Fatchul Arifin
YOU?
Author Swipe
View article: Design of a Non-Invasive Blood Sugar Level Measuring Instrument Using Arduino Nano and MAX30100 Sensor Module
Design of a Non-Invasive Blood Sugar Level Measuring Instrument Using Arduino Nano and MAX30100 Sensor Module Open
Many electronic technologies are still used in the healthcare field that require a sample of the patient's body to determine the blood sugar level in the patient. Both invasive and non-invasive methods. Invasive methods take blood samples …
View article: Multi-user Interaction in Collaborative Virtual Multi-class for Metaverse
Multi-user Interaction in Collaborative Virtual Multi-class for Metaverse Open
Multi-user Virtual Reality (VR) technology that supports multi-class has effectively addressed challenges in traditional face-to-face learning, including constraints related to location, time, and pandemics. This innovation is anticipated …
View article: Optimization of 3D rendering algorithms for carbon reduction in virtual reality technology
Optimization of 3D rendering algorithms for carbon reduction in virtual reality technology Open
Virtual reality (VR) systems are widely used across various domains, yet their high computational demands significantly contribute to energy consumption and carbon emissions. Optimizing rendering algorithms is essential to address these en…
View article: Harmonic Detection of Electric Current using Machine Learning: A Literature Review
Harmonic Detection of Electric Current using Machine Learning: A Literature Review Open
The increased use of nonlinear devices makes distortions in the form of current and voltage waves unavoidable in power grids. As a result, harmonics, sub-harmonics and inter-harmonics often occur in the current and voltage spectrum. Harmon…
View article: Smartwatch Selection Recommendation System Using the K-Nearest Neighbor (KNN) Algorithm with Dynamic Dataset Optimization
Smartwatch Selection Recommendation System Using the K-Nearest Neighbor (KNN) Algorithm with Dynamic Dataset Optimization Open
This research aimed to develop a smartwatch recommendation system using the K-Nearest Neighbor (KNN) algorithm with dynamic dataset optimization. By employing a dynamic dataset, the accuracy of KNN calculations was enhanced. The dataset, s…
View article: Application of Thresholding Method using Sentinel-1 for Shoreline Stability Analysis around Bangkalan Coast
Application of Thresholding Method using Sentinel-1 for Shoreline Stability Analysis around Bangkalan Coast Open
Shorelines change due to physical, natural, and artificial properties. Shoreline are dynamic and interesting to analysis, specially around Bangkalan coastal areas. Although the coastal characteristic is dominated by mud substrates, the dyn…
View article: Centralized Website Optimization at Modern Islamic Boarding School Baitussalam
Centralized Website Optimization at Modern Islamic Boarding School Baitussalam Open
Website today arises because of the increasingly high needs of the market and society in the field of technology. Pondok Pesantren Modern (PPM) Baitussalam has several education level units from kindergarten to high school level, including…
View article: Indonesian Gold Price Prediction: A Machine Learning Approach Using Random Forest Regressor
Indonesian Gold Price Prediction: A Machine Learning Approach Using Random Forest Regressor Open
This study applies the Random Forest Regressor algorithm to predict the price of Indonesian gold, using economic factors such as the Indonesia Composite Index (IHSG), silver prices (Perak), IDR/USD exchange rate, and crude oil prices (Miny…
View article: Analysis Of Backscatter To Extraction Of Shoreline Using Machine Learning Methods In The Bangkalan Regency
Analysis Of Backscatter To Extraction Of Shoreline Using Machine Learning Methods In The Bangkalan Regency Open
Coastal areas are often threatened by natural and anthropogenic factors, causing instability and shoreline changes in the affected areas. Shoreline changes can be monitored with remote sensing techniques such as Synthetic Aperture Radar (S…
View article: Essential Advances in Soil-Transmitted Helminth Detection Using Machine Learning and Deep Learning: A Systematic Review
Essential Advances in Soil-Transmitted Helminth Detection Using Machine Learning and Deep Learning: A Systematic Review Open
Soil-Transmitted Helminths (STH) infection remains a significant global health challenge, particularly in regions with inadequate sanitation. While precise early detection is crucial, conventional techniques like microscopy require substan…
View article: Utilizing virtual reality for real-time emotion recognition with artificial intelligence: a systematic literature review
Utilizing virtual reality for real-time emotion recognition with artificial intelligence: a systematic literature review Open
Efficiency and optimization in virtual reality (VR) technology is an urgent need, especially in the context of optimizing algorithms to recognize user emotions while using VR. Efficient VR technology can improve user experience and enable …
View article: Evaluation of YOLOv8 Algorithm for Vehicle License Plate Detection System in UNY Integrated Parking Lot
Evaluation of YOLOv8 Algorithm for Vehicle License Plate Detection System in UNY Integrated Parking Lot Open
The YOLOv8 algorithm for the license plate detection system of vehicles entering the integrated parking lot of Universitas Negeri Yogyakarta (UNY) needs to be evaluated because license plate detection is crucial in integrated parking manag…
View article: Performance Analysis of EMG Signal Classification Methods for Hand Gesture Recognition in Stroke Rehabilitation
Performance Analysis of EMG Signal Classification Methods for Hand Gesture Recognition in Stroke Rehabilitation Open
This study evaluates the performance of different classification methods in classifying healthy individuals and stroke patients. The hand gesture variations of the subjects were also analyzed based on electromyography (EMG) signals. Severa…
View article: Attitude UAV Stability Control Using Linear Quadratic Regulator-Neural Network (LQR-NN)
