Android Studio Research Articles

Infaq Tube Pick Up Scheduling Application in Pontianak City Based on Android (Case Study of West Kalimantan Lazismu)

The Amil Zakat Infaq Shadaqah Muhammadiyah Kalbar Institute (LAZISMU Kalbar) is a national-level zakat institution that is solemn in empowering the community through productive utilization of zakat funds, infaq, waqf and other philanthropic funds from individuals, institutions, companies and other agencies. Lazismu Kalbar has several programs, one of which is the infaq tube, which is a charity box program as a means to make it easier for donors to donate and give charity in their respective homes. The collection of infaq funds by West Kalimantan LAZISMU officers is carried out once or twice a month according to the time agreement between the donor and the West Kalimantan LAZISMU. Considering that the number of donors continues to grow, it is difficult for officers to arrange the pick-up times for the charity boxes, besides that the officer's journey becomes inefficient because the charity boxes that should be taken at once in one trip are forced to take two trips to places that are actually close to each other. A system and application is needed that is able to support the charity box pick-up process with a scheduling mechanism. This research has developed an Android mobile application that makes it easier for LAZISMU officers to schedule pick-up for the infaq tube, which is very important, in order to minimize the possibility of clashing pick-up schedules. Making the application using IDEA Android studio with web service as its database technology, which utilizes google calendar technology as a scheduling medium and utilizes notifications from google calendar as notification of infaq tube pick-up notifications. Based on the test results, in compatibility testing, the application is installed and runs well on android devices starting from the Jelly Bean operating system version (4.2.2) to Pie (9.0).

Penerapan Forward Chaining dan Certainty Factor Pada Sistem Pendeteksi Penyakit Hewan Qurban Berbasis Android

Qurbani worship is a worship of the slaughter of livestock carried out on the feast of Eid al-Adha. In Indonesia the dominant livestock used for qurban worship is goats and cows, qurban animals that are allowed to be slaughtered also have conditions ranging from age and most importantly their health. This research is done so that goats and cows that will be slaughtered for qurban worship are free from existing diseases. Some of the problems in the system that will be built is the lack of understanding of the sellers of animals qurban about the diseases suffered by goats and cows from the symptoms experienced by these animals. This study used the method of forward chaining and certaity factor in solving the problems that exist in goat and cow animals, to produce a conclusion in detecting diseases in these animals based on existing symptoms. The process of designing the application of disease detection expert systems in goat and cow animals uses the java programming language and uses a text editor android studio. The authors also tested the comparison of the combination method between forward chaining and certainty factor with the forward chaining and naïve bayes methods that received the highest percentage value results, namely in the forward chaing and certainty factor methods with a value of 9.553%. in scab disease suffered by goat animals and a value of 9.509%in bloating disease suffered by cow animals. Getting the final result on the calculation of detection of goat disease by 91,264% with indicated suffering from scab disease and also in cow animals by 90,432% indicated to suffer from bloating disease, both the final results of the calculation of the type of disease suffered by goats and cows respectively seen from the symptoms that have been inputted by the user.

Application of IoT for Monitoring of Accidents in Agriculture

An IoT based agricultural accidents monitoring system has been developed to know cause and analysis of accident also to estimate losses due to agricultural accidents. It has capability to feed and upload data along with live photographs from the spot of accident and from the place of investigation. The system consists of mobile app and a server-based software. Android Studio and Adobe Dreamweaver was used for development of android app for creating, publishing, and managing websites and mobile content while MySQL, J2EEtechnology were used to develop web applications, CVS is a version control system used for Source Configuration Management (SCM). Eclipse was used to develop packages and Apache Tomcat for web server environment in which Java code can run. The developed multi lingual application is user friendly with multilevel security and can be operated by persons using any android-based mobile phone. The system can generate reports as per the access authentication. The analysis includes accidents type and nature, total number, farm machinery related, hand-tools related and other accidents. Apart from research organizations this system can revolutionize safety in agriculture through manufacturers, policy makers, insurance companies for implementation of more safety features, safety standards on the equipment, creating awareness whereby bringing down accidents to the minimum level for more safe tomorrow in the field of agriculture.

