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All Journal Procedia of Social Sciences and Humanities
Yekti Asmoro Kanthi
STIKI Malang, Indonesia
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Social Sciences

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An Android-Based User Recommendation System for Social Network Platform Using Collaborative Filtering Method on Youth Break the Boundaries Foundation: Sistem Rekomendasi Pengguna Aplikasi Jejaring Sosial Berbasis Android dengan Algoritma Cosine Similarity pada Youth Break the Boundaries Foundation Suhendra; Yekti Asmoro Kanthi; Arif Tirtana
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.156

Abstract

The popularity of social networking services has been increasing in recent years. Hundreds of millions of active users can pose a risk of information overload. These popular services have recommender systems that can capture user interests and provide users with potentially interesting information. It is different from the relatively new Youth Break the Boundaries (YBB) social networking application, it does not yet have complete features, let alone a complex recommender system which causes user interest in using the application is low. Implementing this system on the YBB application will affect the flow of the existing system so that a comprehensive update is needed. The development uses the cosine similarity algorithm on the application search page. It is proven to be able to provide recommendations for users with an accuracy rate of 0.92. With this system, users are helped in expanding their network with other users who have the same interests.
Analysis Of The Application Of The UTAUT Model In Understanding The Acceptance And Use Of OVO Applications In Malang City: Analisis Penerapan Model UTAUT Dalam Memahami Penerimaan dan Penggunaan Aplikasi OVO di Kota Malang Yekti Asmoro Kanthi; Arif Tirtana; Muhadi Aan Sulistiyo
Procedia of Social Sciences and Humanities Vol. 3 (2022): Proceedings of the 1st SENARA 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pssh.v3i.186

Abstract

This study aims to analyze the acceptance and use of OVO applications in Malang City. This study uses the Unified Theory of Acceptance and Use of Technology (UTAUT) Model to explain the acceptance of OVO applications. The constructs used are 4 independent varabels (performance expectancy, effort expectancy, social influence, facilitating conditions) and 1 dependent variabel (behavioral intention). The type of data used is primary data that has been obtained through questionnaires. Sampling using a non-probability technique with aapproach purposive sampling with the criteria used more than 3 times. The number of samples is 100 samples. From the respondent's data obtained were analyzed using multiple regression analysis techniques. Data management is assisted by using the SmartPLS v.3.3.2 software. Based on the data analysis, it can be concluded that: (1) performance expectancy have a positive effect on behavioral intention; (2) effort expectancy have a positive effect on behavioral intention; (3) social influence has aeffect positive on behavioral intention; (4) facilitating conditions have no effect on behavioral intention.
Co-Authors Arif Tirtana Muhadi Aan Sulistiyo Suhendra