Internet of Things and Artificial Intelligence Journal
Internet of Things and Artificial Intelligence Journal (IOTA) is a journal that is officially under the auspices of the Association for Scientific Computing, Electronics, and Engineering (ASCEE), Internet of Things and Artificial Intelligence Journal is a journal that focuses on the Internet of Things (IoT), ISSN 2774-4353, publishing the latest papers in the IoT field and Artificial Intelligence (AI) i.e., Machine Learning (ML), and Deep Learning (DL)., etc., Topics can be included in this journal : IoT for various applications ( medical, sport, agriculture, smart city, smart home, smart environment, etc.) IoT communication and networking protocols ( LoRa, WiFi, Bluetooth Low Energy, etc.) IoT enabling technologies IoT system architecture IoT with a Recently Sensors Technology IoT with Wireless Sensor Network (WSNs) Technology Cloud-based IoT IoT data analytics IoT Security IoT Management Services IoT with Low Power and Energy Harvesting Future technologies for IoT Future Internet design for IoT Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) Drone or UAV, and IoT Analyzes IoT with a Financial Technology (FINTECH) Managemen approach IoT for Education Technology IoT for Industry Computers & Security :: computer security, audit, control and data integrity in all sectors - industry, commerce and academia Computer application for Economy, Finance, Business, Micro, Small & Medium Enterprises (MSMEs), Accounting, Management, and other sectors Review articles on international & national legal rules in the use of computer software, internet of things, frequency usage, etc. Internet of Things and Artificial Intelligence Journal has a frequency of being published 4 times a year or 4 issues every year (February, May, August, and November) with the Peer review process.
Articles
15 Documents
Search results for
, issue
"Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May]"
:
15 Documents
clear
<![CDATA[Telegram-Based Design of Automatic Plant Watering System ]]>
<![CDATA[Sudimanto, Sudimanto]]>;
<![CDATA[Setiawan, Dhanny]]>;
<![CDATA[Christian, Marcel]]>;
<![CDATA[Hidayat, Rokhman]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.721
<![CDATA[Regular watering is a very important activity in plant maintenance because plants need water to carry out photosynthesis and obtain the nutrients necessary to grow and develop properly. An automatic watering tool has been designed that can perform watering commands remotely. This automatic watering instrument is achieved by using a soil moisture sensor to measure the water content or soil moisture and a DHT22 sensor that can detect air temperature and humidity. Soil moisture information is sent via Telegram, using the Telegram bot feature on this automatic plant watering tool, so that the tool can be controlled remotely. This plant monitoring can save time and energy and maintain plant quality more effectively. Plant conditions can also be checked periodically to ensure that the plant's water needs are being properly met. This automatic plant watering solution therefore has the potential to increase productivity and efficiency in case of irregular watering of the plants.]]>
<![CDATA[360-degree Image Processing on NVIDIA Jetson Nano ]]>
<![CDATA[Satyawan, Arief Suryadi]]>;
<![CDATA[Utomo, Prio Adjie]]>;
<![CDATA[Puspita, Heni]]>;
<![CDATA[Wulandari, Ike Yuni]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.722
<![CDATA[A wide field of vision is required for autonomous electric vehicles to operate object-detecting systems. By identifying objects, it is possible to imbue the car with human intelligence, similar to that of a driver, so that it can recognize items and make decisions to prevent collisions with them. Using a 360-degree camera is a wonderful idea because it can record events surrounding the car in a single shot. Nevertheless, 360º cameras produce naturally skewed images. To make the image appear normal but have a bigger capture area, it is required to normalize it. In this study, NVIDIA Jetson Nano is used to construct software for 360-degree image normalization processing using Python. To process an image in real-time, first choose the image shape mapping that can give information about the entire item that the camera collected. Then, choose and apply the mapping. Using Python on an NVIDIA Jetson Nano, the author of this research has successfully processed 360-degree images for local and real-time video as well as image geometry modifications.]]>
<![CDATA[Multipose to detect Airport Visitor Behavior ]]>
<![CDATA[Iswarawati, N.K.E.]]>;
<![CDATA[Satyawan, Arief. S.]]>;
<![CDATA[Puspita, Heni]]>;
<![CDATA[Utomo, P.A.]]>;
<![CDATA[Putri, R.A.]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.723
<![CDATA[The airport is a strategic place where it involves important activities, namely airplane flights. Airport activities are greatly influenced by the ongoing security within the airport. The thing that affects security in the airport is the possibility of crimes committed by unexpected visitors. The purpose of this research is to observe the airport area, especially airport visitors so that if there are visitors who have the potential to commit crimes, they can be detected properly and further investigation procedures can be carried out. To be able to observe airport visitors and recognize patterns of visitor behavior that have the potential to commit crimes, an airport visitor gesture recognition system can be used. In this thesis, the gesture recognition of airport visitors is done with the multipose estimation method. This method can detect 17 key points on the human body that are used to detect the behavior of airport visitors who have the potential to commit crimes. To develop this system, deep learning algorithms that are currently developing with the help of TensorFlow and architectural models in multipose estimation, namely MobileNetV2, Feature Pyramid Network, and CenterNet, can be used. The experimental results show that the multipose estimation method can recognize human gestures well under several conditions such as the appropriate distance of the human object from the camera and the lighting conditions around the observed human object. It is also seen that from several scenarios, the crime gesture model can be recognized well.]]>
