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[The Fabrication of Electronics Wearable Bracelets and approach to telecommunications: A Review ]]>
<![CDATA[Adiprabowo , Tjahjo]]>;
<![CDATA[Ramdani , Dani]]>;
<![CDATA[Andriana, Andriana]]>;
<![CDATA[Zulkarnain , Zulkarnain]]>;
<![CDATA[Hasudungan, Olly Vertus]]>;
<![CDATA[Ali, Erfansyah]]>;
<![CDATA[Bethel , Ade Yoska Artadinata]]>;
<![CDATA[Panca , Dimas]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.886
<![CDATA[This research aims to develop an innovative and easy-to-use fetal heart rate monitoring bracelet for pregnant women. The design of this bracelet involves various electronic aspects, including signal acquisition using optical sensors (Ultrasound Doppler, ECG, or PPG), signal processing with a microcontroller and efficient algorithms to eliminate noise and detect heart rate, as well as data display and communication via LCD screen, LED indicator, or Bluetooth connection. The power aspect is an important consideration in the selection of the right battery and power management. The design of the bracelet considers ergonomics and safety for pregnant women and fetuses. Testing and validation are carried out thoroughly, including functionality testing and clinical trials. This research also considers ethical aspects, such as data privacy and information reliability. By integrating all these aspects, it is hoped that this research can produce a prototype fetal heart rate monitoring bracelet that is accurate, safe, and comfortable to use, thus contributing to improving maternal and child health. Wearable Bracelet must-have comfort factors components consisting of Size & Dimensions, Device Weight, Strap Material, Thickness, Flexibility, Component Distribution, Edges & Corners, and Skin Ventilation. From the intructables' sample results the comfort level is 52.5%, while the tool created by Puput Dani Prasetyo has a comfort level of only 50%. And this needs to be increased to >90%.]]>
<![CDATA[Intelconn Smart Connection System to Improve Battery Energy Storage Reliability ]]>
<![CDATA[Rahman, Sutisna Abdul]]>;
<![CDATA[Fathurozzi, Raedy]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.889
<![CDATA[Degradation in battery cells is an unavoidable phenomenon, especially in battery modules connected in parallel. Inconsistencies in current distribution and temperature rise can accelerate degradation and pose potential safety issues. Therefore, evaluation and mitigation strategies are needed to reduce the impact of degradation on each battery cell. This research develops an extended single-particle model with Pade's approach and Taylor expansion to simplify the conventional electrochemical mechanism. Based on this approach, a multidomain electrochemical mechanism simulation model for battery modules connected in parallel is developed. The model was used to analyze the effect of cell degradation on battery module voltage, internal current distribution, and temperature rise under various charging and discharging conditions. The evaluation was conducted using the parameter sensitivity analysis method to assess the contribution of each parameter to the degradation of the parallel-connected battery cells. The results of this study are expected to help in identifying battery cells that degrade faster and developing optimal strategies in battery management for longer life and safe use.]]>
<![CDATA[System for Determining Plant Types Based on Weather Characteristics and Soil pH Using Artificial Intelligence ]]>
<![CDATA[Akbar, Trisakti]]>;
<![CDATA[Zain, Satria Gunawan]]>;
<![CDATA[Kaswar, Andi Baso]]>;
<![CDATA[Parenreng, Jumadi Mabe]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.902
<![CDATA[This research implements the Long Short-Term Memory (LSTM) algorithm for weather forecasting using minimum temperature, maximum temperature, average temperature, air humidity, rainfall, and solar radiation values over the past 30 days. The output consists of forecasts for average temperature, air humidity, rainfall, and solar radiation for the next 30 days. The LSTM model output and soil pH are used to determine plant types using the K-Nearest Neighbor (K-NN) algorithm. Based on the LSTM model testing results, the minimum temperature feature achieved a Mean Absolute Error (MAE) of 0.0078, a maximum temperature of 0.0054, an average temperature of 0.009, air humidity of 0.0099, rainfall of 0.0042, and solar radiation of 0.0208. For the K-NN model, an accuracy of 98% was obtained.]]>
<![CDATA[Implementation of the MDLC Method in the Development of Android-Based Augmented Reality for Traditional House Recognition ]]>
<![CDATA[Am, Andri Nofiar]]>;
<![CDATA[Pribadi, Antoni]]>;
<![CDATA[Nurkholis, Nurkholis]]>;
<![CDATA[Perdana, M.Alkadri]]>;
<![CDATA[Rukhshah, Muhammad]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.903
