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All Journal Jurnal Paradigma Ekonomika Jurnal INSANIA Jurnal Manajemen Dayasaing Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education Falah : Jurnal Ekonomi Syariah Jurnal Mirai Management PEDAGOGIA Jurnal Sains dan Informatika Jurnal Pariwisata Terapan Journal of Information System, Applied, Management, Accounting and Research Imtiyaz : Jurnal Ilmu Keislaman ACCOUNTHIK : Journal of Accounting and Finance Jurnal Nasional Pengelolaan Energi MigasZoom Sakina: Journal of Family Studies Maspul Journal of Community Empowerment Unri Conference Series: Community Engagement Swara Patra : Majalah Ilmiah PPSDM Migas Edible : Jedb Jurnal Pengabdian Masyarakat Nusantara Jurnal Asesmen Dan Intervensi Anak Berkebutuhan Khusus INSANIA : Jurnal Pemikiran Alternatif Kependidikan Journal of Artificial Intelligence and Engineering Applications (JAIEA) Digital Transformation Technology (Digitech) Prosiding University Research Colloquium Jurnal Mekar Jurnal Pepadu Innovative: Journal Of Social Science Research Jurnal Multidisiplin Sahombu Jurnal Sains Terapan Pariwisata Jurnal Ilmiah Multidisiplin Indonesia Influence: International Journal of Science Review Jurnal Suaka Insan Mengabdi Jurnal Pengabdian Sosial Jurnal Ekonomi dan Pembangunan Indonesia Health Dynamics Proceeding of International Conference on Humanity Education and Society Jurnal Ilmiah Bisnis dan Ekonomi Asia (Jibeka) Jurnal Perikanan Jurnal Sosial Sains dan Komunikasi (Ju-SoSAK) INTECH (Informatika dan Teknologi) Jurnal Pengabdian Kepada Masyarakat: Dimastika
Ahmad Nawawi
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Journal : INTECH (Informatika dan Teknologi)

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Implementasi Algoritma LSTM Pada Sistem Monitoring Iot Untuk Penanganan Resiko Kebakaran Ahmad Nawawi; Kamarudin; Finki Dona Marleny
INTECH Vol. 6 No. 2 (2025): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v6i2.3290

Abstract

This research implements a Long Short-Term Memory (LSTM) algorithm to predict temperature patterns as part of an IoT-based monitoring system designed to mitigate fire risks. The dataset is collected from ESP32-based sensors that record temperature and timestamp data. The LSTM model was trained using normalized temperature data, with five-step ahead predictions. Preprocessing included combining date and time into a datetime index, followed by scaling and reshaping data for supervised learning. The model architecture consists of a single LSTM layer and a dense output layer. The prediction results show a low Mean Squared Error (MSE), indicating the LSTM model is effective for early detection of potential fire hazards. This work contributes to real-time risk mitigation by improving the predictive accuracy in IoT environments.
Implementasi Algoritma LSTM Pada Sistem Monitoring Iot Untuk Penanganan Resiko Kebakaran Ahmad Nawawi; Kamarudin; Finki Dona Marleny
INTECH Vol. 6 No. 2 (2025): INTECH (Informatika Dan Teknologi)
Publisher : Informatics Study Program, Faculty of Engineering and Computers, Baturaja University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54895/intech.v6i2.3317

Abstract

Penelitian ini mengimplementasikan algoritma Long Short-Term Memory (LSTM) untuk memprediksi pola suhu sebagai bagian dari sistem monitoring berbasis IoT dalam rangka mitigasi risiko kebakaran. Dataset diperoleh dari sensor berbasis ESP32 yang merekam data suhu dan waktu. Model LSTM dilatih menggunakan data suhu yang telah dinormalisasi dengan prediksi lima langkah ke depan. Pra-pemrosesan meliputi penggabungan data tanggal dan waktu menjadi indeks waktu, kemudian dilanjutkan dengan normalisasi dan pembentukan data dalam format pembelajaran terawasi. Arsitektur model terdiri dari satu lapisan LSTM dan satu lapisan keluaran dense. Hasil prediksi menunjukkan nilai Mean Squared Error (MSE) yang rendah, menandakan efektivitas model LSTM dalam mendeteksi potensi bahaya kebakaran secara dini. Penelitian ini berkontribusi pada upaya mitigasi risiko secara real-time melalui peningkatan akurasi prediksi pada lingkungan IoT.
Co-Authors Afrianti, Devita Melani Aguista, Ika Ayu Ahmad Muhammad Al Qodliyah, Diffah Sri Addafi Alfina Fitriani Andri Wibowo Anwari, Sabrina Rossy Arina Zulaikhah Arini Yulia, Nur Ariyanti, Ira Ariyanti, Ira Ayu Adhita Damayanti Ayu Khikmatul Mufidah Azizi, Muhammad Cahyo Sasmito Chrismilasari, Lucia Andi Darajah, Nely Irnik Della Putri Aolina Dian Hakip Nurdiansyah Dilla Nur Sobakh Ernawati Br Ginting, Ernawati Euis Heryati Fadillah, Adinda Nur Fahmi Muhammad Ferry Irawan Fiki Aftinah Finki Dona Marleny Firdaus Yusrizal Fitriani, Febri Gitardiana, Husna Umakhir Harahap, Taufiqurrahman Hasanah, Rodiatul Heridianto, Heridianto Hidayah, Widya Nur Hildayana, Tri Hosnu Inayati Ida Ayu Putu Sri Widnyani Iding Tarsidi Idwar, Idwar Ika Puspitasari, Dian Imas Diana Aprilia Indra Gunawan , Cakti Jamhari Jamhari Juang Sunanto, Juang Jufri, Afifah Farida Kamarudin Kamarudin khairul fajri, khairul KOSASIH KOSASIH, KOSASIH Kurniadi, Ruly Levy Ardhiansyah Lubis, Jihan Aprilia Lucky Nur Alfianto Lumbessy, Salnida Yuniarti Maemonah, Maemonah Mashuri Mashuri Muchsiri, Mukhtarudin Muhammad, Fahmi Muhd. Arief Al Husaini Mukhlisin Nandi Warnandi Nanu Hasanuh Nila Isni Maghfiroh Nur Arini Yulia Nur Ariniyulia Nurarini Yulia Nurdiansyah, Dian Hakip Nurita, Riau Nurul Qomar Nurwulan, Titis Permana, Dimas Yudha Ramadhansyah, Raihan Riau Nurita Rita Komalasari Romie Jhonnerie Sayyidati, Rabini Septi Machelia C.N Shrimarti Rukmini Devy Sihombing, Anton Siti Rahayu Nadhiroh Sofiyana, Aulia Aprilita Sonden Winarto Sri Djuniati Suci Ramadhani, Suci Sulhayani, Sulhayani Sundamanik, Siti Jamilah Sutikno, Sigit Suyatno Suyatno Tri Jaya Wahyu Hidayat Wiwik Kusrini Yulia, Nur Arini Yulia, Nurarini Zakiyah Yasin Zuhdiyah Matienatul Iemaaniah Zuli Laili Isnaini