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Jurnal Teknologi dan Manajemen Informatika
ISSN 1693-6604 · Universitas Merdeka Malang · 160 artikel di indeks
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Artikel Jurnal
Comparative Analysis of LSTM-Based Models for Daily Gold Price Forecasting Using Time Series and Sentiment Features
This study examines the performance of three forecasting approaches for predicting daily gold prices: a Pure Long Short-Term Memory (LSTM) model, a Hybrid LSTM + Prophet model, and an LSTM model enhanced with sentiment features. Daily price data from 2013 to 2023 were used, and all evaluation…
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Artikel Jurnal
Traditional Snack Image Classification Using ResNet50 and EfficientNetB0: A Comparative Study for Smart Culinary Tourism in Jakarta
This study is motivated by the significant potential of Jakarta’s traditional culinary sector in tourism, which is not yet supported by interactive digital identification media for tourists. This research aims to implement a Convolutional Neural Network (CNN) algorithm to automatically classify…
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Artikel Jurnal
Optimizing Endless Runner Game Player Performance Using a Hybrid GMF-MLP Recommendation System Based on Neural Collaborative Filtering
Endless Runner games feature exponentially increasing difficulty as distance grows, often causing character failure and player frustration, largely because players struggle to select power-ups suited to their current difficulty context. While prior recommender-system research has mostly focused on…
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Artikel Jurnal
Analysis of the Relationship Between TikTok Engagement and SME Brand Awareness Using Pearson Correlation and Linear Regression
The increasing use of social media, particularly TikTok, has strengthened its role as a digital marketing platform that encourages customer interaction and enhances brand awareness. This study investigates the relationship and influence of TikTok engagement on brand awareness in SME Fanny’s Lapis…
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Attitude Does Not Moderate Influence Perceived Ease of Use, Perceived Usefulness, and Perceived Risk on The Adoption of Fintech Technology
This study aims to determine the effect of Perceived Ease of Use, Perceived Usefulness, and Perceived Risk on the adoption of fintech technology with attitude as a moderating variable. The type of research used is explanatory research. The sample in this study were 91 respondents, students of STIE…
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Artikel Jurnal
Comparative Analysis of SMOTE, WMOTE, and ADASYN Oversampling Methods on Multinomial Naive Bayes Performance in Classifying Toddlers Nutritional Status
Class imbalance in toddler nutritional status data often reduces the ability of classification models, especially in predicting minority classes. This study aims to analyze the impact of three oversampling techniques, namely SMOTE, WMOTE, and ADASYN, on improving the performance of the Multinomial…
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Artikel Jurnal
Application of VGG16 Deep Learning Architecture and K-Means for PCOS Severity Clustering Based on Ovarian Ultrasound Images
Polycystic Ovary Syndrome (PCOS) is a complex hormonal disorder that significantly impacts the reproductive and metabolic health of women. A primary challenge in PCOS analysis is the reliance on subjective manual observations of ultrasound (USG) images, which are prone to inconsistency due to the…
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Artikel Jurnal
Comparative Analysis of Unsupervised Methods for Anomaly Detection in IoT-Based Pharmaceutical Cold Chain Temperature
Maintaining vaccines within the 2°C–8°C range throughout cold chain storage and distribution is essential, since temperature excursions can degrade their biological potency. The growth of IoT-enabled sensors now allows continuous temperature data collection, opening the door to automated anomaly…
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Artikel Jurnal
New Approach: Customer Segmentation using RFM Model and Demand Classification
This research introduces an integrated data mining framework that combines RFM (Recency, Frequency, Monetary) analysis with demand pattern classification—encompassing Smooth, Erratic, Intermittent, and Lumpy categories—to refine customer segmentation strategies. While RFM effectively captures…
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Artikel Jurnal
Optimized LightGBM Model for Predicting Total Cup Points of Arabica Coffee using Sensory Cupping Data
Evaluating coffee quality through sensory cupping is essential but inherently subjective, as scoring depends on the consistency and expertise of professional panelists. To improve objectivity, this study applies the Light Gradient Boosting Machine (LightGBM) algorithm to predict the Total Cup…
