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Rice pest control is one of the main challenges in the agricultural sector in Indonesia. Pests such as planthoppers, stem borers, and rats can cause significant losses to crop yields. Currently, many farmers have difficulty identifying pest types and how to control them quickly and effectively. Therefore, a technological solution is needed that can detect pests directly and provide recommendations for action. This study aims to design an Android-based application that is able to detect types of rice plant pests using visual images and provide recommendations for handling. This application is designed using digital image processing methods and is supported by a large pest database. This technology is expected to be an efficient and practical solution for farmers. The research method used in developing this application is a qualitative method, involving interviews with farmers, agronomists, and data collection related to pests and their damage patterns. This application utilizes AI-based pattern recognition technology to detect pests through photos taken directly by farmers. The results of the study showed that this application was able to detect several types of major pests with an accuracy of up to 85%. In addition, this application provides recommendations for handling steps based on guidelines from the Ministry of Agriculture. The trial showed that this application can help farmers identify pests faster than manual methods. The main contribution of this research is to create a technology-based solution to agricultural problems in Indonesia, especially in the rice sector. With this application, farmers can increase their yields through early identification and proper pest management. In future implementations, this application will continue to be developed to detect additional pests and expand its database. It is hoped that this application can be an important tool in supporting smart farming in Indonesia.

This training aims to provide training on the use of MIT App Inventor in creating Android applications to students at Bale Machine Digital. MIT App Inventor is a web-based platform that makes it easy for new users to program and create Android apps through a block-based Invalid source specified.men interface. The research methods used include problem identification, preparation, training implementation and evaluation. The results of this training show a significant increase in students' knowledge and skills in using information technology and creating Android applications. This training also provides basic skills that are much needed in today's digital era and can be the basis for developing business opportunities in the future.

With all respect and gratitude, we express our gratitude to the presence of Allah SWT who has bestowed His grace and grace, so that we can complete a paper entitled "Development of Hear Talk Me Application Design for Deaf People Based on the Android operating system". Shalawat and salam may always be poured out to the Prophet Muhammad SAW, a role model for mankind. This paper describes the development of smarthphone aids that aim to improve accessibility for deaf people. This application is designed using the android operating system to be easily used by users with special needs. The main features included include text to voice translation and vice versa, as well as vibration notifications for incoming calls or messages. With this paper, we hope to create a useful and effective tool for deaf people to be able to access and utilize Smartphone functions maximally, hopefully this paper can provide useful insights and inspire further research in the development of accessibility technology

The goal to be achieved from this service is the application of the digital economy through e-commerce and fintech for MSME actors in Kota Pari Village. Then it is hoped that the community/MSME actors will be able to understand that this digital economic transformation is used for the turnover of economic activities so that it will increase the income of business actors in the Pandemic Era so that the products offered are not only marketed in the local area but also internationally. Business actors are increasingly aware of this digital economic transformation, so it is hoped that they will be able to increase their income through product sales by increasing production, expanding sales areas in e-commerce that are already available on the android application. This service activity plan will be carried out for 1 day with counseling with the theme of Education on Digital Economy Transformation Through E-commerce and Fintech in increasing the income of business actors in the COVID-19 Pandemic Era in Kota Pari Village, Pantai Cermin District, Serdang Bedagai Regency and evaluating the results by re-observing the community/MSME actors by looking at the income results and the level of purchasing power of the community.

providers bouquet products for the community, which is located at Jalan GG. RT.015 Mosque RW.005 Talang Ubi Timur Village, Talang Ubi District, Penukal Regency Abab Lematang Ilir. South Sumatra Province. The lack of information conveyed to the public, resulting in a lack of knowledge the community regarding the sales of the ce florist shop in PALI district due to the sales information system that was carried out at the ce florist bouquet shop is still manual, namely people who want to know about the latest information about bouquet items must come directly so that it is more effective and efficient, because it takes a lot of time to arrive at the ce florist's bouquet shop. So from the researcher will make an android information system for the ce florist bouquet shop which will be accessed through the application that we install using Flutter programming language. This study uses the method (SDLC) Waterfall as a development method to be used when designing and build applications, while the research methods to be used is a descriptive method through a qualitative approach. Research collecting data through direct observation, interviews and library research. help tool uml design to help design the system to be created. With the existence of this android application hopefully helps people save time when want to shop at the ce florist bouquet shop.

This research aims to create or design an interactive physics learning media application using MIT App Inventor on GLB and GLBB topics. This research applies the MDLC (Multimedia Development Life Circle) method by Luther-Sutopo in the application creation process. The following stages in MDLC are concept, design, material collecting, assembly, testing, and distribution. The Android application created was tested using two stages in MDLC, namely the alpha validator and beta validator, where the alpha validator consisted of material experts and media experts. In contrast, the beta validator comprised 14 students majoring in first-semester physics education. The analytical approach used is a qualitative method and a quantitative method to assess how appropriate the learning media created is. The research shows the results, namely a) Creation of interactive physics learning media based on Android applications using MIT App Inventor on GLB and GLBB topics, b) The level of feasibility of interactive physics learning applications based on Android applications based on media experts, namely 91% or very feasible, and based on material experts. Namely 90.6% or very feasible, and c) Based on the implementation and results of trials with students, the level of feasibility of the Android-based physics interactive learning application is 84.46% or worthy of being an alternative reference source for physics learning on GLB and GLBB topics.    

Clean architecture is a method of application development that divides code into multiple layers based on the purpose of the code, ensuring minimal dependency. Popular architectures in Android application development include MVP (Model View Presenter), MVI (Model View Intent), and MVVM (Model View ViewModel). This research focuses on creating three applications with similar features and interfaces using different architectures. The study compares modifiability, testability, and performance aspects to determine the differences between each architecture. The results show that MVVM architecture is the best in modifiability, with the lowest number of index modifications. Testability requires no more than four scenarios for all architectures. However, MVI architecture outperforms in test coverage, and MVP architecture outperforms in performance. Overall, clean architecture is a valuable approach for improving the performance and usability of Android applications.