STEM Learning Model Design Using IoT for Primary School Students

During the COVID-19 pandemic, the Indonesian economy was heavily affected because Indonesia experienced an increase in the status of pandemic danger, in which PPKM was implemented to reduce the spread of COVID-19 and its variants. All activities including sales and purchases were conducted according to health protocols, followed by many complaints from both sellers and buyers who are afraid to leave their home. Therefore, online sales to limit the spread of the virus is beneficial. The development of technology and the rapid flow of data and information spread over the internet has brought about the emergence of e-commerce where sellers can sell directly to buyers. This requires people to know information and buy goods on e-commerce by using search engines that can help find information related to products that consumers want to buy. This research is based on data obtained from the Entok Chamber shop owner regarding declining sales due to the pandemic. To respond to this, the researchers conducted research aimed at increasing sales in this COVID-19 era. This research utilizes the waterfall model and displays in formal Cross Selling for the product buyers are looking for. This system is made using the PHP programming language and MySQL database and implements a responsive web that functions to store sales, purchase data, and others.

Section: System Development Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation of Cross Selling in Product Selection in Entok Chamber E-commerce

Sena

Rusdi

Amanto

et al. 2023

“…The Waterfall method is included in the SDLC (Software Development Life Cycle) system development method which is often used to build application systems [8]. Waterfall Model is the basis of process activities consisting of specification, development, validation, and evolution, represented in separate process stages such as requirements specification, software design implementation, testing, and so on [9].…”

Section: Waterfall Methodsmentioning

confidence: 99%

Android Based Covid-19 Testing Sites Locator and Booking Application

Putra

Hendryli

Chandra

et al. 2023

With the COVID-19 virus, health is one of the most important factors that need to be considered to break the chain of transmission of COVID-19. One way to detect the virus is to do a swab or RT-PCR. Along with technological developments, this Android-based application for finding and booking COVID-19 test aims to help the public to book COVID-19 testing. This application can provide a clear picture of where the COVID-19 tests are being held. In addition, this application can provide clear directions to the COVID-19 testing site by using the Google Maps feature which stores location data for the examination site. This application is made using the Waterfall method. For data storage, this application uses the Firebase Database which is a Google service, so that this application can be accessed online. The programming languages used are Java and JavaScript. The main feature of this application is that it provides information and bookings for COVID-19 testing sites that can be selected based on the distance and price of the examination.

“…shows the shape of the Xiaomi Mi Flora sensor tool and smartphone as a medium for supporting experiments. Monitoring plant growth can be done through controlling environmental parameters such as humidity, temperature, water oxygen content, nutrient concentration (fertility of growing media), and light intensity [12] [13]. Web-based application development itself can help monitor environmental parameters in real-time.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of Web-Based Plant Sensor Tool Data Processing Application

Chandra

Wasino

Amanto

et al. 2023

The rapid development of technology in the 4.0 era brings changes in the use of technology. The industrial 4.0 era makes IoT (Internet of Things) media a technology that can support all sectors of activity including the agriculture or farming sector. IoT media takes place in the form of plant sensor device that can be used to measure changes in environmental parameters. These changes include light intensity, temperature, humidity, soil fertility, are the supporting factors for plant growth. This study aims to design a website-based application that can read plant sensor data. Sensor device data is collected and downloaded in CSV (Comma Separated Values) format. Data processing requires the Naïve Bayes algorithm as a method for grouping parameter data. The results of the study are in the form of a website design that can help analyze the ideal environmental parameters for farming activities.