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Design and Implementation of Update Script in the IoT-Based Smart Indoor Farming System Module at PT Inastek Using Over-the-Air Programming Aditya, Tomi; Dhewa, Oktaf Agni
Media of Computer Science Vol. 1 No. 2 (2024): December 2024
Publisher : CV. Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mcs.v1i2.201

Abstract

Extreme climate change significantly impacts Indonesia’s agricultural sector, a country with a large agrarian economy. Reduced crop productivity and in- creased risk of pest infestations threaten national food security. This study aims to develop a smart indoor farming system based on the Internet of Things (IoT) to enhance agricultural resilience and competitiveness through efficient technology. The method involves designing a system that integrates hardware and software, applying Over-The-Air (OTA) technology to update firmware on the ESP32 microcontroller. The system includes sensors, actuators, and a Human Machine Interface (HMI) that allows real-time monitoring and con- trol of plant growth conditions. Testing and validation were carried out to ensure the system’s reliability and stability. The results show that the in- tegration of OTA technology into the smart indoor farming system enables efficient firmware management, reducing the need for physical intervention, and improving flexibility in system maintenance. This system enhances the efficiency of managing plant growth in indoor environments and supports con- tinuous operational adjustments to dynamic conditions.
SISTEM MITIGASI LONGSOR BERBASIS INTERNET OF THINGS (IoT) PADA KELOMPOK SI BEJO DI KELURAHAN KALIREJO, KULON PROGO: SISTEM MITIGASI LONGSOR BERBASIS INTERNET OF THINGS (IoT) PADA KELOMPOK SI BEJO DI KELURAHAN KALIREJO, KULON PROGO Yuli Fajarwati; Elviana; Oktaf Agni Dhewa
Bangun Rekaprima Vol. 12 No. 1 (2026): April 2026
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/bangunrekaprima.v12i1.7523

Abstract

Kalirejo Village, Kokap Subdistrict, Kulon Progo Regency, is one of the areas with a high level of vulnerability to landslides due to the geological conditions and hilly topography as well as high rainfall. The lack of vulnerability zoning maps and evacuation routes makes it difficult for the community to take quick and appropriate mitigation measures. This Community Service Program (PkM) aims to develop a landslide mitigation system based on Internet of Things (IoT) technology through the Sibejo Rescue application and by installing evacuation signs at strategic points. The implementation method includes a field survey to identify locations prone to landslides, soil characteristic testing, vulnerability mapping using a Geographic Information System (GIS), designing the IoT-based Sibejo Rescue application, testing the application with village officials, and installing evacuation route signs and assembly points. The results of the activity showed that the landslide vulnerability map was successfully compiled into three categories (low, medium, high) and integrated into the Sibejo Rescue application. Limited trials with village officials showed that the application can display spatial information in the form of vulnerability maps, evacuation routes, and shelter points functionally. In addition, the installed evacuation signs facilitate the identification of Rescue routes when a disaster occurs. The conclusion of this activity is that the integration of vulnerability maps, IoT applications, and evacuation signs can be a first step towards improving landslide mitigation in Kalirejo, although broader public awareness campaigns are still needed in the next phase
Exploring RRT and BiRRT Algorithms: A Review and Simulation-Based Comparison for Fixed-Wing UAV Path Planning Pratama, Gilang Nugraha Putu; Dhewa, Oktaf Agni; Jati, Mentari Putri; Hidayatulloh, Indra; Gunawan, Teddy Surya; Gunawan, Syaiful Ardy
Buletin Ilmiah Sarjana Teknik Elektro Vol. 8 No. 2 (2026): April
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v8i2.14511

Abstract

Path planning plays a vital role in ensuring the safe and efficient navigation of fixed-wing unmanned aerial vehicles (UAVs), particularly in cluttered and complex environments. The increasing demand for autonomous UAV operations highlights the need for reliable algorithms capable of generating optimal and collision-free trajectories. This study addresses the challenge by reviewing recent uses of the Rapidly-exploring Random Tree (RRT) algorithm in various robotic platforms and navigation tasks. The research contribution of this paper is a comparative analysis of RRT and BiRRT for fixed-wing UAV path planning, quantifying trade-offs between path length, computation time, and obstacle clearance using a real-world 2D urban map. This addresses a gap in the literature, as few studies have directly compared these algorithms specifically for fixed-wing UAV surveillance missions. The methods involve implementing both RRT and BiRRT in a simulated environment where each algorithm is evaluated over 100 runs to measure performance metrics such as path length, computation time, and obstacle clearance. A realistic urban map is used to test the algorithms under consistent starting and goal positions. The results show that both RRT and BiRRT achieve a 100% success rate in finding collision-free paths. BiRRT consistently generates shorter paths and requires less computation time, making it more suitable for time-sensitive missions. However, RRT produces safer trajectories with greater average clearance from obstacles, which is advantageous in environments with high collision risk. The findings demonstrate a clear trade-off between safety and efficiency. In conclusion, BiRRT is recommended for missions where speed and efficiency are prioritized, while RRT is better suited for operations emphasizing safety and obstacle avoidance.