A Novel NFC-Based Secure Protocol for Merchant Transactions

The unprecedented growth of mobile applications promoted the usage of these mobile applications for payments. The current research works in mobile payments and commerce are prone to reverse-engineering attacks and lacked transport layer protection, so these research works do not ensure security. Therefore, such attacks on Mobile Payment Applications (MPA) will be successful, which leads to severe financial loss. To address these issues, we propose a secure framework incorporating a defense-in-depth approach for Near Field Communication (NFC) based mobile payment frameworks. Our defense-in-depth approach has three levels, i.e., Defense at hardware, mobile application, and communication level. We have proposed a NFC based Secure Protocol for Mobile Transaction (NSPMT) protocol and successfully verified a mobile payment protocol with BAN (Burrows, Abadi, and Needham) logic and Scyther tool, and our proposed protocol overcome multi-protocol attack, RAM (Random Access Memory) scrapping attack, DOS (Denial Of Service), DDOS (Distributed Denial Of Service), and Phlashing attacks. Our proposed mobile Payment system overcomes the known mobile application vulnerabilities, including Heartbleed and ROBOT (Return Of Bleichenbacher’s Oracle Threat). Our proposed protocol ensures all the security properties and the energy and communication cost and computational cost are far less than the existing works in the literature. Finally, we have successfully implemented our protocol using kotlin language in Android Studio, with two Mobile Payment Applications (MPA) and POS Payment Application (PPA), Elliptic Curve Digital Signature Algorithm (ECDSA) is used and Advanced Encryption Standard (AES) with GCM (Galois/Counter Mode) mode is used for encryption and decryption of Customer Payment Data at MPA and PPA.

Human Monkeypox Classification from Skin Lesion Images with Deep Pre-trained Network using Mobile Application.

Recently, human monkeypox outbreaks have been reported in many countries. According to the reports and studies, quick determination and isolation of infected people are essential to reduce the spread rate. This study presents an Android mobile application that uses deep learning to assist this situation. The application has been developed with Android Studio using Java programming language and Android SDK 12. Video images gathered through the mobile device’s camera are dispatched to a deep convolutional neural network that runs on the same device. Camera2 API of the Android platform has been used for camera access and operations. The network then classifies images as positive or negative for monkeypox detection. The network’s training has been carried out using skin lesion images of monkeypox-infected people and other skin lesion images. For this purpose, a publicly available dataset and a deep transfer learning approach have been used. All training and testing steps have been applied on Matlab using different pre-trained networks. Then, the network that has the best accuracy has been recreated and trained using TensorFlow. The TensorFlow model has been adapted to mobile devices by converting to the TensorFlow Lite model. The TensorFlow Lite model has been then embedded into the mobile application together with the TensorFlow Lite library for monkeypox detection. The application has been run on three devices successfully. During the run-time, the inference times have been gathered. 197 ms, 91 ms, and 138 ms average inference times have been observed. The presented system allows people with body lesions to quickly make a preliminary diagnosis. Thus, monkeypox-infected people can be encouraged to act rapidly to see an expert for a definitive diagnosis. According to the test results, the system can classify the images with 91.11% accuracy. In addition, the proposed mobile application can be trained for the preliminary diagnosis of other skin diseases.

A Secure and Robust Architecture based on Mobile Healthcare Applications for Patient Monitoring Environments

The recent outbreak of COVID-19 pandemic realized the importance of patient monitoring environments, Mobile Healthcare Applications (MHA) plays very crucial role in the successful implementation of patient monitoring environments. Existing MHA’s in the realm of patient monitoring environments are prone to repackaging attacks; do not ensure security, application security and communication security. This paper proposes a secure and robust architecture for mobile healthcare applications in patient monitoring environments ensuring end to end security ensuring all the security properties by overcoming repackaging attacks which are very vital for success of mobile healthcare applications. We implemented our proposed protocol in Android Studio, Kotlin is designed to interoperate fully with Java. ECDH Key exchange algorithm is used for key exchange between MHA in patient’s smart phone and MHA in the hospital TPM. We created an EC key pairs (NIST P-256 aka secp256r1) at patient’s MHA and MHA of hospital TPM by using ECDH and we created a shared AES secret key. AES with GCM mode used for encryption and decryption of patient data.

