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All Journal SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal CoreIT SINTECH (Science and Information Technology) Journal International Journal of New Media Technology Jurnal ULTIMA InfoSys Jurnal ULTIMATICS Jurnal ULTIMA Computing IJID (International Journal on Informatics for Development) Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Eko Budi Setiawan
Universitas Komputer Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Other

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Song Recommendation Application Using Speech Emotion Recognition Eko Budi Setiawan; Al Ghani Iqbal Dzulfiqar
IJID (International Journal on Informatics for Development) Vol. 10 No. 1 (2021): 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.2021.2354

Abstract

This research was conducted to facilitate the interaction between radio broadcasters and radio listeners during the song request process.  This research was triggered by the difficulty of the broadcasters in monitoring song requests from listeners. The system is made to accommodate all song requests by listeners. The application produced in this study uses speech emotion recognition technology based on a person's mood obtained from the spoken words.  This technology can change the voice into one of the mood categories: neutral, angry, sad, and afraid.  The k-Nearest Neighbor method is used to get recommendations for recommended song titles by looking for the closeness of the value between the listener's mood and the availability of song playlists. kNN is used because this method is suitable for user-based collaborative problems. kNN will recommend three songs which then be offered to listeners by broadcasters. Based on tests conducted to the broadcasters and radio listeners, this study has produced a song request application by recommending song titles according to the listener's mood,  the text message, the searching songs, and the song requests and the song details that have been requested. Functional test that has been carried out has received 100 because all test components have succeeded as expected.
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.
Implementation of Digital Invitation by Utilizing Grapes.js for Invitation Design and QR Scanner for Attendance Tracking Ristian Aditya; Eko Budi Setiawan
Jurnal CoreIT: Jurnal Hasil Penelitian Ilmu Komputer dan Teknologi Informasi Vol. 11 No. 2 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi, Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to help people manage and organize event invitations by using digital invitations. Many digital invitation platforms still need to improve, especially in design customization and guest attendance recording. Based on interviews with 17 respondents aged 20-30, 70% have used digital invitations before. Still, they feel the existing system could be more optimal in processing attendance and customizing designs according to preferences. Meanwhile, 30% of respondents who have never used digital invitations stated that they are still more comfortable with printed invitations due to their lack of understanding of digital invitation technology and the features it offers. To overcome this problem, this research proposes the development of a digital invitation application that not only supports the creation and distribution of invitations but also features online payment through Midtrans and QR scanners to record attendance more efficiently and use the application. The test results show that 95% of respondents feel that the application speeds up the creation and distribution of invitations, 87% find it helpful with the design customization feature, 96% strongly agree that the attendance confirmation feature makes it easier to manage guests, and 97% state that the payment process through the application is easy to do.
Co-Authors Al Ghani Iqbal Dzulfiqar Angga Setiyadi Angga Setiyadi Angga Try Ramdany Bagus Setiadi Diki Hermawan Endang Tirtana Fajri Auliardi Ferdika Bayu Herlambang Hadi Nurdin Hadi Pranoto Iqbal Dzulfiqar, Al Ghani Joko Priono Muhammad Yasin Tahir Nandi Syukri Nawan Tutu Syah Lampah Rahma Wahdiniwaty Risa Herdianto Ristian Aditya Sahara Syarifatul Choeriyah Sony Heri Maulana Surawijaya Surahman Wahab, Deden A Wahyu Saputra Wildan Agung Prakoso