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All Journal Journal of Computer System and Informatics (JoSYC) JPM: JURNAL PENGABDIAN MASYARAKAT
Odi Nurdiawan
STMIK IKMI Cirebon, Kota Cirebon
Aerospace Engineering Humanities Astronomy Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Implementasi Alat Pemantau Debit dan Ketinggian Air Sungai Berbasis Internet of Things Untuk Penanggulangan Banjir Cep Lukman Rohmat; Odi Nurdiawan; Irfan Ali; Arif Rinaldi Dikananda; Athhar Hafizha Luthfi; Eti Rohayati
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4518

Abstract

The increasing frequency and intensity of floods in Cirebon City demands innovative solutions to reduce the impact of damage and risks to society and infrastructure. requires the latest approaches to risk management and prevention. This research focuses on the implementation of an Internet of Things (IoT)-based river discharge and water level monitoring tool designed to improve flood detection and prevention capabilities in Cirebon City. The main problems faced include accurate measurements, real-time monitoring, and rapid response to river water fluctuations. By combining the latest sensors and IoT technology, this tool is able to provide accurate data about water discharge and river levels continuously. The first stage in developing the Internet of Things (IoT) is identification and study of flooding problems in Cirebon City and analysis of the need for a monitoring system for flood prevention. Second, design a monitoring tool concept that meets the needs and specifications and determine the type of sensors, hardware and IoT technology that will be used. Third, choose a sensor to measure river discharge and water level. Fourth, build a monitoring tool prototype based on conceptual design. Fifth, Testing and Validation. The results of this research are based on river tests in the city of Cirebon, there are 4 rivers that frequently flood and the results of the test are that the Kalijaga River has a height of 20cm in the Safe level category, the Kedung Pane River has a height of 15cm in the Safe Level Category, the Kesunean River has a height of 10cm in the Safe Level Category and the Sukalila River has a height of 17cm in the Safe level category this is influenced by dry weather. Then the data collected from monitoring tools can be used to analyze flood patterns, trigger factors and impacts. Then, from this data, a flood classification analysis can be carried out based on the level of river water discharge, so that it can be classified as light, medium or heavy floods based on the amount of water flowing.
Optimalisasi Hak Kekayaan Intelektual dan Hilirisasi Inovasi Pembelajaran melalui Generative Artificial Intelligence Odi Nurdiawan; Dadang Sudrajat; Rudi Kurniawan; Bani Nurhakim
JPM: Jurnal Pengabdian Masyarakat Vol. 7 No. 1 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jpm.v7i1.3357

Abstract

The digital transformation of education requires teachers to possess digital literacy competencies, the ability to utilize Generative Artificial Intelligence (Generative AI), and an understanding of Intellectual Property Rights (IPR) protection regarding instructional innovations. However, a needs analysis conducted among teachers within the West Java Provincial Education Office Branch (Region X) revealed that the use of Generative AI in the learning process remains limited, understanding of IPR is inadequate, and efforts to commercialize or scale up (downstream) instructional innovations have not been optimally implemented. These conditions potentially hinder the creation of value-added and sustainable instructional innovations. This community service activity aims to optimize teachers' competencies in utilizing Generative AI to produce instructional innovations that are protected by IPR and possess potential for downstream application. The proposed solution was implemented in four stages: participant needs analysis; a workshop on digital literacy and Generative AI utilization; mentoring on IPR documentation and innovation downstreaming strategies; and evaluation using a Likert-scale questionnaire. The results indicate that participants were able to implement Generative AI to develop teaching materials, digital learning media, assessment instruments, and school administrative tools more effectively and innovatively. Evaluation of the activity showed that all indicators fell into the "highly proficient" category, with understanding levels ranging from 89.6% to 95.2%. The highest achievement was recorded in the indicator for readiness to implement training outcomes in schools (95.2%), followed by Generative AI utilization (94.8%) and increased digital literacy (93.2%). Furthermore, participants demonstrated an improved understanding of the importance of IPR protection and the opportunities for downstreaming instructional innovations as part of strengthening the technology-based education ecosystem. Thus, a workshop approach combined with mentoring proved effective in enhancing teacher competence while fostering the creation of instructional innovations that are adaptive, legally protected, and capable of delivering a broader impact on educational development.
Co-Authors Arif Rinaldi Dikananda Athhar Hafizha Luthfi Bani Nurhakim Cep Lukman Rohmat Dadang Sudrajat Eti Rohayati Irfan Ali Rudi Kurniawan