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All Journal Jurnal Abdimas Maduma Journal of Technology and Computer (JOTECHCOM)
Nuary Singarimbun, Roy
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Humanities Computer Science & IT Education

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Journal : Journal of Technology and Computer (JOTECHCOM)

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Implementation and Utilization of AI in Conceptualizing Educational Video Content on the Importance of Using Sunscreen in Daily Activities Aulia, Ratih; Rambe, Aripin; Nuary Singarimbun, Roy
Journal of Technology and Computer Vol. 2 No. 3 (2025): August 2025 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

This research explores the application of Artificial Intelligence (AI) in developing educational video concepts, specifically focusing on the daily importance of sunscreen use. Recognising AI's capacity to enhance human activities, this study leverages it as a tool for crafting engaging and informative video content. Sunscreen is vital for protecting skin from harmful ultraviolet radiation, necessitating effective public education—video being a key medium. Employing a qualitative, descriptive methodology, this study gathered data through observing and analysing educational videos on social media. The video concept creation primarily utilised ChatGPT, an AI platform, with final video production handled by InShot and CapCut. The findings reveal that AI significantly simplifies and accelerates the video concept generation process, drastically reducing production time. This also allows for the creation of a wide variety of video styles and themes, extending beyond just sunscreen education. The core benefits of integrating AI into this workflow include enhanced time efficiency, streamlined content creation, and remarkable flexibility in generating concepts tailored to specific educational goals. Ultimately, implementing AI in video production promises to empower both the public and content creators to disseminate information with greater effectiveness and creativity.
Implementation of Data Mining to Predict the Eligibility Level for Prospective KPR (Home Ownership Credit) Subsidized Housing Customers Mitra Griya Indah Using the C4.5 Algorithm Anggraini, Mia; Ruziq, Fahmi; Nuary Singarimbun, Roy
Journal of Technology and Computer Vol. 1 No. 2 (2024): May 2024 - Journal of Technology and Computer
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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In the housing industry, data mining plays an important role in assisting the home loan application process by extracting knowledge from historical data, this process allows lenders to identify potentially high-risk home loan applicants and decide whether to approve or reject the loan application. Data mining helps in effective marketing strategies. By optimizing this process, response time to home loan applications can be accelerated, operational efficiency increased, and credit risk can be better managed. In the practice of providing KPR (Home Ownership Credit) to prospective consumers, there are possible problems that will occur like most other people, namely late installment payments or defaulted payments so that it will make it difficult for the bank to maintain the level of credit risk on the credit provided, this is because Mitra Griya Indah Housing has not paid much attention to data regarding the history of credit granting decisions, in other words, it has not maximally utilized data on previous credit granting decisions in supporting credit granting decisions. To solve this problem, the researcher designed a calculation information system. In this case the author uses the waterfall method in the research process. For system design, the author uses the PHP programming language with a database format using MySql. Finally, with this information system, it can facilitate the decision-making process for prospective customers of Home Ownership Credit.
Co-Authors Anggraini, Mia Aulia, Ratih Baginda Harahap Haqki, Bay Rambe, Aripin ruziq, fahmi