Android-based Mobile Application Research Articles

Edy App: Earthquake Mitigation Innovation Using GIS for Disaster Response in Pariaman, Indonesia

Pariaman City, located along the Semangko fault line and the subduction zone of the Indo-Australian and Eurasian plates, is highly vulnerable to earthquakes and tsunamis. The region's susceptibility to large earthquakes, followed by vertical deformations, highlights the need for effective disaster mitigation. In response, this study proposes the development of the Earthquake Buddy Application (EDY App), designed to assist with earthquake mitigation efforts. The EDY App leverages Geographic Information System (GIS) technology to map earthquake-prone areas, provide early warnings, suggest evacuation routes and Temporary Evacuation Sites (TES), and facilitate aid distribution. This Android-based mobile application focuses on four key aspects: education, mitigation, evacuation, and donation. Key features include an Earthquake Vulnerability Map, real-time early warnings, mitigation instructions, TES recommendations with distance and time estimations, emergency contact options, and donation channels. Built with React Native, PHP, and MySQL, and integrated with Google Maps API, the app is designed to be user-friendly and accessible to the public. The EDY App’s contribution to earthquake mitigation lies in its ability to create a disaster-aware community. By offering comprehensive information and support during critical moments, the app can potentially reduce casualties and enhance community preparedness in earthquake-prone regions like Pariaman. Through this innovation, it is expected that residents will be better equipped to respond to natural disasters, promoting a culture of safety and resilience.

Improving financial management efficiency at BAHANA Ciawi Clean Water Facility via an Android-based mobile application

KSM SAB BAHANA in Ciawi, Bogor is a Community Self-Help Group (KSM) for Clean Water Facilities (SAB) BAHANA located in Kampung Tipar RT 01, RW 04 Ciawi. KSM SAB BAHANA was formed based on Decree Number 36 on December 31, 2019. Currently, there are significant problems in managing clean water services, especially in terms of customer registration and management of financial reports which are still done manually. This condition causes inefficiency and has the potential to cause recording errors. To overcome these challenges, community service is carried out by introducing an Android-based application designed to improve the efficiency and accuracy of financial management. The purpose of this service is to provide a technological solution that facilitates customer registration and management of financial reports effectively. The methods used include data collection, application design, socialization, implementation, evaluation, and ongoing maintenance to ensure the successful implementation of the application. The evaluation results show that 86 percent of the community strongly agree with the use of this application, which confirms that this program has succeeded in helping residents and SAB BAHANA officers manage customer reports and data better and more sustainably.

Design of an Android-Based Mobile Application for Nutritional Consultation and Status Monitoring

Design of an Android-Based Mobile Application for Nutritional Consultation and Status Monitoring

Rancang Bangun Aplikasi Informasi Wisata Kabupaten Indramayu Berbasis Mobile Android

Indramayu Regency in West Java has substantial potential in the tourism sector, which can bolster the region's economic growth. However, the dissemination of information about tourist attractions in Indramayu is limited, necessitating the creation of an application to simplify the search for tourism data and information. This study successfully designed and developed an Android-based mobile application named Wisayu using the Rapid Application Development (RAD) method to create a fast, efficient, and user-friendly app. The application was tested in two phases: alpha testing and beta testing. Alpha testing employed blackbox and whitebox methods, yielding valid results. Beta testing was divided into two parts: quantitative data analysis for validity and reliability testing, and descriptive statistical analysis using the User Experience Questionnaire (UEQ). The quantitative data analysis revealed that 22 out of 26 indicators were valid, with Pearson Product Moment correlation values exceeding the r table value of 0.33, while the remaining 4 indicators were below the r table value. The Cronbach's Alpha value for the 26 questionnaire items was 0.63, indicating good reliability. Descriptive statistical analysis showed positive evaluations in each UEQ dimension, with attractiveness scoring 1.32, pragmatic quality 1.63, and hedonic quality 1.11, demonstrating that the application was well-received by users.