<![CDATA[Indonesia has a rich cultural diversity, one of which is traditional houses (rumah adat). However, learning about traditional houses is still largely based on textbooks. With the advancement of information and communication technology, teaching and learning processes can now be supported by interactive learning media. One of the emerging technologies that is widely used in education is Augmented Reality (AR). AR can display 3D animations from all angles, helping to increase public interest in learning more about Indonesia’s diverse traditional houses. The purpose of this research is to develop an Android-based Augmented Reality application for introducing traditional houses in Indonesia as a learning medium. This application aims to provide users convenience in learning, and seeing various types of houses there. The method used is the Multimedia Development Life Cycle (MDLC) which consists of a concept, design, collection of materials, assembly process, testing process, and distribution process. The application uses Unity, Blender, and Vuforia SDK. The results of this study will show that the Android-based Augmented Reality (AR) marker application, specifically the traditional houses in Indonesia. 3D assets of traditional houses can be adjusted flexibly, for example, rotated by 360 degrees, accompanied by descriptive information on each traditional house, so that information can be received flexibly and real-like.]]>
<![CDATA[Statistical Data-Driven Decision-Making Considering Bias, Fairness, and Transparency in AI ]]>
<![CDATA[Vasista, T. G.]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.905
<![CDATA[Bias, fairness, and transparency are critical issues in Artificial Intelligence (AI). These problems can arise from sources such as biased training data, algorithmic bias, and reinforcement learning bias. Bias may lead to unintended consequences while attempting to correct bias. The use of the black-box model, along with proprietary and confidentiality constraints, can further obscure decision-making processes. Regulatory challenges complicate the governance of AI systems. Unfairness can arise when the algorithm uses inappropriate features in AI-based decision-making. Lack of transparency in AI-based computation leads to reduced trust, accountability issues, and difficulty in understanding or challenging automated decisions. Addressing bias, fairness, and transparency in AI is crucial to ensure ethical, responsible, and inclusive technology. Governments, organizations, and researchers must work together to create AI systems that serve humanity without reinforcing discrimination. Without addressing these problems, AI will have to risk inequalities and lose public trust. For example, “if you tell an AI image tool to create a man writing with his LEFT hand, the AI will create a man writing with his right hand” India’s PM Modiji pointed it out in a Paris speech. Unfairness can arise when the algorithm uses inappropriate features or a biased training data set to make a decision.]]>
<![CDATA[Analysis of Teaching Material Delivery Techniques by Lecturers Based on E-Learning at Universitas Pembangunan Panca Budi Medan ]]>
<![CDATA[Fauziah, Fauziah]]>;
<![CDATA[Mutia, Cut]]>;
<![CDATA[Meiditra, Irzon]]>;
<![CDATA[Yuda, Fitra]]>;
<![CDATA[Rahmansyah, Rizky]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.908
<![CDATA[The rapid development of technology has also affected the world of education, both in terms of facilities, infrastructure, and learning methods. Schools and universities now utilize technology to support the teaching and learning process, making it more efficient, interesting, and accessible. Technology acts as a means, media, and learning resources that help facilitate learning between educators and students. One form of technology application in education is the use of videos and E-Learning-based learning portals. At Universitas Pembangunan Panca Budi, the E-Learning system continues to be developed in terms of features, security, and interface to support effective distance learning between students and lecturers.]]>
<![CDATA[Digitization of Student Activity Assessment and Reporting at Kampar Polytechnic ]]>
<![CDATA[Oktorina, Fenty Kurnia]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.912
<![CDATA[Students in higher education institutions are expected to actively participate in various academic and non-academic activities to develop their potential. At Politeknik Kampar, student activity records are still managed manually by the Student Affairs Administration Division (BAK), which leads to difficulties in obtaining valid and organized data. This research aims to build a Digital Assessment system of student activities at Kampar Polytechnic whose purpose is to facilitate the process of managing student participation data. Especially evaluation and reporting. The method used is the development of the System Development Life Cycle (SDLC). The programming language used in this research is PHP with the Laravel Framework, this framework is known for its good data management and accuracy and has structured data management. The result of this research is the development of an application that will focus on the process of reporting activities carried out by students directly, in real-time, and can be monitored and validated directly. With this system, it is ensured that the management of student activities can be more organized, transparent, and accessible to students, BAK, and all related parties.]]>
<![CDATA[Decision Support System for Selection of High-Aching Students Using Simple Additive Weighting Method ]]>
<![CDATA[Thamrin, Karim]]>;
<![CDATA[Parenreng , Jumadi Mabe]]>;
