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All Journal Sebatik Specta Journal of Technology Jambura Journal of Electrical and Electronics Engineering Information System Journal (INFOS) Journal of Applied Computer Science and Technology (JACOST) Wahana Indonesian Research Journal on Education PIKAT Journal Geuthee of Engineering and Energy Equiva
Azhar, Nur Fajri
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Journal : Sebatik

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Implementation of Sparrow Pest Detection Using YOLOv8 Method on Raspberry Pi and Google Coral USB Accelerator Nugroho, Bowo; Azhar, Nur Fajri; Pratama , Boby Mugi; Syakbani, Ahmad Rusdianto Andarina; Wibowo, Darrell Rajendra; Syam, Andi Muhammad Agung Ramadhani
Sebatik Vol. 29 No. 1 (2025): June 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i1.2558

Abstract

Sparrows are one of the most costly pests for farmers, as they can reduce rice yields by 50-60%. Traditional control methods, such as the use of scarecrows, windmills, and pesticides, are often ineffective or cause negative impacts on the environment, such as damage to ecosystems and human health. To overcome this problem, YOLOv8-based object detection technology offers a modern solution to automatically detect bird pests with a high level of accuracy. This research aims to implement the YOLOv8 model on power-efficient embedded devices, such as Raspberry Pi 4 and Google Coral USB TPU Accelerator, to support real-time sparrow detection at an affordable cost. The research was conducted through three main stages, namely collecting bird image datasets to support model training, training the YOLOv8n model to produce reliable bird pest detection, and implementing the model on embedded devices with and without TPU accelerators to evaluate detection performance. The evaluation results show that the YOLOv8 model has high performance with precision 0.91, recall 0.86, mAP50 0.92, and mAP50-95 0.59 after being trained for 300 epochs. Implementation on Raspberry Pi 4 without accelerator only resulted in an inference speed of 0.39 Frame Per Second, while with Google Coral USB TPU, the speed increased significantly to 7 Frame Per Second.  This proves that TPU accelerators are highly effective in supporting real-time object detection. This technology is expected to help farmers protect crops efficiently, reduce losses due to pests, support sustainable agricultural productivity, and contribute to the overall improvement of food security.
Evolution of the Intellectual Property Information System at the Kalimantan Institute of Technology Using the Waterfall Method and Design Thinking Rajab, Nur Ali; Marianta, Arwin; Lestari , Ika; Azhar, Nur Fajri; Prihasto, Bima
Sebatik Vol. 29 No. 2 (2025): December 2025
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46984/sebatik.v29i2.2681

Abstract

Intellectual Property (IP) Management at the Kalimantan Institute of Technology (ITK) was previously hindered by manual processes using Google Forms and Excel that were inefficient and prone to errors, and by limited information systems. This research aims to evolve the ITK Intellectual Property Information System (SIM KI) to enhance data management efficiency at the backend and improve functionality and user experience at the frontend. The development methodology uses a structured Waterfall approach. The backend is developed with Node.js (Express) and PostgreSQL, while the frontend uses React JS with interface design based on Design Thinking. System verification is conducted comprehensively through Black Box Testing, White Box Testing, User Acceptance Testing (UAT), and the System Usability Scale (SUS). The evolution results show successful system implementation that now supports four types of IP (Copyright, Patent, Trademark, Industrial Design). Backend testing through unit testing validates the reliability of internal logic, while frontend testing demonstrates functional success (Black Box), good usability (SUS score 77.89), and significant user acceptance improvement (UAT score increased from 68% to 76%). The evolution of SIM KI successfully resulted in a more efficient, functional, and well-received digital platform, which implies increased effectiveness of IP management in the academic environment of ITK.
Co-Authors Abdul Rasyid Alfani Putera, M. Ihsan Angeline T, Carmelita Arinda, Afriani Maya Cahya, Caroline Adi Catherina, Angela Fadhliana, Nisa Rizqiya Fadillah, Ansar Hoan, Richard Owen Kairupan, Muhammad Nasa'i Kirsan, Aidil Saputra Lestari , Ika M Ihsan Alfani Putera, M Ihsan Alfani Marianta, Arwin Nadhira Rizqana Nur Salsabila Nasa’i Kairupan, Muhammad Nugroho , Bowo Nugroho, Bowo Pratama , Boby Mugi Prihasto, Bima Rajab, Nur Ali Ramadhana, Rizky Irswanda Raphi, Andi Sultan Asharil Riksal, Muh. Zul Ikraam Riska Kurniyanto Abdullah Rusdianto Andarina Syakbani, Ahmad Subekti, Putra Cendikia Syafitri, Syahriah Syakbani, Ahmad Rusdianto Andarina Syam, Andi Muhammad Agung Ramadhani Syamsul Mujahidin, Syamsul Tanujaya, Carmelita Angeline Tegar Palyus Fiqar Wibowo, Darrell Rajendra