An IoT-based smart hearing aid for hearing and speech impaired persons

Hearing and speech loss are impairments that affect more than 5% of the world's population. This paper presents a smart hearing aid designed to assist individuals suffering from both hearing and speech impairment. The hardware consists mainly of a digital hearing aid unit, a Bluetooth audio receiver module and a smart phone with Android application designed on android studio using recogniser intent and Google application programming interfaces (APIs) installed and programmed. An innovative internet of things (IoTs)-based interaction between the modules enabled hearing and speech impaired patients communicate effectively through the use of the hearing aid, text-to-speech converter and speech-to-text converter. The device was tested on 30 subjects from the ear, nose, and throat (ENT) clinic of Lagos University Teaching Hospital Lagos, Nigeria. The results demonstrate the effectiveness of the device in assisting patients suffering from various degrees of hearing loss. Hearing and speech impaired persons will benefit immensely from the use of the proposed device in communicating with others.

Combating Covid19 Using a Mobile App

Through this pandemic, the world has experienced two major crises, health crisis, and economic crisis. It would be dangerous for us to continue with our “normal” daily lives. We have been forced to stay at home, and some have been dismissed from their jobs; even street vendors are forced to close. The primary purpose of this paper is to represent our solution idea on the troubles regarding COVID-19 to help and support people by providing them all the information and services needed about the COVID-19, such as the high-risk COVID-19 area, statistical growth, safety tips, online swab test booking, etc. through a mobile-based application. In this paper, we designed a model with the use case and class diagrams and implemented using Android Studio.

Machine Learning Applied to Prevention and Mental Health Care in Peru

The present research aims to develop an application that allows the early and timely detection of signs of problems in the mental health of citizens. Agile methodology was used, with its SCRUM framework developing its four steps. In addition, technological tools such as artificial intelligence, mobile appli-cations, social networks and the python programming language were used. Also using SQL Server, Android Studio and the Marvel applications, the latter for the design of the prototypes, through the method of sentiment analysis and machine learning, in order to create a mobile application that is as accurate as possible in its results. For this, several types of algorithm were evaluated, managing to select the most appropriate one since it works based on information collected through the social networks Facebook and Twitter. The result that was obtained was the application that uses machine learning to prevent and take care of mental health in Peru, thus benefiting the citizens of society.

GoFearless: A Safety and Security Android Based Application for Women

In today’s world, savagery against women has developed at an alarming rate considering the startling and dishonorable episodes around us. For different purposes, women got to travel alone in public transport to known or even obscure areas, at night as well. Moreover, they confront sexual badgering, eve-teasing, kidnapping, and whatnot. From the social, psychological, and legal points of view, these phenomena have significantly affected people from all sectors. For the last couple of years, the utilization of GPS navigation equipped with smartphones has extended significantly. Thus a smartphone can be utilized proficiently for individual security or other security purposes. This paper represents an android application entitled “GoFearless” that can protect ladies from hazardous circumstances so that they can feel courageous while traveling or getting to work every day. It is an android app with unique features such as instant cautioning the trusted contacts in conjunction with user location with three emergency trigger buttons-Panic, Cautious, and Update. Besides these, there are other options like addresses of adjacent police stations, police contacts, one-tap call to a national crisis number, recording and saving the surrounding phenomenon for future evidence purposes, etc. This app is developed in Android Studio utilizing Java Development kit, thus acting as a defender, taking after the user until they feel secure.

AI Powered Asthma Prediction Towards Treatment Formulation: An Android App Approach

Asthma is a disease which attacks the lungs and that affects people of all ages. Asthma prediction is crucial since many individuals already have asthma and increasing asthma patients is continuous. Machine learning (ML) has been demonstrated to help individuals make judgments and predictions based on vast amounts of data. Because Android applications are widely available, it will be highly beneficial to individuals if they can receive therapy through a simple app. In this study, the machine learning approach is utilized to determine whether or not a person is affected by asthma. Besides, an android application is being created to give therapy based on machine learning predictions. To collect data, we enlisted the help of 4,500 people. We collect information on 23 asthma-related characteristics. We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.

MOBILE APPLICATION FOR ADJUSTING AIR-BLAST SPRAYERS IN COFFEE PLANTATION

Mobile application development advances, particularly for smartphones and tablets, have allowed farmers to make decisions more assertively in their agrobusiness management. This article addresses the development and evaluation of an app aimed at people who deal with the pesticide application technology in coffee farming, more specifically, adjustment and calibration of sprayers. This mobile app provides the main data necessary for a correct calibration of air-blast sprayers to apply pesticides in coffee planting. Its functionalities include calculation of the application rate for each situation (L ha-1) based on data obtained in the field, such as canopy volume. The app, called SprayCafé, was developed for the Android platform using the Java programming language in the integrated development environment Android Studio. After the development, the application was evaluated, based on a questionnaire answered by 139 users, who ranked the following requirements: ease of use, loading time, adequacy of screen resolution, data relevance, sequence of information, and applicability, among others. The system proved to be simple and robust; it was thus assessed as adequate to the field and to be of great value for coffee planting, especially because it allows safer and more adequate pesticide application. The graphical user interface is interactive and easy to use.

