This research aims to demonstrate the influence of the effectiveness of image preprocessing-based artificial intelligence technology in detecting the ripeness level of tomatoes on user satisfaction and to discover correlations between them. The applied research method is quantitative, with data collected through the distribution of questionnaires to attendees of the IT Festival 2023 Expo held on Sunday, August 27, 2023, at the Baranangsiang Campus, IPB. The data analysis methods used include Pearson correlation test, simple linear regression, coefficient of determination test, and T-test using SPSS 25.0 software. The test results indicate that the effectiveness of image preprocessing-based artificial intelligence technology has a positive and significant impact on detecting the ripeness level of tomatoes

This research brings the concept of the Internet of Things (IoT) in creating the Apilastic Robot, a device that aims to reduce customer losses by identifying the causes of rejected items, particularly in frequently returned cups. Through qualitative data collection from a case study with the researcher as the human instrument, the research objective was to develop a device that can recognize the type of damage on the glass, provide support to the user to identify the source of the problem, and take appropriate steps. The results of the analysis showed that product effectiveness had the greatest influence on tool usage satisfaction, explaining 77.2% of the variability in tool effectiveness. It is expected that these findings provide support to users in troubleshooting frequently returned glassware with root cause identification and appropriate steps.

Improving water quality is an important issue that governments and society must address. His one way to improve water quality is to monitor it regularly. Monitoring tools that are easy to use and accessible to the public can be a solution to improving water quality. The aim of this research is to assess how user satisfaction with Simonair affects their inclination towards monitoring water quality. The methodology involves conducting a survey with respondents utilizing the Simonair tool, and the gathered data is subjected to analysis through a straightforward linear regression examination.Top of Form The results show that users' satisfaction with the Simonair tool has a significant positive impact on their interest in water quality monitoring. The higher the user satisfaction, the more interested the user will be in  water quality monitoring with Simonair. Drawing from the findings of this investigation, it is possible to infer that users' satisfaction with the Simonair tool is an important factor influencing users' interest in water quality monitoring. Therefore, efforts are needed to increase user satisfaction with the Simonair tool and increase user interest in  water quality monitoring using Simonair.

The purpose of this research is to ascertain how satisfied users are with the functionality of the IoT-based “BottlePress” plastic bottle waste compression tool. This research uses a survey method with quantitative research with a sampling technique, namely distributing online questionnaires via Google Form. A simple regression test was used to analyze data obtained from filling out the questionnaire. According to the research findings, most users are satisfied with the performance of the IoT-based “BottlePress” plastic bottle waste compression tool.

The purpose of this study was to determine the influence of users and the effectiveness of the Plastic Bottle Waste Compression Tool "Bottlepress" as an innovation in protecting the environment. The method used is a quantitative survey form using the Google Form platform in the form of a questionnaire to obtain a sample. Simple Linear Regression and Correlation methods were used as data analysis of this study.  The results of this study indicate that there is no influence between user convenience on compression tools with a greater significance ?> 0.05, namely 0.373 and a regression coefficient of 0.167 units or 16.7% positive value.