Admin Website UNIKOM

Tag: digital university

  • Air Quality Monitoring System for Cyclist

    Air Quality Monitoring System for Cyclist

    Authors: Aria M. ; Wangsanegara T. ; Kurniawan F. ; Maulana T.

    DOI: 10.1063/5.0129192

    Abstract: 

    In recent years, emissions of toxic gasses caused by burning fossil fuels, industrial production, and vegetation loss have made air pollution even worse. The concentration of harmful gasses and particulates increased in the atmosphere. Air quality influences human health, especially the particulate matter that affects the respiratory system of people. To find out the level of air pollution for bicycle users, we need an instrument to detect pollution levels in the air that functions as a monitor of pollution levels and early detection in air pollution, so it becomes a reference for bicycle users in knowing their area of cycling whether or not it has good air quality. The system development method in this study used the prototype method because this method can be easily evaluated and implemented in stages. The device’s hardware consists of three sensors: gas sensors MQ-7, MQ-135, and a DHT-11 Humidity sensor. The device has three sensors attached with an Arduino. The air quality measurement device generates real-time air pollutants monitor from the sensor and shows the information using the Liquid Crystal Display (LCD). In conclusion, it is affordable, user-friendly, low-cost, and minimum-power requirement hardware and comprehensible data collection. It is helpful for the bicycle user to be concerned about the health of air condition near the cyclist area. © 2023 Author(s).

    Author Keywords:

    air quality; cyclist; Monitoring system

    This article can be accessed at https://www.scopus.com/pages/publications/85177557112?

  • Elevating PCP Level Implementation: A Strategic Approach with Architecture Software in the COVID-19 Era

    Elevating PCP Level Implementation: A Strategic Approach with Architecture Software in the COVID-19 Era

    Authors: Yeffry Handoko ; Zuriani Ahmad Zukarnain ; Rahma Wahdiniwaty ; Noorihan Abdul Rahman

    DOI: 10.1109/INCITEST59455.2023.10397031

    Abstract:

    Between 2020 and 2021, Indonesia and Malaysia were both impacted by the COVID-19 pandemic. These two nations adopted a strikingly similar approach to restrict access to certain areas, primarily relying on identical criteria. In the case of Indonesia, the PPKM (Community Activity Restriction Enforcement) strategy was employed, this contained a component involving the exposure of COVID-19 affected persons. The determination of the extent of this exposure was primarily based on monitoring the rise in the number of individuals who had been in contact with COVID-19-positive individuals. However, during a pandemic, it’s imperative to consider not only those individuals who are confirmed to have COVID-19 but also those who exhibit symptoms similar to COVID-19 but have not been diagnosed. These individuals can also act as potential agents for the spread of the pandemic within their communities. This is referred to as the “Precaution COVID-19 Pandemic (PCP) Level.”It’s important to note that the PCP level does not have a universally agreed-upon definition at present. Instead, it is influenced more by the number of individuals displaying symptoms akin to those of COVID-19, rather than solely relying on the increase in confirmed COVID-19 cases. In essence, both countries shared a comparable approach to pandemic management during this period, but the emergence of the PCP level underscores the need for a broader perspective when assessing the pandemic’s impact on communities, considering not only confirmed cases but also symptomatic individuals who may contribute to its spread. The PCP Level determination can be used for preventative policy and to supplement the previous Pandemic Level Methods. Two methods are employed to realize this concept: the AHP approach for calculating the Covid-19 pandemic level and the K-Mean algorithm for pattern clustering. Data was gathered from 11 health centers in West Java province. The findings of this study underscore the potential of a multifaceted approach to pandemic precaution in the context of COVID-19. By synergistically integrating the three proposed algorithms and leveraging data on symptoms that are intricately linked to the predominant COVID-19 symptoms, this research illuminates a promising avenue for determining and implementing precautionary measures during the ongoing pandemic. This holistic strategy not only offers a more comprehensive understanding of the virus’s spread but also furnishes decision-makers with a versatile toolkit for tailoring precautionary actions to different circumstances, ultimately contributing to more effective and adaptive pandemic management. © 2023 IEEE.

    Author Keywords:

    clustering; Covid-19; decision support; Precaution

    This article can be accessed at https://www.scopus.com/pages/publications/85185194944?

