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Analisis Kluster Terpaan Selektif Dalam Jaringan Informasi Vaksin Covid-19 Di Twitter Fadlih Awwal Hasanuddin; Muh. Akbar; Muhammad Farid
Aksara: Jurnal Ilmu Pendidikan Nonformal Vol 8, No 1 (2022): January 2022
Publisher : Magister Pendidikan Nonformal Pascasarjana Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/aksara.8.1.713-732.2022

Abstract

Tujuan penelitian ini adalah untuk mengedintifikasi kluster yang terbentuk dalam jaringan twiter terkait dengan topik-topik vaksin covis-19. Penelitian ini menggunakan pendekatan kuantitatif dengan analisis jaringan sosial dengan metode kluster terpaan selektif. Populasi penelitian ini adalah penggunan jaringan sosial twiter dengan kata kunci “vaksin covid-19’ sebagai sampel kluster. Data dikumpulkan dengan menggunakan aplikasi NodeXL. Data dianalisis dengan cara pengelompokan berdasarkan kluster algoritma Clauset-Newman-Moore dengan cara menghitung seluruh jaringan pengguna, tingkat hub dalam kluster, pengelompokan dalam jaringan, menetukan jaringan twiter tertinggi. Hasil penelitian menunjukkan bahwa akun-akun resmi pemerintah, tokoh politik, dan media massa secara bersamaan muncul pada seluruh kumpulan data sehingga mereka membentuk kluster secara konsisten mendukung keberhasilan program vaksinasi nasional.
Analisis Perbandingan Fungsionalitas dan Keluwesan antara Perplexity dan Phind.Com dalam Memenuhi Kebutuhan Belajar Mahasiswa di Lingkungan Perguruan Tinggi Nurfadilah Syafiuddin; Andi Alimuddin Unde; Muh. Akbar
Jurnal Syntax Admiration Vol. 5 No. 6 (2024): Jurnal Syntax Admiration
Publisher : Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/jsa.v5i6.1185

Abstract

This study aims to analyze the comparison of functionality and flexibility between Perplexity and Phind.com in meeting student communication needs in a university environment. In an increasingly advanced digital era, the use of artificial intelligence-based applications is very important to support the learning process and student communication. Perplexity is known for its fast and accurate search capabilities while Phind.com superior personalization and flexibility in the delivery of information. This research uses a mixture of qualitative and quantitative data collection and analysis methods. A survey was conducted among 200 students and semi-structured interviews were also conducted among 10 students at Hasanuddin University who had used the Perplexity application and Phind.com. Data collection techniques used in this research are questionnaires, interviews with informants who are considered competent and in accordance with the topics discussed. The results of this research show that Perplexity and Phind.com. has different functionality and flexibility in meeting student learning needs. In the case of researchers, Perplexity excels at providing access to quality and diverse learning materials and features that support independent learning. Meanwhile, Phind.com excels in providing an active discussion forum and learning community, as well as features that support collaboration and interaction between students. Both applications have their own advantages and disadvantages. The right application for students depends on their individual learning needs and learning style.