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Analisis Statistika Tingkat Kepuasan Pengguna Sistem Monitoring Mesin Cetak Pelet Pakan Ternak Berbasis IoT Khairunnisa Hayyu Kusnadi; Hikmah Rahmah; Nur Aziezah; Faldiena Marcelita; Inna Novianty
Jurnal Kendali Teknik dan Sains Vol. 2 No. 1 (2024): Januari: Jurnal Kendali Teknik dan Sains
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v2i1.2284

Abstract

The aim of this research is to analyze the processing of user satisfaction data on the IoT-based feed pellet machine monitoring system using the Blynk application among visitors of the IT Fest at the School of Vocational IPB University, majoring in Software Engineering Technology (TPL), Computer Engineering Technology, and Industrial Management from batches 57, 59, and 60. The research method employed in this study is quantitative research using descriptive statistics. The sampling technique utilized is a survey method, and the instrument for data collection is a questionnaire. Subsequently, the analysis of all data is conducted by performing testing stages using measures of central tendency, including mean, median, and mode. Using the Likert scale, conclusions can be drawn from the respondents' answers.
Pengaruh Penampilan Dan Fitur Robot Quality Check Apilastik Terhadap Tingkat Kepuasan Pengguna Adelia Tri Aprilian; Hikmah Rahmah; Nur Aziezah; Walidatush Sholihah; Ridwan Siskandar; Aep Setiawan
Jurnal Publikasi Teknik Informatika Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v3i1.2512

Abstract

Rapid advances in technology, particularly in the Internet of Things (IoT), are enabling the development of devices and robots that can be operated remotely. This research explores the effects of APILASTIK Quality Check Robot Appearance and Features on User Satisfaction Level. This tool, developed by Computer Engineering Technology students at IPB University's Vocational School, aims to detect defects in production products. The robot attracted great attention when it was presented at IT FEST 2023, showing the potential for wide use. Evaluations of the robot's appearance and features showed a positive and significant influence on the level of user satisfaction, with each variable contributing 66.4% and 25.4%, respectively. Hypothesis testing confirmed the overall positive and significant impact, with the coefficient of determination (R2) reaching 82.7%. The results of multiple linear regression analysis and t-test show that the robot's appearance and features individually contribute significantly to user satisfaction. With these findings, we can understand the factors that influence user satisfaction with damage-scanning robots. The recommendation is to focus on feature development or appearance enhancement to improve overall user satisfaction.