1,505 results for machine learning
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Thesis / Dissertation Full text
Klasifikasi Penjurusan Siswa Smadenganmenggunakan Algoritma Machine Learning
…dalam proses penjurusan makadimanfaatkannya algoritma klasifikasi machine learning dalamproses penjurusansiswa. Dalam melakukan klasifikasi machine learning, penelitianini menggunakan empat algoritma machine learning yaitu K-Nearest Neighbors, Support Vector Machine, Random Forest dan Naïve Bayes…
Also available at: Institutional Repository
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Journal Article
Heart Disease UCI Machine Learning
Dataset yang digunakan bersumber dari https://archive.ics.uci.edu/ml/datasets/heart+disease
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Journal Article
Optimizing Machine Learning in Hospitality Industry
…accuracy and adaptability. This research contributes to advancing machine learning applications in hospitality, providing actionable insights to improve operational performance, guest satisfaction, and competitive positioning.
From your institution’s collections
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
- Klasifikasi Penjurusan Siswa Smadenganmenggunakan Algoritma Machine LearningFebrian, Ruben · 2024 · Thesis / Dissertation
- Klasifikasi Penjurusan Siswa Sma Dengan Menggunakan Algoritma Machine LearningFebrian, Ruben · 2024 · Thesis / Dissertation
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Journal Article
MACHINE LEARNING FOR EMPLOYMENT POSITION MAPPING
Employee performance directly impacts organizational efficiency, yet traditional HR analytics often lack predictive precision. This study bridges HR theory and machine learning by evaluating tree-based algorithms for employee data analysis. Using a dataset of 15,227 employee records, we tested the…
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APPLIED MACHINE LEARNING IN LOAD BALANCING
…of a load balancer to manage server loads. In this paper, we propose a machine learning algorithm that utilizes server resources CPU and memory to forecast the future of resources server loads. We identify the timespan of forecasting should be long enough to avoid dispatcher's lack of information…
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Reservoir inflow prediction using machine learning techniques
Accurate reservoir inflow prediction is vital for effective water resource management in regions like the Upper Indus Basin (UIB), characterized by complex hydrological dynamics and increasing climate variability. This study evaluates the performance of Random Forest and KNN algorithms in…
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MACHINE LEARNING FOR E-COMMERCE FRAUD DETECTION
The study examines the effectiveness, challenges, and best machine learning algorithms for detecting e-commerce fraud. This study uses a systematic literature review to evaluate the effectiveness of machine learning-based e-commerce fraud detection, identify challenges, and identify the most…
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Implementasi Machine Learning untuk Pengenalan Penggunaan Makeup
Learning makeup can be challenging, especially for beginners who need to understand face shapes, color gradients, and composition. This study presents a machine learning-based system designed to recognize face shapes and recommend makeup styles. Key features include video tutorials tailored to the…
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Journal Article
Predicting Startup Success Using Machine Learning Approach
Predicting startup success is important because it helps investors, entrepreneurs, and stakeholders allocate resources more efficiently, minimize risks, and enhance decision-making in an uncertain and competitive environment. Therefore, investors need to predict whether a startup will succeed or…
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Identifikasi Arsip Digital dengan Pendekatan Machine Learning
…The research methodology combines clustering and classification in machine learning to determine 6 brands of cellphone cameras. The total data used in this experiment is 2400 archived digital images. The experimental results show that the identification rate of classification accuracy is 99%. This…
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Thesis / Dissertation Full text
Penerapan Algoritma Machine Learning Dalam Memberikan Rekomendasi Buku Pada Perpustakaan Taman Bacaan Masyarakat Kota Pekanbaru
Sistem rekomendasi memiliki peran penting dalam memperkaya pengalaman pengguna dalam menemukan dan memilih buku yang sesuai dengan minat dan preferensi mereka. Penelitian ini bertujuan menerapkan algoritma K-Nearest Neighbors (K-NN) dengan pendekatan Item-Based Collaborative Filtering untuk…
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Journal Article
Deteksi Phishing Website Menggunakan Machine Learning Metode Klasifikasi
…Q3 2022 sebanyak 7.988. Penelitian ini bertujuan untuk mencari algoritma machine learning klasifikasi dengan performa terbaik untuk mendeteksi phishing website menggunakan fitur-fitur URL. Algoritma klasifikasi yang akan dibandingkan adalah decision tree, random forest, dan KNN. Hasil dari…
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Journal Article
Clustering Of Library’s Patron Behavior Using Machine Learning
…with them. This work tries to bridge this gap by offering a novel use of machine learning to analyze and classify library patron behavior. Customers were categorized based on their age range, checkouts, and renewals using the KMeans clustering technique. Dimensionality reduction methods like PCA…
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Journal Article
Machine Learning Implementation for Computer Network Performance Optimization
…and adaptive connectivity. This study explores the application of Machine Learning (ML) techniques as a strategic approach to enhancing network performance, with a focus on three key algorithms: Random Forest for detecting anomalies, Long Short-Term Memory (LSTM) for predicting network traffic…
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Implementasi Metode Machine Learning: Penentuan Sistem Pusat Permukiman
…teknologi informasi pada perencanaan tata ruang kota. Menggunakan metode machine learning dalam klasifikasi hirarki berdasarkan variabel pembentuk kota sangatlah memungkinkan. Proses input-process data menggunakan python. Pemilihan dataset didasarkan karakteristik kota yang serupa untuk mencapai…
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Journal Article
Komparasi Algoritma Machine Learning Untuk Memprediksi Penyakit Alzheimer
…mendeteksi penyakit alzheimer adalah dengan memanfaatkan model algoritma machine learning. Pada penelitian ini tim penulis bertujuan untuk membandingkan model algoritma machine learning agar diketahui model dengan hasil yang lebih baik dalam prediksi penyakit Alzheimer. Model machine learning untuk…
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COAL DEMAND PREDICTION MODEL USING MACHINE LEARNING METHODS
…models. This research aims to forecast coal demand using statistical and machine learning methods, namely ARIMA, Exponential Smoothing, Support Vector Regression (SVR), Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM). The evaluation methods used to analyze forecasting performance…
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Modeling Multidimensional Social Welfare Using Machine Learning Analysis
…multidimensional social welfare across provinces in Indonesia using a machine learning approach. The analysis is based on official data from Statistics Indonesia (BPS), covering five key dimensions: health, economy, education, infrastructure, and employment. The data were transformed using…
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Journal Article
Perbandingan Algoritme Machine Learning untuk Memprediksi Pengambil Matakuliah
…membandingkan algoritme k-Nearest Neighbor (k-NN) dan Support Vector Machine (SVM) untuk kasus prediksi pengambil matakuliah. Hasil pengujian menggunakan 3 mata kuliah sebagai sampel. Dari hasil rerata, diperoleh hasil prediksi k-NN memiliki kinerja yang lebih baik daripada SVM. Selain itu…
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