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All Journal TEKMAPRO Journal of Industrial Engineering and Management SITEKIN: Jurnal Sains, Teknologi dan Industri Journal of Research and Technology Metode : Jurnal Teknik Industri Jurnal Abdidas Indonesian Journal of Cultural and Community Development Indonesian Journal of Law and Economics Review Community Empowerment BEMAS: Jurnal Bermasyarakat International Journal for Applied Information Management Indonesian Journal of Innovation Studies Peka: Jurnal Pengabdian Kepada Masyarakat PELS (Procedia of Engineering and Life Science) Procedia of Social Sciences and Humanities International Journal Multidisciplinary Journal of Social Comunity Services EduInovasi: Journal of Basic Educational Studies Journal for Technology and Science IJOT Spektrum Industri Academia Open
Inggit Marodiyah
Program Studi Teknik Industri, Universitas Muhammadiyah Sidoarjo
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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ESP32 CAM Flood Warning System with Fuzzy Logic: Sistem Peringatan Banjir ESP32 CAM dengan Logika Fuzzy Roy Andi Subagia; Inggit Marodiyah
Indonesian Journal of Innovation Studies Vol. 26 No. 3 (2025): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i3.2185

Abstract

General Background: Flood-prone areas require reliable early warning systems to support timely monitoring and response. Specific Background: Kedungbanteng Village, Sidoarjo Regency, experiences recurring flooding due to its lowland geographical conditions and proximity to major rivers. To address this issue, a flood warning system was developed using an ESP32-CAM microcontroller, an ultrasonic sensor, a camera module, fuzzy logic processing, indicator lights, an alarm, and Telegram-based notifications. Knowledge Gap: Previous flood detection approaches have faced challenges related to measurement accuracy and rapid information delivery, highlighting the need for a system capable of real-time monitoring and communication. Aims: This study aimed to develop and test Roy’s Flood Alarm Detector (RFAD) for real-time water level detection and remote flood monitoring. Results: The developed system measured water levels using an ultrasonic sensor, classified conditions into safe, alert, and emergency categories, activated visual and audio warnings at predefined thresholds, and transmitted notifications and images through Telegram. The ESP32-CAM successfully supported remote monitoring, while fuzzy logic was utilized to process water-level data. Novelty: The study integrates ESP32-CAM technology, ultrasonic sensing, fuzzy logic, camera-based visual verification, and Telegram communication within a single flood warning platform. Implications: The proposed system provides timely flood information that can support preventive actions and monitoring activities in flood-prone communities.Highlights: Real-time water-level monitoring was achieved through ultrasonic sensing and remote communication. Automatic alerts were generated using visual indicators, buzzer signals, and mobile notifications. Camera-based verification p Keywords: ESP32-CAM; Flood Warning System; Fuzzy Logic; Ultrasonic Sensor; Telegram Notification
Risk Control Analysis Embroidery Process Using Failure Mode and Effect Analysis and Fault Tree Analysis Inggit Marodiyah; Rendy Hadi Saputra
International Journal on Orange Technologies Vol. 8 No. 3 (2026): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31149/ijot.v8i3.5664

Abstract

The embroidery industry is highly competitive, requiring companies to produce high-quality products. However, the embroidery process still exhibits a relatively high level of risk. From July to December, total production reached 22,000 units, with 1,200 units being defective, or approximately 5.45%. This study aimed to determine the highest risk level in the embroidery process using the Failure Mode and Effect Analysis (FMEA) method, analyze the root causes using Fault Tree Analysis (FTA), and provide recommendations for improvement. The results revealed seven types of risks in the embroidery process. Based on the FMEA analysis, the first highest risk was the embroidery machine suddenly stopping (RPN 432), the second was thread breaking during operation (RPN 384), and the third was tangled or clumped embroidery during the installation process (RPN 252). The FTA analysis indicated that the main causes stemmed from machine factors and production process settings. Recommendations for improvement include re-inspecting the machine to prevent failures and re-inspecting before production
Product Quality Control of Shoes Using Statistical Process Control and Fault Tree Analysis Methods Inggit Marodiyah; Noor Zakki Kurniawan Ujisantoso
International Journal on Orange Technologies Vol. 8 No. 3 (2026): International Journal on Orange Technologies (IJOT)
Publisher : Research Parks Publishing LLC

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

Abstract

PT X is a shoe manufacturing company in Sidoarjo, East Java that produces shoes. The company still faces a product defect rate that exceeds the quality standard of 5%, with an average defect rate of 8.11% so that systematic quality control is needed. This study aims to analyze the dominant types of shoe product defects and identify their root causes. The Statistical Process Control (SPC) method is a method used to ensure that each production process runs according to standards so that the resulting product meets consumer quality requirements, while Fault Tree Analysis (FTA) is a top-down analysis that traces cause-and-effect relationships to break down peak events to their root causes, and provide recommendations for improvement. Research data was obtained through observation, interviews, and production and defect data for the period May–October 2025. The results showed that the most dominant type of defect in the shoe production process was untidy stitching of 10,326 pieces. The causes came from human and machine factors, such as lack of operator accuracy, machine setting errors, and worn machine component conditions that caused product defects. To reduce this, recommendations for improvements are provided, such as improving operator skills and regular machine maintenance and adjustments.
Co-Authors A. Miftakhurrohmat Aditya Yoga Pratama Aidah Fidayati Ali Akbar Apriliana Sari, Indah Atikha Sidhi Cahyana Aulia Putri Ramdhani Boy Isma Putra Budi, Merselina Juli Dwi Setia Cindy Taurusta Daud, Nathan Dewi Fortuna Kusuma Dhita Anggraeni Fachrudin, Moch Fais fadhila, Moh. Rizki Hana Catur Wahyuni Hartanti, Lusia Permata Sari Indung Sudarso Intan Rohma Nurmalasari Kurnianingtyas, Diva Layyinatus Saniyyah Lusia Permata Sari Hartanti Muhammad Thariq Jabal Nurdin Natasya Dwi Puspitasari Noor Zakki Kurniawan Ujisantoso Nur Janah, Ragillia Fitri Nur Ravita Hanun Paramitha Amelia Kusumawardani Prasetyo, Doni Prasetyo, Doni Prasetyo Pratama, Aditya Yoga Putera, Alfien Ramadhan Syach Rendy Hadi Saputra Ribangun Bamban Jakaria Risa’ida Dwi Mufidah Rizky Eka Febriansah Roy Andi Subagia Ryan Ardiansyah Saputri, Irmayanti Dwi Sari Wulandari, Indah Apriliana Sari, Indah Apriliana sisiliani, fitria trisna Solikha, Nanda Rochimatus Tedjo Sukmono Vitara, Dhea Alinda Widhianingsih, Wiwik Wiwik Widhianingsih Wiwik Widhianingsih Yusrilda Maharani