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  • Covid 19 Early Warning Detection System

    Covid 19 Early Warning Detection System

    Author: Sutonoa ; Selvia Lorena Br. Ginting ; Senny Luckyardi

    DOI: 10.36909/jer.ASSEEE.16103

    Abstract

    A mosque is a place of worship activities that is very crowded with people, especially if the mosque is located on the side of the road. Automatically, the mosque users are local people and outsiders who happen to cross the mosque. In the Covid-19 pandemic, anticipating the impact of its spread must be watched out, especially since this mosque is often visited by worshipers from outside (not the surrounding community). Inside the mosque, this aims to limit the number of worshipers in the mosque; the ultrasonic sensor functions to find out the people who are wrongly occupying the shaft or place of prayer with an indicator in the form of a buzzer. Thus this research aims to provide a solution to a sense of security and comfort to the local community and outsiders who will use the mosque to worship. In the mosque, a covid-19 early warning system has been implanted using three sensors, namely an infrared sensor, ultrasonic sensor, and infrared body temperature sensor. Based on reports in March 2021, there was a decrease in confirmed symptoms of Covid 19, which originally amounted to 82 people confirmed as Covid 19. After implementing the system, two reports were found to have died, 78 people said to be cured, and two people are still undergoing quarantine at their respective homes. Then enter the month of Ramadan in 2021, some reports confirm that Covid 19 is nil. It is a positive response that has a good impact on worshipers, especially those who use mosques as a means of worship. This data can be accessed through an application called “PeduliL Protects,” which can be downloaded via the Android application in the play store under the zoning “Babakan Tarogong Village.” © 2021 University of Kuwait. All rights reserved.


    This article can be accessed at: https://www.scopus.com/pages/publications/85123713901

  • Personality Prediction System Based on Signatures Using Machine Learning

    Personality Prediction System Based on Signatures Using Machine Learning

    Author: Maliki I. ; Sidik M.A.

    DOI: 10.1088/1757-899X/879/1/012068

    Abstract

    Many methods are used to assess a person’s character and personality. Some are through the face, body movements, body language, handwriting and signatures. Assessing a person’s character and personality by looking at the type of handwriting and signature can be learned with the science of graphology. Detecting a person’s personality system based on a signature pattern automatically is still difficult. This study aims to build a system of predicting personality based on signature patterns using machine learning. A person’s personality based on a signature has many features. In this study the analysed features consist of four features, namely curve start, end streak, middle stroke, and underline. The steps taken in developing a prediction system are model training and model testing. The method used to extract features is Principle Component Analysis (PCA) and the method for classifying is Support Vector Machine (SVM). Based on the test results using confusion matrix produces an accuracy value of 71%. It can be concluded that machine learning can be implemented to predict personality based on signatures with good accuracy. © Published under licence by IOP Publishing Ltd.

    This article can be accessed: https://www.scopus.com/pages/publications/85091393725

  • Human Detection and Avoidance Control Systems of an Autonomous Vehicle

    Human Detection and Avoidance Control Systems of an Autonomous Vehicle

    Author: Nizar T.N. ; Hartono R. ; Meidina D.

    DOI: 10.1088/1757-899X/879/1/012103

    Abstract

    A long-range and short-range navigation systems of an autonomous vehicle are the most important thing to develop because it is very complex and related to safety in the driving of an automatic vehicle. The purpose of this research is to develop a short-range navigation system for autonomous vehicles focused to detect and avoid humans which implemented on an autonomous vehicle prototype. Image Processing and deep learning algorithm used for human detection and ultrasonic sensor used for distance calculation. Decision making for human avoidance system using the Fuzzy algorithm based on the position of detected human and human distance. The implemented system has a success rate of 85.71% to avoid human which ideal distance more than 2 meters. The implemented prototype of an autonomous vehicle can be implemented in the real vehicle with some adjustments in the sensor and hardware system, however, the systems are expected to reduce traffic accidents caused by human error. © Published under licence by IOP Publishing Ltd.


    This article can be accessed at: https://www.scopus.com/pages/publications/85091368100

  • Analysis of Expert System Lung Disease Diagnosis System of Web-Based Disease in Cihaur Puskesmas

    Analysis of Expert System Lung Disease Diagnosis System of Web-Based Disease in Cihaur Puskesmas

    Author: Sitanggang A.S. ; Damarullah A.D. ; Wartika

    DOI: 10.1088/1757-899X/879/1/012065

    Abstract

    One of the causes of death in humans is lung disease, namely cancer. Data from the Indonesian Cancer Information & Support Center (CISC) shows lung cancer is the number one cancer killer with a total of 14 percent of cancer deaths. The death rate due to lung cancer in Indonesia even reaches 88%. That must be considered to be one of human efforts in maintaining health in the lungs. Handling that can be done is to check early to be able to avoid or treat the lung disease. The existence of an expert system provides a solution to overcome this. Expert system is a computer system that stores knowledge, facts, reasoning and experience from an expert that is used to solve problems in a particular field, especially for lung disease. The purpose of this research is to design an expert system of web-based lung disease diagnosis that can help the public to carry out consultations about lung disease anywhere without having to come directly to the hospital or puskesmas/clinic. The method used is descriptive method and action. In designing the expert system, the method used is the method of object-oriented approach and prototype development method. With this expert system, it will be easier for the public to obtain information about lung disease, help the public and doctors to diagnose lung disease, and help doctors supervise the treatment of patients and the public. © Published under licence by IOP Publishing Ltd.


