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IJID (International Journal on Informatics for Development) (2026)
ISSN 2252-7834 · State Islamic University Sunan Kalijaga · 201 artikel di indeks
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Artikel Jurnal
Comparative Analysis of The Combination of Metaheuristic and Machine Learning Algorithms
Diabetes affects about 1.9% of the global population, mainly through Type 2 diabetes. Machine learning (ML) serves a pivotal role in enhancing diabetes prediction by analyzing complex datasets. Feature selection, a crucial ML pre-processing step, improved prediction accuracy by identifying relevant…
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Artikel Jurnal
Modified Simple Additive Weighting with Ideal Distance Compensation for Improved Ranking Stability
The Simple Additive Weighting (SAW) method is a widely recognized and straightforward approach for multi-criteria decision-making. Yet it is prone to ranking instability due to its sensitivity to weight variations, normalization scales, and extreme values. To overcome these challenges, this study…
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Artikel Jurnal
Strategic Action for Enhancing Bali Tourism Based on Sentiment Analysis and Topic Modeling
Bali was a prominent global tourism destination and a leading contributor to Indonesia’s tourism revenue. Despite its unique attractions, Bali faced challenges such as overtourism, traffic congestion, and environmental degradation. To explore ways to improve Bali’s tourism, this study analyzed…
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Artikel Jurnal
Modification of the Weighted Product Model: Towards a Fairer and More Rational Ranking
The weighted product (WP) method is one of the popular methods in decision support systems (DSSs) due to its simplicity, calculation efficiency, and ability to handle various types of criteria with different weights. This research proposes a modification to the WP model designed to enhance fairness…
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Artikel Jurnal
Analyzing Anthropometric Feature Dependency in Obesity Classification Using Feature Ablation
Obesity classification models often rely heavily on anthropometric features, particularly weight and height, because both variables directly contribute to body mass index (BMI) calculation. This study investigates the extent of such dependency using feature ablation and error analysis. Experiments…
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Artikel Jurnal
Development and Post-Hoc Evaluation of a Transformer-Based Mental Health Chatbot Using the ESPRT Framework
Mental health disorders are an increasing global concern, yet access to professional care is still limited due to resource shortages and persistent social stigma. Artificial intelligence–based chatbots have therefore emerged as a potential tool for providing early support. However, developing…
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Artikel Jurnal
Sentiment Analysis on Shopee Xpress Delivery Time Reviews Using Support Vector Machine and Logistic Regression
This study examines user sentiment towards Shopee Xpress delivery times using machine learning techniques. We collected 497 reviews from platforms like X and the Google Play Store, leveraging the valuable feedback despite its unstructured and informal nature. After labelling 398 reviews for model…
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Artikel Jurnal
Implementation of Federated Learning for Alzheimer's Disease Classification Using FedAdagrad Algorithm
Federated Learning (FL) offers a promising solution for training machine learning models on decentralized data while preserving privacy, making it particularly valuable for sensitive applications such as healthcare. This study implements FL for the classification of Alzheimer’s disease using MRI…
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Artikel Jurnal Teks lengkap
Assessing AI Integration in Islamic Higher Education: A Mixed-Methods Fishbone Diagram Analysis
The integration of Artificial Intelligence (AI) in higher education has shown significant potential to improve the efficiency and effectiveness of learning. The strategic implementation of AI in State Islamic Higher Education Institutions (Perguruan Tinggi Keagamaan Islam Negeri/ PTKIN) fosters…
Juga tersedia di: DOAJ
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Artikel Jurnal
Improving Osteosarcoma Detection through SMOTE-Driven Machine Learning Approaches
Osteosarcoma is an aggressive and highly malignant bone cancer primarily affecting adolescents and young adults, with males being more commonly affected. Although deep learning models such as YOLO (95.73% accuracy) and VGG19 (95.25% accuracy), have demonstrated effectiveness in osteosarcoma…
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Artikel Jurnal
Price Forecasting of Chili Variant Commodities Using Radial Basis Function Neural Network
This study addresses the challenge of price instability in chili markets, which can lead to economic losses and inflation. To mitigate this issue, we propose a machine learning model using Radial Basis Function Neural Networks (RBFNN) to predict prices of various chili variants. Our quantitative…
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Artikel Jurnal
IT Infrastructure Assessment using the COBIT 2019 Framework
The Admission Office is responsible for student enrollment, and since 2013, the admission process at UIN Sunan Kalijaga has been supported by information technology. To assess the current state of the IT infrastructure in this university, the COBIT 2019 Framework was used. This study identifies…
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Artikel Jurnal
Uncovering Insights in Spotify User Reviews with Optimized Support Vector Machine (SVM)
The rapid growth of user-generated reviews on platforms like Spotify necessitates efficient analytical techniques to extract valuable insights. This study employs a Support Vector Machine algorithm, optimized using Forward Selection, Backwards Elimination, Optimized Selection, Bagging, and…
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Artikel Jurnal
The Impact of Algorithms on Decision-Making in Daily Life: A Polling Study of Technology Users
Algorithms have become an integral part of everyday life, particularly in entertainment, shopping, and navigation. This study examines how algorithms influence individual decision-making. Data were collected through an online poll involving 200 respondents, selected using a statistical sampling…
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Artikel Jurnal
Implementation and Performance Analysis of PVD Method in Concealing Encrypted Data on Images
This research aims to secure text data by combining steganography and cryptography. The Pixel Value Differencing (PVD) method allows for higher data insertion capacity with minimal distortion, thereby increasing resistance to steganalysis. However, the PVD steganography method is vulnerable to…
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Artikel Jurnal
Towards Fair and Efficient Timetabling: A Genetic Algorithm Model Integrating Lecturer Day-Off Requests
This study tackles the complex challenge of lecture timetabling by incorporating lecturer day-off preferences, a crucial constraint often neglected in traditional scheduling methods. Given the NP-hard nature of the problem and the need for scalable solutions, a Genetic Algorithm (GA) was employed…
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Artikel Jurnal
LDA Topic Modeling Analysis of Public Discourse on Indonesia’s Free Nutritious Meals Program (MBG)
This study investigates public discourse on Indonesia's Free Nutritious Meals (Makan Bergizi Gratis/MBG) program through Latent Dirichlet Allocation (LDA) topic modeling of YouTube comments. Filling a research gap on online public opinion regarding the MBG policy, this study identifies dominant…
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Artikel Jurnal
A Hybrid Approach of Pearson Correlation and PCA in Feature Selection for Opinion Mining
This study proposes a hybrid feature selection approach that combines Pearson Correlation and Principal Component Analysis (PCA) to improve classification performance in opinion mining tasks. The rapid growth of e-commerce on social media platforms, such as TikTok, has generated a significant…
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Artikel Jurnal
Early Detection of Diabetic Retinopathy Through Explainable AI Models: A Systematic Review
Diabetes, if not detected early, can lead to serious complications such as vision loss, known as diabetic retinopathy. Explainable Artificial Intelligence (XAI) can enhance traditional Machine Learning methods, which are not understandable and transparent in diagnostic tasks. This Systematic…