<![CDATA[Innovative Learning Media for Interior Design using Augmented Reality at Vocational High Schools ]]>
<![CDATA[Sahria, Yoga]]>;
<![CDATA[Santoso, Budi]]>;
<![CDATA[Kuat, Tri]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.724
<![CDATA[One aspect of the concept of building design development is interior design. The accuracy of the placement of interior materials is very important for (SMK) students majoring in Building Drawing Engineering. However, it may be difficult to present and organize material in real life. This barrier can be caused by a lack of materials or the ability to see objects from multiple angles. To realize the Vocational Center of Excellence and SMK Bisa programs, augmented reality technology is present as a solution in vocational education. Augmented reality is a technology that allows virtual things to be placed in the real world. The reason for choosing this research topic is that users can interact with virtual things in an augmented reality environment providing them with hands-on experiences. Objects that are displayed in the form of interior materials can be in 3D so that they look as close as possible to the original object. Users can interact and change the location of interior materials directly and realistically using augmented reality applications. The method used in this research is the Lee & Owens Development Model starting from Assessment/analysis, Need assessment, front-end analysis, design, development, Implementation, and Evaluation. The application developed only includes some interior design materials, Design markers have a high level of augmentability, so users will be able to immediately see a 3D model when the marker is scanned, The application has been tested on several smartphones and the results are successful]]>
<![CDATA[Efficiently Estimating Soil Moisture Content: Adopting IoT Technologies ]]>
<![CDATA[Mohanbabu, M.]]>;
<![CDATA[Vasista , T. G.]]>;
<![CDATA[Giridhar, T.]]>;
<![CDATA[Koteswararao, K.]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.725
<![CDATA[Soil moisture plays a major role in agricultural yield, hydrological, and environmental monitoring studies. Soil-moisture’s accurate estimation is important for successfully improving crop yield efficiently using agricultural resources and effectively managing water resources. The current article aims to list different approaches to estimating soil moisture such as using microwave, radar, and sensor-based methods of electronic and communication engineering and also IoT-based methods from computer engineering fields to find the journey of use of state-of-the-art technology methods for measuring soil moisture. Out of the mentioned methods, Sensor & IoT-based method is playing a vital role and is currently being used in advanced countries. Therefore this research is focused on experimenting the water flow control and measurement of soil moisture using sensors on micro-controller-based prototypes. Experiments showed that it is feasible to estimate the requirement of water more accurately than traditional methods. Thus more water savings can be benefited.]]>
<![CDATA[Simulation and Analysis of Network Security using Port Knocking and Intrusion Prevention System on Linux Server ]]>
<![CDATA[Parenreng, Jumadi Mabe]]>;
<![CDATA[Rizal, Fahru]]>;
<![CDATA[Wahyuni, Maya Sari]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.726
<![CDATA[This research aims to design and simulate a network security system using port knocking and an intrusion prevention system (IPS) on a Linux-based server and analyze its security using port scanning, brute force, and DoS attacks. IPS uses inline snort mode with DAQ NFQ. The test results show that port knocking successfully opens and closes the port according to the knock sequence so that only those who know the knock sequence can access the port. The port scanning, SSH, and FTP Brute Force test results were successfully detected by IPS so that the attacker could not obtain any information. DoS testing with LOIC increased server CPU and memory usage, but after IPS rules were applied, usage stabilized. DoS testing with slowhttptest makes the webserver inaccessible to users, but after the IPS rule is applied, web access runs normally. In conclusion, IPS was successful in preventing all attacks because the attack packets complied with IPS rules so they were detected as threats and dropped by IPS. Test results of the Telegram monitoring system show that the system succeeded in sending real-time attack notifications with an average time difference of 2.9 seconds, and the report, start, and stop features worked as expected.]]>
<![CDATA[Radar-Based Tsunami Detection: A Comprehensive Review ]]>
<![CDATA[Adiprabowo, Tjahjo]]>;
<![CDATA[Ramdani, Dani]]>;
<![CDATA[Daud, Pamungkas]]>;
<![CDATA[Andriana, Andriana]]>;
<![CDATA[Ali, Erfansyah]]>;
<![CDATA[Nasrullah, Nanang]]>;
<![CDATA[Zulkarnain, Zulkarnain]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.727
