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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Building of Informatics, Technology and Science Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Informasi dan Teknologi CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal E-Komtek JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Bakti Masyarakat Indonesia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) IICS KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Info Sains : Informatika dan Sains Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra International Journal Engineering and Applied Technology (IJEAT) Jurnal Pengabdian Masyarakat Bhinneka JEECS (Journal of Electrical Engineering and Computer Sciences) Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK) Indonesian Journal of Community Empowerment Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Prosiding SENTIMETER : Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer
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Universitas Nusa Putra
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Journal : Building of Informatics, Technology and Science

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Sistem Identifikasi Cerdas: Integrasi IOT dengan YOLOv8 Untuk Identifikasi Visual Kerusakan Dinding Bangunan Kamdan, Kamdan; Somantri, Somantri; Rohmat, Satria Rizki; Gumelar, Agung; Kharisma, Ivana Lucia
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.7882

Abstract

Damage to non-structural building elements, particularly walls, can serve as an early indicator of more serious structural issues. Manual crack identification is often time-consuming, subjective, and lacks consistency. This study develops an automated identification system based on computer vision using the YOLOv8 architecture, integrated with Internet of Things (IoT) technology through the ESP32-CAM device. The system is designed to visually detect and classify wall damage into light, moderate, or severe categories based on field-captured images. The model was trained and evaluated using the confusion matrix metric to assess its classification performance. The test results show that the system achieved a solid performance with an mAP@50 score of 0.822 and a stricter mAP@50-95 score of 0.522, indicating the system’s strong capability in detecting damage objects with a good level of precision. The implementation of this system is expected to support building inspection processes in a more standardized, objective, and sustainable manner, and assist in decision-making regarding building maintenance and repair.
Co-Authors Adhitia Erfina Adisti Ridha Ramadhan Agung Gumelar Alamsyah, Zaenal Algifari, M. Alwan Alun Sujjada Alun Sujjada Alun Sujjada Andi Nopiandi Anggun Fergina Anggun Fergina Anggun Fergina Any Elvia Jakfar Ardi Yansah Atikah Mugiyanti Ayu Lestari, Melani Azkal Khalif Berniman Gofindo Malau Bibin Aripin Chelika Patricia Handraputri Dava Febrian Dava, Dava Febrian Dede Agung Delia Nur Delia Nur Annisa Dewi Puspitasari Dhea Ayu Septiani Dimas Arya Pamungkas Dwi Sartika Simatupang Dwi Sartika simatupang Fergina, Anggun Firdaus, Asep Rizki Fitri Ramadani, Rizka Galih Rakasiwi Galuh Ratna Putri Gilang Rizki Padilah Gina Purnama Insany Gina Purnama Insany Gina Purnama Insany Gina Purnama Insany Gunawan, Muhamad Sahrul Hafidzh Al Muhiddin, Muhammad Hari, Rizki Dini Hermanto Hermanto Hermanto Ibnu Sina, Rivaldi Ibrahim Cahya Gumilar Ihsan Septian, Firdaus Ika ika Indra Yustiana Insany, Gina Purnama Ira Rohimah Ivana Lucia Kharisma IVANA LUCIA KHARISMA Jihad Taqwana, Friendly Juan Cerah Joseph Khairiyah Ivanka, Najwa Kharisma, Ivana Lucia Kustandi, Agus Lucia Kharisma, Ivana M. Sarhan Akasah Mamun, Yuliana Maulana Yusuf Meylinda Nuryani Moh. Abd. Aziz Hidayat Moh. Iqbal Maulana Muhamad Galih Sundayana Muhamad Iqbal Ramadhan Muhammad Azmi Fauzan Muhammad Dzulqarnain, Fajar Muhammad Ikhsan Thohir Muhammad Maulana Zakaria Mulyana, Azril Munandar, Rifki Arief Muslih, Muhamad Mutiara Annisa Tresna Ati Nasrulloh, Dendi Natanael, Brillian Aji Natasya, Sandra Neng Syahla Nida Khofifah Nugraha Nuraiman Nuraini, Desti Nurcahya Sumirat, Hana Padilah Qurani, Intan Paikun Perkasa, M. Juang Pajri Prayoga , Rizki Haddi Purnama Insany, Gina Putri Iskandar, Alyanissa Putri, Hanifa Raihan Lutfhi Purba Raka Adriel Maheza Ramdan Alkausar, Ryan Ramdan, Hari Muhammad Reza Agustian Kusnadi Rismi Nurlaely Rizki Firdaus, Asep Rizki Haddi Prayoga Rizki Padilah, Gilang Rizqy Mawardi Rohmat, Satria Rizki Sahira, Sarah Sakti Aji Salman Alhidamkara Sanulqi, Ihsan Sebayang, Alvin Christoper Sembiring, Rinawati Septian, Muhammad Ardhi Septiani, Dhea Ayu Serliani, Siska Meyisa Amelia Setiana Andika Putra Setiawati Siti Olis Somantri Somantri Somantri Somantri Somantri, Somantri Suhendar Suhendar Sukmawan, Dede Tasliyatunadiyah, Latifah Teguh Gumelar Tofik Hidayat Tresna Ati, Mutiara Annisa Wardin Hia, Srifen Wigi Januar Rahman Wigi Januar Rahman Wilda Widyana Yasin, Fakhriyal Riyandi Yusup Solehudin Yusup Solehudin Zaki Hibatullah, Muhammad Zalukhu, Eliadi Zulia Nur Permatasari zulianp