Attitude UAV Stability Control Using Linear Quadratic Regulator-Neural Network (LQR-NN) Open
The stability of an Unmanned Aerial Vehicle (UAV) attitude is crucial in aviation to mitigate the risk of accidents and ensure mission success. This study aims to optimize and adaptively control the flight attitude stability of a flying wi…
View article: Decision Support System for Major Selection in Higher Education for Multimedia Graduate Students using Fuzzy Mamdani Logic
Decision Support System for Major Selection in Higher Education for Multimedia Graduate Students using Fuzzy Mamdani Logic Open
Students at the vocational high school level are indeed prepared to be able to work directly, but it does not rule out the possibility that vocational high school students can continue higher education such as universities. But the problem…
View article: Machine Learning System Implementation of Education Podcast Recommendations on Spotify Applications Using Content-Based Filtering and TF-IDF
Machine Learning System Implementation of Education Podcast Recommendations on Spotify Applications Using Content-Based Filtering and TF-IDF Open
Spotify, this popular music and podcast streaming service, has a fundamental problem in assisting clients in finding podcasts that fit their interests. Thus, the goal of this project is to develop a podcast recommendation system that would…
View article: Design and Development of Industrial Practice Monitoring and Assessment Systems using Tsukamoto Fuzzy Logic
Design and Development of Industrial Practice Monitoring and Assessment Systems using Tsukamoto Fuzzy Logic Open
Vocational high schools are given flexibility for their students to carry out direct learning in the industry as part of the practical education activities of implementing student skills. The implementation of industrial practice requires …
View article: Implementation of FDSS (Fuzzy Decision Support System) Sugeno Model in Optimizing Bandwidth Requirement Management of Web-Based Networks
Implementation of FDSS (Fuzzy Decision Support System) Sugeno Model in Optimizing Bandwidth Requirement Management of Web-Based Networks Open
To increase the efficacy of bandwidth allocation at PT. Digdaya Monokrom Group, this study describes the development of a Fuzzy Decision Support System (FDSS) utilizing the Sugeno methodology. The Waterfall development process is employed …
View article: Determining Students' Nutritional Status Using Mamdani Fuzzy Logic Method
Determining Students' Nutritional Status Using Mamdani Fuzzy Logic Method Open
Nutritional status is a body condition as a result of food consumption or a measure of the success of nutritional fulfillment; there is a balance between the amount of nutrient intake and the amount required by the body for a variety of bi…
View article: Design and Performance Analysis of a Fast 4-Way Set Associative Cache Controller using Tree Pseudo Least Recently Used Algorithm
Design and Performance Analysis of a Fast 4-Way Set Associative Cache Controller using Tree Pseudo Least Recently Used Algorithm Open
In the realm of modern computing, cache memory serves as an essential intermediary, mitigating the speed disparity between rapid processors and slower main memory. Central to this study is the development of an innovative cache controller …
View article: Classification of Organic and Inorganic Waste Types Based on Neural Networks
Classification of Organic and Inorganic Waste Types Based on Neural Networks Open
Garbage is the residue of unused industrial production and household consumption. In Indonesia, waste is divided into 2 types, namely organic and inorganic waste. The two types of waste can be recycled in diverse ways, so they must be sepa…
View article: Development and Evaluation of a High-Performance Electrochemical Potentiostat-Based Desktop Application for Rapid SARS-CoV-2 Testing
Development and Evaluation of a High-Performance Electrochemical Potentiostat-Based Desktop Application for Rapid SARS-CoV-2 Testing Open
The COVID-19 pandemic has necessitated the development of rapid and trustworthy diagnostic tools. Reverse transcription-polymerase chain reaction (RT-PCR) is the gold standard for detecting SARS-CoV-2 but has cost and time constraints. The…
View article: Emotions and gesture recognition using affective computing assessment with deep learning
Emotions and gesture recognition using affective computing assessment with deep learning Open
Emotions have an important role in education. Affective development, attitudes, and emotions in learning are measured using affective assessment. This method is the right way to determine the student’s affective development. However, the p…
View article: Enhanced Emotion Recognition in Videos: A Convolutional Neural Network Strategy for Human Facial Expression Detection and Classification
Enhanced Emotion Recognition in Videos: A Convolutional Neural Network Strategy for Human Facial Expression Detection and Classification Open
The human face is essential in conveying emotions, as facial expressions serve as effective, natural, and universal indicators of emotional states. Automated emotion recognition has garnered increasing interest due to its potential applica…
View article: On the Audio-Visual Emotion Recognition using Convolutional Neural Networks and Extreme Learning Machine
On the Audio-Visual Emotion Recognition using Convolutional Neural Networks and Extreme Learning Machine Open
The advances in artificial intelligence and machine learning concerning emotion recognition have been enormous and in previously inconceivable ways. Inspired by the promising evolution in human-computer interaction, this paper is based on …
View article: Development of Javanese Speech Emotion Database (Java-SED)
Development of Javanese Speech Emotion Database (Java-SED) Open
Javanese is one of the most widely spoken regional languages in Indonesia, alongside other regional languages. Emotions can be recognized in a variety of ways, including facial expression, behavior, and speech. The recognition of emotions …