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All Journal Islamic Management: Jurnal Manajemen Pendidikan Islam Building of Informatics, Technology and Science Jurnal Educatio FKIP UNMA Jurnal Ilmiah Mahasiswa Raushan Fikr Jurnal Pengabdian Masyarakat dan Penelitian Thawalib Jurnal Karya Abdi Masyarakat Jurnal Hasil Inovasi Masyarakat (JHIM) Journal of Rural Tourism (JoRT)
Gozali, Gozali
Unknown Affiliation
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Congratulation letter for launching Journal of Rural Tourism Gozali, Gozali
Journal of Rural Tourism Vol. 1 No. 1 (2024): January - June
Publisher : Borneo Novelty Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70310/wb2ev850

Abstract

I would like to express my sincere congratulations to you on the publication of the first edition of the new journal Journal of Rural Tourism. I believe that this journal represents a significant and timely contribution to the scientific literature in a field that, while growing rapidly in importance, remains underrepresented in academic discourse. Rural tourism is increasingly recognized as a vital driver of sustainable development, cultural preservation, and economic diversification in many parts of the world. In numerous countries, rural areas are no longer seen solely as agricultural zones, but as vibrant destinations that offer unique cultural experiences, natural beauty, and a slower, more mindful pace of life, qualities that are becoming ever more sought after in our fast-paced global society. A defining characteristic of rural tourism is its deep connection with local communities, traditions, and landscapes. It offers a window into ways of life that are often overlooked or undervalued, while also fostering appreciation and respect for regional identities. The challenge and opportunity lie in developing this form of tourism in ways that are both economically beneficial and culturally sensitive. Importantly, rural tourism is not just about destination marketing, it encompasses complex issues such as land use, community empowerment, heritage preservation, and environmental stewardship. These multifaceted themes deserve careful, interdisciplinary exploration, and I am confident that this journal will serve as a crucial platform for such dialogue. The Journal of Rural Tourism will undoubtedly provide valuable insights into the diverse dimensions of rural tourism and help guide both academic research and practical development strategies. It has the potential to shape a more inclusive and sustainable tourism narrative, one that centers the voices and experiences of rural communities worldwide. I wish the journal every success and look forward to its growth and continued contributions to this important field.
Analisis Sentimen Rencana Penerapan Cukai Pada Minuman Manis Kemasan Menggunakan Algoritma Naive Bayes dan Logistic Regression Gozali, Gozali; Baihaqi, Kiki Ahmad; Sukmawati, Cici Emilia; Wahiddin, Deden
Building of Informatics, Technology and Science (BITS) Vol 7 No 1 (2025): June (2025)
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i1.7411

Abstract

The plan to impose excise tax on packaged sweetened beverages (PSB) is proposed as a strategic measure to reduce sugar consumption among the public. This policy has elicited various responses from society, especially on social media platforms such as TikTok. The purpose of this study is to evaluate public sentiment towards the PSB excise tax policy by analyzing comments posted on the TikTok platform, comparing the performance of the Naive Bayes and Logistic Regression algorithms. Data were collected from comments on news videos about the implementation of the excise tax on PSB posted by official journalist accounts on TikTok, using the TikTok Comments Scraper available on the apipy website, resulting in 1,332 comments. The data were processed through preprocessing steps including text cleaning, tokenization, stemming, and word weighting using TF-IDF. After expert sentiment labeling, the data were then split into training and testing sets with an 80:20 ratio. Evaluation was conducted using a confusion matrix to obtain performance metrics such as accuracy, precision, recall, and F1-score for each model. The analysis revealed that negative comments dominated at 65.2%, while positive comments accounted for 34.8%. The Logistic Regression algorithm achieved an accuracy of 81.37%, precision of 86.22%, recall of 75.14%, and an F1-score of 77.06%. Meanwhile, the Naive Bayes algorithm obtained an accuracy of 79.85%, precision of 82.19%, recall of 74.17%, and an F1-score of 75.76%. It can be concluded that the majority of TikTok users still express negative responses to the PSB excise tax policy, and the Logistic Regression algorithm demonstrates superior performance in sentiment classification compared to the Naive Bayes algorithm.
Co-Authors Adang Hambali Amrullah, Aceng Apriyanto, Yusup Ara Hidayat, Ara Badrudin Baihaqi, Kiki Ahmad Bambang Jati Kusuma, Bambang Jati Handoko, Tri Akbar Hasan Basri Hendrie Adjie Kusworo Imam Sibaweh Jaja Jahari, Jaja Madyaningrum, Ika Ristiyani Mahsun Mahsun Mohamad Erihadiana, Mohamad Mutaqin, Ahmad Hadis Zenal Pahmi, Syamsul Setiabudi, Dede Indra Sibaweh, Imam Subur Mulyanto, Subur Sukmawati, Cici Emilia Sunarno Sunarno Syahrul Karim, Syahrul Tatag Yufitra Rus Wahiddin, Deden Wibawaning, Sara Yuliyanto, Adhi Zulkarnain Zulkarnain Zulkifali, Wan Ahmad Hasni Wan