Development of Android-Based Mobile Learning Media Using Smart App Creator to Improve Students' Multi-Representation Ability in Thermodynamic Materials

This research is a development research that aims to determine the feasibility, attractiveness, and convenience of android-based mobile learning application products on Thermodynamics material. As well as to find out the increase in the sustainability of multi-percentage of grade XI students in Thermodynamics material with the mobile learnig application in learning. This study uses a research and development (R&D) method with the Borg and Gall model. The methods carried out are tests and questionnaires. Based on the results of data analysis for the expert test, a percentage of 95% was obtained with the criteria of "very feasible". For the validation test, media experts obtained a percentage of 95% with the criteria of "very feasible". As well as the practicality test conducted by physics subject teachers obtained a percentage of 93% with the criterion of "very feasible" and the student response to mobile learning media obtained a percentage of 79% with the criterion of "interesting and easy".

Development of Android-Based Mobile Application for Calculating F- Value in Pasteurized Crab Meat

ABSTRACT Processed foods are vital in modern diets, reflecting lifestyle preferences. This study focuses on crucial factors affecting their quality, particularly the F value. Our user-friendly Android app, utilizing the Patashnik improved method, is customized for pasteurized crab meat. By optimizing F values in fishery processing, our research prioritizes microbial safety. Traditional F value calculation is intricate, demanding expertise and time. Our solution allows even non-experts to compute F values accurately in under a minute using Excel, achieving 99.9% accuracy. This enhances efficiency and precision in ensuring food safety.

Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application.

Deaf and hard-of-hearing people mainly communicate using sign language, which is a set of signs made using hand gestures combined with facial expressions to make meaningful and complete sentences. The problem that faces deaf and hard-of-hearing people is the lack of automatic tools that translate sign languages into written or spoken text, which has led to a communication gap between them and their communities. Most state-of-the-art vision-based sign language recognition approaches focus on translating non-Arabic sign languages, with few targeting the Arabic Sign Language (ArSL) and even fewer targeting the Saudi Sign Language (SSL). This paper proposes a mobile application that helps deaf and hard-of-hearing people in Saudi Arabia to communicate efficiently with their communities. The prototype is an Android-based mobile application that applies deep learning techniques to translate isolated SSL to text and audio and includes unique features that are not available in other related applications targeting ArSL. The proposed approach, when evaluated on a comprehensive dataset, has demonstrated its effectiveness by outperforming several state-of-the-art approaches and producing results that are comparable to these approaches. Moreover, testing the prototype on several deaf and hard-of-hearing users, in addition to hearing users, proved its usefulness. In the future, we aim to improve the accuracy of the model and enrich the application with more features.

Development of Android-Based Mobile Learning Media Using ADDIE Model on Static Fluid Topics for High School 11th Grade Students

This research and development study aimed to create a mobile learning application based on the Android platform to facilitate the teaching and learning of static fluid concepts. The ADDIE (Analysis, Design, Development, Implementation, and Evaluation) model was employed as the framework for the research methodology. The data collection instruments included validation questionnaires completed by subject matter experts, media experts, physics teachers, and students. These were administered during small-group and large-group trials conducted with 11th-grade science students at MAN 1 Lotim. The end product was an Android-based learning app that received an overall good rating with a total score of 82. Evaluation by media experts deemed it good, with a score of 60 out of a maximum of 75. Physics teachers who validated the app rated it as very good/effective with a score of 52. During the large group trial with students, the app gained a high score of 1759, averaging 4.31 which falls into the very interesting category. Based on the validation results and feedback obtained, it can be concluded that the Android-based mobile learning application developed in this study is suitable, effective, and practical to be utilized as an instructional tool for teaching static fluid concepts to high school 11th-grade students in physics education programs.

Perancangan Sistem Emergency Call untuk Pengendara Bermotor Berbasis Mobile

The progress of land transportation, especially motorized vehicles, has a great influence on people's welfare. Currently motorized vehicles have a large contribution to the development of transportation in Indonesia. The increasing number of vehicles always results in problems such as flat tires, running out of petrol or breaking down and the number of these incidents always increases. When problems occur on the highway, drivers always have difficulty finding locations and information about relevant places in order to ask for help with the problems they are facing. This research aims to enable motorized vehicle users to have an Android-based mobile application that is useful for providing location information and related parties to speed up the rescue process. The application that will be developed has a emergency call feature for users to service providers or relevant locations according to the driver's problem. Not only that, this system is also a business platform for those who want to join the merchant feature in it. In this mobile application study, the author will utilize the Google Maps API so that he can search and recommend the nearest place for motorists to seek help. This research was carried out from the analysis, design, implementation, to testing stages.

