlight the potential of ViT for small-scale cheminformatics tasks, offering an alternative to conventional methods while maintaining competitive performance.
Segmentasi dan Klasifikasi Sel Darah Menggunakan Deep Learning dengan Pendekatan Multi-Task Learning untuk Deteksi Leukemia Acute Lymphoblastic Leukemia (ALL) Sabila Rasyad, Muhammad Ikram; Rahayudi, Bayu; Ratnawati, Dian Eka
Jurnal Pengembangan Teknologi dan Ilmu Komputer Vol 10 No 13 (2026): Publikasi Khusus Tahun 2026
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Penilaian Kinerja Karyawan Menggunakan Key Performance Indikator (KPI) Pada Ar Rohmah Islamic Boarding School Group Ratnawati, Dian Eka; Marji; Mardi Putri, Rekyan Regasari
DIMASLOKA: Jurnal Pengabdian Masyarakat Teknologi Informasi dan Informatika Vol 2 No 2 (2023): Juli
Publisher : Fakultas Ilmu Komputer Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/dimasloka.v2i2.23

Abstract

Performansi suatu perusahaan ataupun organisasi sangat ditentukan oleh performansi dari karyawan, tidak terkecuali dengan Lembaga Pendidikan Ar Rohmah. Salah satu cara untuk meningkatkan kinerja karyawan adalah melakukan penilaian karyawan menggunakan Key Performance Indicator (KPI).  KPI sangat penting untuk menilai seberapa baik kinerja seseorang. Implementasi KPI di Ar Rohmah belum menggunakan suatu sistem, tetapi masih secara manual. Penilaian secara manual ini menimbulkan beberapa permasalahan, yaitu terjadinya duplikasi, rawan terjadi kesalahan dan perlunya waktu lama untuk dilakukan rekap. Hal ini menjadi sangat tidak efisien dan tidak pula efektif. Untuk itu perlu dibuatkan suatu sistem untuk penilaian kinerja tersebut. Kegiatan pengabdian ini bertujuan untuk membuat sistem penilaian kinerja guru berbasis website. Desain yang digunakan untuk mengembangkan sistem ini adalah prototype.  Pertimbangan penggunaan prototype ini adalah karena mitra bisa melakukan koreksi terhadap rangcangan aplikasi sebelum aplikasi diimplementasikan. Adanya koreksi di awal tersebut meminimalisir adanya ketidaksesuaian sistem dengan kebutuhan mitra. Sebelum sistem penilaian kinerja ini diimplementasikan, Tim sudah menunjukkan prototype tersebut kepada mitra. Sosialisasi sistem penilaian kinerja ini dilakukan dengan cara melakukan pelatihan di lokasi mitra. Peserta pelatihan adalah kepala sekolah SMA dan MQ Ar Rohmah Tahfiz serta semua guru SMA dan Tahfiz. Peserta menjalankan sistem yang dibuat dipandu Tim. Pelatihan disertai modul yang dibuat oleh Tim. Hasil evaluasi menunjukan bahwa sistem yang dikembangkan 100%  mudah dipahami, bermanfaat (78,6% sangat bermanfaat, 21,4% bermanfaat), sesuai dengan kebutuhan Lembaga,  serta dapat meningkatkan kinerja lembaga.   Abstract The performance of an institution's employees primarily determines the performance of a company or organization, and the Ar Rohmah Educational is no exception. Improve performance can effectively use Key Performance Indicators (KPIs) as assessment criteria. This manual assessment raises several problems, namely the occurrence of duplication, prone to errors, and a long time to do a summary. These problems become very inefficient and ineffective too. Therefore, a system is necessary to cover the limitation. A team from the Faculty of Computer Science Universitas Brawijaya (Filkom-UB) held a university social responsibility with Ar Rahmah Boarding School Group as a partner to create a website-based teacher performance assessment system. The development design applied is a prototype, as partners can make corrections to the application design before it is implemented. A correction at the beginning minimizes the system's incompatibility with the partner's requirements. This performance evaluation system is socialized by conducting training for the partner. The training participants were the principals and teachers of the senior high school grade. In the training, participants learned the modules and ran the system with Filkom-UB's team guidance. The evaluation results show that the system developed is 100% easy to understand, functional according to the institution's needs (78.6% very useful, 21.4% useful), and can improve the performance of the institution.  
Analisis Sentimen Ulasan Pengguna Aplikasi Mobile Tokopedia Berdasarkan Aspek Usability DAN Reliability Menggunakan IndoBERT Raynaldy, Jerico Willy; Setiawan, Nanang Yudi; Ratnawati, Dian Eka
Jurnal Pengembangan Teknologi dan Ilmu Komputer Vol 10 No 5 (2026): Mei 2026
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Naskah ini akan diterbitkan di SENTRIN 2026
Analisis Sentimen Ulasan Pengguna Aplikasi Mobile Tokopedia Berdasarkan Aspek Usability DAN Reliability Menggunakan IndoBERT Raynaldy, Jerico Willy; Setiawan, Nanang Yudi; Ratnawati, Dian Eka
Jurnal Pengembangan Teknologi dan Ilmu Komputer Vol 10 No 13 (2026): Publikasi Khusus Tahun 2026
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Artikel ini diterbitkan pada SENTRIN2026
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