Muhammad Syafrudin

Muhammad Syafrudin
Sejong University | sejong · Department of Artificial Intelligence

Doctor of Engineering

About

35
Publications
35,202
Reads
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923
Citations
Introduction
His research interests include Industrial Artificial Intelligence (IAI), Information Systems, IoT, Big Data, Health Informatics, etc.
Additional affiliations
March 2019 - February 2022
Dongguk University
Position
  • Professor (Assistant)

Publications

Publications (35)
Article
Full-text available
Currently, the manufacturing industry is experiencing a data-driven revolution. There are multiple processes in the manufacturing industry and will eventually generate a large amount of data. Collecting, analyzing and storing a large amount of data are one of key elements of the smart manufacturing industry. To ensure that all processes within the...
Article
Full-text available
With the increase in the amount of data captured during the manufacturing process, monitoring systems are becoming important factors in decision making for management. Current technologies such as Internet of Things (IoT)-based sensors can be considered a solution to provide efficient monitoring of the manufacturing process. In this study, a real-t...
Article
Full-text available
Maintaining product quality is essential for smart factories, hence detecting abnormal events in assembly line is important for timely decision-making. This study proposes an affordable fast early warning system based on edge computing to detect abnormal events during assembly line. The proposed model obtains environmental data from various sensors...
Article
Full-text available
Early diseases prediction plays an important role for improving healthcare quality and can help individuals avoid dangerous health situations before it is too late. This paper proposes a disease prediction model (DPM) to provide an early prediction for type 2 diabetes and hypertension based on individual’s risk factors data. The proposed DPM consis...
Article
Full-text available
Detecting self-care problems is one of important and challenging issues for occupational therapists, since it requires a complex and time-consuming process. Machine learning algorithms have been recently applied to overcome this issue. In this study, we propose a self-care prediction model called GA-XGBoost, which combines genetic algorithms (GAs)...
Article
Full-text available
Water is a vital resource to every living thing on the earth. Once the water is contaminated (physically, chemically, biologically, or radiologically), it brought negative impacts to the living thing. This paper provides a brief review of the characterization of biological pollutants in drinking water and their effects on human health. Some biologi...
Article
Full-text available
The Fourth Industrial Revolution (4IR) offers optimum productivity and efficiency via automation, expert systems, and artificial intelligence. The Fourth Industrial Revolution deploys smart sensors, Cyber-Physical Systems (CPS), Internet of Things (IoT), Internet of Services (IoS), big data and analytics, Augmented Reality (AR), autonomous robots,...
Article
Full-text available
An essay was used as an assessment to illustrate a certain way of thinking and attitude of a student. The essay demonstrates the student's utmost degree as an author with a cognitive and affective style. The study aimed to provide a simple description of the essay as an assessment and critical function in the Groundwater Contamination course of the...
Research
Full-text available
Currently, we are in the process of editing a forthcoming publication entitled Metaverse Applications for New Business Models and Disruptive Innovation, to be published by IGI Global, an international publisher of progressive academic research. We would like to take this opportunity to cordially invite you to submit your work for consideration in t...
Article
The Baram River is one of the largest rivers in Sarawak, where many large industries, such as plywood, sawmills, shipyards, interisland ports, and other wood-based industries are located along the river. Microplastic contamination has become a widespread and growing concern worldwide because of the small sizes of microplastics and their presence in...
Article
Full-text available
The ubiquitous problem of pesticide in aquatic environment are receiving worldwide concern as pesticide tends to accumulate in the body of the aquatic organism and sediment soil, posing health risks to the human. Many pesticide formulations had introduced due to the rapid growth in the global pesticide market result from the wide use of pesticides...
Conference Paper
Self-care classification for children with physical disability remains an important and challenging issue. It needs the support from occupational therapists to make decision. Data-driven decision making have been widely adopted to make decision based on the data with help of expert systems and machine learning algorithms. In this study, we develope...
Conference Paper
Diabetes is the number one of major causes of death globally. Undetected and untreated diabetes causes serious issues and the individuals with diabetes are at high risk for complication. Thus, an early diabetes prediction is necessary to help the individuals preventing dangerous conditions at the early stage. This study proposed a prediction model...
Article
Predicting future blood glucose (BG) levels for diabetic patients will help them avoid potentially critical health issues. We demonstrate the use of machine learning models to predict future blood glucose levels given a history of blood glucose values as the single input parameter. We propose an Artificial Neural Network (ANN) model with time-domai...
Conference Paper
Full-text available
Nowadays, customer's health awareness is of extreme significance. Food can become contaminated at any point during production, preparation and distribution. Therefore, it is of key importance for the perishable food supply chain to monitor the food quality and safety. Traceability system offers complete food information and therefore, it guarantees...
Article
Full-text available
Extracting information from individual risk factors provides an effective way to identify diabetes risk and associated complications, such as retinopathy, at an early stage. Deep learning and machine learning algorithms are being utilized to extract information from individual risk factors to improve early-stage diagnosis. This study proposes a dee...
Article
Full-text available
Heart disease, one of the major causes of mortality worldwide, can be mitigated by early heart disease diagnosis. A clinical decision support system (CDSS) can be used to diagnose the subjects’ heart disease status earlier. This study proposes an effective heart disease prediction model (HDPM) for a CDSS which consists of Density-Based Spatial Clus...
