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.
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<![CDATA[Analysis of the Usefulness of the Public Works and Spatial Planning Office Website Using the Webuse Method and Heuristic Evaluation ]]>
<![CDATA[Rosada, Amrina]]>;
<![CDATA[Saikin, Saikin]]>;
<![CDATA[Tantoni, Ahmad]]>
<![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) ]]>
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DOI: 10.31763/iota.v4i2.734
<![CDATA[In this modern era, the existence and usefulness of websites have become an undeniable necessity. The internet has set the stage for websites to become a vital tool in various aspects of life, not only as a means of disseminating information but also as a platform for improving efficiency and economic growth. However, various problems often occur to website users, the lack of notification or feedback after users act. And the lack of information updates. For example on the Website of the Public Works and Spatial Planning Office of West Lombok Regency web. This website still does not use two-way communication commonly called two-way communication, so some problems might arise such as a lack of ability to receive direct feedback from users, and website owners lose the opportunity to understand user needs. To overcome the above problems, the author conducted website usability research using the Heuristic Evaluation Method and the Webuse Method. To improve website usability regarding information services for users. And with the results of the PUPR Office website has shortcomings in providing information updates in the form of announcements and various other information. and the lack of an attractive appearance on the website menu. Therefore, researchers provide recommendations for improvement in providing information to users of the website of the Public Works and Spatial Planning Office of West Lombok Regency.]]>
<![CDATA[Decision Support System for Selecting a Bus Company Using the SMART Method: A Case Study at Nuansa Utama Tour and Travel ]]>
<![CDATA[Febriansyah, Muhammad Adam]]>;
<![CDATA[Latipah, Latipah]]>;
<![CDATA[Damastuti, Natalia]]>;
<![CDATA[Junaedi, Lukman]]>
<![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) ]]>
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DOI: 10.31763/iota.v4i2.736
<![CDATA[The rapid development of bus transportation has a significant impact on the selection of bus companies, especially travel services. Nuansa Utama Tour, a travel service agency, still uses conventional methods in selecting a Bus Company, requiring more time and process. Each Bus Company has its characteristics, so it requires a decision-weighing method that is easy to understand. This research aims to build a system that helps travel owners choose Bus Company recommendations according to the conditions and criteria needed. This system uses the Simple Multi-Attribute Rating Technique (SMART) method to determine the best Bus Company based on various criteria needed. The system development process uses the waterfall method to facilitate systematic design with the simplest possible design and the data used is taken from case study needs through the interview process so that as a result of this system, travel owners get the most Bus Company recommendations according to their needs and the best ranking, and facilitate decision making with a more flexible time before use.]]>
<![CDATA[NMC Lithium Ion Battery Management with Distributed Monitoring Topology ]]>
<![CDATA[Andriana, Andriana]]>;
<![CDATA[Rahman, Sutisna Abdul]]>;
<![CDATA[Arrazaq, Fajar]]>
<![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) ]]>
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DOI: 10.31763/iota.v4i2.739
<![CDATA[Lithium-ion battery management often called BMS (Battery Management System) is a system that controls all operations between the battery and the required load. The advantages of lithium-ion batteries, such as high energy density and long service life, make them highly desirable. Along with the increase in demand, the use of lithium-ion batteries is also increasingly complex, such as in the use of electric vehicles and smart grids. The battery must have the same voltage as the battery when connected directly. Safety and battery life are at stake if this condition is not met. BMS is a solution to this problem. The purpose of this research is to create a BMS that has three main features: monitoring, balancing, and protection. The Nano Microcontroller can be used to build the BMS. For nickel-based battery types, namely NMC (Nickel Manganese Cobalt) batteries, the design of a battery management system with a distributed monitoring and protection architecture can help battery packs be used for various applications and reduce battery pack production costs.]]>
<![CDATA[Design of K-Nearest Neighbor Algorithm For Classification of Credit Loan Eligibility At Senarak Dana Purwakarta Cooperative ]]>
<![CDATA[Kurniawan, Imay]]>;
<![CDATA[Santoso, Purwadi Budi]]>
<![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) ]]>
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DOI: 10.31763/iota.v4i2.742
<![CDATA[Semarak Dana Cooperative is a savings and loan cooperative located in Purwakarta that has experience lending money to its members as many as 162 money lending transactions. However, there are 26 instances of bad debts. To avoid bad debts, the cooperative needs to classify loans to its members. Classification is done by using the K-Nearest Neighbor (KNN) method based on the attributes of employment, income, age, credit amount, term, and collateral value. Data taken from as many as 162 members are sorted into 2 parts, namely 149 transactions used as training data and 13 transactions used as testing data. In addition, the data is also sorted into two classes, namely 136 current classes and 26 bad classes. The KNN process consists of four stages. First, determine the parameter K nearest neighbor distance. The second stage is to calculate the distance between testing data and training data using Euclidean distance. The third stage sorts the distance data that has been calculated using selection sort in order from the smallest to the largest value of K. The fourth stage calculates the largest number of classes for the largest number of classes set as the classification result class. Implementation using Borland Delphi and Mysql database. The research method was used by applying the Waterfall method. The Waterfall method used is composed of analysis, design, coding, and testing. System design using Unified Modeling Language (UML) by describing use case diagram, activity diagram, and class diagram. Based on the confusion matrix of the KNN classification process, the percentage of accuracy is 77%, precision is 88%, and recall is 78%. These results can be said that the results obtained are quite good, which exceeds 70%.]]>
<![CDATA[Internet-based Design of Hydroponic Plants Monitoring and Automation Control Systems ]]>
<![CDATA[Parenreng, Jumadi Mabe]]>;
<![CDATA[Andani, Andi Ferry Adlian Tri]]>;
<![CDATA[Yahya, Muhammad]]>;
<![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) ]]>
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DOI: 10.31763/iota.v4i2.744
<![CDATA[Melons are one of the fruit types widely favored in the market due to their high content of vitamins, minerals, and water. Melon plants are challenging to cultivate when environmental conditions such as soil and air do not align with their characteristics. One way to address this is through hydroponic cultivation, which reduces the interaction of melon fruits with the air and environment. However, this method has a drawback in that the nutrient solution and water circulation of the plants must be continuously monitored. Therefore, a system is needed to automatically monitor and control the conditions of hydroponic plant growth with the assistance of IoT technology. This research proposes the Design and Implementation of a Monitoring and Automation System for Hydroponic Plant Control Based on the Internet of Things. The hydroponic system, specially designed for melon plants, is equipped with various sensors that can monitor soil nutrients in real time through mobile devices. Based on the test results, the TDS sensor yielded a result of 1313 PPM, the pH Water sensor showed 50.1, and the system also measured air temperature and humidity using DHT22, with air temperature at 29.5°C and humidity at 71.2%.]]>
