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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Simantec Generation Journal JITU : Journal Informatic Technology And Communication Joutica : Journal of Informatic Unisla Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Pendidikan Dasar Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Pengabdian Masyarakat Nusantara
Wahyu Cahyo Utomo
Universitas Nusantara PGRI Kediri
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Transportation Other

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Journal : JITU : Journal Informatic Technology And Communication

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Pengamatan Cuaca Lokal secara Multi Node dengan Internet of Things dan Django Framework Saputra, Muh Aris; Utomo, Wahyu Cahyo; Setiawan, Ahmad Bagus; Ramadhanu, Ilham Khefi
JITU Vol 8 No 1 (2024)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Weather is one of the challenges that humans must experience in their activities. Like the MSMEs of sand crackers in Kediri Regency. This MSME uses sunlight as a means of drying products. What often becomes a problem is unpredictable weather conditions which reduce productivity and quality. Therefore, a real-time local weather observation system is needed to anticipate sudden weather changes. In this research, an IoT-based local weather condition measurement tool will be connected to a system built using the Django framework. This system and tools were tested for eight days. So it was concluded that the system was successfully built with data collection accuracy of 96.31%. Measurements are carried out every 5 minutes or a time frame of 5 minutes. In addition, this system supports observations in several places at once. This multiple node concept is used to detect local weather changes in the surrounding area. So it is not concentrated in the MSME area.
Re-Identification Permainan Tradisional Gobak Sodor Dengan Menggunakan Computer Vision: Re-Identification Permainan Tradisional Gobak Sodor Dengan Menggunakan Computer Vision Utomo, Wahyu Cahyo; Saputra, Muh. Aris; Firliana, Rina; Asadulloh, Akhmas; Sari, Livia Indriana
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2184

Abstract

Judging objectivity in the traditional game of Gobak Sodor remains constrained by its reliance on visual observation. This conventional system is prone to subjectivity and human error. This research aims to design and evaluate a player re-identification system. This study is specifically positioned as foundational research. It aims to provide a technical basis for developing future objective judging systems. A state-of-the-art approach combining You Only Look Once version 8 (YOLOv8) for multi-object detection and ResNet50 for feature extraction was applied in this domain. System testing demonstrated perfect performance. The model achieved 100% accuracy for Cumulative Match Characteristic (CMC) Rank-1 and Rank-5. Furthermore, the mean Average Precision (mAP) score reached 1.00. These results confirm that the proposed method combination is highly suitable for the traditional game domain. The system proved capable of performing deep feature extraction for each player. It was not limited to simple attributes like costume color. This research successfully provides a solid technical framework for modernizing judging systems in similar traditional games.
Co-Authors Ahmad Bagus Setiawan Andrean Ferdyana Vabian Eka Sakti Ardi Sanjaya Ari Wahyono Asadulloh, Akhmas Danang Wahyu Widodo Dhian Dwi Nur Wenda, Dhian Dwi Nur Intan Nur Farida Juli Sulaksono Melati, Laurenza Aprilya Muh Aris Saputra Muttaqin, Imam Nur Nareswara, Wanda Ramadhanu, Ilham Khefi Resty Wulanningrum Rina Firliana Roni Heri Irawan Ruruh Andayani Bekti, Ruruh Andayani Saputra, Muh. Aris Sari, Livia Indriana Setiawan, Akbar Fastio Hari Setyawan, Salsabilla Atasyaputri Subkhi, M. Bahrul Wijaya, Dedy Surya