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Analysis of Star Catalog Model Based on The Nearest Star Composition and Brightest Star as Guide Star Ramadhana, Alif; Saifudin, M A; Poetro, Ridanto E; Fathurahim, L
International Journal of Aviation Science and Engineering - AVIA Vol. 6 No. 1: (June, 2024)
Publisher : FTMD Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47355/avia.v6i1.88

Abstract

Star sensor is the most advanced attitude determining instrument for spacecraft with very high accuracy, and it is independent of other attitude sensors. However, the star sensor's accuracy and processing time depend on selecting the algorithm, which starts from detecting the star pattern until the matching process with the star catalog. The star catalog consists of the right ascension and declination of stars' position and magnitude for 250.000 stars which need a large memory size. Therefore, modifying a new star catalog consisting of guide stars' position,magnitude, and nearest star composition can reduce the required memory and processing time without losing accuracy. T he nearest star catalog model in this paper used radial based featurewhere for each guide star candidate, the number of stars in each binary (bin) layer around the guide star will be calculated. This paper focuses on determining the best architecture for the nearest star catalog model, such as the number of bin layers and bin ranges, and the influence ofstar sensor field of view and guide star limitation with the model's accuracy. The proposed star catalog provides excellent performance in low-cost star sensors with a high and medium field of view.
Persepsi Publik terhadap Citra Platform Hiburan Digital Vindes Ramadhana, Alif; Nurhidayat, Sidiq; Rahman, Muhammad Fathir; El Adawiyah, Sadiyah
Madani: Jurnal Ilmiah Multidisiplin Vol 4, No 1 (2026): February 2026
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18296591

Abstract

The development of digital communication technology has transformed the media consumption landscape in Indonesia, shifting the dominance of conventional media to internet-based platforms such as YouTube, Instagram, and TikTok. This study aims to analyze public perception of the digital entertainment platform Vindes, founded by Vincent Rompies and Deddy Mahendra Desta. Using a positivism paradigm with a descriptive quantitative method, this study measures two main dimensions of image: functional image (content quality, originality, consistency) and symbolic image (host personality, credibility, cultural values). Data were collected through an online survey of respondents meeting specific content exposure criteria. The research findings indicate that Vindes has successfully built a strong functional image through production quality equivalent to television standards and innovative (out-of-the-box) program concepts. Symbolically, the personas of Vincent and Desta create deep parasocial relationships with the audience, significantly strengthening brand loyalty. There is high alignment between the intended image by platform managers and the perceived image by the public. This study concludes that authenticity and interactivity are key to maintaining reputation in the new media era