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Menampilkan 1–10 dari 2191 artikel
An Attention-Enhanced CNN–RBF Framework for Network Intrusion Detection in Imbalanced Traffic
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The increasing complexity and scale of modern network traffic driven by IoT and cloud-based infrastructures have made accurate intrusion detection a critical challenge. Conventional network intrusion detection systems (NIDS) and many deep learning–based approaches struggle to reliably detect minority and stealthy attacks due to severe class imbalance and limited discrimination of subtle traffic patterns. To address these limitations, this study proposes a hybrid CNN–RBF–Attention framework for n...
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Analisis Pegaruh Kebijakan Pajak, Norma Subjektif dan Kinerja Keuangan terhadap Kepatuhan Pajak UMKM di Kota Semarang
Jurnal Ilmiah Komputerisasi Akuntansi
Vol 19
, No 1
(2026)
Taxes play a vital role as the primary source of state revenue and a key instrument for financing national development through the State Budget (APBN). This study aims to analyze the determinants of tax compliance among Micro, Small, and Medium Enterprise (MSME) taxpayers in Semarang City, with a particular focus on the effects of tax policy, subjective norms, and financial performance. A quantitative associative approach was employed, using primary data collected through questionnaires distribu...
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Characteristics of high-protein corn yogurt with the addition of soy protein isolate and spirulina
Dewi, Ratih Tiara
; Aini, Nur
; Haryanti, Pepita
; Khairunnisa, Anita
; Probowati, Banun Diyah
; Arsyistawa, Hadana Sabila
JITIPARI (Jurnal Ilmiah Teknologi dan Industri Pangan UNISRI)
Vol 11
, No 1
(2026)
Corn milk yogurt is a fermented product that has a low protein content. One of the efforts to increase the protein content of corn milk yogurt is by adding spirulina and soy protein isolate as a source of high protein. The objectives of this research are 1) to study the formulation of high protein corn milk yogurt with the addition of spirulina and soy protein isolate; 2) to study the characteristics of corn milk yogurt. Corn yogurt with the addition of spirulina (0.08, 0.12 and 0.16%) and soy p...
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A Lightweight Maize Leaf Disease Recognition Using PCA-Compressed MobileNetV2 Features and RBF-SVM
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
The integration of Artificial Intelligence (AI) into precision agriculture has significantly improved plant disease recognition; however, many existing deep learning models remain computationally expensive and feature-redundant, limiting their deployment on low-power and edge devices. To address these limitations, this study proposes a lightweight framework for maize leaf disease recognition based on serial deep feature extraction, dimensionality reduction, and machine-learning–based classificat...
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HUBUNGAN KECANDUAN SMARTPHONE TERHADAP INDEKS MASSA TUBUH REMAJA DI SURAKARTA
Jurnal Fisioterapi dan Ilmu Kesehatan Sisthana (JUFDIKES)
Vol 8
, No 1
(2026)
Gaya hidup remaja masa kini sangat erat kaitannya dengan penggunaan smartphone, di mana hampir seluruh remaja telah memiliki smartphone pribadi. Penggunaan smartphone yang tidak terkontrol berisiko menimbulkan kecanduan yang dapat berdampak negatif terhadap kualitas hidup remaja. Kondisi ini berdampak pada status gizi yang tidak normal pada remaja, diantaranya kekurangan berat badan (underweight) maupun kelebihan berat badan (overweight). Tujuan penelitian ini adalah mengetahui hubungan kecandua...
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DIGITAL DAN KNOWLEDGE SHARING MELALUI INOVASI DALAM OPTIMALISASI LAYANAN PUBLIK(Studi Empiris pada Kecamatan Se-Kabupaten Pemalang
Innovation, Theory & Practice Management Journal
Vol 5
, No 1
(2026)
Penelitian ini bertujuan untuk menganalisis peran pengembangan kompetensi digital dan knowledge sharing baik secara langsung maupun tidak langsung melalui inovasi terhadap optimalisasi layanan publik pada pegawai Kecamatan Se-Kabupaten Pemalang. Populasi yang digunakan pada penelitian ini adalah pegawai ASN sebanyak 217 responden. Sampel menggunakan rumus slovin sebanyak 141 responden. Sumber data yang digunakan data primer, dengan metode pengumpulan data kuesioner. Teknik analisis yang digunaka...
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Pengaruh Tingkat Pendidikan Terhadap Kualitas Laporan Keuangan Berbasis SAK EMKM Dengan Sistem Informasi Akuntansi Sebagai Variabel Moderasi : Studi Kasus Pada Coffee Shop Kota Kediri
Jurnal Ekonomi, Bisnis dan Manajemen (EBISMEN)
Vol 5
, No 1
(2026)
This study aims to analyze the effect of education level on the quality of financial statements based on SAK EMKM, with accounting information systems as a moderating variable, focusing on coffee shop micro, small, and medium enterprises (MSMEs) in Kediri City, Indonesia. A quantitative approach was employed using primary data collected through structured questionnaires distributed to 32 business owners or financial managers selected by purposive sampling. Data were analyzed using descriptive st...
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Multimodal Deep Learning for Pneumonia Detection Using Wearable Sensors: Toward an Edge-Cloud Framework
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
Pneumonia remains a leading cause of morbidity and mortality worldwide, particularly in resource-limited settings and among elderly populations, where timely diagnosis and continuous monitoring are often constrained by limited clinical infrastructure. This study presents an edge–cloud–integrated framework for early pneumonia risk monitoring, leveraging multimodal wearable sensors and deep learning to support continuous short-duration monitoring. The proposed system is designed to operate in near...
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Klasifikasi Jenis Bunga Menggunakan Algoritma Convolutional Neural Network (CNN)
Ade Irgi Firdaus
; Ade Irgi Firdaus
; Dwi Okta Djoas
; Riefaldi Diofano Saputra
; Indry Anggraeny
; Hilda Apriliya Ningsih
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2026)
This research aims to develop a multiclass flower image classification system using the Convolutional Neural Network (CNN) algorithm with the EfficientNet architecture. The main problem addressed is the difficulty of manual identification of flower species that share high visual similarity. The research stages include collecting 17,299 flower images across 19 classes, performing data preprocessing such as image resizing, pixel normalization, and augmentation, followed by model training using the...
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Android Malware Detection Using Machine Learning with SMOTE-Tomek Data Balancing
Masari, Maryam Sufiyanu
; Danladi, Maiauduga Abdullahi
; Onyinye, Ilori Loretta
; Tohomdet, Loreta Katok
Journal of Computing Theories and Applications
Vol 3
, No 3
(2026)
This study presents a comprehensive comparative analysis of four traditional machine learning algorithms Decision Tree, Random Forest, K-Nearest Neighbors, and Support Vector Machine for Android malware detection using the preprocessed TUANDROMD dataset comprising 4,465 instances and 241 features representing both static and dynamic application characteristics. Motivated by the limitations of conventional signature-based and hybrid detection methods, especially in managing imbalanced datasets an...
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