Article
Full-text available
Understanding customer shopping behavior in retail store is important to improve the customers' relationship with the retailer, which can help to lift the revenue of the business. However, compared to online store, the customer browsing activities in the retail store is difficult to be analysed. Therefore, in this study the customer shopping behavi...
Article
Full-text available
Predicting future blood glucose (BG) level for diabetic patients will help them to avoid critical conditions in the future. This study proposed Extreme Gradient Boosting (XGBoost), an ensemble learning model to predict the future blood glucose value of diabetic patients. The clinical dataset of Type 1 Diabetes (T1D) patients was utilized and the pr...
Article
Radio Frequency Identification (RFID) technology has significantly improved in the past few years and is presently sought for implementation in the identification and traceability of perishable food in the food sector to safeguard food safety and quality. It is currently considered a worthy successor to the barcode system and has significant advant...
Article
Full-text available
The potential of Parkia speciosa peel (SBP) for removal of procion red mx-5B (PR) through the adsorption process was investigated. PR is a type of azo dye which is toxic to the environment especially in water. Sustainable adsorbents such as agricultural wastes have been promising to reduce the amount of pollution in wastewater due to their accessib...
Conference Paper
Radio frequency identification (RFID) technology can be utilized to monitor tagged product movements and directions for the purpose of inventory management. It is important for RFID gate to identify the several RFID readings such as movement type and direction as well as the static tags (tags that accidentally read by the reader). In this study, ra...
Article
Full-text available
Radio frequency identification (RFID) is an automated identification technology that can be utilized to monitor product movements within a supply chain in real-time. However, one problem that occurs during RFID data capturing is false positives (i.e., tags that are accidentally detected by the reader but not of interest to the business process). Th...
Article
Purpose The purpose of this paper is to propose customer behavior analysis based on real-time data processing and association rule for digital signage-based online store (DSOS). The real-time data processing based on big data technology (such as NoSQL MongoDB and Apache Kafka) is utilized to handle the vast amount of customer behavior data. Design...
Conference Paper
Current technology such as Bluetooth Low Energy (BLE) provides an efficient way for Real-Time Location System (RTLS). This study proposes a BLE-based Real-Time Location System that utilizes Smartphone and NoSQL database as gateway and data storage respectively. Firstly, we develop a smartphone-based tracking app to gather the location of employees....
Article
Full-text available
As the risk of diseases diabetes and hypertension increases, machine learning algorithms are being utilized to improve early stage diagnosis. This study proposes a Hybrid Prediction Model (HPM), which can provide early prediction of type 2 diabetes (T2D) and hypertension based on input risk-factors from individuals. The proposed HPM consists of Den...
Article
Full-text available
Current technology provides an efficient way of monitoring the personal health of individuals. Bluetooth Low Energy (BLE)-based sensors can be considered as a solution for monitoring personal vital signs data. In this study, we propose a personalized healthcare monitoring system by utilizing a BLE-based sensor device, real-time data processing, and...
Conference Paper
Now days, customer’s health awareness is of extreme significance. Food can become contaminated at any point during production, distribution and preparation. Therefore, it is of key importance for the perishable food supply chain to monitor the food quality and safety. Traceability system offers complete food information and therefore, it guarantees...
Conference Paper
To make manufacturers more competitive, there is a need to integrate advanced computing and cyber-physical systems to take advantage of the current technologies. With the advent of smart sensors such as IoT technologies (1), collecting data has become a simple task, but the question remains if these devices or data provide the right information for...
Conference Paper
Full-text available
Smart factory is quickly becoming the new reality in the market, and every innovative manufacturer must embrace it to stay competitive. To achieve manufacturing innovation in smart factory, manufacturers will have to invest in improving and or utilizing Internet of Things (IoT) to enable real-time data on their processes and their condition – for e...
Article
Full-text available
Since customer attention is increasing due to growing customer health awareness, it is important for the perishable food supply chain to monitor food quality and safety. This study proposes a real-time monitoring system that utilizes smartphone-based sensors and a big data platform. Firstly, we develop a smartphone-based sensor to gather temperatur...
Article
Full-text available
A carsharing service can be seen as a transport alternative between private and public transport that enables a group of people to share vehicles based at certain stations. The advanced carsharing service, one-way carsharing, enables customers to return the car to another station. However, one-way implementation generates an imbalanced distribution...
Conference Paper
Full-text available
In the future, one of the key essential functionality of smart factory is reconfigurable manufacturing. Collecting, analyzing, and monitoring large amounts of sensor data are becoming a key enable technology to implement reconfigurable manufacturing. These day, the manufacturing industry is in the midst of a data-driven revolutionary, which means s...
Conference Paper
This paper proposes an eye state detection system using Haar Cascade Classifier and Circular Hough Transform. Our proposed system first detects the face and then the eyes using Haar Cascade Classifiers, which differentiate between opened and closed eyes. Circular Hough Transform (CHT) is used to detect the circular shape of the eye and make sure th...
Conference Paper
Full-text available
The reconfigurable manufacturing is an essential functionality of smart factories in the future. In order to implement such reconfigurable manufacturing; collecting, analyzing, and monitoring large amounts of sensor data are becoming a key enable technology. And nowadays, the manufacturing industry is in the midst of a data-driven revolution, which...