Constructing an elderly health monitoring system using fuzzy rules and Internet of Things

Monitoring the health of the elderly using wearable sensors and Internet of Things (IoT) devices necessitates the collection of data from various sources, thereby increasing the volume of data to be gathered at the monitoring center. As previously elucidated, the system exhibits high accuracy in measuring variables such as blood oxygen saturation (BOS) and heart rate (HR), as well as demonstrating proficient accuracy in implementing fuzzy rules to detect the “stable” or “unstable” condition of elderly patients. Therefore, by integrating wearable sensors and IoT devices into the elderly health monitoring system, we can enhance the quality of monitoring and provide more timely healthcare solutions tailored to the elderly population’s needs. The integration of fuzzy rules and IoT technology into the elderly health monitoring system offers an efficient and effective solution for continuous health surveillance. In this research, we integrated fuzzy rules and IoT technology into the elderly health monitoring system using parameters such as BOS and HR, through the integration of MAX30100 sensors and ESP32 microprocessors. The implementation of fuzzy rules resulted in nine rules indicating whether an elderly patient is in a “stable” or “unstable” condition. The methodology involved (1) component preparation, (2) device accuracy analysis, (3) fuzzy rule development, (4) Android-based mobile application development, (5) fuzzy rule accuracy analysis, and (6) cost analysis. Experimental results indicated a device accuracy of 98.89% in measuring BOS and HR variables compared to medical devices and a fuzzy rule accuracy of 96% in detecting whether the patient’s condition is “stable” or “unstable.” Based on the experimental findings, the elderly health monitoring system provides a user-friendly, precise, and cost-effective solution to enhance the quality of life for the elderly population.

Smartphone-based colorimetric detection platform using color correction algorithms to reduce external interference

Smartphone-based digital image colorimetry is a powerful, fast, low-cost approach to detecting target analytes. However, lighting conditions and camera parameters easily affect the detection results, significantly curtailing its applicability in multiple scenarios. In this study, an Android-based mobile application (SMP-CC) is developed, which offers a comprehensive package that includes image acquisition, color correction, and colorimetric analysis functions. Using a custom color card, a built-in algorithm in SMP-CC can minimize the color difference between the standard color block image captured by different smartphones under different lighting conditions and the standard value by an LS171 colorimeter less than 4.36. The algorithm significantly eliminates the impacts of external lighting conditions and differences in cell phone models. Furthermore, the feasibility of SMP-CC was verified by successful colorimetric detection of urine pH, glucose, and protein, demonstrating its potential in smartphone-based digital image colorimetry.

Android-Based Mobile Learning Application Using App Inventor on Computer Operating System Material: The Development and Validity Study

Mobile learning apps are widely acknowledged for their effectiveness in enhancing learning results. This study aims to develop and validate an Android-based mobile learning app for computer operating system principles. Using the user-friendly App Inventor platform known for visual programming, it integrates interactive modules and multimedia for diverse learning styles. The study adopted a Research and Development approach following the ADDIE model (analysis, design, development, implementation, and evaluation). The research was conducted at Universitas Negeri Padang and Universitas Muhammadiyah Muara Bungo and involved 10 participants. The analysis of questionnaire-based data conducted by media and material experts categorized the Android-based learning media as "Appropriate", achieving an over-all average of 82.51% and 82.29%, respectively. Meanwhile, student evaluations rated this media as "Feasible" with a score of 82.72%. In conclusion, the development of this Android-based mobile learning application for computer operating system material demonstrates significant potential as an innovative educational tool. The validation process highlighted its potential effectiveness and offered valuable recommendations to enhance its educational value. These findings make a meaningful contribution to the ongoing discourse surrounding the integration of technology-driven learning approaches into traditional education, benefiting educators and developers seeking to create impactful mobile learning experiences.

