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All Journal Jurnal Rekayasa Energi Comunitario: Jurnal Pengabdian Masyarakat
Prasetyaningtyas, Antika
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Religion Arts Humanities Control & Systems Engineering Education Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences Other

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SISTEM PENDETEKSI KEASLIAN NOMINAL UANG KERTAS UNTUK TUNANETRA DENGAN SENSOR WARNA DAN SISTEM SUARA Zuhair, Alvin; Trisna Pambudi, Kukuh; Syukron, Muhammad; Prasetyaningtyas, Antika; Baggas Pratama, Tegar
JURNAL REKAYASA ENERGI Vol. 4 No. 1 (2025): Jurnal Rekayasa Energi
Publisher : Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jre.v4i1.83

Abstract

This banknote denomination and authenticity detection system was designed using an Arduino Uno Atmega 328P microcontroller as the main controller. Two sensors were employed: Sensor A (RGB) to read the color patterns of banknotes for denomination classification, and Sensor B combined with an ultraviolet lamp to verify the presence of security features. The data processing flow is sequential: the denomination is first recognized through RGB analysis, followed by authenticity verification under UV detection. The results are delivered through an audio output, announcing the denomination if the banknote is genuine, or issuing a warning “banknote not detected” if it is counterfeit. The evaluation of the system focused on two main parameters: security and efficiency. Security was measured by the accuracy in distinguishing genuine from counterfeit banknotes, the error rate (false positives and false negatives), and the reliability of the audio output in conveying the correct information. Efficiency was assessed in terms of system response time from banknote input to audio output, the success rate of correct denomination recognition, and the ease of use for visually impaired users.
Optimalisasi Chat GPT dan Canva AI sebagai Asisten Cerdas Guru Dalam Penyusunan Media Ajar Hidayat, Muhamad Maksum; Syukron, Muhammad; Zuhair, Alvin; Pambudi, Kukuh Trisna; Prasetyaningtyas, Antika; Akrianto, Muhammad Ichwandar; Nugroho, Ahmad
Comunitario: Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2025): Desember
Publisher : CV. Biha Cendekia

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Abstract

In the digital era, teachers are required to produce creative and relevant teaching materials quickly. However, many teachers in rural areas, such as in Candimulyo District, still rely on manual methods that are time-consuming due to a lack of familiarity with modern technology. This community service aums to optimize the use of Artificial Intelligence (AI), specifically ChatGPT and Canva AI, as “smart assistans” to help teachers streamline their workload. The methods employed was a workshop with a hands-on training approach, guiding teachers to use AI for drafting lesson plans and designing visual media. The activity was attended by 30 teachers from LP Ma’arif. The evolution results showed a significant increase in competence. The average cognitive score rose from 83.33 (pre-test) to 100.00 (post-test) with an N-Gain of 0.48 (Medium Category). Furthermore, participants responded positively (score 4.19/5.00) regarding their ability to use these tools technically. It can be concluded that ChatGPT and Canva AI are effective in serving as smart assistants that increase teachers productivity and creativity in developing teaching materials.
Co-Authors Akrianto, Muhammad Ichwandar Baggas Pratama, Tegar Hidayat, Muhamad Maksum Nugroho, Ahmad Pambudi, Kukuh Trisna Syukron, Muhammad Trisna Pambudi, Kukuh Zuhair, Alvin