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All Journal Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) Electronic Integrated Computer Algorithm Journal
Claudia, Sindi
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Social Sciences Other

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Uncovering the Secrets of the 2023 Box Office: Analysis of Factors Affecting the Success of the Top 200 Films Using the Linear Regression Method Lase, Yuyun; Claudia, Sindi; Lingga, Ichan; Ariyudha, Dimas
Electronic Integrated Computer Algorithm Journal Vol. 2 No. 1 (2024): VOLUME 2, NO 1: OCTOBER 2024
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v2i1.45

Abstract

The film industry plays a crucial role in the global economy and popular culture, realizing creative outcomes through complex processes involving production to marketing. This research analyzes the factors influencing the success of the top 200 films at the Box Office in 2023 using linear regression. Independent variables such as film ratings, number of theaters, and distributors are examined in relation to total gross revenue. The dataset processed for this research consists of 200 data points specifically for the year 2023, sourced from Kaggle and processed with Python in Google Colab. The analysis revealed that films with a rating of 7.0 and above averaged a total gross revenue of approximately $100 million, while those rated below 7.0 averaged around $50 million, indicating a negative correlation between film ratings and gross revenue. Additionally, films shown in an average of 2,000 theaters grossed approximately $150 million, demonstrating a positive correlation between the number of theaters and gross income. The analysis also indicated that films distributed by major companies tend to have higher grosses, with the top distributors achieving an average gross of $120 million compared to $70 million for smaller distributors. Nonetheless, this analysis highlights the complexity of other factors influencing a film's success. Further research is needed for a better understanding. The relevance of these findings for the film industry lies in supporting strategic decision-making and the development of more sophisticated analytical methodologies.
OPTIMALISASI PEMASARAN PRODUK LOKAL WARGA DUSUN PULAU NANGKA MELALUI PLATFORM MEDIA SOSIAL TIKTOK Claudia, Sindi; Iqbal Arrosyad, Muhammad; Amal, Fadilah; Saputra, Kevin Saki; Ma'arif, Ilal; Istahara, Istahara; Fauzan, Fauzan; Rahmadika, Dhevario; Alifah Iswarini, Rifdah; Alwijah, Alwijah; Lastari, Fetty
Indonesian Journal of Engagement, Community Services, Empowerment and Development Vol. 5 No. 1 (2025): Indonesian Journal of Engagement, Community Services, Empowerment and Developme
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/ijecsed.v5i1.193

Abstract

The development of digital technology has presented various opportunities for local business actors to expand their market reach. One of the increasingly popular social media platforms in marketing strategies is TikTok, which offers creative features and algorithms based on user interests. This study aims to analyze the implementation of TikTok as a marketing medium to increase the selling power of local products of Dusun Pulau Nangka residents. The methods used in this study include observation, interviews, and analysis of digital content strategies implemented by local business actors. The results of the study show that optimal use of TikTok, through the creation of creative content, the use of advertising features, and active interaction with users, can increase product visibility and consumer appeal. With the right marketing strategy, Dusun Pulau Nangka local products can be better known, thereby encouraging economic growth in the local community.
Co-Authors Alifah Iswarini, Rifdah Alwijah, Alwijah Amal, Fadilah Ariyudha, Dimas Fauzan . Iqbal Arrosyad, Muhammad Istahara, Istahara Lase, Yuyun Lastari, Fetty Lingga, Ichan Ma'arif, Ilal Rahmadika, Dhevario Saputra, Kevin Saki