  • Modeling COVID-19 Prevention from Influenza Symptoms Using Kalman Filter Approach

    Modeling COVID-19 Prevention from Influenza Symptoms Using Kalman Filter Approach

    Authors: Yeffry Handoko Putra ; Noorihan Abdul Rahman ; Zuriani Ahmad Zukarnain ; Rahma Wahdiniwaty

    DOI: 10.1109/ICSPIS59665.2023.10402787

    Abstract:

    Several countries have stopped community restriction program activities in dealing with COVID-19, including in Indonesia which has stopped a similar program at the end of 2022. Each country is starting a new era, namely the COVID-19 prevention program, but not all countries have accurate data regarding the type symptoms that could be indicators of prevention. This inaccuracy will be overcome using the behavior of the Kalman Filter while the presumption that influenza symptoms can be use to approach the COVID-19 symptoms. Various Kalman Filter models will be tried which represent the level of concern for prevention, which we call the COVID-19 Pandemic Precaution Level (PCP). The data for this study were obtained from a number of symptoms encountered that resemble the symptoms of COVID-19 after 2022. And provide the results of several Kalman Filter models for normal worries and extreme worries. © 2023 IEEE.

    Author Keywords:

    COVID-19 model; Influenza; Kalman Filter; prevention; symptoms

  • Prototype Mobile Contactless Transaction System in Traditional Markets to Support the Covid-19 Physical Distancing Program

    Prototype Mobile Contactless Transaction System in Traditional Markets to Support the Covid-19 Physical Distancing Program

    Author: Irawan Afrianto ; Mouhamad Hatta Hiroshi Sasmita ; Sufa Atin

    DOI: 10.11591/eei.v10i6.3205

    Abstract

    One way to prevent and reduce the spread of the covid-19 pandemic is through physical distancing program. This research aims to develop a prototype contactless transaction system using digital payment mechanisms and QR code technology that will be applied in traditional markets. The method used in the development of electronic market systems is a prototype approach. The application of QR code and digital payments are used as a solution to minimize money exchange contacts that are common in traditional markets. The results showed that the system built was able to accelerate and facilitate the buying and selling transaction process in traditional market environment. Alpha testing shows that all functional systems are running well. Meanwhile, beta testing shows that the user can very well accept the system that was built. The results of the study also show acceptance of the usefulness of the system being built, as well as the optimism of its users to be able to take advantage of this system both technologically and functionally, so its can be a part of the digital transformation of the traditional market to the electronic market and has become one of the solutions in reducing the spread of the current covid-19 pandemic. © 2021, Institute of Advanced Engineering and Science. All rights reserved.

    Author keywords

    Contactless transaction; Covid-19; Digital payment; Prototype; QR code; Traditional market


    This article can be accessed at: https://www.scopus.com/pages/publications/85120610181

  • Driving Safety Application Using Wearable Device and Mobile Technology

    Driving Safety Application Using Wearable Device and Mobile Technology

    Author: Eko Budi Setiawan ; Tubagus F. Fatoni

    Abstract

    This research is conducted to help motorbike riders in avoiding accidents caused by drowsiness. The wearable device technology used was smartband and accelerometer from Android smartphone. It was used to obtain heart rate data and detect drowsiness experienced by motorbike riders. An accelerometer was used to detect if an accident occurs and send the information to the driver’s family. The method in this research was quantitative research and development. The results obtained showed that detecting drowsiness is equal to 80% and the accident detection test gets an accuracy of 100%. The accuracy of drowsiness detection during the day is 75% and testing that carried out at night has an accuracy rate of 90%. Functional suitability test results obtained a value of 100%, compatibility aspects have 100%, usability aspects of 84.7%, and performance aspects in terms of response time are in the range of satisfaction equal to 3.88 seconds. The tests conducted using Likert scale showed that the application is feasible to use, and the driving safety application has reached its desired purpose. This research impacts on driving safety that must prioritize safety both for self and for others. © School of Engineering, Taylor’s University.

    Author keywords

    Accelerometer; Drowsiness; Motorbike driver; Safety ride; Smartband


    This article can be accessed at: https://www.scopus.com/pages/publications/85114312008

  • 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

  • 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