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All Journal Prosiding Seminar Nasional Teknologi Informasi dan Bisnis
Lucky Marsella
Universitas Duta Bangsa Surakarta
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Physics

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Analisis Manajemen Risiko Dampak Penggunaan Aplikasi TikTok pada Gen Z Randis Wahyuni; Lucky Marsella; Lindha Juniarta Suseno; Miftahul Hasanah
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2023
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

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Abstract

TikTok is one of the most popular social media among teenagers, especially Generation Z. By having many advantages and attractive features, using Tiktok also has several impacts or risks that need to be managed properly. This study aims to analyze the risk management impact of using the TikTok application on Generation Z. The research method used is a literature study, online surveys and implementing five steps of risk management, namely; a) Avoidance, b) Retention, c) Sharing, d) Transferring, e) Loss Prevention and Reduction . The survey results show that most of the respondents are aware of potential risks in using the application. The identified risks include data privacy, cyberbullying, digital dependency, negative content, and copyright infringement. To overcome this, companies that own applications must strengthen their security systems and improve content filters so that they do not contain negative or dangerous elements for their users. In addition, parents must also be more proactive in escorting their children when using social media such as Tiktok and actively educate them about the dangers of using it.
Memprediksi Kenaikan Jumlah Penumpang Kereta Api Menggunakan Metode Regresi Linier Dengan Pemrograman Python Lucky Marsella; Nurmalitasari Nurmalitasari
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2023
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

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Abstract

Penggunaan angkutan umum sangat bermanfaat bagi pemerintah untuk mengatasi masalah kemacetan lalu lintas yang merupakan masalah umum di Indonesia. Contoh angkutan umum yang disukai penduduk adalah kereta api. Tujuan dari penelitian ini adalah memprediksi laju pertumbuhan jumlah penumpang kereta api. Penelitian ini juga menggunakan metode regresi linier dengan menggunakan bahasa pemrograman Python. Data yang diambil dari website Badan Pusat Statistika (BPS) pada tahun 2022 mulai bulan Januari hingga Desember.
Co-Authors Lindha Juniarta Suseno Miftahul Hasanah Nurmalitasari Nurmalitasari Randis Wahyuni