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All Journal JURNAL SISTEM INFORMASI BISNIS International Journal of Artificial Intelligence Research Jurnal Penelitian Pendidikan IPA (JPPIPA) Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Abdimas Indonesia : Jurnal Abdimas Indonesia Indonesian Community Journal Journal of Vocational Education and Information Technology (JVEIT) Eduvest - Journal of Universal Studies Jurnal Pengabdian Ibnu Sina Jurnal Pengabdian Barelang Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Ilmu Siber dan Teknologi Digital
John Friadi
Fakultas Teknik, Jurusan Sistem Informasi, Universitas Batam
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Other

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Analisis Sentimen Ulasan Wisatawan Terhadap Alun-Alun Kota Batam: Perbandingan Kinerja Metode Naive Bayes dan Support Vector Machine Friadi, John; Kurniawan, Dwi Ely
Jurnal Sistem Informasi Bisnis Vol 14, No 4 (2024): Volume 14 Nomor 4 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss4pp403-407

Abstract

Batam City, as a rapidly developing tourism destination in Indonesia, continues to strive to enhance the potential of its tourist attractions to attract more visitors. The assessment of reviews from tourists is crucial in identifying necessary development measures to improve the quality of tourist attractions. This research aims to analyze the sentiment of reviews for the Alun-Alun Kota Batam tourist destination by leveraging data from Google Maps. Two classification methods, Naive Bayes and Support Vector Machine, are employed for sentiment analysis, and their performances are compared. From 1140 collected reviews, the data is categorized into three labels: positive, negative, and neutral. The research results indicate that the Support Vector Machine method achieves higher accuracy (94%) compared to Naive Bayes (83%). This study contributes insights into visitor sentiments towards Alun-Alun Kota Batam, with implications for policy development and more effective actions in enhancing local tourism appeal.
Pelatihan Desain Grafis Informatif Menggunakan Canva untuk Meningkatkan Kreativitas dan Kompetensi Siswa SMK John Friadi; Dodi Putra Yani; Suroto Suroto; Ahmad Fuad; M. Fitrah Risky Prasetya
Jurnal Abdimas Indonesia Vol. 4 No. 2 (2024): April-Juni 2024
Publisher : Perkumpulan Dosen Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53769/jai.v4i2.660

Abstract

Dengan perkembangan dan kemajuan teknologi dapat membantu mendukung kreativitas dan meningkat kompetensi siswa sekolah menengah kejuruan, salah satunya adalah dengan pelatihan desain grafis sehingga siswa mampu menghasilkan karya yang bermanfaat. Tujuan kegiatan pengabdian masyarakat ini adalah untuk mengarahkan siswa ke arah kegiatan yang positif, mendukung kreativitas dan meningkatkan kompetensi siswa dengan dalam bidang desain grafis informatif. Pelaksanaan kegiatan pengabdian kepada masyarakat dilaksanakan dengan memberikan pelatihan kepada siswa sekolah menengah kejuruan SMKN 7 Kota Batam pada jurusan multimedia, rekayasa perangkat lunak dan teknik komputer jaringan (X Learning) tentang pemahaman dasar-dasar teknik dan pembuatan desain grafis informatif dengan menggunakan perangkat lunak Canva yang dilaksanakan mulai dari persiapan, survei, pelaksanaan dan pembuatan laporan. Pelatihan desain grafis informatif yang dilakukan sangat bermanfaat untuk mendukung kreativitas dan meningkatkan kompetensi dan inovatif serta berpikir kreatif siswa searah dengan model pembelajaran di era industri 4.0.
E-Learning Evaluation Based on Context, Input, Process, and Product (CIPP) John Friadi; Asro; Arina Luthfini Lubis; Dodi P. Yani; Suroto; Ansyar Bora; Alfiyandri
Jurnal Penelitian Pendidikan IPA Vol 10 No SpecialIssue (2024): Science Education, Ecotourism, Health Science
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10iSpecialIssue.7383

Abstract

The development of internet-based information technology has had an impact on many aspects of human life, including education. Online learning is made possible by the learning paradigm in the industrial era 4.0. During the COVID-19 pandemic, many universities implemented online learning methods using E-Learning, in line with government recommendations to implement health protocols to break the chain of the COVID-19 virus, such as wearing masks, washing hands and maintaining distance. The Faculty of Engineering, Batam University has used e-learning for learning during the pandemic and continues after the pandemic, but its implementation has never been evaluated. The aim of this research is to assess the context, input, process and product (CIPP) of e-learning at the Faculty of Engineering, Batam University. This research uses a quantitative and qualitative approach (mixed research) by distributing questionnaires to lecturers and students of study programs within the Faculty of Engineering, Batam University. Based on research conducted by evaluating E-Learning from the context aspect, both lecturers and students gave very good responses so it needs to be maintained. Furthermore, from the input aspect it provides a very good response, therefore it needs to be maintained and improved. The response from lecturers for the process aspect is in the very good category, while the response from students is in the good category, so the process element needs to be improved. Assessment of the product aspect shows that E-Learning at the Faculty of Engineering, Batam University must be improved.
Co-Authors Abdul Halim Husnul Ahmad Fuad Alex Sandri Sikumbang Alexsandri Sikumbang Alfiyandri Angelina E. Rumengan Anjani, Arum Dwi Asro Devy Lestari Nurul Aulia Diana Titik Windayati Dodi P. Yani Dodi P. Yani Dodi Putra Yani Dodi Putra Yani Dodi Putra Yani Dodi. P Yani Dwi Ely Kurniawan Eisyaniah Desvazulinda Elly Rumengan Fendi Hidayat Lubis, Arina Luthfini M. Ansyar Bora M. Fitrah Risky Prasetya Muhammad Zaid Nurhatisyah Nurhatisyah Safarudin, Muhamad Sigid Sarmini Sarmini Sarmini Suroto Suroto Suroto Suroto Suroto Windayati, Diana Titik