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Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
ISSN 2086-4884 · Universitas Lancang Kuning · 243 artikel di indeks
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Artikel Jurnal
Decision Support System for Determining the Suitability of Vegetable Cultivation Using the Multifactor Evaluation Process Method
The challenge faced by farmers today is that it is still difficult to determine the types of vegetable crops that are suitable for cultivation according to environmental conditions, namely climate, soil type, and water requirements. Inaccuracies in choosing crop types are often caused by limited…
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Artikel Jurnal
A Review of Cloud Computing and AI Applications in Digital Marketing for Web-Enabled Enterprises
This review examines how organizations are integrating cloud computing with artificial intelligence (AI) to enhance their digital marketing capabilities. We scrutinised scholarly articles, industry white papers, and illustrative corporate case studies covering the 2018–2025 period, with the aim of…
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Artikel Jurnal
Hyperparameter Optimization of IndoBERT for DeepSeek User Sentiment Analysis
This study aims to evaluate the performance of the IndoBERT model in sentiment classification of user reviews for the DeepSeek application on the Google Play Store. The reviews were categorized into three sentiment classes: positive, neutral, and negative. The dataset was collected through web…
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Artikel Jurnal
Optimization of Incung Ancient Manuscript Character Recognition Using Template Matching and Image Enhancement
Ancient manuscripts represent valuable cultural heritage but are highly vulnerable to physical degradation and loss of public understanding. One such heritage is the Incung script manuscripts from Kerinci Regency, Indonesia, which remain underexplored in digital recognition research. This study…
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Artikel Jurnal
Sensitivity Analysis of Parameter Control in Leukemia Classification Using Variable-Length Particle Swarm Optimization
Machine learning has the potential to support hematologists in classifying leukemia by identifying abnormal chromosomes and specific gene markers. One effective technique for feature selection is Variable-Length Particle Swarm Optimization (VLPSO), where its performance depends heavily on parameter…
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Artikel Jurnal
Modeling Multidimensional Social Welfare Using Machine Learning Analysis
The measurement of regional welfare in Indonesia is still dominated by economic indicators and therefore does not fully capture broader social conditions. This study aims to model and analyze multidimensional social welfare across provinces in Indonesia using a machine learning approach. The…
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Artikel Jurnal
Diabetic Retinopathy Detection via PCA-MLP Using Independent GLCM and EfficientNetB3 Descriptors
Diabetic Retinopathy (DR) is a microvascular complication of diabetes and a leading cause of preventable blindness. Manual diagnosis through fundus imagery is time-consuming and requires highly specialized expertise. This study proposes an automated DR detection system through a comparative…
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Artikel Jurnal
Analytical Hierarchy Process and Simple Additive Weighting Methods for Ranking Public Complaint Applications with ISO/IEC 25010
An integrated decision support framework for evaluating and ranking public complaint applications operated by city governments in West Java Province, Indonesia, is presented in this study. The Analytical Hierarchy Process is employed to derive expert-based weights for the ISO/IEC 25010 software…
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Artikel Jurnal
Towards an Automated Essay Evaluation System NLP Based Text Embeddings and Similarity Metrics
This study aims to develop an automatic essay answer assessment system based on Natural Language Processing (NLP) to reduce the time and effort required for evaluation. The system uses Cosine Similarity and Manhattan Distance as evaluation metrics and implements two text embedding methods—Term…
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Artikel Jurnal
Clustering Of Library’s Patron Behavior Using Machine Learning
Libraries collect a lot of important transaction data, but they rarely use this information to improve how consumers interact 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…
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Artikel Jurnal
Deep Learning for Horticulture: Convolutional Neural Network Driven Classification of Banana Types
One of the most widely grown horticulture fruits in Indonesia is the banana. In addition to its various health benefits, bananas are a good source of carbohydrates and vitamins A, C, and E. There are a lot of different kinds of bananas in Indonesia, and occasionally people have trouble telling them…
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Artikel Jurnal
Naïve Bayes Alpha Parameter Optimization with Ant Colony for Clinical Text Classification
This study addresses the challenges of text classification in domain-specific Natural Language Processing (NLP) within the medical field, which differs significantly from general NLP due to the presence of complex medical jargon and informal language in clinical documents. The primary objective of…
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Artikel Jurnal
Improvement of FPS and Efficiency of Parameters Mask R-CNN with MobileNetV3 Small for Cardboard Detection
Inventory management in warehouses often experiences discrepancies in recording the number of cardboard boxes due to errors during the manual recording process. To overcome this problem, a cardboard detection method was developed using the Default Mask R-CNN model and a modified model using…
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Artikel Jurnal
Evaluating Contextual Embedding Models for Multi-Label PICO Classification in Heart Disease: Addressing the Intervention - Comparison Bottleneck
Accurate extraction of Population, Intervention, Comparison, and Outcome (PICO) elements from clinical texts is essential for supporting evidence-based medicine, particularly in cardiology where clinical data complexity presents significant challenges. This study investigates the comparative…
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Artikel Jurnal
Implementing Offline Servers for Digital Library and Streaming Services in Areas with No Internet Access
Access to digital libraries and streaming services is often limited in regions with no internet connectivity, commonly referred to as blank spot areas. This paper presents the design and implementation of an offline server system to provide digital library and multimedia streaming services in…
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Artikel Jurnal
Integrated Named Entity Recognition and Identical-Entity Detection for Extracting Unique Information Sources in News Articles
Native advertising is often difficult to detect because it resembles regular news articles. One indicator is the absence of diverse information sources or the reliance on a single perspective. Therefore, it is necessary to employ an extraction technique capable of consolidating various forms of…
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Artikel Jurnal
Augmented Reality as a Catalyst for Innovation in the Ishihara Test for Color Blindness Detection
Color blindness affects approximately 8% of the global population, emphasizing the importance of early detection. The conventional Ishihara Test had several limitations, such as paper degradation, low interactivity, and difficulties in maintaining children’s focus. This research introduces…
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Artikel Jurnal
Modelling the Hatching Success of Sea Turtle Eggs Using Long Short-Term Memory (LSTM) for Conservation Oriented Ecotourism
This study proposes a Long Short-Term Memory (LSTM) model to predict the hatching success of sea turtle eggs in the Anambas Islands Marine Conservation Area, Indonesia. Leveraging nesting data (2022–2024) provided by LKKPN Pekanbaru and associated environmental variables, the model’s performance…
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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
RoBERTa-BiLSTM-Conv1D Deep Learning Model for Detecting Persuasive Content in News
The use of persuasive language is one of the defining features of native advertisements. Therefore, detecting persuasive content in news is essential, since native ads often appear disguised as legitimate news articles, it is crucial to identify and filter such content to maintain objectivity and…