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Gagasan Kebijakan Dukungan Pembangunan Pariwisata Bahari Di Pulau Pari, Kepulauan Seribu, DKI Jakarta Ahmad Prawira Dhahiyat; Fanny Kristiadhi; Nur Sakinah Junirahma; Shafira Bilqis Annida
TOBA: Journal of Tourism, Hospitality, and Destination Vol. 4 No. 1 (2025): Februari 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/toba.v4i1.4900

Abstract

Pari Island has stunning marine tourism potential, but an optimal policy is needed to support the development of tourism on Pari Island. The purpose of this study is to determine the implementation of tourism policies on Pari Island so that it can provide recommendations for future policy improvements in order to achieve the development of marine tourism development. The method used in this research is qualitative with a descriptive approach by conducting interviews with a number of tourists, and local people of Pari Island. The data obtained in this study are primary data through surveys and semi-structured interviews with tourists, tourism managers and local communities to tourists, tourism managers and local communities and secondary data obtained from previous research, as well as literature studies. The results of this study indicate that there is a need for synergy between the government, local communities, and the private sector in designing effective and sustainable policies by looking at the management of tourist destinations by the government, stakeholders, and the community, increasing tourism promotion marketing, welfare of the Pari Island community, law enforcement and supervision.
Pemanfaatan AI dalam Analisis Isi Digital : Studi Kasus Komentar Media Sosial Olih Solihin; Dwi Firmansyah; Ahmad Zakki Abdullah; Ahmad Prawira Dhahiyat
JURNAL PENDIDIKAN DAN ILMU SOSIAL (JUPENDIS) Vol. 3 No. 2 (2025): JURNAL PENDIDIKAN DAN ILMU SOSIAL
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jupendis.v3i2.3141

Abstract

In the digital era, social media has become a primary source of public opinion data that can be analyzed using artificial intelligence (AI). The utilization of AI, particularly in digital content analysis, enables researchers to extract information from social media comments more efficiently than conventional methods. This study aims to explore how AI is used in digital content analysis to understand communication patterns, sentiment, and discourse development on social media. The research employs a systematic analysis based on the PRISMA approach, filtering literature from academic databases such as Scopus, Web of Science, and Google Scholar. Additionally, this study analyzes social media comments using AI-based software, such as NVivo and other NLP tools. The findings reveal that AI enhances efficiency and accuracy in sentiment analysis, reduces subjective bias, and enables deeper insights into public opinion. However, key challenges identified include dataset bias and the interpretability of AI models. Therefore, the combination of Explainable AI and a multimodal approach in the future is expected to improve the effectiveness of AI-based sentiment analysis in digital communication.