    This article can be accessed at: https://www.scopus.com/pages/publications/85091362980

  • Peristaltic Micro-Pump With Normally Deflecting Membrane Fabricated Using Glass Based Master Mold

    Peristaltic Micro-Pump With Normally Deflecting Membrane Fabricated Using Glass Based Master Mold

    Author: Ayub Subandi ; Jumril Yunas ; Azrul Azlan Hamzah ; Muhamad Ramdzan Buyong

    Abstract

    In this project, a Peristaltic fluid micro pump having normally deflecting membrane on a glass based master mold is developed. The developed peristaltic micro-pumps consists of three or more pump membranes connected sequentially. This structure is primarily aimed for enabling high pumping stroke of fluid hence increasing the flow rate. Besides the main purpose, this method can simplify the fabrication reducing the steps of the membrane transfer from master mold to membrane spacer. In this study, the flexible membrane that forms a curved dome-shaped is fabricated implementing a glass rod as the master mold with diameter and height of 4 mm and 2 mm, respectively. The membrane layer was made by pouring in PDMS at the top of mold master. This technique enables to produce a membrane in a normally deflecting form even though there is no interference with the membrane. Apart from that, the membrane can be adjusted to obtain expected flow rate and certainly the size of the membrane diameter. The structures have been successfully fabricated using soft-lithography technique. The functionality test of the fabricated pump system shows that the fluid was able to flow from the inlet to the outlet on the other side of the pump membrane without leaking. The result of this research is expected to be applied as fluid injection system in biomedical instrumentation that need high fluid rate. © 2020, Universiti Malaysia Perlis. All rights reserved.

    Author keywords

    Flow Rate; Master Mold; Membrane; Peristaltic; SU-8 Photoresists


    This article can be accessed at: https://www.scopus.com/pages/publications/85103651760

  • Urban Air Pollution Monitoring System for Mapping Areas Based on Pollutant Level

    Urban Air Pollution Monitoring System for Mapping Areas Based on Pollutant Level

    Author: Agus M ; Iqbal S.S.

    DOI: 10.1088/1757-899X/662/4/042010

    Abstract

    This paper presents an explanation of the design of Carepol, an air pollution monitoring system in urban areas, using ISPU standard calculations (air pollution standards index of Indonesia) based on the internet] of thing’s (IoT). ISPU is a standard of air quality determination recognized by the government of the Republic of Indonesia through the Ministry of Environment. This IoT-based air pollution monitoring system is focused on measuring carbon monoxide (CO) levels as the highest pollutants in the world today, and analyzing and estimating the value of these pollutants in real-time and continuously. By using Carepol, society can actively engage in the control of urban air quality, and contribute to improving the environment and public health. For the government, Carepol can serve as a reference platform for proper policy-making in environmental issues, especially air pollution, and as well as the realization of Smart City for better life. © 2019 IOP Publishing Ltd. All rights reserved.

    Indexed keywords

    Engineering controlled terms

    Carbon monoxide; Internet of things; Monitoring; Pollution detection; Public health; Regional planning; Urban planning

    Engineering uncontrolled terms

    Air pollution monitoring; Environmental issues; Improving the environments; Ministry of environments; Pollution standards; Quality determination; Urban air pollution; Urban air quality

    Engineering main heading

    Air quality
    This article can be accessed at: https://www.scopus.com/pages/publications/85075873603

  • Designing Portable-Repetitive Upper Extremity Arm Trainer for Post-Stroke Patients using Nigel Cross’s Rational Method

    Designing Portable-Repetitive Upper Extremity Arm Trainer for Post-Stroke Patients using Nigel Cross’s Rational Method

    Author: Mariawati A.S. ; Wahyuni N. ; Fawaid M. ; Umyati A. ; Riesha M.W. ; Iridistadi H. ; Henny

    DOI: 10.13189/ujme.2019.070403

    Abstract

    The common problems faced by post-stroke patients are the lack of facility and time for exercise in rehabilitation. This research aims to design upper extremity exercise portable equipment. The basic theory of this product’s design is the Active Range of Motion. The design of upper extremity exercise portable equipment (P-RAT) uses Nigel Cross’s Rational Method. As the result of the design, we obtained the best alternative solution for upper extremity exercise portable equipment with 43 cm of length, 8.5 cm of width and 11 cm of height equipped with rail extensions for 10 cm, 20 cm, and 30 cm extra length, as well as the capability of elevation setting of the rails at 0 °, 10 °, 20 °, and 30 °. © 2019 by authors.

