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All Journal International Journal of Electrical and Computer Engineering MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) INFORMAL: Informatics Journal INTEGRITAS : Jurnal Pengabdian TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Journal of Applied Agricultural Science and Technology Room of Civil Society Development Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Room of Civil Social Development
Gayatri Dwi Santika
Program Studi Informatika, Universitas Jember
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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PENINGKATAN SOFTSKILL DENGAN PENGENALAN DAN PEMANFAATAN INTERNET OF THINGS (IOT) BAGI SISWA DAN GURU SEKOLAH DASAR Santika, Gayatri Dwi; Amalia, Karina Nine; Nugraha, Tri Agustina
INTEGRITAS : Jurnal Pengabdian Vol 6 No 1 (2022): JANUARI - JULI
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Universitas Abdurachman Saleh Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36841/integritas.v6i1.1858

Abstract

Wujud percepatan dari berkembangnya suatu teknologi dengan adanya internet yang memungkinkan setiap barang (things) yang dimiliki dapat terhubung ke internet dan mampu dikendalikan dari jarak jauh menggunakan smartphone bahkan dengan perintah suara disebut dengan Internet of Things (IoT). Guna membekali siswa/i dalam pengetahuan teknologi maka pengabdian masyarakat perlu dilakukan untuk meningkatkan softskill siswa/i disekolah dasar. Pengabdian dilakukan dengan memberikan ceramah dan demonstrasi penerapan dan penggunakan modul rangkaian IoT yang telah disesuaikan dengan kebutuhan dalam kehidupan sehari-hari. Hasil pelatihan telah memberikan pemahaman baru bagi guru dan siswa bagaimana proses, manfaat dan penggunaan perangkat IoT pada era teknologi.
Rice Deep Knowledge Graph-Based Expert System: An Intelligent Solution for Identifying Rice Pests and Diseases Furqon, Muhammad Ariful; Hidayat, Muhamad Arief; Retnani, Windi Eka Yulia; Santika, Gayatri Dwi
Journal of Applied Agricultural Science and Technology Vol. 10 No. 1 (2026): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v10i1.332

Abstract

Accurate diagnosis of rice pests and diseases is essential but often challenging using traditional methods, which are time-consuming and prone to human error. In this study, we propose the Rice Deep Knowledge Graph (RiceDKG) Expert System, which integrates deep learning techniques, particularly Long Short Term Memory (LSTM), with a Knowledge Graph to enhance symptom pattern-based diagnosis accuracy. This hybrid approach captures relationships among rice plant symptoms while leveraging systematically constructed domain knowledge. The system was evaluated on a dataset of 25 test cases, encompassing various symptoms such as brown spots, leaf curling, and fungal damage. Evaluation results demonstrate an overall accuracy of 84%, with 21 out of 25 cases correctly diagnosed, compared to expert evaluations. These findings indicate that integrating LSTM with knowledge graphs improves the system's ability to handle diverse diagnostic scenarios.
Co-Authors Agus Naba Allysa, Pupud Deanira Amalia, Karina Nine Bayhaqqi Bayhaqqi Farchanulhady, Reefadhinta Ubaidillah Firmansyah, Diksy Media Furqon, Muhammad Ariful Hidayat, Muhamad Arief mahmudy, wayan f Nugraha, Tri Agustina retnani, windy eka yulia S, M Zaki Saiful Bukhori Sari, Nadia Roosmalita Satrio Thoriq Shenny Syavira, Anintya Alisya Valiant Shabri Rabbani Wayan Firdaus Mahmudy Windi Eka Yulia Retnani