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All Journal Jurnal Dedikasi Jurnal Edukasi Elektro Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik PROtek : Jurnal Ilmiah Teknik Elektro Journal of Electrical Technology UMY JETT (Jurnal Elektro dan Telekomunikasi Terapan) JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Techne : Jurnal Ilmiah Elektroteknika Rang Teknik Journal Jurnal Elektronika dan Telekomunikasi Jurnal ULTIMA Computing Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jambura Journal of Health Sciences and Research Jurnal Sistem Cerdas Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Buletin Ilmiah Sarjana Teknik Elektro Jambura Journal of Electrical and Electronics Engineering Jurnal Teknika TIN: TERAPAN INFORMATIKA NUSANTARA Academia Open Indonesian Journal of Cultural and Community Development Journal of Computer Networks, Architecture and High Performance Computing Community Empowerment JiTEKH (Jurnal Ilmiah Teknologi Harapan) Journal of Electrical Engineering and Computer (JEECOM) JASEE Journal of Application and Science on Electrical Engineering JEEE-U (Journal of Electrical and Electronic Engineering-UMSIDA) Indonesian Journal of Innovation Studies Jurnal Al Ulum: LPPM Universitas Al Washliyah Medan SinarFe7 Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Prosiding Seminar Nasional Teknologi Industri Berkelanjutan PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities Electrician : Jurnal Rekayasa dan Teknologi Elektro JEECS (Journal of Electrical Engineering and Computer Sciences) Innovative Technologica: Methodical Research Journal Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK) Journal for Technology and Science
Indah Sulistiyowati
Universitas Muhammadiyah Sidoarjo
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WebSocket-Based Smart Surveillance Camera for Real-Time Detection of Occupational Health and Safety PPE Non-Compliance in Industrial Areas Sabarto, Rivaldi Azis; Sulistiyowati, Indah; Syahrorini, Syamsudduha; Wisaksono, Arief
Jurnal Sistem Cerdas Vol. 8 No. 3 (2025): In progress (December)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i3.597

Abstract

In industrial settings, ensuring adherence to Occupational Health and Safety (OHS) Personal Protective Equipment (PPE) regulations continues to be a crucial challenge. The creation of a WebSocket-based smart surveillance camera system for the real-time identification and reduction of PPE infractions is discussed in the paper. The proposed system includes an ESP32-S3 microcontroller accompanied by an OV5640 camera module, acting as an edge-processing embedded platform. The Edge Impulse machine learning framework was used to train image classification and detection models, enabling efficient low-latency inference directly on the device. A websocket enabled web server streams video frames in real time for constant monitoring, with instant display using regular browsers without wasting bandwidth. Experimental results demonstrate that even with limited computational resources, the system is able to perform on-device inference with very high responsiveness and good detection accuracy. This technology provides a scalable and affordable way to enhance OHS compliance monitoring in industry, reduce reliance on manual supervision, and encourage proactive risk mitigation methodologies.
RAT REPELLENT IN RICE FIELDS USING SOUND SENSORS AND SOLAR-POWERED BEN 5M-MFR AUTONIC SENSORS Alfad, Mochamad Alfin Bachtiar; Sulistiyowati, Indah
Journal for Technology and Science Vol. 2 No. 2 (2025): Journal for Technology and Science
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/ipteks.v2i2.422

Abstract

Objective: Rice is a staple food in Indonesia, but pests such as rats and birds often cause significant crop failures. This research developed a technological solution using solar power to deter these pests and optimize yields. Method: The study utilized a research and development approach, testing components such as solar panels, a timer, an FC-04 sound sensor, and an autonic BEN5M-MFR sensor. Results: The results indicate that the sensor can detect pests within a 7m range, triggering ultrasonic waves regulated by the timer to effectively repel rats and birds. The solar panel maintained a consistent 13V throughout the day, and the battery powered the system for 7 hours, demonstrating the viability of the solar-powered design to meet operational requirements. Novelty: This innovation contributes to enhancing food security by mitigating the impact of pests on rice cultivation through the integration of renewable energy technology.
IMPLEMENTASI SISTEM SMART DOORLOCK KOST BERBASIS ESP32 DENGAN DETEKSI STATUS TAGIHAN MENGGUNAKAN LOGISTIC REGRESSION DAN MONITORING APLIKASI MOBILE Virmansah, Riski; Sulistiyowati, Indah; Jamaaluddin, Jamaaluddin; Ahfas, Akhmad
Jurnal Al Ulum LPPM Universitas Al Washliyah Medan Vol. 14 No. 1 (2026): Jurnal Al Ulum: LPPM Universitas Al Washliyah Medan
Publisher : UNIVERSITAS AL WASHLIYAH (UNIVA) MEDAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47662/alulum.v14i1.1174

