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All Journal JAIS (Journal of Applied Intelligent System) Jurnal Algoritma
Suhendar, Heri
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Computer Science & IT

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Road Crack Detection using Yolo-V5 and Adaptive Thresholding Suhendar, Heri
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.9437

Abstract

Road crack detection is a critical aspect of infrastructure maintenance, ensuring the safety and durability of roadways. This study presents an innovative approach leveraging image processing techniques, YOLO-V5 model, and adaptive thresholding for efficient and accurate road crack detection. The utilization of adaptive thresholding enables the system to handle complex lighting variations and diverse road textures, enhancing the precision of crack identification. Integrating the YOLO-V5 model further facilitates real-time detection and precise localization of road crack regions, contributing to effective and timely maintenance strategies. The research findings underscore the robustness and efficacy of the proposed methodology, emphasizing its potential for enhancing road safety and durability. 
Rancang Bangun Aplikasi Sistem Monitoring Konsumsi Energi Listrik kWh Berbasis Web Baswardono, Wiyoga; Suhendar, Heri; Almunawar, Moh. Rifki
Jurnal Algoritma Vol 21 No 2 (2024): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.21-2.1716

Abstract

Listrik adalah kebutuhan esensial yang sangat penting bagi semua orang serta memiliki peran krusial dalam berbagai aktivitas dan pembangunan ekonomi. Konsumsi energi listrik per kapita di Indonesia terus meningkat setiap tahunnya, mencapai 1.109 kWh pada kuartal III tahun 2021, oleh karena itu diperlukan sistem monitoring penggunaan energi listrik yang efektif. Sistem ini dirancang untuk memonitor jumlah penggunaan listrik yang diukur oleh kWh meter. Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi berbasis web untuk memantau konsumsi energi listrik, yang diharapkan dapat memenuhi kebutuhan pengguna, meningkatkan efisiensi penggunaan energi, dan membantu mengurangi biaya listrik. Berdasarkan penelitian-penelitian sebelumnya, sistem monitoring yang ada seringkali tidak menyediakan informasi secara real-time, kurang dalam hal antarmuka pengguna yang mudah diakses, dan tidak terintegrasi dengan baik dengan perangkat mobile. Penelitian ini menggunakan metodologi Extreme Programming (XP) yang meliputi tahapan perencanaan, perancangan, pengkodean, dan pengujian. Hasil penelitian memberikan solusi atas masalah monitoring listrik di perusahaan, memungkinkan monitoring penggunaan listrik secara online dengan fitur-fitur yang lebih responsif, terintegrasi, dan real-time.
Pengembangan Alat Penyiraman Otomatis Smart Plant Berbasis Internet of Things Sukirno; Suhendar, Heri; Nur’aini, Shifa
Jurnal Algoritma Vol 22 No 1 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-1.1949

Abstract

Plants will grow better and produce benefits forother living things with regular watering. An Internet of Things (IoT)-based plant watering device is a modern solution that utilizes technology to automate and improve plant watering efficiency. The urgency of this research is to help optimize water usage and facilitate plant empowerment with integrated technology based on IoT. The purpose of this research is to develop an IoT-based smart plant automatic watering tool. The novelty is in the system design method and the object under study in the form of light efficiency and speed of the plant nutrition control system. Analysis in data processing with artificial intelligence. The use of WIMOS ESP8266 DI microcontroller and monitoring using Blynk integration. The method used in this research is the experimental method. Designing an IoT-based smart plant automatic watering device. The system design will produce information about soil moisture from the DHT22 sensor then displayed on the Blynk LCD. The integration of IoT, Blynk and data analysis using artificial intelligence provides a new contribution, with monitoring and management of dara in real time so that information is faster and more accurate.
Co-Authors Almunawar, Moh. Rifki Baswardono, Wiyoga Nur’aini, Shifa SUKIRNO