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Audience engagement in practice tests and instructional videos on YouTube Ikanubun, Lucia Ekawati; Iwo, Lidiah Tereda
Jurnal Inovasi Teknologi Pendidikan Vol. 12 No. 1 (2025): March
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v12i1.77488

Abstract

As a digital video-sharing platform, YouTube has vast resources for sharing educational content. It is an accessible, open educational resource to assist the audience in gaining information and knowledge for educational needs. The research explored audience engagement and viewing patterns between two types of educational videos- instructional videos and practice test videos on a single Indonesian educational YouTube channel. It employed a quantitative descriptive approach to identify audience engagement and viewing patterns for both categories of videos. The data is collected through YouTube analytics with a population of 218 educational videos. The sample used is 139 videos chosen from the two video categories using proportional random sampling, ensuring each category is represented. The finding reveals that instructional videos have high numbers in view and shares metrics, while practice test videos topped in likes, watching duration, and average view duration metrics. This research provides insight to teachers, educational content creators, and those involved in the educational field, optimizing content strategy for digital learning resources in video formats. Further research can explore audiences' motivations for watching educational content and other metrics related to watching long or short videos that can affect audience engagement, which can provide broader insights regarding learning preferences in online video platforms.
BUSINESS STRATEGY USING AI (ARTIFICIAL INTELLIGENCE): MSME TRAINING IN JAYAPURA CITY Somisu, Rut Penina; Iwo, Lidiah Tereda; Harikedua, Alfani Laura
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 8 No. 3 (2025): Juli 2025
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v8i3.3903

Abstract

Abstract: The rapid pace of digital transformation highlights the need to empower Micro, Small, and Medium Enterprises (MSMEs) in Jayapura City by integrating Artificial Intelligence (AI) into their business strategies. This community service initiative aims to assess MSME actors’ initial understanding of AI, deliver targeted training, and evaluate improvements in strategic planning using the Value Proposition Canvas (VPC). The program was conducted in three stages: pre-assessment, training implementation, and post-training evaluation. Initial findings revealed that most participants had limited knowledge of AI and its applications. However, after the training, there was a significant increase in participants’ confidence and capability. The training effectively reduced lack of knowledge by 40%, addressed infrastructure and internet challenges by 45%, and decreased uncertainty regarding AI's return on investment by 30%. Participants began applying tools such as ChatGPT, Canva AI, and the VPC method to better understand customer needs. Although the study was limited by a short evaluation period and a specific geographic focus, it offers valuable insights for policymakers, educators, and development stakeholders. The findings support the importance of accessible, hands-on training in making AI a practical and beneficial resource for small businesses, ultimately promoting inclusive, technology-driven growth. Keywords: artificial intelligence, business strategy, jayapura, MSME, youth Abstrak: Transformasi digital yang pesat mendorong perlunya pemberdayaan Usaha Mikro, Kecil, dan Menengah (UMKM) di Kota Jayapura melalui integrasi kecerdasan buatan (AI) dalam strategi bisnis mereka. Program pengabdian masyarakat ini bertujuan untuk menilai pemahaman awal pelaku UMKM terhadap AI, memberikan pelatihan terarah, dan mengevaluasi peningkatan dalam perencanaan strategis menggunakan Value Proposition Canvas (VPC). Kegiatan ini dilaksanakan dalam tiga tahap: pra-asesmen, pelatihan, dan evaluasi pascapelatihan. Hasil awal menunjukkan bahwa mayoritas peserta memiliki pengetahuan terbatas tentang AI dan penerapannya. Namun, pascapelatihan terlihat peningkatan signifikan dalam kepercayaan diri dan kemampuan peserta. Pelatihan berhasil menurunkan tingkat ketidaktahuan sebesar 40%, mengurangi kendala infrastruktur dan internet sebesar 45%, serta menekan keraguan atas keuntungan penggunaan AI sebesar 30%. Peserta mulai memanfaatkan alat seperti ChatGPT, Canva AI, dan metode VPC untuk meningkatkan pemahaman kebutuhan pelanggan. Meski terbatas pada waktu evaluasi yang singkat dan wilayah Jayapura, studi ini memberikan wawasan penting bagi pembuat kebijakan, pendidik, dan pemangku kepentingan untuk mendorong pertumbuhan UMKM berbasis teknologi secara inklusif. Kata kunci: anak muda, bisnis strategi, jayapura, kecerdasan buatan, UMKM
The Impact of Fiscal Policy on Addressing Economic Inequality in Jayapura City, 2014-2023 Dodop, Debora; Urip S, Transna Putra; Timisela, Stephanny Inagama; Iwo, Lidiah Tereda; Sinaga, Syamsidar; Marey, Dominggus
Journal of International Conference Proceedings Vol 8, No 2 (2025): 2025 ICPM Thailand Proceeding
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v8i2.4198

Abstract

Economic inequality remains a persistent challenge in regional development, particularly in eastern Indonesia, including Jayapura City. This study aims to examine the impact of regional fiscal policy, specifically government expenditure on social programs, education, health, and infrastructure, on income inequality in Jayapura City during the period 2014–2023. The study employs a quantitative approach using multiple linear regression analysis based on secondary data obtained from the Regional Budget (APBD) and Statistics Indonesia (BPS). The results indicate that, simultaneously, the four categories of regional expenditure do not have a statistically significant effect on income inequality, although the regression model explains 62.2% of the variation in inequality. Partially, social expenditure shows a positive effect that approaches statistical significance, while expenditures on education, health, and infrastructure do not demonstrate a significant influence. These findings suggest that the effectiveness of regional fiscal spending in reducing income inequality in Jayapura City remains limited. Therefore, improvements in the quality of budget allocation, spending efficiency, and targeting accuracy are essential. This study provides important policy implications for local governments in formulating more inclusive and inequality-oriented fiscal strategies.