Exploring community satisfaction in building an innovative android-based mobile survey application for people travelling to Mentawai Island

This research aims to develop and evaluate an android-based mobile survey application to measure passenger satisfaction with transportation service standards to Mentawai Island. The application that has been developed will help in the evaluation process so that the improvement of sea transportation services can be improved. This study used the 4D development model and involved 30 passengers of the Mentawai Fest Ship as research subjects. The research instruments used were a validation questionnaire and a practicality test. A survey of public satisfaction with transportation services to Mentawai Island using an Android-based application will be developed, implemented, and evaluated. The results show that the application effectively meets the community's needs, shows high validity, and provides a convenient feedback mechanism for users. Overall, these findings contribute to efforts aimed at improving the quality of transportation services and the overall passenger experience.

ENSS (Expanded Nursing Stress Assessment) version 1,0: An Android-Based Mobile Application Efficient Stress Assessment in Nurses

The nursing profession is a profession that is prone to experiencing stress. Long work duration in accompanying patients is one of the factors that causes stress in nurses. To anticipate work-related stress problems, it is necessary to periodically identify the level of stress experienced by nurses. The use of mobile applications needs to be developed for easy and efficient stress assessment Android-based which are expected to help nurses identify the stress they are experiencing. The aim of this study was to developing a stress assessment application android-based to identify stress levels efficiently and effectively. This research uses design Research and Development (R&D) with a product development and validation approach through use trials on 34 nurses with a sampling method that is the total sample. Test use using the instrument System Usability Scale (SUS). The research developed an Android-based stress analysis application called ENSS version 1.0 with login features, stress questionnaire main menu and load interpretation. The test was tested by respondents with a score of 74.78 in the category of Acceptable or Admissible. The ENSS application has been developed and is suitable for use in the identification of stress levels in nurses. The application of ENSS is an assessment of the stress level of nursing so that proper management can be carried out.

Early detection of sweet potato weevil (Cylas formicarius) and scab diseases (Sphaceloma batatas) outbreak based on android application

Sweet potato weevil and scab disease are major pests and diseases that become obstacles for increasing sweet potato production in Indonesia. Recently, the incidence of both pest and disease attacks can be detected earlier by using an android-based mobile application. This study aims to assemble an android-based mobile application for early detection of the outbreak of sweet potato weevil and scab disease. This research was conducted in in Malang Regency, East Java, from September to December 2022. Research was carried out by survey, observation, literature studies, and interview with the leaders of farmer association, sweet potato farmers, and local agricultural extension staff. All basic data and supporting data as a trigger for the occurrence of the weevil and scab disease have been collected from the several sample areas. The information was arranged in clusters according to the priority of each variable then was entered into the android studio. The user must enter the supporting data based on the application program to find out the percentage of sweet potato weevil and scab disease. Understanding the predictive value of the incidence of major pests and diseases is required, so farmers can anticipate earlier and prepare appropriate, effective and efficient control technology. An-android mobile application version 1 for early detection of pest and disease which was successfully assembled was expected to be greatly assist sweet potato farmers for maintain their cultivation from yield losses due to C. formicarius and scab which can reduce the quantity and quality by up to 100%.

Development of an internet of things-based weather station device embedded with O<sub>2</sub>, CO<sub>2</sub>, and CO sensor readings

Weather station devices are used to monitor weather parameter conditions, such as wind direction, speed, rainfall, solar radiation level, temperature, and humidity. This article discusses the design of a customized weather station embedded with gas concentration readings, whereby the gas concentration measurement includes oxygen (O<sub>2</sub>), carbon dioxide (CO<sub>2</sub>), and carbon monoxide (CO). The measurements and data processing of input sensors were transmitted to an Arduino Uno microcontroller, and the input data were then remitted to Wemos D1 Mini to be uploaded to a cloud server. Furthermore, the gas sensors' characterization methods were also considered to reveal the obtained results of accuracy, precision, linearity, and hysteresis. An android-based mobile application was also designed for monitoring purposes. The system in our experiment utilized an internet connection with a field station, base station, and database server.

