Výsledky vyhľadávania - "MALCOM: Indonesian Journal of Machine Learning and Computer Science"

Harnessing Machine Learning to Decode YouTube Subscriber Dynamics: Regression Predictive Models and Correlations Autor Mulyati, Sri, Samidi, Samidi

“…YouTube has grown and become a digital media giant. Content creators continue to struggle with predicting subscriber growth. Due to viewers' changing interests…”
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Risk Management Analysis in Digital Bank XYZ Using the COBIT 2019 Framework Autor Purnomo, Rudi, Harwahyu, Ruki

“…The digital transformation in the banking sector has driven the emergence of digital banks, offering online services without the need for physical branches…”
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Predictive Sales Analysis in Coffee Shops Using the Random Forest Algorithm Autor Windrasari, Shella Norma, Margono, Hendro, Putra, Yudistira Ardi Nugraha Setyawan

“…The coffee shop industry has experienced significant growth, evolving into a highly competitive marketplace demanding specialty coffee and personalized…”
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Smart Prescription Reader: Enhancing Accuracy in Medical Prescriptions Autor Yulianto, Ragil

“…Reading a doctor's handwritten prescription is a challenge faced by most patients and some pharmacists, which in some cases can lead to negative consequences…”
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Revolutionizing Corporate Event Planning with AI: A Cost-Efficiency Strategy for BuatEvent.id Autor Supriyadi, Muhammad, Rianto, Yan

“…BuatEvent.id leverages an AI-driven platform for event planning, powered by Gemini.ai—a sophisticated NLP model with an accuracy rate of 92.5%. The system…”
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Real-Time Road Damage Detection on Mobile Devices using TensorFlow Lite and Teachable Machine Autor Nova, Lusindah, Rianto, Yan

“…This study presents a mobile-based road damage detection system using Teachable Machine and TensorFlow Lite to support real-time monitoring and efficient…”
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Internet of Things Based Air Quality Monitoring System with Automatic Notification Autor Azizah, Devi Nur, Heranurweni, Sri, Idris, La Ode Muhamad

“…Internet of Things (IoT)-based air quality monitoring systems represent a significant advancement in urban environmental management. This research implements a…”
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Optimization of Customer Segmentation in the Retail Industry Using the K-Medoid Algorithm Autor Agustin, Endy Wulan, Uthami, Kurnia, Ulfa, Arvan Izzatul, Efrizoni, Lusiana, Rahmaddeni, Rahmaddeni

“…The retail industry faces significant challenges in understanding increasingly complex customer behavior due to massive data growth. One major obstacle is…”
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AI-Powered: Leveraging Teachable Machine for Real-time Scanner Autor Marcelly, Frizca Fellicita, Rianto, Yan

“…Effective inventory control is essential in optimizing profitability through cost control and efficiency expectations. Conventional inventory techniques…”
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Optimizing IT Governance in BTS.id: A COBIT 2019-Based Analysis of Design Factors Autor Tangka, George Morris William, Lompoliu, Erienika

“…Effective IT governance is critical for organizations to align technology with business objectives while ensuring risk management, compliance, and operational…”
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Analysis of Employee Capacity Gap in Managing Network Security and Its Implementation Towards Insider Threat Prevention Autor Sitorus, Felix Noel, Harwahyu, Ruki

“…Network security is crucial for protecting organizational information in the rapidly evolving digital era. Threats to networks do not only come from external…”
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Impact of Cover Parameter Value on Rule Generation in Rough Set Classification Autor Fityah, Farhatul, Sofyan, Pramudya Rakhmadyansyah

“…Machine learning plays a crucial role in healthcare classification, with Rough Set Theory (RST) offering effective tools for managing data uncertainty. Within…”
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Simulation of Student Study Group Formation Design Using K-Means Clustering Autor Putra, Yudistira Ardi Nugraha Setyawan, Margono, Hendro

“…This research focuses on developing a simulation model for forming student study groups using an enhanced K-Means algorithm, addressing the challenge of…”
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Agriculture Biomass for Sustainable Electricity Supply Systems: A Dynamic System Approach Autor Destianto, Arief Sandi, Mudjahidin, Mudjahidin

“…East Java has great potential in utilizing agricultural waste as a source of biomass energy to support the transition to New Renewable Energy (NRE). However,…”
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Implementation of Rapid Application Development (RAD) Method for Mobile-Based Ice Cream Ordering Application Autor Bahari, Ashroff Fazri, Pramudwiatmoko, Arif

“…Mobile technology has changed the way consumers interact with service and product providers. One of the impacts is the increasing need for online ordering…”
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Optimalisasi Pelayanan Pasien Melalui Aplikasi Antrian Berbasis Mobile Mengunakan Metode Agile: Optimalisasi Pelayanan Pasien Melalui Aplikasi Antrian Berbasis Mobile Mengunakan Metode Agile Autor Himawan, Dimas Bintang, Ikrimach, Ikrimach

“…Sistem pelayanan kesehatan di Puskesmas Rimbo Kedui yang masih manual menyebabkan antrian pasien panjang dan waktu tunggu yang lama, hal ini dapat berdampak…”
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Three-Phase Space Vector Pulse Width Modulation with Proportional Integral Derivative Control for High-Capacity Battery Charging Autor Nursandi, Elvin, Harahap, Charles Ronald, Setyawan, Fx Arinto

“…The growing consumption electricity has burdened the existing power grid, potentially leading to overloads and power outages when supply does not meet demand…”
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Evaluasi Perbandingan Sistem Operasi Linux untuk Pemanfaatan Client-Server: Studi Kasus Ubuntu dan Debian Autor Nasrulah, Dayu Ovtama, Hertaliando, Abdee Wahyu, Tullah, Rahmat, Ferawati, Ferawati

“…Linux merupakan sistem operasi yang populer dalam lingkungan client-server karena sifatnya yang open source dan fleksibel. Namun, banyaknya distribusi Linux…”
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Designing an ICT Service Chatbot at the Global Institute Autor Firgiawan, Annis, Asy'ari, Hasan, Susanto, Fredy, Bangun, Eka Uliyanti Putri Br

“…The design of an ICT service chatbot at Global Institute aims to enhance the efficiency and effectiveness of providing technical support to users, including…”
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Predicting Student Performance Using Deep Learning Models: A Comparative Study of MLP, CNN, BiLSTM, and LSTM with Attention Autor Airlangga, Gregorius

“…This study aims to predict student performance using deep learning models, including Multilayer Perceptron (MLP), Convolutional Neural Networks (CNN),…”
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