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Projects

Projects (9)
Project
My colleagues and I are guest editing a special issue related to the application of #machinelearning and #IoT in industry, which will be published continuously by Computers (Scopus SJR Q2). You are welcome to submit your work for this issue. The deadline is September 1, 2023, next year. If you have any questions or need an APC discount, feel free to contact me. Thank you. Page for the special issue: https://www.mdpi.com/journal/computers/special_issues/ML_IoT_2023 Dr. Muhammad Syafrudin Dr. Ganjar Alfian Dr. Norma Latif Fitriyani Guest Editors
Project
My colleagues and I are guest editing a special issue “Applied Artificial Intelligence for Sustainability”, which will be published continuously by Sustainability (SSCI SCIE JCR Q2, Scopus SJR Q1). You are welcome to submit your work for this issue. The deadline is May 31, 2023, next year. If you have any questions or need an APC discount, feel free to contact me. Thank you. Page for the special issue: https://www.mdpi.com/journal/sustainability/special_issues/Applied_AI Dr. Muhammad Syafrudin Dr. Ganjar Alfian Dr. Norma Latif Fitriyani Dr. Muhammad Anshari Guest Editors
Project
Dear Colleagues, Data Intelligence and Informatics Practice is an international, scientific, peer-reviewed, open access journal on application-oriented research related to data intelligence, data science, industrial artificial intelligence, applied machine learning, informatics, etc. published biannual online by Tecno Scientifica. We would like to invite you for the submission of your valuable research articles, short communications, and review papers to Data Intelligence and Informatics Practice. The aim of Data Intelligence and Informatics Practice journal is to provide a platform for research, academic and industry communities to disseminate, exchange and communicate their use cases, best practices and application-oriented research papers related to data intelligence, data science, industrial artificial intelligence, applied machine learning, informatics, etc. Please check aims & scope for details topics covered in this journal. https://tecnoscientifica.com/journal/diip/aims-and-scope