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All Journal AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Regita, Anggit Nur Hannaa
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Humanities Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Media Interaktif Pembelajaran Berbasis Multimedia menggunakan Adobe Flash untuk TK dan PAUD Aryanti, Putri Gea; Lailany, Afyra Ar’bah; Amelia, Ika; Regita, Anggit Nur Hannaa; Setiawan, Kiki; Yel, Mesra Betty
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2024): APRIL 2024
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v4i1.282

Abstract

Preschool (TK) or Early Childhood Education (PAUD) plays an essential role in shaping the foundation of knowledge, attitudes, and skills in children. The primary focus of early childhood education goes beyond stimulating, guiding, nurturing, and providing learning activities at school. Media learning, incredibly educational interactive media, becomes crucial in motivating and educating children. This study focuses on developing interactive multimedia-based learning media using Adobe Flash for TK and PAUD at TK Bamadita Rahman. Through interviews with the school principal and teachers, a needs analysis was conducted to evaluate the implementation of interactive learning media. The research addresses conventional learning challenges by designing an engaging, child-friendly interactive media application. The objectives include creating interactive media, serving as a reference for play-based learning activities, implementing interactive media, and assessing its effectiveness in TK and PAUD Bamadita Rahman. The study concludes that the learning application using Adobe Flash has been successfully designed, has the potential to cultivate an interest in animation among the younger generation, and enhances the efficiency of the teaching and learning process.
Analisa Sentimen Pada Media Sosial “X” Pencarian Keyword ChatGPT Menggunakan Algoritma K-Nearest Neighbors (KNN) Akbar, Yuma; Regita, Anggit Nur Hannaa; Sugiyono; Wahyudi, Tri
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 5 No. 3 (2024): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v5i3.1016

Abstract

Sentiment analysis of the use of Artificial Intelligence (AI) is becoming increasingly important in public understanding of today's rapidly evolving technology, as it helps facilitate human activities. One of the key applications is the presence of ChatGPT, an AI capable of interacting with users through user input, such as answering various questions posed. This topic generates a lot of pros and cons, as widely discussed on social media. Research is needed to evaluate how wisely people use this AI. This study proposes an approach using the K-Nearest Neighbors (KNN) algorithm to analyze AI-related sentiment. The KNN algorithm is used to classify sentiment into positive, negative, or neutral, based on the similarity with the closest word in the feature space derived from text data. This method allows for efficient sentiment grouping without the need for complex models. Researchers chose sentiment analysis because it is an appropriate technique for data processing. Of the 1000 reviews collected from social media users on “X,” 853 were positive, and 147 were negative. The data was classified using the KNN algorithm, followed by an accuracy evaluation yielding 84.80%. The results of this sentiment analysis are expected to guide decision-makers in developing and applying AI technology more intelligently, in line with societal needs and expectations.
Co-Authors Akbar, Yuma Amelia, Ika Aryanti, Putri Gea Betty Yel, Mesra Lailany, Afyra Ar’bah Setiawan, Kiki Sugiyono Tri Wahyudi