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All Journal Jurnal Buana Informatika POSITIF Proceeding of the Electrical Engineering Computer Science and Informatics INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Pilar Nusa Mandiri Konvergensi Jurnal Sisfokom (Sistem Informasi dan Komputer) Energy : Jurnal Ilmiah Ilmu-Ilmu Teknik Journal of Information Systems and Informatics International Journal of Engagement and Empowerment (IJE2) Jurnal Minfo Polgan (JMP) Jurnal Informatika Teknologi dan Sains (Jinteks)
Aang Kisnu Darmawan
Universitas Islam Madura
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Journal : Journal of Information Systems and Informatics

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TESTING OF TECHNOLOGY ACCEPTANCE MODEL ON E-LEARNING BASED EDMODO FRAMEWORK: A PERSPECTIVE OF STUDENTS PERCEPTION Aang Kisnu Darmawan; Nur Umamah
Journal of Information System and Informatics Vol 1 No 1 (2019): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/journalisi.v1i1.3

Abstract

E-learning is the application of Information and Multimedia Technology in the field of Education which is currently the main trend in the learning process in the classroom. E-learning is currently designed by integrating the learning process using features in social media so as to facilitate the interaction of teachers and students that are expected to improve the efficiency and effectiveness of classroom learning. However, in practice there are still few teachers, educators and students who can apply e-learning well, because they think that the application of e-learning is difficult to implement in classroom learning. Edmodo is one of the most used e-learning framework because of its ease in its application. This study aims to measure the level of student acceptance of the application of edmodo-based e-learning by using the Technology Acceptance Model (TAM). The method used uses the survey method for 160 upper secondary students. Data analysis was performed using Structural Equation Modeling (SEM) with the help of AMOS 24 software. The results showed that the application of Edmodo-based e-learning had a positive and significant effect on students' motivation and learning outcomes in the classroom.
Hoax News Analysis for the Indonesian National Capital Relocation Public Policy with the Support Vector Machine and Random Forest Algorithms Aang Kisnu Darmawan; Mohammad Waail Al Wajieh; Mohammad Bhanu Setyawan; Tri Yandi; Hoiriyah Hoiriyah
Journal of Information System and Informatics Vol 5 No 1 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i1.438

Abstract

The decision of the Indonesian government to relocate the nation's capital outside Java to the North Penajam Paser Regency has sparked controversy and misinformation on social media platforms. While sentiment analysis studies have been conducted on this topic, no research has yet analyzed the issue of hoaxes related to the relocation of the national capital. This study aims to fill this gap by analyzing hoaxes related to the relocation of the Indonesian national capital on Twitter. The study utilizes data crawling, filtering with Hoax Booster Tools (HBT) ASE, data labeling, preprocessing, and TF-IDF weighting. The data is then classified using Support Vector Machine (SVM) and Random Forest (RF) algorithms, and the results of both algorithms are compared. The study found that 85% of tweets had a positive sentiment and 15% had a negative sentiment. Furthermore, the SVM algorithm outperformed the RF algorithm with an accuracy of 95.24% compared to 86.90%. This study contributes to the understanding of the hoax issues related to the relocation of the Indonesian state capital and provides recommendations for government policies to address community concerns.
Co-Authors Agus Hermanto Anekawati, Anik Anwari . Anwari Anwari Anwari, Anwari Arisandi Dwi Harto Bakir Busro Umam Daniel Oranova Siahaan Daryanto, Eko Dwi Kartony Abdul Jalil Dwiharto, Arisandi Efenie, Yuri Harto, Arisandi Dwi Hoiriyah Hoiriyah Hoiriyah Hoiriyah, . Hoiriyah, Hoiriyah Hoiriyah, Hoiriyah Hozairi Imam Arifin Ismiyati Iwan Santosa Kartini Kartini Mardiana, Helva Masdukil Makruf, Masdukil Mohammad Bhanu Setyawan Mohammad Waail Al Wajieh Muhammad Agus Muljanto Muhsi Muqaddas, Zaiful Nur Umamah Qomariya, Nurul Ronny Mardiyanto, Ronny Salman Alfarisi Setijadi, Eko Tony Dwi Susanto Tri Yandi Umam, Busro Umam, Busro Akramul Usman Abrori Walid, Miftahul Wrahatnala, Ery Sadewa Yudha