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ANALISIS PERAN STAKEHOLDER PEMERINTAH DAERAH DALAM STRATEGI KOMUNIKASI CITY BRANDING: “PONOROGO ETHNIC ART OF JAVA” Setiawan, Veri; Nurhana Marantika; Mohammad Abdul Hamid Alfarizi Al Ma'arif Nur
Jurnal Penelitian Ilmiah INTAJ Vol. 8 No. 2 (2024): middle path
Publisher : LP3M IAI Al-Qolam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35897/intaj.v8i2.1693

Abstract

Ponorogo Regency is one of Indonesia's cities rich in Javanese ethnic culture and art. One aspect that becomes potential in City branding Ponorogo is the tagline "Ethnic Art of Java", which reflects the richness of traditional Javanese culture and art in this city. This study aims to determine the role of local government stakeholders of Ponorogo Regency in communicating the city branding of Ponorogo Regency “Ethnic Art of Java". This research is qualitative descriptive method research with a case study approach. The results of this study show that Ponorogo city branding communication uses three communication channels: Primary Communication, Secondary Communication, and Tertiary Communication. The implementation of Primary Communication city branding of Ponorogo Regency can be seen in the addition of tourist attractions in Ponorogo Regency, improving road access to tourism in Ponorogo Regency, and forming a “Ponorogo Creative Team”. The application of Secondary Communication city branding for Ponorogo Regency can be seen in tourism marketing by making a calendar of Ponorogo Regency activities, installing promotional tools in various places, making various media relations, and making logo designs on several Ponorogo Regency activities. The implementation of Tertiary Communication for Ponorogo Regency "Ethnic Art of Java" can be observed by strengthening the media by evaluating publications every month, creating a social media monitoring system, and participating in the Ponorogo community in every Ponorogo Regency event.
PENERAPAN WESTCLASS UNTUK ANALISIS SENTIMEN KEBIJAKAN PPN 12% BERBASIS DATA MEDIA SOSIAL X Waliuddin, Muhammad Shidiq; Oddy Virgantara Putra; Triana Harmini; Nurhana Marantika
Prosiding Seminar Nasional Sains dan Teknologi Vol. 15 No. 1 (2025): Prosiding SNST 15 Tahun 2025
Publisher : Fakultas Teknik Universitas Wahid Hasyim

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36499/psnst.v15i1.14863

Abstract

The increase in Value Added Tax (VAT) to 12% elicited a broad public response on platform X, necessitating sentiment analysis to understand public perception. However, the predominance of unlabeled data makes the supervised learning approach less than optimal. This study applies WeSTClass as a weakly supervised learning method by utilizing seed words and pseudo-documents based on the von Mises–Fisher (vMF) distribution to build initial representations without requiring a large amount of labeled data. The research data consists of 13,962 tweets related to the 12% VAT issue, with 2,980 data points manually labeled by an expert. The pseudo-document generation process resulted in 150 pseudo-documents that enrich the semantic distribution of each sentiment class. A CNN model was used as the main classifier, trained through pre-training and self-training stages based on high-confidence pseudo-labels. The evaluation results showed that CNN provided the best performance with an accuracy of 0.83 and an F1-Macro of 0.72, outperforming BiLSTM and SVM. These findings indicate that the weak supervision approach through WeSTClass is effective in overcoming the limitations of labeled data and improving model stability in social media-based sentiment analysis. Kata kunci: Analisis Sentimen, CNN, PPN 12%, Pseudo-Document, WeSTClass