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
7 Documents
Search results for
, issue
"Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [May]"
:
7 Documents
clear
<![CDATA[Development of a Parking System Using the High Sensitive R503 Fingerprint Sensor for Sequential Search Algorithm Based Customer Detection ]]>
<![CDATA[Suhartono]]>;
<![CDATA[Jumadi M Parenreng]]>;
<![CDATA[Fahri Syafriandi K]]>;
<![CDATA[Satria Gunawan Zain]]>;
<![CDATA[Iwan Suhardi]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [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.v3i2.586
<![CDATA[Today's technological developments are very sophisticated. It can be seen with various innovations in this era, from simple innovations to innovations that are trending in the world. Parking is a condition where the driver places his vehicle in a parking lot. The parking system using the Radio Frequency Identification (RFID) system has become a technology applied to parking systems, by facilitating and providing security to customers when parking, even though they have used an RFID card, the drawbacks of the system are that anyone who has an RFID card can issue the owner's vehicle another by using the same RFID card. The solution to the lack of an RFID-based parking system is by using the High Sensitive R503 Fingerprint Sensor which will make security much better than using an RFID card, by applying the Sequential Search Algorithm to detect customers in fingerprint registration applications and using the Fingerprint R503 sensor with data verification speed. average 0.78 Second to open the parking portal.]]>
<![CDATA[Development of Smart Parking Systems using RFID Sensors for Online Verification in Different Areas ]]>
<![CDATA[Andi Dhetryansah]]>;
<![CDATA[Penulis Kedua]]>;
<![CDATA[Penulis ketiga]]>;
<![CDATA[Penulis keempat]]>;
<![CDATA[Penulis kelima]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [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.v3i2.587
<![CDATA[This research aims to develop an intelligent parking system with online authentication in different areas using RFID sensors and to confirm the development results of the system through functional tests. This research is research and development (R&D) using a prototype model. The data were then analyzed using qualitative descriptive analysis techniques. The result of this study is an intelligent parking system that uses RFID sensors for online authentication in different areas, and the test results show that the average card authentication time at parking portals in different areas is 2.3 seconds. Based on the test results, the resulting smart parking system using RFID sensors for online verification in different areas can work as expected.]]>
<![CDATA[Development Of an Intelligent Clothes Drying System with Real-Time Monitoring and Control ]]>
<![CDATA[Girish Kurkure]]>;
<![CDATA[Shivangi Ramani]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [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.v3i2.599
<![CDATA[The unpredictable climate and the increasing need for clean and dry clothes have made it challenging for individuals to perform daily tasks such as laundry. The high costs of using a laundry service and the difficulty of drying clothes outdoors or indoors make it imperative to develop an innovative solution to tackle this problem. This research proposes an intelligent IoT device that incorporates a dryer hanger with AI analytics to track the status of clothes and dry them effectively and efficiently. The device is designed to ensure safety and prevent unpleasant odors caused by mold growth and pollen. The proposed solution is particularly beneficial for individuals who are disabled or have a busy schedule as it eliminates the need to check the status of clothes being dried frequently. The device's effectiveness will be assessed by conducting experiments to evaluate its drying speed, energy consumption, and safety. The study results will provide insight into the device's feasibility and potential impact on mitigating the challenges associated with laundry tasks.]]>
<![CDATA[Implementation of Smart Farming for Oyster Mushroom Cultivation Based on Wireless Sensor Network Using ESP8266 ]]>
<![CDATA[Abdul Wahid]]>;
<![CDATA[Dimas Syahbani]]>;
<![CDATA[Fhatiah Adiba]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [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.v3i2.610
