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All Journal Jurnal Sains dan Informatika Elsains : Jurnal Elektro Jurnal ULTIMATICS MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi ScientiCO : Computer Science and Informatics Journal Jurnal Pengabdian Kepada Masyarakat (Mediteg) Jurnal Informatika dan Rekayasa Elektronik Seminar Nasional Teknologi Informasi Komunikasi dan Administrasi [SEMINASTIKA] Jurnal Humaniora Teknologi Infotek : Jurnal Informatika dan Teknologi Jurnal Humaniora Teknologi Brilliance: Research of Artificial Intelligence Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Arif Supriyanto
Politeknik Negeri Tanah Laut
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Social Sciences Other

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Design and Implementation Plagiarism Checker Application with DetectGPT using Scheduler Algorithm Arif Supriyanto; Hendrik Setyo Utomo; Oky Rahmanto
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3275

Abstract

The increasing use of Generative AI in the field of writing in the academic world creates problems in the field of plagiarism. this problem has prompted an urgent need for plagiarism detection tools. However, not all universities are able to implement a system that is able to detect sentences or paragraphs resulting from generative AI. Recent research seeks to overcome this obstacle using AI itself, specifically through the DetectGPT model. However, the implementation of this technology has limitations, such as requiring large computing resources and quite a long examination time. Using a GPU can speed up the process, but not all users can implement it. Solutions to minimize processing time include using more than one worker, however, scheduling is essential to maximize plagiarism detection efficiency. This research proposes the implementation of the above system with the help of the scheduler. The results obtained in this system prototype are an average waiting time for checking of 457,778 seconds to complete 10 tasks with the help of 3 workers running at the same time.
Penerapan Sistem Tertanam untuk Monitoring Kandang Ayam Broiler Fathurrahmani Fathurrahmani; Wiwik Kusrini; Khairul Anwar Hafizd; Arif Supriyanto
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 19 No. 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v19i1.490

Abstract

Broilers are fast growing animals that are influenced by environmental conditions. Routine monitoring is needed, especially temperature, humidity and ammonia levels. In this study, the authors propose an embedded system that can detect temperature, humidity and ammonia levels. This system works by sending temperature, humidity and ammonia gas information routinely once a day to the henhouse operator via text message (SMS), or information will be sent if environmental conditions are above/below the threshold. The embedded system was built using microcontrollers, temperature and humidity sensors as well as ammonia sensors. The microcontroller uses Arduino. Temperature and humidity sensors use DHT11, while the ammonia level sensor uses MQ-135. Embedded system communication uses the GSM SIM800L module, this module is responsible for sending the henhouse environmental conditions to the operator via SMS. Testing is done in two stages, namely functionality and connectivity. The functionality test proves that the sensor can produce information on temperature, humidity and ammonia levels by comparing it with conventional tools. The connectivity test proves that the GSM SIM800L module can send monitoring data every day and certain conditions.
Co-Authors Ahmad Hadari Asmilia Asmilia Fathur, Fathurahmani Fathurrahmani Fathurrahmani Fathurrahmani Fathurrahmani Fathurrahmani Fithriyyah, Yuniska Hasmilawati Hasmilawati Hasmilawati, Hasmilawati Hendrik Setyo Utomo herpendi, herpendi Khairul Anwar Hafizd, Khairul Anwar Murad Maulana Noor, Agustian Oky Rahmanto Oky Rahmanto Royana, Indra varida, Emilyana Veri Julianto Wan Yuliyanti Wardani, Rizal Wiwik Kusrini Yuniska Fithriyyah Yunita Prastyaningsih