Abstract

The management of boarding houses (kost) is not only related to providing residential facilities, but also involves administrative payment management and access security for tenants. Common problems that frequently occur include late payment of rental fees and the use of conventional door locks, which are vulnerable to misuse such as key duplication and unauthorized access. These conditions make it difficult for boarding house owners to monitor payments and room access effectively and in real time. Therefore, this study aims to design and implement an ESP32-based smart boarding house door lock system integrated with RFID, Firebase, and a mobile application, complemented by billing status detection using the Logistic Regression algorithm. The system operates by reading the tenant’s RFID card as an access identifier. The tenant’s identity data is then verified through the Firebase database to determine the payment status. Door access is granted only to tenants with a confirmed paid status, while tenants with outstanding payments are automatically restricted from accessing the room. The Logistic Regression algorithm is applied to predict payment status based on historical payment data, such as the duration of arrears and the frequency of on-time payments. The research method used in this study is Research and Development (R&D), which includes problem identification, literature study, hardware and software design, system testing, and result analysis. The expected outcome of this research is to enhance room access security, simplify real-time payment monitoring for boarding house owners through a mobile application, and create a more efficient, practical, and integrated boarding house management system based on Internet of Things technology.
Co-Authors Achmad Fatchur Rochman, Achmad Fatchur Adam, Mochammad Rizki Adhimanata, Yogi Agung Wahyu Hidayat Agus Hayatal Falah Agus Hayatal Falah Ahmad Ahfas Ahmad Ahfas, Ahmad Ahmad Rifandi Ahmad Yovi Nurulfahmi Ahmad Yovi Nurulfahmi Akhmad Ahfas Akhmad Nurfaizi Alawi, Nuril Alfad, Mochamad Alfin Bachtiar Ali Akbar Ali Mahfud Roziqin Aliffudin, Muchammad Amrul Faruq Amrul Faruq Andri, Dwi Andriyanto Anwar, Dimas Hijjul Arga Rachmanda Putra Arief Wicaksana Arief Wicaksono, Arief Arief Wisaksono Bagas Dewantara Chanifudin, Achmad Yahya Cholilurrohmana Cholilurrohmana Desyandri Desyandri Dwi Hadidjaja Edi Widodo Edi Widodo, Edi Efendi, Muhammad Taufik Nur Exsavator Dwiryanto Putra FahrizaI Akbarlillah Perdana Buana Faris, Faisal Fitri Nur Latifah fudin, muchammad alif Hafidz Maulana Ichsan Hafidz, Miftah Nur Hariska Ade Pratama Hayatal Falah, Agus Hayatalfalah, Agus I Dewa Made Juniarta Putra Ilhamzah, Triansyah Izza Anshory Jainul, M Jamaaluddin Jamaaludin Laksono Hadi, Moch. Faizal Lukman Hudi Mahardika, Joar Yahdi Maulana Ichsan, Hafidz Maydia Anggraeni, Putri Miftachur Rifki Antoni Mochammad Hisam Zulwidad Mochammad Syeh Maulana Mochammad Syeh Maulana Moh Imam Muhyiddin Mohammad Amar Juliyanto Mohammad Tetuko Putra Mulana Muh Arul Romadhon Muhamad Husaini Muhammad Irsyad Hidayatullah Muhammad Khafid Amrulloh Muhammad Nasar Muhammad Nauval Khoiron Hamdani Muhammad Nur Fahmi Febriansyah Muhammad Syaiful Azis Nanggala, Dikas Pandu Negara, Fatahilah Ikra Novendra Setyawan Nurfaizi, Akhmad Nuryasa, IMade Fredy Pian pian Prasetiyo Budi Megantoro Pratama, Mochamad Rendi Pratama, Yunardhika Wahyu prayogo, rio Prayudha, Mufit Yogie Putra, Arga Rachmanda Putra, Mochamad Wildan Karyono RAGIL FANNY SETIYA AJI, RAGIL Ragil Ragil Fanny Setiya Aji Rakhmad Fajar Ashari Rasjid Saputra, Dwi Hadidjaja Rina Astini Rio Prayogo Rizqiyah, Mar'ati Amalia Rohman, Rizky Habibur Romadhoni, Sahrul Rossoleh, Andriyan Herqi Rosyidah, Izzah Sabarto, Rivaldi Azis saputro, galib asbie Shazana Dhiya Ayuni Shinta Carolin Stevi Yanti Siddiq, Wahyu Ja'far Syahrorini, Syamsudduha Syamsuduha Syahrorini Vedy Hardino Virmansah, Riski wahyu ja’far siddiq wildan arief prasetyo Yanuar Gustiyandi Yunus, Novia Setya Putri Zainal Arifin Zidan Nur Fauzan