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All Journal Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Techne : Jurnal Ilmiah Elektroteknika Jurnal Agrotek Tropika Kontribusia : Research Dissemination for Community Development E-Link: Jurnal Teknik Elektro dan Informatika SEMAR Journal of Soft Computing Exploration Indonesian Vocational Research Journal IJENSET
Heri Ardiansyah
Universitas Muhammadiyah Lamongan
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences

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Journal : IJENSET

 1 
Decision Support System for Identifying Fire Prone Areas Using the Fuzzy Analytical Hierarchy Process Method Rahmawati, Nesya Nuur; Aprillya, Mala Rosa; Ardiansyah, Heri
Indonesian Journal of Engineering, Science and Technology Vol. 1 No. 1 (2024): VOL. 01 NO. 01 (JUNE 2024)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v1i1.715

Abstract

Fire is a harmful and difficult-to-control blaze. Recently, the occurrence of fires has often been caused by factors such as human error. This research aims to develop a decision support system to help identify fire-prone areas in the village of Made, Lamongan Regency. The study incorporates several criteria, including distance from water sources, road width, building materials, and population density. Data for this research was collected from all 27 districts, 12 sub-districts, and 476 villages in Lamongan Regency.The development of this system begins with the collection of relevant data, including the distance from water sources, road width, building materials, and population density in the village of Made. The subsequent step involves designing the decision support system using the Fuzzy Analytical Hierarchy Process (FAHP) method. The calculation of fire-prone areas is carried out using the FAHP method. Subsequently, a web-based system is built using the PHP programming language. The results indicate that this system is capable of providing information on fire-prone areas with an average user satisfaction rate of 81.6%.   Keywords-    Decision Support System; FHP; Fire; Lamongan.
Clean Water Recommendation System Based on Water Quality with Turbidity and TDS (Total Dissolve Solid) Sensors Based on Internet of Things (IOT) Arbiansyah, Lutfi; Bianto, Mufti Ari; Ardiansyah, Heri
Indonesian Journal of Engineering, Science and Technology Vol. 1 No. 2 (2024): VOL. 01 NO. 02 (DECEMBER 2024)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v1i2.1014

Abstract

Residents of Khayangan Residence Cepu typically use water from natural sources such as rivers, lakes, and wells, often unaware of the potential dangers posed by contaminated water. To address this, a detection system is proposed to monitor and provide real-time information on water quality using Turbidity and Total Dissolved Solids (TDS) sensors. The system is developed using the Waterfall methodology, which ensures a structured and systematic approach, with each stage of development completed before proceeding to the next. This minimizes errors and enhances the accuracy of the final system. The IoT-based system utilizes Turbidity and TDS sensors connected to an ESP32 microcontroller, which processes data every 3 seconds and displays it on a website. The system measures water quality, with recorded values of PPM at 276, TDS at 0.34, and Turbidity at 16.08. This real-time monitoring system provides a straightforward process for assessing water quality in the housing complex, ensuring that residents have access to safe and clean water. The aim is to empower residents to make informed decisions about water use, thereby enhancing efficiency and safety in daily water consumption. Keywords-  ESP32; Turbidity Sensor; TDS Sensor.
BAP Vehicle Number Plate Character Recognition Using Opencv and Convolutional Neural Network (CNN) Bayu Ajie Prasetyo; Handoyo, Eko; Ardiansyah, Hery
Indonesian Journal of Engineering, Science and Technology Vol. 1 No. 2 (2024): VOL. 01 NO. 02 (DECEMBER 2024)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v1i2.1019

Abstract

This research entitled “Vehicle License Plate Character Recognition Using OpenCV and Convolutional Neural Network (CNN)” aims to develop an Automatic Number Plate Recognition (ANPR) system by integrating OpenCV and CNN. The main focus is the application of the You Only Look Once (YOLO) v8 method to detect objects and text in real-time, and the use of EasyOCR to recognize characters. This system is designed to improve the accuracy and efficiency of vehicle license plate recognition. The results of the study showed an average accuracy level of Precision of 40.5%, Recall 100%, and Accuracy 42.16%. These results show that although the model successfully detects all vehicle license plates (with 100% recall), low precision indicates that there are quite a lot of false positives or errors in detection which results in a decrease in the overall accuracy rate.   Keyword- Automatic Number Plate Recognition; Convolutional Neural Network; Deep Learning, OpenCV; YOLO.
Decision Support System for Prioritizing Road Repairs with Simple Additive Weighting Method Ramadhan, Bayu Putra; Ardiansyah, Heri; Bianto, Mufti Ari; Saputra, Bagus Dwi; Widodo, Aris
Indonesian Journal of Engineering, Science and Technology Vol. 2 No. 1 (2025): VOL. 02 NO. 01 (JUNE 2025)
Publisher : Universitas Muhammadiyah Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38040/ijenset.v2i1.1040

Abstract

The Decision Support System (DSS) is a technology utilized to address the issue of determining road improvement priorities. In this context, DSS will be used to integrate various road assessment criteria and provide recommendations for repair priorities based on proven methods. The aim of this study is to design a decision support system for prioritizing road repairs in Lamongan Regency and to implement this system effectively. The Simple Additive Weighting (SAW) method was chosen for its ability to handle multiple criteria and provide measurable evaluations of alternative solutions. The criteria used in this research include road condition, traffic volume, and socio-economic impact. The results of this system demonstrate a prioritization order for road repairs that can assist in more efficient decision-making, focusing on the most urgent needs. This research is expected to contribute to improving the efficiency of road infrastructure management and to aid authorities in the planning and execution of road repairs. Keywords-- Decision Support System; Road Repair Priority; Simple Additive Weighting.
Co-Authors Abdullah Hakim Gymnastiar Agustina, Rohmatin Ahmad Faris Rachmad Putra Arbiansyah, Lutfi Aris Widodo Bayu Ajie Prasetyo Eko Handoyo Fatahillah Akrom Hanif Azhar Ramadhan M Ainul Mahbubillah Mahbubillah, M. Ainul Mufti Ari Bianto Muhammad Rizky Rahmadani Muhammad Shodiq Muhammad Shodiq, Muhammad Oktaviani, Widya Rahmad Jumadi Rahmawati, Nesya Nuur Ramadhan, Bayu Putra Rohmatin Agustina SAPUTRA, BAGUS DWI Sholikha, Hidayatin Suhaili Suhaili Zufar Faiil Haq