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p-Index From 2021 - 2026
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All Journal IJID (International Journal on Informatics for Development) Journal of Economics, Management, Business And Accounting (JEMBA)
Angga Setiyadi
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Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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Culinary Business Recommendation Application Using Promethee-II Method Setiawan, Eko Budi; Ferdika Bayu Herlambang; Angga Setiyadi
IJID (International Journal on Informatics for Development) Vol. 11 No. 1 (2022): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3562

Abstract

This research discusses the application that can help determine consumer segmentation and provide recommendations for culinary business, including its selling price. The technology used in this research is a GPS sensor, Google API and JavaScript Object Notation. An Android-based mobile application platform uses GPS sensors to determine the new business location. This research used the Promethee-II method for the recommendation process, and it was based on certain criteria, particularly the factors influencing consumers to purchase. Five criteria were applied, and eight alternatives were calculated. The application was developed with the waterfall model. Based on the results of the alpha testing and user acceptance test, it is concluded that the application which was successfully built could provide prospective business makers with information regarding recommended types of culinary businesses including their selling price, recommended business location, and information about the consumer segmentation.
Pengembangan API Berbasis JSON pada Sistem Koperasi Berbasis Web Sutisnawati, Yayah; Mari Maryati; Angga Setiyadi
JEMBA Vol 5 No 2 (2025): Journal of Economics, Management, Business and Accounting
Publisher : Fakultas Ekonomi dan Bisnis Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jemba.v5i2.17750

Abstract

This study aims to utilize JSON as a medium for data synchronization technology in a web-based cooperative system through the integration of API development and support for membership module management. The research consists of seven stages, namely: Problem Formulation, Literature Review, Data Requirement Analysis, Script Analysis of the Existing Membership System, JSON Implementation in the Membership Module, Data Synchronization Testing with Other Applications, and Conclusion. Based on the implementation and testing results, it can be concluded that to address the challenges in developing new systems for centralized web-based cooperative savings and loan systems, an integration architecture based on APIs was developed. By using a file named index_api.php as an intermediary, member information can be accessed by other applications without direct connection to the main database. The data exchange technology utilizes the JSON (JavaScript Object Notation) format due to its lightweight nature, readability, and compatibility across various platforms. This approach provides an effective solution as it enables the development of additional applications in a more flexible, secure, and structured manner without disrupting the existing core system. The integration through APIs and JSON technology opens up opportunities for broader, more efficient, and sustainable cooperative system development in the future
Culinary Business Recommendation Application Using Promethee-II Method Eko Budi Setiawan; Ferdika Bayu Herlambang; Angga Setiyadi
IJID (International Journal on Informatics for Development) Vol. 11 No. 1 (2022): IJID June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2022.3562

Abstract

This research discusses the application that can help determine consumer segmentation and provide recommendations for culinary business, including its selling price. The technology used in this research is a GPS sensor, Google API and JavaScript Object Notation. An Android-based mobile application platform uses GPS sensors to determine the new business location. This research used the Promethee-II method for the recommendation process, and it was based on certain criteria, particularly the factors influencing consumers to purchase. Five criteria were applied, and eight alternatives were calculated. The application was developed with the waterfall model. Based on the results of the alpha testing and user acceptance test, it is concluded that the application which was successfully built could provide prospective business makers with information regarding recommended types of culinary businesses including their selling price, recommended business location, and information about the consumer segmentation.
Co-Authors Eko Budi Setiawan Eko Budi Setiawan Ferdika Bayu Herlambang Mari Maryati Sutisnawati, Yayah