Ditemukan 2 dokumen yang sesuai dengan query
Yuvitri Annisa Dwityafani
"Pengungkapan informasi pribadi atau self-disclosure adalah proses komunikasi yang berfungsi untuk mengungkapkan diri maupun informasi pribadi kepada orang lain. LinkedIn merupakan tempat untuk membangun presentasi diri yang diperoleh dari data profil yang dilengkapi pada LinkedIn. Penelitian ini bertujuan untuk menganalisis pengaruh faktor-faktor perceived benefits, privacy concern, trust in LinkedIn members dan provider, perceived control, privacy awareness, perceived likelihood, dan perceived severity terhadap perilaku self-disclosure pengguna LinkedIn. Penelitian ini menggunakan kerangka teori privacy calculus dan perluasan faktor kepercayaan. Penelitian ini menggunakan pendekatan kuantitatif dengan mendapatkan 661 responden yang disebarkan melalui kuesioner online. Penelitian ini menggunakan metode Covariance Based Structural Equation Modelling (CB-SEM) dengan bantuan software AMOS 24.0. Hasil analisis data menunjukkan bahwa faktor yang mempengaruhi pengguna untuk mengungkapkan informasi profesionalnya pada LinkedIn di Indonesia adalah perceived benefits yang terdiri dari
self-presentation, career advancement, developing professional network, learning and exchange information, privacy concern, perceived likelihood, perceived severity, trust in LinkedIn member dan perceived control.
Disclosing personal information or self-disclosure is a communication process that functions to reveal the self and personal information to others. LinkedIn is a place to build self-presentation obtained from profile data on LinkedIn. This study aims to analyze the influence of the factors perceived benefits, privacy concerns, trust in LinkedIn members and providers, perceived control, privacy awareness, perceived likelihood, and perceived severity on the self-disclosure behavior of LinkedIn users. This study uses a privacy calculus theoretical framework and an expansion of trust factors. This research uses a quantitative approach by collecting 661 respondent data through a questionnaire distributed online. This study using the Covariance Based Structural Equation Modeling (CB-SEM) method with AMOS 24.0 software. The results of this study show the factors that influence LinkedIn users to disclose professional information on LinkedIn in Indonesia are perceived benefits consisting of self-presentation, career advancement, developing professional networks, learning and exchange information, privacy concerns, perceived likelihood, perceived severity, trust in Linkedin members and perceived control."
Depok: Fakultas Ilmu Komputer Universitas Indonesia , 2020
S-pdf
UI - Skripsi Membership Universitas Indonesia Library
Adyanissa Farsya Kirana
"Donasi online kini semakin marak di Indonesia, terutama pada platform galang dana (crowdfunding). Seiring dengan bertambahnya pengguna pada platform tersebut, banyak pula kasus-kasus yang melibatkan kepercayaan pengguna terhadap platform crowdfunding. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang memengaruhi kepercayaan dan ketidakpercayaan seseorang terhadap platform crowdfunding, dan pengaruhnya terhadap sikap dan intensi perilaku donasi online. Penelitian ini mengkaji lebih dalam mengenai behavioral intention untuk berdonasi dan konsep trust and distrust. Pengumpulan data dilakukan dengan metode survei dengan melibatkan 865 responden Indonesia melalui kuesioner online pada media sosial. Data responden diolah dan dianalisis menggunakan metode Partial Least Square – Structural Equation Modeling (PLS-SEM). Hasil penelitian ini menunjukkan bahwa aspek kualitas seperti system quality dan information quality dan aspek mekanisme institusi seperti perceived platform rules dan perceived monitoring memengaruhi kepercayaan dan ketidakpercayaan terhadap platform. Kepercayaan dan ketidakpercayaan terhadap platform berpengaruh secara signifikan terhadap sikap dan intensi seseorang dalam melakukan donasi online.
The amount of online donations has been increasing in Indonesia, especially in the online crowdfunding platform. Along with the increasing number of users, there are also many cases involving user trust in the platform. This study aims to explore factors that influence trust and distrust in the platform and their influence on attitude and online donation intention. This study focuses on behavioral intention in the online donation and the concept of trust and distrust. 865 Indonesian respondent data collected using an online survey through social media and analyzed using Partial Least Square – Structural Equation Modeling (PLS). This study indicates that quality aspects such as system quality and information quality and institutional mechanism aspects such as perceived platform rules and perceived monitoring influence trust and distrust in the platform. Trust and distrust in platform influence attitude towards donation and online donation intention significantly."
Depok: Fakultas Ilmu Kompter Universitas Indonesia, 2020
S-pdf
UI - Skripsi Membership Universitas Indonesia Library
