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Journal : Paradigma

Pengukuran Kualitas Website Skill Academy Terhadap Kepuasan Pengguna Menggunakan Metode Webqual 4.0 Izmi Habiba; Ganda Wijaya
Paradigma Vol. 24 No. 1 (2022): Periode Maret 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.406 KB) | DOI: 10.31294/paradigma.v24i1.963

Abstract

Development service or self-training currently has transformed along with the development of digital technology. Skill Academy becomes a solution in the community to develop technical and soft skills without constraints such as the limitation of time, place, and energy. However, the Skill Academy website sometimes still experiences errors, such as material or tutorial videos cannot be played and certificates not being printed according to the schedule. Therefore, this study aims to find out how the quality of the Skill Academy website on the user satisfaction using the Webqual 4.0 method. Webqual 4.0 method has three instruments, Usability, Information Quality, and Service Interaction Quality. The primary data was obtained by disseminating a questionnaire containing 22 questions about website quality and 5 questions about user satisfaction. The data were obtained using a non-probability sampling technique, which was purposive, with 100 respondents. The data analysis method used was multiple linear regression using SPSS 25 tools. The results of the study showed that the three Webqual 4.0 instruments simultaneously had an impact on user satisfaction or 58.1%, while the rest was defined by other factors outside this research model. The results for the influence of each instrument were found that Usability did not have significant influence, while Information Quality and Service Interaction Quality had a significant influence on User Satisfaction.
Optimization of the YOLOv7 Object Detection Algorithm for Estimating the Amount of Apple Harvest Verry Riyanto; Imam Nawawi; Ridwansyah Ridwansyah; Ganda Wijaya; Toto Haryanto
Paradigma Vol. 25 No. 1 (2023): March 2023 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v25i1.1809

Abstract

The increasing population consumed in high production and food needs for survival. Apples are one of the crop harvest products in Indonesia whose needs are increasing, because they are not only needed for human vitamins but can be used as hand fruit or a form of gratitude to those who receive the fruit. In the process of harvesting apples in agricultural land, harvesting is often found which is not feasible in the hands of consumers because it takes too long for apples to not be harvested when the condition of the fruit is feasible in maturity. Therefore, the authors approach this problem by processing the image results obtained to form a detection model, whether the apples are said to be feasible to be harvested immediately and from the image results it can also be calculated the number of fruits captured by the image model , feature enhancements Estimates on objects from this image model are expected to provide more timely harvest predictions in order to provide longer aging of apples and good fruit quality after reaching consumers