51 hasil untuk machine learning
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Artikel Jurnal
Analisis Sentimen Penipuan Asuransi Menggunakan Machine Learning
Penipuan asuransi merupakan salah satu bentuk kejahatan keuangan yang merugikan perusahaan maupun masyarakat, serta menurunkan kepercayaan publik terhadap industri asuransi. Analisis sentimen berbasis media sosial dapat memberikan gambaran mengenai opini masyarakat terhadap isu ini secara lebih…
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Artikel Jurnal
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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Artikel Jurnal
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…
Dari koleksi institusi
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
- Analisis Sentimen Penipuan Asuransi Menggunakan Machine LearningSetiawan, Rahmadi; Zamsuri, Ahmad dkk. · 2025 · Artikel Jurnal
- Clustering Of Library’s Patron Behavior Using Machine LearningMonika, Winda; Nasution, Arbi Haza dkk. · 2025 · Artikel Jurnal
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Artikel Jurnal
Pemodelan Spasial untuk Analisa Produksi Padi Integrasi Machine Learning
The growing human population has sparked interest in accurate rice production prediction. This research combines Geographic Information Systems and machine learning to model rice paddy production prediction with minimal error. Using linear regression, this research analyzes rice paddy production in…
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Artikel Jurnal
Bibliometric Study : Rainfall Classification - Prediction using Machine Learning Methods
This Research aims to review the machine learning methods used for classifying or predicting rainfall, using various features from existing data. The study used a bibliometric approach to search for metadata related to rainfall classification and prediction studies using machine learning keywords…
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Review of Machine Learning Algorithm for Intrusion Detection System
…threats to information systems. In recent years, the application of machine learning algorithms has significantly enhanced the effectiveness of IDS. This systematic literature review (SLR) analyzes and summarizes research studies on IDS using machine learning techniques from 2019 to 2023. The…
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Artikel Jurnal
DETEKSI HATE SPEECH PADA PEMILU 2024 MENGGUNAKAN ALGORITMA MACHINE LEARNING
…mengembangkan sistem Klasifikasi pelecehan seksual menggunaka algoritma machine learning dengan pendekatan aspect base sentiment analysis Algoritma Machine Learning. Metode yang digunakan melibatkan pengumpulan data teks dari berbagai sumber online yang berkaitan dengan pelecehan seksual…
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PELATIHAN PENGENALAN MACHINE LEARNING BAGI SISWA SMK NEGERI 2 PEKANBARU
The machine learning training at SMK Negeri 2 Pekanbaru aims to introduce the basic concepts of machine learning, including Python programming and the use of the Scikit-Learn library. In the era of Industry 4.0, skills in artificial intelligence and machine learning are crucial to prepare students…
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Artikel Jurnal
Pengembangan Aplikasi Simulasi Investasi Reksadana Dengan Algoritma Machine Learning Prophet
…This research focuses on adding an investment simulation feature using a Machine Learning algorithm that can automate the detection of trends and seasonality in mutual fund products. The method used in the website development is the Agile method in the System Development Life Cycle (SDLC). In…
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Artikel Jurnal
UTILIZATION OF MACHINE LEARNING ALGORITHMS FOR CUSTOMER COMPLAINT CLASSIFICATION AT PERUMDAM
…handle large volumes of data. This study focuses on the application of machine learning algorithms, namely Logistic Regression, LightGBM, and Random Forest, to classify customer complaints based on patterns in the data. The research stages include dataset collection, data preprocessing such as…
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Artikel Jurnal
Comparative Analysis of Advanced Machine Learning Models for SME Credit Risk Classification
