Pengembangan Platform IoT Cerdas dengan Trigger Action Programming dan Canvas API berbasis Android

Firmansyah, Mohammad (2024) Pengembangan Platform IoT Cerdas dengan Trigger Action Programming dan Canvas API berbasis Android. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

The development of an intelligent IoT platform with trigger action programming and Canvas API based on Android seeks to simplify the flow of creating IoT-based intelligent solutions with a focus on ease of use and implementation of machine learning models with IoT components on a universal panel. This application is designed to run on Android operating systems above version 7.0. This research flow is a literature study, system design, then system implementation with Kotlin & XML for frontend and Javascript and Python for backend development and finally testing using black box. The results of this study found that the development of an intelligent IoT platform with trigger action programming and Canvas API based on Android can be done on Android devices properly based on black box tests. The integration of machine learning on this platform has been in accordance with its purpose, which is to simplify the process of creating IoT-based smart solutions, where previously users had to create a special service for deploying machine learning and then connected to the IoT panel to be simpler, namely by saving the model that has been made and entering the SAV or H5-based saved model on this platform, then on the panel users can directly connect IoT components with their machine learning service.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorRahmat, BasukiNIDN0023076907UNSPECIFIED
Thesis advisorAkbar, Fawwaz AliNIDN0017039201UNSPECIFIED
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Q Science > QA Mathematics > QA76.6 Computer Programming
Q Science > QA Mathematics > QA76.625 Internet Programming
T Technology > T Technology (General) > T385 Computer Graphics
Divisions: Faculty of Computer Science > Departemen of Informatics
Depositing User: Mohammad Firmansyah
Date Deposited: 04 Jun 2024 07:28
Last Modified: 04 Jun 2024 07:28
URI: https://repository.upnjatim.ac.id/id/eprint/24019

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