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Pengaruh Tingkat Kepuasan Pengguna Alat Simonair Terhadap Minat Pengguna Dalam Memonitoring Kualitas Air Dany Fadhilah; Hikmah Rahmah; Nur Aziezah; Walidatush Sholihah; Faldiena Marcelita
Jurnal Kendali Teknik dan Sains Vol. 2 No. 1 (2024): Januari : Jurnal Kendali Teknik dan Sains
Publisher : Universitas Katolik Widya Karya Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jkts-widyakarya.v2i1.2192

Abstract

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.
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 : Universitas Katolik Widya Karya Malang

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 : Pusat Riset dan Inovasi Nasional

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.
Analisis Pengaruh Artificial Intelligence Berbasis Images Preprocessing dalam Implementasi Deteksi Kematangan Buah Tomat Sevia Dwi Yanti; Hikmah Rahma; Nur Aziezah; Ridwan Siskandar; Aep Setiawan
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 1 No. 4 (2023): DESEMBER : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v1i4.1238

Abstract

Technological developments continue to increase not only in the industrial sector, but have also spread to the agricultural sector, including the tomato farming process. Currently, the stage of harvesting tomatoes no longer relies on manual work, but instead utilizes artificial intelligence technology based on images preprocessing. This research aims to see whether the independent variable (AI effectiveness) has an influence on the dependent variable (tomato ripeness level). The method used is qualitative with simple linear regression data analysis techniques which include the t test and f test. The sample used was a random sampling technique with data collection by distributing questionnaires to a total of 48 respondents. The research results show that the effectiveness of AI has a positive effect on the level of ripeness of tomato fruit. This can be proven from a simple linear regression analysis to obtain the equation Y = 3.498 + 0.787X. The findings from the ttest show that tcount (7.644) > ttable (2.012) with a significance of 0.001 < 0.05. Therefore, the conclusion drawn is to accept the alternative hypothesis (H1) while rejecting the null hypothesis (H0).
PENGARUH KINERJA DAN TAMPILAN ALAT FERTIGASI TANAMAN VANILI “FELOVA” TERHADAP MINAT PENGGUNA: the influence of performance and appearance of the "felova" vanilla plant fertigation tool on user interest Saragih, Bennefit Christy; Hikmah Rahmah; Nur Aziezah; Bayu Widodo; Irmansyah
Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Vol. 14 No. 1 (2024): Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian, Volume 1
Publisher : IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jstsv.14.1.58-65

Abstract

Tool functionality and appearance are important factors in determining whether Felova products are worth using to assist in watering and applying fertilizer to vanilla plants. Products with the best performance and appearance will increase efficiency and help users achieve optimal vanilla yields. Felova is an automated fertigation and irrigation tool. This survey was conducted to determine whether the performance and appearance of the Felova tool significantly influence the interest in using digital technology for vanilla plantations. Sample data was collected through questionnaires to 20 respondents of IPB University Vocational School students at the IT Festival 2023 event. This study utilizes a multiple linear regression analysis approach to test the impact of three variables, namely tool performance (X1) and tool appearance (X2) as independent variables, while user interest (Y) acts as the dependent variable. The analysis of multiple linear regression showed that the parameter value for variable X1 was -0.271 with a significance value of 0.280. The parameter value for variable X2 is 0.087 with a significance value of 0.731. Both significance values are compared with an alpha value of 5%. Furthermore, the results showed that neither the overall performance nor the appearance of the Felova tool significantly influenced user interest. The value of the coefficient of determination shows 0.070, which means that the performance and appearance of the tool can explain the user interest variable by 7% and the remaining 93% is affected by other factors outside the model.