<![CDATA[Haripuddin, Haripuddin]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.913
<![CDATA[Determination of outstanding students is done manually and tends to be subjective. This has shortcomings that cause several problems, namely, it takes a long time and requires energy for manual data processing, then requires extra care and thought in processing student value data. This study aims to produce a decision support system for selecting outstanding students with a matrix normalization process to a scale that can be compared with all existing alternative ratings using ISO 25010 with 8 testing aspects. This development uses the Waterfall model with research steps, namely: 1) Requirement, 2) Design, 3) Implementation, 4) Verification, and 5) Maintenance. In the early stages, researchers seek information related to user needs for the system to be created. Furthermore, the media design is designed based on the results of the needs analysis, after which the media is developed. The final stage is testing. Data collection instruments are conducted through Observation, interviews, and questionnaires. The data analysis technique used is based on the 8 testing characteristics in ISO 25010. The results of the functional suitability aspect test with a result of 98.6% of the criteria "Very Eligible". Performance efficiency testing with a result of 85.2% of the category grade B which is categorized as "Good". Usability testing of the percentage of user responses with a result of 84% of the criteria "Very Good". The results of the compatibility test show that the system has been successfully run on several versions of the browser well and does not cause problems when accessing the system. The results of the security test show that the system has good security with a grade of B. Based on these data, it can be concluded that the system that has been developed has successfully met 8 aspects of testing using ISO 25010.]]>
<![CDATA[Implementation of One-Time Password and SHA-3 Algorithm on the Lab Inventory Website of the Department of Informatics and Computer Engineering ]]>
<![CDATA[Sadiq, Muhammad Hakim]]>;
<![CDATA[Wahid, Abdul]]>;
<![CDATA[Lamada, Mustari S.]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.914
<![CDATA[This study evaluates the effectiveness of the One-Time Password (OTP) system on the Inventory Lab website of the Department of Informatics and Computer Engineering, focusing on OTP and user password security against Brute Force attacks. The objectives include testing OTP validation, analyzing OTP vulnerabilities to Brute Force attacks, and examining the resilience of user passwords under similar attacks. The study contributes to cyber security research by offering insights into implementing OTP and SHA-3 encryption algorithms on websites. Its findings aim to enhance the security measures of the Inventory Lab website. Results indicate that OTP delivery on the website is both successful and secure, with codes encrypted using SHA-3, rendering them unreadable in the database. OTP validation effectively distinguished correct and incorrect codes, including those that expired due to time limits. However, Brute Force trials on OTPs succeeded in some cases due to extended expiration times. Reducing the expiration period to one minute significantly minimized this risk. Similarly, trials on user passwords showed that passwords with complex character combinations resisted attacks more effectively than simpler ones. In summary, the OTP system and SHA-3 encrypted passwords demonstrate robust security but require adjustments to OTP expiration settings and stronger password policies to mitigate the risks of brute-force attacks. These improvements will further safeguard the website’s security infrastructure.]]>
<![CDATA[The Fabrique: A Pathfinding Algorithm in a Mobile Game Developed Using Construct 3* ]]>
<![CDATA[Kusumawardhani, Ruby]]>;
<![CDATA[Prastiningtiyas, Diah Arifah]]>;
<![CDATA[Alfianti Oktavia, chaulina]]>
<![CDATA[ Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May] ]]>
Publisher : <![CDATA[Association for Scientific Computing, Electronics, and Engineering (ASCEE) ]]>
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DOI: 10.31763/iota.v5i2.915
<![CDATA[The rapid growth of the digital game industry, particularly on mobile platforms, has driven the development of algorithms to enhance gameplay quality and player experience. The A* algorithm is a widely used pathfinding method for controlling the movement of non-playable characters (NPCs) in games. This study aims to evaluate the implementation of the A* algorithm in The Fabrique, a mobile game developed using Construct 3, a 2D game development engine. Testing was conducted across various path and obstacle scenarios. The results indicate that the A* algorithm delivers fast computation time and optimal pathfinding for short-distance navigation. In the medium to high obstacle scenarios, the algorithm maintained good performance with only minimal increases in processing time. The implementation of the A* algorithm in The Fabrique proved effective, contributing to a more dynamic and interactive gameplay experience. With an average user satisfaction rate of 81.94%, the algorithm demonstrates not only technical efficiency but also strong user acceptance.]]>
