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JISKA (Jurnal Informatika Sunan Kalijaga)
ISSN 2527-5836 · Universitas Islam Negeri Sunan Kalijaga Yogyakarta · 275 artikel di indeks
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Artikel Jurnal
Komparasi Distance Measure pada K-Means dalam Klasterisasi Peserta KB Aktif
The rapid population growth in Indonesia poses significant challenges to public welfare, economic stability, and sustainable development. The Family Planning program aims to regulate population growth through various contraceptive methods; however, participation rates often differ across regions…
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Artikel Jurnal
Sistem Deep-Learning Yolov8 untuk Deteksi Penggunaan APD Secara Real-Time
Although workplace safety regulations in construction are clear, many workers are still reluctant to use Personal Protective Equipment (PPE) due to a lack of awareness, work pressure, and limited facilities. As a result, the risk of serious accidents increases. Conventional approaches such as…
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Artikel Jurnal
Uji Efektifitas Kompresi Golomb-Rice dan Huffman untuk Metadata EXIF dalam File JPEG
Compression algorithms are now called modern compression algorithms. This improvement is characterized by the combination of various classical techniques and is even based on machine learning and AI. However, the important part of compression is not only the algorithm, but also knowledge of the…
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Artikel Jurnal
Perbandingan Kinerja MobileNetV2 dan VGG16 dalam Klasifikasi Penyakit pada Citra Daun Tanaman Cabai
Chili peppers play a crucial role in the Indonesian economy, serving as a significant source of income for many farmers. Price fluctuations influenced by weather conditions make this crop vulnerable to diseases that can impact productivity. However, leaves are key indicators of plant health…
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Artikel Jurnal
Sistem Deteksi Gerakan Kecurangan UTBK Real-Time dengan YOLOv8 dan Optical Flow
Integrity and honesty are fundamental aspects of education, including the implementation of the Computer-Based Written Examination (UTBK). Conventional exam supervision is considered less effective in monitoring participants’ behavior due to the limitations in human observation capabilities and…
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Artikel Jurnal
Comparative Analysis of Camellia and AES Across File Sizes and Types
Data security is a critical aspect of modern information systems that requires processing cryptographic efficiency and resilience. This study compares two widely used symmetric encryption algorithms, named Camellia and AES, based on their performance and resistance to standard attack methods. An…
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Artikel Jurnal
Model Prediksi Risiko Kanker Serviks dengan Pendekatan Support Vector Machine
Cervical cancer is one of the leading causes of death in women, especially in developing countries due to delays in early diagnosis. Developing a risk prediction model based on the Support Vector Machine (SVM) algorithm is one way to support a more accurate and efficient early detection process…
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Artikel Jurnal
Comparative Analysis of Hybrid CNN-ViT and CNN for Brain Tumor Classification
The automated categorization of brain cancers from MRI is essential for improving diagnostic precision. Traditional Convolutional Neural Networks (CNNs) are proficient in local feature extraction but are constrained in their ability to capture long-range spatial relationships, hence impairing…
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Artikel Jurnal
Tinjauan Sistematis terhadap Arsitektur Convolutional Neural Network untuk Deteksi Kantuk pada Pengemudi Berbasis Visual
This study presents a systematic literature review (SLR) on the application of Convolutional Neural Networks (CNNs) for vision-based driver drowsiness detection. A total of 23 peer-reviewed studies published between 2021 and 2025 were analyzed using the PICOC framework and PRISMA 2020 guidelines…
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Artikel Jurnal
Fine-Tuned Artificial Neural Network (ANN) with Explainable AI (XAI) for Classification and Interpretation of the Breast Cancer Wisconsin
Breast cancer remains one of the leading causes of cancer-related mortality among women, making early detection and accurate diagnosis essential. Although machine learning and deep learning approaches have achieved high classification performance, their interpretability and evaluation robustness…
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Artikel Jurnal
An Ethical Information System Success Framework for Government Artificial Intelligence
The rapid adoption of Artificial Intelligence (AI) in government has transformed public service delivery and decision-making while raising ethical concerns related to fairness, transparency, accountability, and privacy. This study develops and validates an Ethical Information System Success…
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Artikel Jurnal
Deteksi Anomali Jaringan Transaksi Token ERC20 di Blockchain Ethereum Menggunakan Graph Neural Network
The rapid development of Decentralized Finance (DeFi) on the Ethereum blockchain has increased ERC20 token transaction volumes but also triggered a surge in anomalous activities such as Ice Phishing, NFT Scams, and Reward Scams. Conventional detection methods on tabular data often fail to capture…
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Artikel Jurnal
Penerapan Convolutional Block Attention Module untuk Meningkatkan Klasifikasi Glaukoma Menggunakan ResNeXt
Glaucoma is a chronic ocular disease characterized by progressive optic nerve damage and is one of the leading causes of irreversible blindness. Manual analysis of retinal fundus images is time-consuming, particularly under high clinical workloads. To improve the efficiency of clinical diagnostic…
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Artikel Jurnal
Enhanced Ant Colony Optimization for Cloud Scheduling with Local Search and Elitist
Cloud computing allows the execution of various types of jobs with diverse resource requirements, so an efficient scheduling mechanism is needed to minimize processing time and improve resource utilization. The Ant Colony Optimization (ACO) algorithm is one of the metaheuristic methods widely used…
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Artikel Jurnal
Analisis Komparatif Akurasi dan Stabilitas Model Peramalan Harga Beras Harian Nasional
Daily forecasting of national rice prices is important for supporting data-driven food price monitoring systems. This study evaluates statistical, machine learning, and deep learning approaches for forecasting Indonesia’s national rice prices over the 2017–2025 period. Missing values in the daily…
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Artikel Jurnal
Improving Multi-Class Classification Performance with Multi-Scale Feature Extraction CNNs on a Limited Indonesian Spices Dataset
This study evaluates whether multi-scale feature extraction provides an advantage over single-scale CNN feature extraction under limited-data conditions. Using the Indonesian Spices Dataset as a controlled benchmarking testbed, which contains 31 distinct categories with only 210 images per class…
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Artikel Jurnal
Integrasi Citra Satelit dan Inverter Berbasis Transfer Learning untuk Prediksi PLTS Tropis
Integrating photovoltaic (PV) power plants into smart grids requires reliable short-term forecasting, particularly under highly variable tropical atmospheric conditions. Conventional univariate temporal models, such as LSTM, struggle to anticipate abrupt cloud cover changes as they rely solely on…
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Artikel Jurnal
From Open Redirect to JavaScript Execution via CVE-2024-4367
This case study presents a forensically documented analysis of a multi-stage security incident involving CVE-2024-4367, an arbitrary JavaScript execution vulnerability in PDF.js. The incident occurred on one PKP Open Journal Systems (OJS) deployment. The observed chain involved an open redirect in…
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Artikel Jurnal
Evaluasi Pemanfaatan Online Compiler dan Autograder Sebagai Pendukung Aktivitasi Praktikum Pemograman Mahasiswa
The automation of programming practicum assessment using an online compiler has become increasingly important to address the limitations of manual evaluation, such as time inefficiency, subjectivity, and the lack of automated feedback support in conventional e-learning systems. This study aims to…
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Artikel Jurnal
Optimasi Deteksi Retakan Jalan Menggunakan Filter Sobel dan Klasifikasi Gaussian Naïve Bayes
Manual identification of road damage using simple measuring tools is considered inefficient, subjective, and time-consuming, hindering the infrastructure repair process. This study aims to optimize automatic road crack detection by combining edge detection for feature extraction and Gaussian Naive…