…of this research is to comparatively evaluate the performance of advanced machine learning models in multi-class SME credit risk classification and to identify the most influential predictors affecting creditworthiness. A quantitative experimental approach was employed using 2,000 SME debtor…
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Artikel Jurnal
Pendekatan Machine Learning untuk Analisis Sentimen Ulasan Capcut: Studi Komparatif Svm dan Naive Bayes
Penelitian ini bertujuan untuk menganalisis sentimen ulasan pengguna aplikasi CapCut yang diambil dari Google Play Store menggunakan algoritma Support Vector Machine (SVM) dan Naive Bayes. Sebanyak 5.000 ulasan berbahasa Indonesia dikumpulkan melalui Google Play Scraper dan diproses dengan tahapan…
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Artikel Jurnal
Comparative Study of the Effect of Datasets and Machine Learning Algorithms for PDF Malware Detection
This research presents an innovative approach to detecting malicious PDFs through machine learning algorithms, focusing on the expansion of the Evasive-PDFMal2022 dataset. The objective is to enhance the accuracy of detecting malicious PDFs by enriching the dataset, augmenting its representation…
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Artikel Jurnal
CLASSIFICATION OF GENERAL CRIMINAL CASE TYPES AT THE BENGKULU HIGH PROSECUTOR’S OFFICE USING MACHINE LEARNING ALGORITHMS
…approach to optimize this classification process is the application of machine learning algorithms. This study aims to develop a classification model capable of identifying the types of general criminal cases based on the available case data. The algorithms employed in this research include…
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Artikel Jurnal
Comparative Review of Machine Learning Models for Mobile Price Prediction Based on Specifications: A Systematic Literature Analysis
This systematic literature review analyzes machine learning approaches for mobile phone price prediction based on device specifications through a comprehensive examination of 25 research studies from 2018 to 2024.The review reveals that ensemble methods, particularly Random Forest (achieving up to…
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Artikel Jurnal
Penerapan Metode Finite State Machine Pada Game Pembelajaran Matematika
…a business and various other examples related to mathematics lessons. In learning mathematics, students experience problems in understanding mathematical material. The problem faced by students is the lack of understanding of students in learning mathematics because students are used to finding…
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Artikel Jurnal
OPTIMALISASI ALGORITMA SUPPORT VECTOR MACHINE PADA ASPECT-BASED SENTIMENT ANALYSIS MENGGUNAKAN GRIDSEARCHCV
Support Vector Machine (SVM) merupakan salah satu algoritma Machine Learning yang umum digunakan untuk menyelesaikan permasalahan klasifikasi. SVM sangat baik digunakan untuk klasifikasi biner, tetapi masih kurang optimal dalam melakukan klasifikasi multi-class. SVM masih mendapatkan akurasi yang…
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SENTIMENT ANALYSIS APLICATION RUANG GURU USING NAIVE BAYES AND SUPPORT VECTOR MACHINE
The rapid development of information technology has encouraged various innovations in the field of education, one of which is online learning applications such as Ruang Guru. As one of the largest learning platforms in Indonesia, Ruang Guru receives numerous user reviews that can be utilized to…
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Artikel Jurnal
ANALISIS SENTIMEN TERHADAP ULASAN PADA WHIZ PRIME HOTEL SUDIRMAN PEKANBARU MENGGUNAKAN SUPPORT VECTOR MACHINE DAN NAIVE BAYES
…Whiz Prime Hotel Sudirman Pekanbaru menggunakan algoritma Support Vector Machine (SVM) dan Naive Bayes. Data sebanyak 4336 ulasan dikumpulkan dari situs Traveloka, kemudian diproses menggunakan metode Term Frequency-Inverse Document Frequency (TF-IDF). Setelah tahap praproses, sebanyak 2165 ulasan…
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Artikel Jurnal
Perancangan sistem identifikasi penyakit pada daun kelapa sawit (Elaeis guineensis Jacq.) dengan algoritma deep learning convolutional neural networks
…efforts in precision agriculture use the concepts of computer vision and machine learning. This study's problem was the need for machine learning and computer vision-based software to identify diseases to realize sustainable oil palm plantation practices. Disease detection includes a description of…