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Journal : Bulletin of Computer Science Research

Penerapan Metode Webqual 4.0 Dalam Pengukuran Kualitas Website Awicoffee Robet; Agus Maringan Siahaan; Satriya Miharja
Bulletin of Computer Science Research Vol. 4 No. 2 (2024): Februari 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v4i2.339

Abstract

The measurement of Awicoffee’s website quality was conducted with the aim of enabling the website owner to develop aspects that have low value, so that they can continue to develop in line with the times. The data used for this research is the result of questionnaire distribution given to 100 respondents. Website quality measurement is carried out using the webqual 4.0 method with 3 aspects assessed, namely Usability, Information Quality, and Service Interaction Quality. The purpose of this research is to determine the satisfaction value of Awicoffee website users and to determine the most significant instrument in determining  user satisfaction. Based on the research results, it was found that these three variables have an influence of 76.59% on user satisfaction, while 23.41% is influenced by variables that were not examined. Also, the variable that has the most significant impact on user satisfaction is Information Quality with a value of 5.97, whereas the Usability variable has a value of 3.42 and the Service Interaction Quality variable has a value of 3.30.
Pemanfaatan Dana Desa Untuk Meningkatkan Kesejahteraan Masyarakat Melalui Promosi Produk UMKM Menggunakan Collaborative Filtering Berbasis Android Siahaan, Agus Maringan; Robet; Jonathan Kevin Fernando; Donna Natalia
Bulletin of Computer Science Research Vol. 5 No. 1 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i1.377

Abstract

Utilizing village funds through Badan Usaha Milik Desa (BUMDes) is a strategic effort to improve the welfare of rural communities. However, its implementation often faces challenges such as suboptimal management of local economic potential and limited promotion of Micro, Small, and Medium Enterprises (MSMEs) products. This study aims to develop an Android-based application utilizing the Collaborative Filtering method as an innovative solution to support the promotion of village MSME products, enhance the effective use of village funds, and drive economic growth in rural areas. The application is designed to provide MSME product recommendations based on user preferences. Integrating the Collaborative Filtering method, the application analyzes user interaction data to offer relevant product suggestions. Its key features include product search, personalized recommendations, and a user-friendly interface that is easy for rural communities to operate. The black-box method testing results show that this application works according to the designed specifications with a system interface functional success rate of 100% of 31 functional interfaces. increased the promotion and sales of local MSME products.