Geolocation Mobile Application to Create New Routes for Cyclists

In Peru in recent decades it has undergone unex-pected changes, often generating chaos among the population, such as the excess of vehicles that travel daily on the roads generating pollution. This has led people to seek alternatives, such as the use of bike, as a means of transportation. The objective is develop a mobile application for the creation of alternative routes for cyclists. For them we have carried out a survey of 50 people dedicated to the field of cycling as well as people who do not exercise it in order to collect data, analyze it and create mechanisms that help these users. This application was developed in Android Studio implementing free libraries to achieve its geolocation in a way that provides all the facilities for the cyclist to move. For the process of creating this application, the Scrum methodology was used, the design of the prototype is done in Adobe Photoshop. It was obtained as results of the investigation carried out in the survey that 75% of the people are satisfied with the use of the application, 60% responded defining it as very good and 100% answered yes they would recommend the application.The investigation is of importance, since it would allow as future work the reduction of environmental contamination.

APP test system: a case study of calculus

COVID-19 has had a broad impact on society, and a profound impact on education, thus, distance online courses are seen as a way to continue schooling during the pandemic. This study employed Android Studio to develop an APP calculus learning test system which can be used for self-review exercises and allows students to make good use of mobile apps to conduct post-learning and self-testing of calculus at home, and immediately determine their learning results. In addition, through back-end access, teachers can view students' learning scores and the number of wrong and correct questions, and thus, know the effect of individual students' self-review. During the COVID-19 pandemic, as teachers and students cannot interact in class at school, teachers can use the APP calculus learning test system to provide distance remedial teaching to students who fall behind during the course.

COVID-19 Tracking Mobile Application at ITCG

Objectives: Implement a mobile application to control COVID-19 in all its variants, containing or reducing the spread of the virus during the return to face-to-face classes at the ITCG. Methodology: The project was developed in Android Studio using different libraries and technological resources. You have access to a web server with a MySQL database. The application allows scanning the QR code of the visited site from the mobile application, reporting a positive case and vaccine reactions, monitoring any unusual adverse effects, as well as receiving notifications via SMS. Contribution: Contain the advance of the virus, avoiding saturating health systems, monitoring users in the event of any eventuality. The application was distributed to the student community of the Technological Institute of Ciudad Guzmán (ITCG) during the application of the first dose of the AstraZeneca vaccine, to monitor any symptoms, as well as positive cases during the return to face-to-face classes.

Development of an Android Mobile App for Real Time Maize Stem Borers Monitoring in Precision Farming

Development of an Android mobile app for real time maize stem borers’ monitoring in precision agriculture is presented. In farmland, cultivated maize requires farmers’ constant care and monitoring during the developing stage to avoid sudden attack of insect pests such as stem borers in the field. The maize monitoring process taken by farmers to ensure attack free and healthy growth is very strenuous and time consuming. The sudden invasion of the Spodoptera species (stem borers) to maize farm early 2016 caused huge loss to farmers and imposed food scarcity in the land. These species are hardly distinguished from one another by farmers in the farm because they look alike in appearance. Rural farmers do not know the right insecticides to apply for the effective control of these species. These issues kept on lingering and now have become serious concern to farmers. Hence, this work is to bridge the gap by providing android mobile app that would enable farmers to effectively monitor these species remotely. The mobile app architecture consists of various sections such as captured insects, categories of spodoptera species, insect pest population plots, determination of economic injury level (EIL) and economic threshold (ET), and control measure was successfully designed. The mobile app structure and behavior were also designed using Unified Modeling Language (UML). The maize Stem borers App was developed in android studio using Kotlin programming language. The App is linked to the cloud server where all the captured and recognized species are stored for downloading and farmers’ visualization. The Internet of Things (IoT) hardware was setup in the maize farm which captured these targeted insect pests, processed via Nividia Jetson Nano and sent to the cloud server. The mobile App synchronized successfully with the cloud server and could download stored maize insect pests in the farmer’s Android phone.

