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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control International Journal of Robotics and Control Systems Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Jurnal Medika: Medika
Shahrum Shah Abdullah
Universiti Teknologi Malaysia
Aerospace Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health

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Flood Warning and Monitoring System Utilizing Internet of Things Technology Mohd Sabre, Mohamad Syafiq; Abdullah, Shahrum Shah; Faruq, Amrul
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 4, No 4, November 2019
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (656.948 KB) | DOI: 10.22219/kinetik.v4i4.898

Abstract

Flooding is one of the major disasters occurring in various parts of the world including Malaysia. To reduce the effect of the disaster, a flood warning and monitoring are needed to give an early warning to the victims at certain place with high prone to flood. By implementing Internet of Thing technology into the system, it could help the victim to get an accurate status of flood in real-time condition. This paper is develop a real-time flood monitoring and early warning system using wireless sensor node at a high prone area of flood. This system is based on NodeMCU based technology integrated using Blynk application. The wireless sensor node can help the victims by detecting the water levels and rain intensity while giving an early warning when a flood or heavy rain occurs. Basically, the sensor node consists of ultrasonic sensor and rain sensor controlled by NodeMCU as the microcontroller of the system which placed at the identified flood area. Buzzer and LED started to trigger and alert the victim when the flood had reached certain level of hazard. Data detected from the sensors are sent to the Blynk application via wireless connection. Victim will get to know the current status of flood and rain by viewing the interface and receiving push notification that available in Blynk application via IOS or Android smartphones. The flood level’s data sent to the email could help various organizations for further improvement of the system and flood forecasting purposes. After a test had been conducted, it was found that this prototype can monitor, detect and give warning with notification to the victim earlier before the occurrence of floods.
Flood Disaster and Early Warning: Application of ANFIS for River Water Level Forecasting Faruq, Amrul; Marto, Aminaton; Izzaty, Nadia Karima; Kuye, Abidemi Tolulope; Mohd Hussein, Shamsul Faisal; Abdullah, Shahrum Shah
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 6, No. 1, February 2021
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v6i1.1156

Abstract

Intensively monitoring river water level and flows in both upstream and downstream catchments are essential for flood forecasting in disaster risk reduction. This paper presents a developed flood river water level forecasting utilizing a hybrid technique called adaptive neuro-fuzzy inference system (ANFIS) model, employed for Kelantan river basin, Kelantan state, Malaysia. The ANFIS model is designed to forecast river water levels at the downstream area in hourly lead times. River water level, rainfall, and river flows were considered as input variables located in upstream stations, and one river water level in the downstream station is chosen as flood forecasting point (FFP) target. Particularly, each of these input-output configurations consists of four stations located in different areas. About twenty-seven data with fifteen minutes basis recorded in January 2013 to March 2015 were used in training and testing the ANFIS network. Data preprocessing is done with feature reduction by principal component analysis and normalization as well. With more attributes in input configurations, the ANFIS model shows better result in term of coefficient correlation ( ) against artificial neural network (ANN)-based models and support vector machine (SVM) model. In general, it is proven that the presented ANFIS model is a capable machine learning approach for accurate forecasting of river water levels to predict floods for disaster risk reduction and early warning.
Recent Developments and Future Prospects in Collision Avoidance Control for Unmanned Aerial Vehicles (UAVS): A Review Harun, Mohamad Haniff; Abdullah, Shahrum Shah; Aras, Mohd Shahrieel Mohd; Bahar, Mohd Bazli; Ali@Ibrahim, Fariz
International Journal of Robotics and Control Systems Vol 4, No 3 (2024)
Publisher : Association for Scientific Computing Electronics and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/ijrcs.v4i3.1482

Abstract

The industry has been significantly enhanced by recent developments in UAV collision avoidance systems. They made collision avoidance controllers for self-driving drones both affordable and hazardous. These low-maintenance, portable devices provide continuous monitoring in near-real time. It is inaccurate due to the fact that collision avoidance controllers necessitate trade-offs regarding data reliability. Collision avoidance control research is expanding significantly and is disseminated through publications, initiatives, and grey literature. This paper provides a concise overview of the most recent research on the development of autonomous vehicle collision avoidance systems from 2017 to 2024. In this paper, the state-of-the-art collision avoidance system used in drone systems, the capabilities of the sensors used, and the distinctions between each type of drone are discussed. The pros and cons of current approaches are analyzed using seven metrics: complexity, communication dependency, pre-mission planning, resilience, 3D compatibility, real-time performance, and escape trajectories.
Design of a Body with Depth Control System for an Underwater Glider Ghani, Muhamad Fadli; Abdullah, Shahrum Shah
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 3 No 1 (2014): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v3i1.520

Abstract

The underwater glider is used for deep water to observe large areas with minimal use of energy and move through the water by changing the body weight. The glider contained a cylindrical body attached with two wings and a fix tail. The controller has been designed to use a comparator circuit integrate with a pressure sensor to control the depth level. The pressure sensor mounted on the glider used to sense the underwater pressure. For the beginning, this underwater glider is limited to a depth of 0-10 meters.
Disaster Risk Mapping of Village Tourist Attractions in an Effort to Improve Safety and Comfort Hilman, Yusuf Adam; Abdullah, Shahrum Shah; Tricana, Deny Wahyu; Saskia, Meilia Gita; Putri, Larasati Kansa Widya
Jurnal Medika: Medika Vol. 4 No. 4 (2025)
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/ncgj9m39

Abstract

Cleanliness, comfort, and safety are essential factors that must be met to ensure a tourist destination is suitable for visitors. Sometimes, disasters become one of the causes of failed destination management, as they render the area unsafe and uncomfortable. Therefore, a mitigation plan is necessary in tourist areas, making the mapping of existing tourist attractions crucial for disaster planning efforts. Desa Biting, Badegan, Ponorogo is a village with 9 (nine) tourist destinations, most of which are natural tourist attractions that have the potential to cause disasters. Given this situation, the disaster management team from Muhammadiyah University of Ponorogo, in collaboration with the village authorities, conducted several activities to create a disaster risk map. The methods used include: 1) conducting focus group discussions (FGD) with all stakeholders to discuss disaster potential, 2) conducting disaster mapping by identifying disaster-prone areas, 3) establishing a disaster response task force by leveraging existing institutional frameworks, and 4) installing disaster maps in tourist areas. From these activities, three dominant potential hazards were identified, namely forest fires, landslides, and floods. Based on the mapping results, mitigation efforts can be carried out to complement the organisational structure and supporting infrastructure. We recommend conducting a study on institutional readiness in preparing for disasters.
Co-Authors Ali@Ibrahim, Fariz Aminaton Marto Amrul Faruq Aras, Mohd Shahrieel Mohd Bahar, Mohd Bazli Harun, Mohamad Haniff Izzaty, Nadia Karima Kuye, Abidemi Tolulope MOHD HUSSEIN, SHAMSUL FAISAL Mohd Sabre, Mohamad Syafiq Muhamad Fadli Ghani Putri, Larasati Kansa Widya Saskia, Meilia Gita Tricana, Deny Wahyu Yusuf Adam Hilman, Yusuf Adam