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All Journal Jurnal Sistem Cerdas Jurnal Abdi Insani
Fazri, Nurul
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Thermal Image-Based Multi-Class Semantic Segmentation for Autonomous Vehicle Navigation in Restricted Environments Fazri, Nurul; Susilawati, Helfy; Haqiqi, Mokh. Mirza Etnisa; Satyawan, Arief Suryadi
Jurnal Sistem Cerdas Vol. 8 No. 1 (2025)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i1.489

Abstract

Technological advancements have propelled the development of environmentally friendly transportation, with autonomous vehicles (AVs) and thermal imaging playing pivotal roles in achieving sustainable urban mobility. This study explores the application of the SegNet deep learning architecture for multi-class semantic segmentation of thermal images in constrained environments. The methodology encompasses data acquisition using a thermal camera in urban settings, annotation of 3,001 thermal images across 10 object classes, and rigorous model training with a high-performance system. SegNet demonstrated robust learning capabilities, achieving a training accuracy of 96.7% and a final loss of 0.096 after 120 epochs. Testing results revealed strong performance for distinct objects like motorcycles (F1 score: 0.63) and poles (F1 score: 0.84), but challenges in segmenting complex patterns such as buildings (F1 score: 0.34) and trees (F1 score: 0.42). Visual analysis corroborated these findings, highlighting strengths in segmenting well-defined objects while addressing difficulties in handling variability and elongated structures. Despite these limitations, the study establishes SegNet's potential for thermal image segmentation in AV systems. This research contributes to the advancement of computer vision in autonomous navigation, fostering sustainable and green transportation solutions while emphasizing areas for further refinement to enhance performance in complex environments.
EDUKASI KESADARAN ETIKA BERMEDIA DIGITAL UNTUK ANAK REMAJA DI SMA MA’ARIF BANYURESMI Wiharso, Tri Arif; Susilawati, Helfy; Nurichsan, Irman; Sunardi, Dede; Nurfitriani, Nabila; Fazri, Nurul
Jurnal Abdi Insani Vol 11 No 3 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i3.1695

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Media digital saat ini tidak dapat dipisahkan dalam kehidupan sehari-hari baik itu untuk lingkungan kerja ataupun lingkungan sekolah. Bahkan saat ini media digital sudah menjangkau pada anak-anak yang masih duduk dibangku SMA yang sudah mulai memasuki fase masa remaja. Pada fase remaja, siswa mudah terpengaruh oleh keadaan lingkungannya. Etika bermedia digital lebih ditekankan pada bagaimana memilah dan memilih informasi agar terhindar dari Hoax, menghindari dan mengenali macam-macam ujaran kebencian, dan menghindari Cyberbullying. Tujuan dari kegiatan ini yaitu melakukan edukasi kepada para siswa tentang bagaimana etika bermedia sosial. Metode yang digunakan dengan ceramah dan tanya Jawab di akhir sesi diberikan angket kepuasan. Hasil kegiatan siswa dapat memahami materi dengan baik itu ditunjukkan dengan keaktifan siswa selama kegiatan dan juga siswa dapat menjawab pertanyaan-pertanyaan yang diberikan oleh pemateri dengan tepat selain itu berdasarkan hasil angket tingkat kepuasan sebesar 76,97%. Harapannya setelah dilaksanakan edukasi ini siswa menjadi lebih peduli mengenai etika bermedia digital, sehingga siswa dapat menjadi lebih bijak dalam bermedia digital.
Co-Authors Haqiqi, Mokh. Mirza Etnisa Helfy Susilawati Nurfitriani, Nabila Nurichsan, Irman Satyawan, Arief Suryadi Sunardi, Dede Wiharso, Tri Arif