Aplikasi Android Kumpulan Lagu-Lagu Perjuangan Nahdlatul Wathan

Nahdlatul Wathan is a religious community organization the religious community located on the island of Lombok, West Nusa Tenggara, founded by TGKH. Zaenuddin Abdul Majid. In the period of organizational development, TGKH. Zaenuddin Abdul Majid made a lot of songs with the theme of the NW struggle. Currently, NW's struggle songs have been widely circulated to the general public and the nahdliyin community in various different collections which actually help in taking turns listening. With this, it takes a smartphone device media with an android operating system that is used to listen to all collections of NW struggle songs without space and time limits. With the Android application, these NW struggle songs can make it easier for NW congregations in particular and the public in general to listen to NW struggle songs. In developing the android application, NW's songs of struggle use the waterfall process model whose stages are adopted, namely systems engineering, needs analysis, system design and implementation. System design using UML (Unified Modeling Language) and programming using android studio

Garage Control and Monitoring System using Fuzzy Logic Method Based on User Distance and Speed

The increase in private vehicles number will also increase the number of crimes such as vehicle theft. So the owner must have a garage to increase security. However, generally security systems still use standard security. So, a system was developed to improve security and make it easier to be more effective using the ESP32 microcontroller to process the user's distance and speed values ??to control the rolling door using fuzzy logic, monitor whether or not vehicles are in the garage through a smartphone application, manage the queuing system on the smartphone application and find out the quality of the network used. Data retrieval is done by testing the hardware performance, namely the MG996R Servo Motor, ultrasonic sensor HC-SR04, Magnetic Switch MC-38, Infrared Sensor, Buzzer Module, and 1W HPL LED and the performance of smartphone application software made using Android Studio. From the test results, the speed of the servo motor with forward rotation is obtained from fuzzy logic processing to get the maximum and minimum values. A monitoring system to determine the presence or absence of a car in the garage by utilizing the color change of the view on the smartphone application. In automatic mode the smartphone application uses a queue system, where only one user can use the application, so other users cannot access the smartphone application and receive notifications. Based on the ITU-T standard, network quality testing (QOS) using wireshark software with parameters delay, packet loss and throughput gets a very good category value.

Sistem Informasi Penjualan Motor Bekas Berbasis Android Untuk Meningkatkan Penjualan di Mokascirebon.Com

Mokascirebon.com is a trusted showroom in Cirebon for buying and selling second hand motorcycle, where in the business of buying and selling second hand motorcycle, it requires a large amount of capital and must be able to turn in and out of the motorcycle quickly considering that the longer the motorcycle is sold, the price will be decreased, and also if the tax of motorcycle stocks are in due date, it will increase the capital costs which is needed. The length of time a motorcycle has been sold has many factors, including tight business competition, where all of them are competing to increase sales of their second hand motorcycle and also have a system that makes working faster and more precise. From those problems, an idea is emerged to increase the motorcycle sales by increasing the reach of promotional media on the Android platform and creating an Android based computerized system that is able to accelerate the internal work of the company. In designing this application using the waterfall method, where the stages are gathering needs, building and evaluating waterfall, coding, testing, evaluating the system until finally the system can be used. The programming language used is Java and also uses the Android Studio application to create the Android application. The database used is MySQL. The supporting tools used are Photoshop, Corel Draw and the Android Emulator. With this android based second hand motorcycle sales information system to Increase Sales at Mokascirebon.com, it is hoped that it will be able to increase sales of second hand motorcycle and to simplify and accelerate the company's internal work

Perancangan WebView Template Pada Android Studio Arctic Fox Studi Kasus: Dagangrumah.com

Android is one of the largest mobile operating system platforms today. In the midst of the rapid development of android application technology, many programmers have not learned how to make android applications, evidenced by the number of websites that have adapted to the android application screen but do not yet have android applications. In android application development technology there is a feature called WebView that allows application developers to be able to display content from web pages directly within the application. To make it easier to create applications, the author creates templates by: prototyping WebView, formulating problems, studying supporting theories, creating templates, template implementation, as well as documentation of template implementation. In Android Studio Arctic Fox, the application of templates is done with three steps: changing the project name, changing the contents of variables according to the parameters of the relevant website data, and changing the logo. By using WebView templates, the process of creating applications from a website becomes very easy.