373 hasil
Menampilkan 1–20 · 0,73 detik · RSS
Ilkom Jurnal Ilmiah
ISSN 2087-1716 · Fakultas Ilmu Komputer UMI · 373 artikel di indeks
-
Artikel Jurnal
Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance
Acquired Immunodeficiency Syndrome (AIDS) caused by the Human Immunodeficiency Virus (HIV) is one of the deadliest infectious diseases in the world. Understanding its spread and epidemiological characteristics is crucial for developing and preventing more effective treatments. This study uses the…
-
Artikel Jurnal
Refining the Performance of Neural Networks with Simple Architectures for Indonesian Sign Language System (SIBI) Letter Recognition Using Keypoint Detection
The diversity of non-verbal communication styles among persons with disabilities in Indonesia highlights the urgent need for technological solutions that support accessibility in both workplace settings and social contexts. This study proposes a novel approach to improving neural network…
-
Artikel Jurnal
Utilization of Deep Learning YOLO V9 for Identification and Classification of Toraja Buffalo Breeds
This study aims to develop and evaluate a buffalo breed detection system that supports the cultural practices of the Toraja community, particularly in the context of the Rambu Solo’ ceremony. The ceremony places significant importance on the types of buffaloes used, as each breed symbolizes…
-
Artikel Jurnal
Decision Support System on Independent Curriculum Learning Models with Artificial Intelligence at Islamic Universities
The design of curricula in Islamic universities frequently encounters difficulties in addressing the evolving needs of students, industry demands and the distinctive integration of Islamic values. Conventional methodologies are inadequate in their capacity to adapt to the evolving needs of the…
-
Artikel Jurnal
Tackling Attendance Analysis: Unraveling Employee Patterns using K-means Clustering for Workforce Optimization
This study aims to apply the K-Means Clustering method using employee attendance data. The background of this research problem is to improve the understanding and management of employee attendance by identifying similar attendance patterns in different groups. Employee attendance impacts their…
-
Artikel Jurnal
Implementation Of Deep Learning Using Convolutional Neural Network Method In A Rupiah Banknote Detection System For Those With Low Vision
The application of deep learning in various sectors continues to grow due to its ability to provide efficient and effective solutions to complex problems. One significant implementation is in object detection, such as identifying Indonesian rupiah banknotes. This innovation aims to assist…
-
Artikel Jurnal
Detection of Drivers Drowsiness on Four-Wheeled Vehicles using the Haar Cascade Algorithm and Eye Aspect Ratio
One of the most common types of threats to four-wheeled vehicle drivers is microsleep. Microsleep is a condition in which a person's loss of attention or consciousness due to a state of fatigue or drowsiness. In general, microsleep lasts for a short duration, about a fraction of a second to a full…
-
Artikel Jurnal
Detection of Back Cover Material Defects Based on Convolutional Neural Network and TensorFlow
The application of deep learning using TensorFlow to improve the efficiency of material quality control is highly needed. In this case, the material quality inspection process in the form of a back cover is an important phase in the production chain. Damage resulting from industrial machinery…
-
Artikel Jurnal
Evaluation of Multi-Class Classification Performance Lung Cancer Through K-NN and SVM Approach
Lung cancer is one of the deadliest diseases in the world with a mortality rate of 25% of all cancer-related deaths in 2021. Lung cancer is a lung disease caused by genetic changes in respiratory epithelial cells, resulting in uncontrolled cell proliferation. In an effort to improve diagnosis and…
-
Artikel Jurnal
Evaluation of Deep Learning Model for Detection of Banana Consumption Feasibility Using Yolov8 Method
This study aims to improve the accuracy of banana edibility detection using the YOLOv8 deep learning model. A total of 346 banana images were captured using a smartphone camera and split into training (303), validation (29), and testing (14) subsets. The research framework consisted of four main…
-
Artikel Jurnal
A Hybrid Movie Recommendation System to Address Data Sparsity Using Genre-Based K-Means and Neural Collaborative Filtering
Recommendation systems play a crucial role in helping users navigate the overwhelming volume of information on digital platforms. However, conventional Collaborative Filtering (CF) methods often suffer from data sparsity, leading to reduced prediction accuracy and limited recommendation diversity…
-
Artikel Jurnal
K-Means and K-Medoid in Clustering Analysis of Network Congestion Level
This research investigates the application of clustering techniques to network congestion data at Universitas Muslim Indonesia, employing a hybrid metric approach based on packet loss and delay. The study utilized two algorithms, K-Means and K-Medoid, applied in a semi-supervised scenario to group…
-
Artikel Jurnal
Prediction of Rice Production in Jember Regency Using Adaptive Neuro Fuzzy Inference System (ANFIS)
Jember Regency is the fourth largest rice-producing regency/city in East Java, so Jember Regency dramatically contributes to increasing the agricultural sector in East Java Province. However, the level of rice production can fluctuate, which is influenced by other factors such as rainfall. A…
-
Artikel Jurnal
Urban Traffic Volume Prediction using LSTM and Bi-LSTM: Performance Evaluation on the Metro Interstate Dataset
Urban traffic forecasting underpins the mitigation of congestion, enhancement of road safety, and reduction of emissions in intelligent transportation systems. We benchmark Long Short-Term Memory (LSTM) and Bidirectional LSTM (Bi-LSTM) models on the Metro Interstate Traffic Volume dataset under an…
-
Artikel Jurnal
Detection of Curcuma and Turmeric Differences Utilizing Fuzzy Tsukamoto Android-Based CCN Model
Turmeric and curcuma are herbs that are often used in medicine and cooking. However, their similar shapes and colours make it difficult for people, especially in Southwest Papua, to distinguish between them directly. According to the Central Statistics Agency (BPS) in 2023, turmeric production…
-
Artikel Jurnal
ESP32-Based Sumo Robot Control System Using PlayStation 4 Controller with Semi-Autonomous Ultrasonic Features
This study presents the design and implementation of a sumo robot control system integrating an ESP32 Devkit V1 microcontroller with a wireless PlayStation 4 controller and semi-autonomous features based on the HC-SR04 ultrasonic sensor and MG-995 servo motor. The system addresses challenges in…
-
Artikel Jurnal
Smart Verification of High School Student Reports Using Optical Character Recognition and BERT Models
This study proposes an intelligent framework for verifying high school report cards with diverse layouts by integrating Optical Character Recognition (OCR) and a fine-tuned BERT model. While previous works primarily address document formats with uniform structures, this research specifically…
-
Artikel Jurnal
Optimizing K-Means Using Greylag Goose Optimization Algorithm for Household Energy Consumption Pattern Segmentation
Electricity is a crucial resource in everyday life, and rising household energy demand requires smarter monitoring and management approaches. Analyzing consumption data enables the discovery of typical energy usage behaviors that support efficient resource planning. Clustering techniques are widely…
-
Artikel Jurnal
Explainable Boosting Machine for Transparent Risk Assessment in BAZNAS Microfinance Desa
Microfinance institutions face substantial challenges in managing financing risk, particularly in assessing the creditworthiness of mustahik when available data are limited. BAZNAS Microfinance Desa (BMD) requires a predictive risk system that is both accurate and transparent to ensure program…
-
Artikel Jurnal
A Deep Learning Approach for Tourism Destination Recommendation Using IndoBERT and TF-IDF
The rapid development of information technology has transformed various sectors, including tourism, where recommendation systems play a vital role in providing personalized services. Tourists are often faced with a wide range of destination choices, making decision-making increasingly complex. To…