<![CDATA[Internet of Things (IoT) technology can facilitate daily work in various fields. This study aims to implement smart farming for oyster mushroom cultivation based on Wireless Sensor Network (WSN) and ESP8266. The sensors used are temperature and humidity sensors with NodeMCU ESP8266 as a microcontroller so that they can take advantage of the Internet of Things (IoT) concept. The design of the prototype tool is designed in the form of a prototype box. The prototype box has 2 rooms that aim to apply the Wireless Sensor Network (WSN) method, so that data in each different room can be retrieved and then sent the data to the website. Tests were carried out to measure the comparison of temperature and humidity sensors with manual measurement tools. The results of this study show an absolute error average of 0.606% for temperature data and an absolute error of 0.627% for humidity data. This shows that the overall system is good and responsive.]]>
<![CDATA[Internet of Things: A Hypothetical and Prototyping Platform for CRASP Methodology ]]>
<![CDATA[Gopikrishna Tatapudi]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [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.v3i2.619
<![CDATA[The construction industry has always been considered one of the most dangerous industrial sectors. Construction workers are often exposed to considerable risks, including falling from heights, unguarded machinery, or being stuck by heavy construction equipment. The construction business employs both skilled and unskilled laborers susceptible to accidents and health hazards on the construction site. Numerous accidents occur at construction sites despite the existence of labor safety rules. A Korean case study statistics showed the significance of construction health and safety management. By adopting CRASP methodology and applying innovative methods such as the intervention of ICT and the IoT, i.e., the prototype development through the Arduino platform could implement the automated features of construction health and safety management features. This research concludes that the CRASP conceptual methodology could be adaptable that drives the manifestation of IoT-based prototyping. IoT-based prototype functional features showed the feasibility of implementing automated construction health and safety management on-site.]]>
<![CDATA[Prevention practices accounting fraud in managing village-owned business units and its approach using AI ]]>
<![CDATA[Desak Nyoman Sri Werastuti]]>;
<![CDATA[Anantawikrama Tungga Atmadja]]>;
<![CDATA[Lucy Sri Musmini]]>;
<![CDATA[I Made Pradana Adiputra]]>;
<![CDATA[Agung Sutoto]]>;
<![CDATA[A.Nururrochman Hidayatulloh]]>;
<![CDATA[Eko Sudarmanto]]>;
<![CDATA[Purwanti Purwanti]]>;
<![CDATA[Nur Wahyuning Sulistyowati]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [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.v3i2.623
<![CDATA[This study explores the practice of preventing accounting fraud in village-owned business units. The method used in this research is descriptive qualitative, and the approach is Artificial Intelligence (AI). For the descriptive qualitative methodology, the primary informants are several administrators of village-owned business units. The results of this study are two approaches, and the first is the conventional way, namely prevention carried out through work culture, opportunity removal, and financial report assessment; the 2nd approach is through technology or Artificial Intelligence applications. This research implies that work culture, elimination of opportunities, and evaluation of financial statements can prevent accounting fraud significantly if it is strengthened in written regulations. Bumdes managers need to make standard operating procedures in their activities. The AI approach results in Automated Data Analysis, Real-time Monitoring, Document Verification, and Automated Reporting System.]]>
<![CDATA[A Smart Water Tank for Control and Monitoring Based on IoT Technology ]]>
<![CDATA[Jumadi M. Parenreng]]>;
<![CDATA[Mustari S Lamada]]>;
<![CDATA[Nurul Isra Humaira Baktiar]]>;
<![CDATA[Fhatiah Adibah]]>;
<![CDATA[Andi Akram Nur Risal]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 3 No. 2 (2023): Volume 3 Issue 2, 2023 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[This research is a Research and Development study, developing a tool to overcome water wastage and monitor water conditions in the tandon. This tool uses water flow, pH, and turbidity sensors connected to a telegram bot and LCD. This research applies a prototype model that includes problem identification, needs analysis, literature study, tool design, program coding, tool installation, and tool testing. Functional testing of the tool shows that all components function correctly. From the test results obtained comparison test of measuring water volume entering using the water flow in the sensor and measuring cup results in an MPE of 0.067, while measuring water volume exiting using the water flow out the sensor and measuring cup results in an MPE of 0.048. Comparison test of measuring pH using a pH sensor and pH meter results in an MPE of 0.067. Measuring water turbidity level using a turbidity sensor shows the ability of the sensor to measure turbidity on various water samples. The telegram bot, LCD monitoring, and automatic water pump systems work well.]]>