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Artikel Jurnal
Market Value Tier Classification of Indonesian Football Players using Ensemble Machine Learning and SHAP Analysis
The persistent discrepancy between actual transfer fees and the theoretical market values of football players highlights the need for a more objective and data-driven framework for player valuation. This study aims to classify the market value tiers of Indonesian Liga 1 players in the 2024/2025…
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Artikel Jurnal
Implementation of the CNN-LSTM Hybrid Model in Predicting Bitcoin Price Fluctuations
Digital financial systems of today face formidable obstacles from the extreme price volatility and unpredictability of Bitcoin. Data cleaning, Min-Max normalization, and sequence creation with a sliding window were performed on the daily BTC-USD historical data received from Yahoo Finance from 2020…
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Development of a Web-Based and Mobile Psychological Consultation Queue Service at DP3AKB Balikpapan with API
The increasing demand for effective public services necessitates a more efficient queue management system. This study aims to design and implement a real-time online queue application for web and mobile platforms, using the Django and Flutter frameworks, and integrating Application Programming…
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Artikel Jurnal
Application of YOLO11 and Long Short-Term Memory Architecture for Exercise Form Evaluation in Weightlifting
Exercise provides significant benefits for physical health, and weightlifting has become increasingly popular among fitness enthusiasts. However, improper lifting techniques often lead to injuries, discouraging beginners and affecting long-term training consistency. To address this issue, this…
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Artikel Jurnal
Comparative Performance of Machine Learning Algorithms for Detecting Online Gambling Promotional Comments on Youtube
Online-gambling promoters increasingly exploit YouTube comment sections, using text obfuscation, Unicode characters, emojis, irregular spacing, and symbols to evade automated moderation. This study aims to identify the most effective machine-learning algorithm for detecting such promotional…
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Artikel Jurnal
Ashabul Kahfi Serious Game with Adaptive Recommendation System Based on Knowledge-Based Filtering and MULTIMOORA for Islamic Education
This study aims to develop a serious game based on the story of Ashabul Kahfi using a difficulty level recommendation system based on Knowledge-Based Filtering (KBF) and the MULTIMOORA method. This game is designed for elementary school students in the context of Islamic religious education…
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Artikel Jurnal
Sentiment Analysis Of NTB Syariah Bank Application Services using The Naïve Bayes and Support Vector Machine Methods
This research analyzed user sentiment toward the NTB Syariah application using Support Vector Machine (SVM) and Naïve Bayes classification methods. A dataset comprising 814 reviews was obtained via web scraping, with 245 allocated for testing. Preprocessing encompassed cleaning, case folding…
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Artikel Jurnal
Rule-Based Pitch Inference in Optical Music Recognition on Polyphonic Scores using YOLOv12
Optical Music Recognition (OMR) faces significant challenges when applied to polyphonic music scores, due to the high symbol density and the overlapping of notes. This study proposes a hybrid method of combining the detection of noteheads using YOLOv12 with rule-based pitch inference, which…
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Artikel Jurnal
Optimasi K-Nearest Neighbor dengan Particle Swarm Optimization pada Klasifikasi Pelanggan Listrik Rumah Tangga Bersubsidi
This research optimizes the K-Nearest Neighbor (KNN) method using Particle Swarm Optimization (PSO) for classifying household electricity subsidy power in Gorontalo Province. Using P3KE data with 98,859 records, this research aims to improve the accuracy of classifying 450 VA and 900 VA power for…
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Artikel Jurnal
Classification of Wrist Accessories: Advanced Watches with Logistic Regression, SVM, and Deep Features from Inception V3 and VGG-19
This study proposes a hybrid classification framework for wrist accessories (Analog, Automatic, Digital, and Smartwatches) by combining deep learning-based feature extraction (Inception V3 and VGG-19) with traditional classifiers (Logistic Regression and SVM). The Inception V3 + Logistic Regression…