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All Journal Jurnal Ilmiah Spectral Innovative: Journal Of Social Science Research
Juita, Nelya
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Humanities Computer Science & IT Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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DEVELOPMENT MIND MAP LEARNING MEDIA FOR APPLICATION-ASSISTED ENGLISH COURSES Juita, Nelya; Sunarhati, Marliyus; Anggrainy, Rita; Zulaikah
Jurnal Ilmiah Spectral Vol. 10 No. 1 (2024): Vol. 10 No. 1 (2024): Jurnal Ilmiah Spectral
Publisher : LPPM STBA Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47255/5tsm3004

Abstract

In classroom learning activities, the presence of media is essential to pay attention to. If selected and used according to class conditions, various alternative uses of learning media will provide optimal results. This research aims to develop learning media using the Freemind application in English courses to produce learning media that is valid, practical, and has potential effects. The results obtained from the development stages carried out by researchers showed that the mind map media with the developed Freemind application was declared to have proven its practicality. The score of learning outcomes for English courses in the medium category determined the effectiveness of the mind map media with the Freemind application. This was based on The results of calculating the N gain value in material 1, which was 0.4708 (effective in the medium category), and the calculation of N gain was 0.4882 in material 2 (effective in the medium category), so the average score was 0.4795. However, the basic comparisons used as research material in this study were only obtained from 2 materials.
Revolutionizing Traffic Light Systems: AI Implementation For Efficiency And Safety Aditya, Nopriansah Dwi; Pratama, Ricky; Piransyah, M. Rafly; Juita, Nelya
Innovative: Journal Of Social Science Research Vol. 5 No. 2 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i2.18312

Abstract

Traffic light systems play a crucial role in modern transportation management by improving traffic efficiency and road safety. However, challenges arise, particularly in adapting to dynamic traffic conditions in developing countries like Indonesia. This article discusses how the implementation of Artificial Intelligence (AI) can transform traffic light systems into more adaptive and responsive infrastructures. Studies indicate that AI-based technologies can reduce congestion by up to 30%, decrease greenhouse gas emissions, and enhance intersection safety. The article also examines the challenges of implementing this technology in Indonesia and provides strategic recommendations for its success.
Co-Authors Aditya, Nopriansah Dwi Anggrainy, Rita Marliyus Sunarhati, Marliyus Piransyah, M. Rafly Ricky Pratama Zulaikah