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All Journal Open Access Indonesia Journal of Social Sciences Open Access Indonesia Journal of Social Sciences Jurnal Ilmu Pendidikan dan Kearifan Lokal (JIPKL)
Arief Tirtana
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Humanities Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences

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Analysis of Gojek's Brand Perception Utilizing Twitter Hashtag: Sentiment Analysis Using Ekman's Classification Wahyudi, Aditio; Arief Tirtana; Lady Diana Langoy
Open Access Indonesia Journal of Social Sciences Vol. 6 No. 2 (2023): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.609 KB) | DOI: 10.37275/oaijss.v6i2.153

Abstract

Advertisers constantly try to use different communication channels to approach consumers more effectively and promptly and increase their products' visibility and attractiveness. Gojek, an Indonesian ride-hailing and delivery company, uses hashtags as part of its marketing strategy on social media platforms such as Twitter and Instagram. This research aimed to analyze Gojek's brand perception using the Twitter hashtag. This research uses descriptive analysis and sentiment analysis using Ekman's classification of emotional expression algorithm. This research analyzed 813 tweets containing hashtags related to Gojek, an Indonesian ride-hailing and delivery company, including #AmanBersamaGojek, #Cerdikiawan, #JalanTerus, #PastiAdaJalan, and #SebelumGojek, to understand the sentiment and emotional tone of the tweets. Using Ekman's classification method for identifying and categorizing emotional expressions, the analysis found that the tweets were predominantly positive in sentiment, with surprise and joy being the most frequently expressed emotions. However, the research also identified a range of other emotions expressed in the tweets, including fear, sadness, disgust, and anger, indicating that Twitter users may have more complex and nuanced attitudes toward Gojek and its hashtags. In conclusion, Gojek may consider conducting additional research and implementing strategies to address negative emotions and better engage with its audience on social media to improve its brand perception on Twitter.
Analysis of Gojek's Brand Perception Utilizing Twitter Hashtag: Sentiment Analysis Using Ekman's Classification Wahyudi, Aditio; Arief Tirtana; Lady Diana Langoy
Open Access Indonesia Journal of Social Sciences Vol. 6 No. 2 (2023): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v6i2.153

Abstract

Advertisers constantly try to use different communication channels to approach consumers more effectively and promptly and increase their products' visibility and attractiveness. Gojek, an Indonesian ride-hailing and delivery company, uses hashtags as part of its marketing strategy on social media platforms such as Twitter and Instagram. This research aimed to analyze Gojek's brand perception using the Twitter hashtag. This research uses descriptive analysis and sentiment analysis using Ekman's classification of emotional expression algorithm. This research analyzed 813 tweets containing hashtags related to Gojek, an Indonesian ride-hailing and delivery company, including #AmanBersamaGojek, #Cerdikiawan, #JalanTerus, #PastiAdaJalan, and #SebelumGojek, to understand the sentiment and emotional tone of the tweets. Using Ekman's classification method for identifying and categorizing emotional expressions, the analysis found that the tweets were predominantly positive in sentiment, with surprise and joy being the most frequently expressed emotions. However, the research also identified a range of other emotions expressed in the tweets, including fear, sadness, disgust, and anger, indicating that Twitter users may have more complex and nuanced attitudes toward Gojek and its hashtags. In conclusion, Gojek may consider conducting additional research and implementing strategies to address negative emotions and better engage with its audience on social media to improve its brand perception on Twitter.
KEPEMIMPINAN DAN GOVERNANCE DALAM MENGATASI KETIMPANGAN KOMPETENSI GURU PENDIDIKAN AGAMA ISLAM DI DAERAH 3T Arief Tirtana
Jurnal Ilmu Pendidikan dan Kearifan Lokal Vol. 1 No. 5 (2025)
Publisher : CV. ADIBA ASIHA AMIRA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The disparity in the competence of Islamic Education (PAI) teachers in disadvantaged, frontier, and outermost (3T) regions remains a major challenge in Indonesian education. Based on data from the Ministry of Education, Culture, Research, and Technology in 2023, there is a shortage of 30% of permanent teachers, with the highest proportion in 3T regions. This disparity impacts the quality of learning and the achievement of national education goals. This article aims to examine the strategic role of educational leadership and governance in addressing this disparity. The research uses a qualitative approach with literature review and policy analysis. The results of the study indicate that transformative leadership and collaborative governance across sectors are essential for the equitable distribution of PAI teacher competencies. Key recommendations include strengthening continuous training, redistributing teachers based on regional needs, and integrating inter-ministerial programmes to improve the quality of religious education in 3T regions.
Co-Authors Lady Diana Langoy Wahyudi, Aditio