    Author keywords

    Range of Motion; Rehabilitation; Upper Extremity Arm Trainer


    This article can be accessed at: https://www.scopus.com/pages/publications/85069692718

  • Forecasting the Amount of the Lung Diseases by the Method of ARIMA-ARCH

    Forecasting the Amount of the Lung Diseases by the Method of ARIMA-ARCH

    Author: Mbau B.K

    DOI: 10.1088/1757-899X/407/1/012155

    Abstract

    This paper aimed at forecasting the number of cases of Tuberculosis in XYZ hospital. The lungs are one of the vital organs in the human body. This research method using ARIMA-ARCH model. Test results into the influential heteroskedastisitas forecasting the number of cases of tuberculosis, where when the model initially has no effect ARCH but still continued into the ARIMAARCH value produces a MAPE of better evidenced by the model of ARIMA (0, 1, 3) the ARCH (1) have a better accuracy level, where has a value of MAPE 2.09 % whereas the model ARIMA (0, 1, 3) has a value of MAPE 2.31%. © Published under licence by IOP Publishing Ltd.

    Indexed keywords

    Engineering controlled terms

    Forecasting

    Engineering uncontrolled terms

    Accuracy level; ARCH models; Human bodies; research methods

    Engineering main heading

    Arches
    This article can be accessed at: https://www.scopus.com/pages/publications/85054832731

  • The Analysis of Fixed Final State Optimal Control in Bilinear System Applied to Bone Marrow by Cell-Cycle Specif

    The Analysis of Fixed Final State Optimal Control in Bilinear System Applied to Bone Marrow by Cell-Cycle Specif

    Author: Rainarli E. ; Dewi K.E.

    DOI: 10.1088/1742-6596/824/1/012029

    Abstract

    The research conducted by Fister & Panetta shown an optimal control model of bone marrow cells against Cell Cycle Specific chemotherapy drugs. The model used was a bilinear system model. Fister & Panetta research has proved existence, uniqueness, and characteristics of optimal control (the chemotherapy effect). However, by using this model, the amount of bone marrow at the final time could achieve less than 50 percent from the amount of bone marrow before given treatment. This could harm patients because the lack of bone marrow cells made the number of leukocytes declining and patients will experience leukemia. This research would examine the optimal control of a bilinear system that applied to fixed final state. It will be used to determine the length of optimal time in administering chemotherapy and kept bone marrow cells on the allowed level at the same time. Before simulation conducted, this paper shows that the system could be controlled by using a theory of Lie Algebra. Afterward, it shows the characteristics of optimal control. Based on the simulation, it indicates that strong chemotherapy drug given in a short time frame is the most optimal condition to keep bone marrow cells spine on the allowed level but still could put playing an effective treatment. It gives preference of the weight of treatment for keeping bone marrow cells. The result of chemotherapy’s effect (u) is not able to reach the maximum value. On the other words, it needs to make adjustments of medicine’s dosage to satisfy the final treatment condition e.g. the number of bone marrow cells should be at the allowed level. © Published under licence by IOP Publishing Ltd.

    Indexed keywords

    Engineering controlled terms

    Algebra; Bone; Chemotherapy; Cytology

    Engineering uncontrolled terms

    Bone marrow cells; Cell cycle specific chemotherapy; Fixed final state; Fixed-final-state optimal control; Optimal conditions; Optimal control model; Short time frames; Treatment conditions

    Engineering main heading

    Cells
    This article can be accessed at: https://www.scopus.com/pages/publications/85018435297

  • Development of Smart Environment Systems Model for the Optimization of Agriculture Products

    Development of Smart Environment Systems Model for the Optimization of Agriculture Products

    Authors: Finandhita A. ; Maulana H.

    DOI: 10.1088/1757-899X/662/4/042023

    Abstract

    The purpose of this study is to developing smart environment systems model for optimization in agriculture is to monitor soil, water, pollution levels, and weather conditions in farming. The monitoring process is carried out to increase the level of agricultural productivity. The model can be used to assist farmers in the decision-making process to cultivate the land and determine the types of commodities to be planted. The method used to develop the model is a descriptive qualitative. The result of the research is a model. Poor pollution levels and relatively erratic weather can worsen the productivity of agricultural land. These conditions make it difficult for farmers to determine the right seeds and fertilizers to use, as well as the right time to start the planting period. Thus the model is expected to support farmers in increasing the quantity and quality of their agricultural products. The model is developed as a part of the implementation of the smart city and internet of things (IoT) concepts which specialize in creating smart environments in agriculture. © 2019 IOP Publishing Ltd. All rights reserved.

    Indexed keywords

    Engineering controlled terms

    Decision making; Internet of things; Productivity; Regional planning; Water pollution

    Engineering uncontrolled terms

    Agricultural land; Agricultural productivity; Agriculture products; Decision making process; Internet of Things (IOT); Monitoring process; Planting period; Smart environment

    Engineering main heading

    Seed
    This article can be accessed at: https://www.scopus.com/pages/publications/85075858239