Goods Storage Rental Application (YourStorage) Using the React Native Framework

The increase in online business today with quite high transactions means that business actors who sell their merchandise through marketplaces need temporary storage space that does not have a place to store goods. Based on this, the aim of this research is to build a goods storage rental application to make it easier for business actors to rent storage space online with flexible time periods. This type of research is quantitative research where the system development method uses SCRUM and the software architecture used is service-oriented (Microservice). The results of this research are in the form of an Android-based mobile application and as many as 75% of business respondents feel that the “YourStorage” application can help, 68.75% (22) of respondents stated that the application could help in controlling where goods are stored and 71.87% (23) of respondents stated that the application could make it easier to store goods according to required size

Development of Home-based Rehabilitation Mobile App for Autism Spectrum Disorder

Autism Spectrum Disorder (ASD) children experienced postural balance disorders that significantly affects their quality of life. It is believed that poor gross motor development leads to the bare social interaction which is the core weakness of ASD. However, treatment expenses for ASD children such as movement therapy requires high cost. This may be due to the limited access to the rehabilitation facilities and medical professionals to evaluate the patient well-being. In this study, Android-based mobile application of home-based therapy intervention for ASD children as the main user where mainly monitored by the therapists and caretaker is developed. This mobile app includes movement modules which intended to conduct the therapy routine via the character animations and audio. Users can evaluate motor performance and psychological well-being of the patients which designed for both in-house and clinical settings. Based on the qualitative measurements, it is shows that the average System Usability Scale (SUS) score is 86.25% which indicates good usability.

Development and Usability of ‘Skeletopedia’ Mobile Application for Human Skeletal System

This study aimed to develop an android-based mobile learning application, Skeletopedia based on the cognitive constructivism and cognitive theory of multimedia learning and evaluated its usability as an educational tool for Form Five Biology students. The Skeletopedia was developed according to ADDIE model. It was designed to aid the Form 5 students in understanding and remembering the Latin terminology of human skeletal system as well as allowing them to visualise the human skeleton through three-dimensional augmented reality skeletal models. Two biology teachers were appointed to assess the face and content validity of the questionnaire and Skeletopedia, while 97 Form Five Biology students from Mara Junior Science College (MJSC) FELDA Trolak were selected as respondents for the field study. The usability questionnaire developed in this study had obtained high validity (κ = 1.00, CVI = 1.00) and reliability (Cronbach’s Alpha Coefficient = 0.970). The ‘Skeletopedia’ application had acquired high validity in terms of face validity (κ = 1.00) and content validity (CVI = 1.00). The findings show that perception of students on the design of the Skeletopedia have a mean score of 3.637 (SD = 0.443), the mean score for the content is 3.598 (SD = 0.444), the efficiency (mean = 3.650, SD = 0.434), and usefulness (mean = 3.652, SD = 0.430). In conclusion, Skeletopedia has a high content validity and reliability value. Students' perception of the Skeletopedia also has a high mean value. The findings of this study implied that the Skeletopedia is appropriate and effective to be used as a self-learning tool ubiquitously in enhancing students’ understanding of human skeletal system without time and space constraints due to its portability and flexibility.

Sistem Manajemen Daya Listrik Pada Pengamanan Kendaraan Berbasis Android

The power safety system is a series of monitoring and control technologies in the form of features designed to anticipate and increase power safety for drivers and maintain the stability of the vehicle's electrical system while driving. Several power security systems are generally found in most vehicles. Power security systems are a feature in maintaining the vehicle's electrical condition in addition to security devices for a machine against criminal acts such as theft on vehicles which are increasingly common nowadays so it is hoped that it will be able to minimize the shortage of power system requirements on the machine with control and monitoring carried out using an Android-based mobile application. For this reason, this research will create a power monitoring application and security system for vehicle engines in anticipation of additional power consumption when installing engine security against criminal acts through application-based control. The output produced in this research is an Android mobile application as well as a security system device along with power consumption calculations.