<![CDATA[A tsunami is a large sea wave caused by an earthquake or underwater landslide. Timely detection of tsunamis is critical to saving lives and minimizing damage to infrastructure. Radar has proven to be an effective tool for tsunami detection. This comprehensive review discusses the use of radar for tsunami detection. The two types of radar discussed are HF (High Frequency) radar and DART (Deep ocean Assessment and Reporting of Tsunamis) radar. HF radar can detect tsunamis from long distances in real-time. However, HF radar is susceptible to electromagnetic interference. The DART radar is specifically designed for deep sea tsunami detection. This radar provides real-time information about tsunami waves. However, the DART radar requires expensive marine infrastructure to install and operate. This review concludes that HF radar and DART radar have their respective advantages and disadvantages. The combination of both types of radar can provide a more comprehensive solution for tsunami detection. Further research is needed to improve the reliability of radar-based tsunami detection systems.]]>
<![CDATA[Integration of Telkom ISP and 3 LTE Using PCC Method to Improve Internet Connection Stability ]]>
<![CDATA[Putra, Muh. Fardika Irwan Pratama]]>;
<![CDATA[Parenreng, Jumadi Mabe]]>;
<![CDATA[Yahya, Muhammad]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.728
<![CDATA[This research focuses on improving internet connection stability at the Network Laboratory of JTIK, Faculty of Engineering, Universitas Negeri Makassar. The study aims to address the challenges of disruptions and instability frequently faced by users of Telkom WiFi in the laboratory, causing significant disruptions in internet activities. This instability is exacerbated by simultaneous internet usage, leading to network overload and bandwidth competition among users, ultimately reducing the overall network performance. As a solution, the research proposes the implementation of a network system that integrates Telkom ISP and 3 LTE using the PCC method. The system is equipped with a failover mechanism that automatically redirects the network connection to the active ISP when issues are detected. Additionally, the research categorizes users into admin lecturers and students, imposing bandwidth limitations specifically for students to prevent excessive network traffic. Three in-depth testing scenarios were conducted, demonstrating that the system smoothly redirects internet connections to the active ISP during issues, ensuring uninterrupted and effective internet access for users.]]>
<![CDATA[Hybrid Electrical Interchange System in IoT-Based Egg-Hatching Equipment ]]>
<![CDATA[Parenreng, Jumadi Mabe]]>;
<![CDATA[Wahyuni , Maya Sari]]>;
<![CDATA[Lia, Resky Amalia]]>;
<![CDATA[Muliadi, Muliadi]]>;
<![CDATA[Adiba, Fhatiah]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.730
<![CDATA[Manual egg hatching still requires time and human labor every day to regulate temperature, adjust humidity, and turn the eggs. This egg hatcher works using solar panels as an alternative energy source. This study aims to design and determine the results of the effectiveness of testing the hybrid electrical interchange system on IoT-based egg hatchers. The research method used is the R&D method. Based on the results of the research, switching energy sources is declared valid because the tools and applications are integrated. The average voltage difference in the battery in charging condition by turning on the tool is -0.01 Volts, proving that even though it is in charging condition when the tool is turned on, the voltage in the battery will still decrease. The measurement results of the average daily energy demand on the hatchery by applying a hybrid electrical interchange system is 0.142 kWh and without applying the system 0.163 kWh, proving by applying a hybrid electrical interchange system device more efficient use of PLN electricity due to assistance from PLTS. On-off automation of lights and fans can keep the temperature at an ideal state of 37°C-39°C, thus affecting the egg-hatching process. On-off automation using a relay connected to a mist maker also affects keeping humidity at 55%-65% humidity, humidity also affects the egg-hatching process, where the success rate in hatching eggs is maximized. Based on the results of tests carried out by the hybrid electrical interchange system on IoT-based egg hatchers, it can be concluded that this tool can maintain the stability of temperature and humidity automatically in egg hatchers well until the eggs hatch.]]>
<![CDATA[Mobile App for IoT-Based Home Security System with Fingerprint Access Control ]]>
<![CDATA[Wahid, Abdul]]>;
<![CDATA[Hidayat, Rahmat]]>;
<![CDATA[Riska, Muhammad]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 4 No. 2 (2024): Volume 4 Issue 2, 2024 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31763/iota.v4i2.732
<![CDATA[This study investigates the development and evaluation of an Android-based security system for residential areas, focusing on entrance and exit gate control. Recognizing the limitations of existing systems, we propose an "IoT-based Fingerprint Security Village" application. The system utilizes a prototype development model informed by data collected through interviews, questionnaires, and observations. The application allows residents to monitor and access gates using fingerprint scanners, enhancing security and convenience. To ensure quality, the system underwent rigorous testing based on the ISO 25010 software testing standard. Testing encompassed five key aspects, Functional Suitability: The application achieved a perfect score, indicating it flawlessly performs its intended functions. Portability: The application successfully functioned on all 14 tested Android devices. Performance Efficiency: CPU usage remained exceptionally low (average 0.1%, max 5.5%), and memory usage (average 58.2 MB, max 86.5 MB) demonstrated efficient resource utilization. Security: Testing revealed a low-medium security risk, highlighting areas for potential improvement. Usability: The user-friendliness test yielded a very high score (92%), placing it in the "Very Feasible" category. These results confirm that the "IoT-based Fingerprint Security Village" application effectively meets all evaluated aspects of the chosen software testing standard.]]>
