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Internet of Things and Artificial Intelligence Journal
Published by Association for Scientic Computing Electronics and Engineering
ISSN : -     EISSN : 27744353     DOI : https://doi.org/10.31763/iota
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 20 Documents
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Search results for , issue "Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]" : 20 Documents clear
Augmented Reality-Based Car Showroom Application as a Promotional Media at Alya Motor Car Showroom Kandiaz, Muhammad; Ekawati , Nia
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.795

Abstract

In today's fast-paced world, transportation is crucial in facilitating the movement of people and goods. As a popular means of land transportation, automobiles have continuously evolved with advanced technologies to enhance fuel efficiency and driving safety. Established in 2014, Alya Motor has served hundreds of customers using social media platforms for marketing. However, innovative marketing strategies are essential to enhance the shopping experience, especially amidst declining purchasing power. This research aims to design, implement, and test a car showroom application based on Augmented Reality (AR) as a promotional medium for Alya Motor. An Android application was developed using Blender, Unity 3D, and Vuforia to offer an interactive car viewing experience. The research followed the Multimedia Development Life Cycle (MDLC) methodology, ensuring a user-centric approach. The application was successfully tested, achieving an 86% acceptance rate in User Acceptance Testing (UAT). The AR-based application significantly improves the promotional strategy by providing potential buyers with an engaging and effective shopping experience.
Implementation of AES-256 Algorithm for Encryption on Chatting Platforms Nirwan, Saepudin; Hamidin, Dini; Azzalea, Shifa Eldita
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.804

Abstract

This research aims to design and build a web-based corporate chat media using prototype methodology and AES (Advanced et al.) algorithm for data encryption. The platform has been developed with MERN technology (MongoDB et al.), which allows the application to be dynamic and responsive. Prototype methodology is used for iterative development based on user feedback, ensuring the application meets user needs. The AES algorithm is applied to maintain the confidentiality and security of each message sent and received. The results show that the application effectively provides efficient and secure communication for the company, with an intuitive and easy-to-use interface. Implementing MERN technology provides flexibility in the development and maintenance of the application, making it the right solution for corporate communication needs.
Implementation of Load Balancing Using the PCC (Per Connection Classifier) Method on Computer Networks to Improve Responsiveness Arfianita, Arfianita; Wahid, Abdul; Zain, Satria Gunawan; Parenreng , Jumadi M
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.810

Abstract

Dependence on a single ISP can lead to the risk of internet disconnection, necessitating a solution to enhance network performance and responsiveness. This research explores the implementation of load balancing using the Per Connection Classifier (PCC) method to improve the responsiveness of computer networks utilizing three ISPs (Internet Service Providers). The test results indicate that the PCC method across the three ISPs can increase throughput by 9.32 Mbps, reduce delay by 43.54 ms, and decrease jitter by 74.17 ms while packet loss remains stable at 0.0%. Additionally, the recursive gateway failover technique in PCC load balancing demonstrates a significant increase in throughput up to 83.3 Mbps, a reduction in delay by 0.27 ms, and a reduction in jitter by 1.15 ms. Packet loss remains stable at 0.0% under varying ISP conditions. Moreover, a comparison between the PCC and PBR methods with the least connection algorithm shows that both methods effectively enhance network responsiveness, with the PCC method exhibiting superior performance in throughput.
Implementation of E-Commerce for Andika Jeans with PHP, MySQL, and SDLC for Web-based Applications Handayani, Indah Tri
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.811

Abstract

The website has information about the product's name, price, and specifications, which aims to make it easier for customers to choose the product they want to buy. This website is exclusively for men's jeans. This men's jeans E-Commerce Website contains information about products for men's needs. Andika Jeans previously used conventional methods, where customers had to come to the store to see the product. With these problems, the Andika Jeans website was created. The method used in this writing is SWLDC, which has several stages: analysis, design, implementation, and trial. The conclusion that can be drawn from this website is that it aims to get information about the available products so that visitors can easily choose products that meet their needs. This website has been hosted so that customers can access it and can also place and confirm orders. This website has been tested in several browsers and devices, and the results of this website function very well; this website can be accessed via http://widi-system.co/andikajeans/.
Wireless Network Service Quality Analysis at Kefamenanu 1 State Vocational School using QoS Methods Silla , Intan Nubriyanti; Rema, Yasinta Oktaviana Legu; Fallo, Kristoforus
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.812

Abstract

Indonesia is one of the largest archipelagic countries in the world, one of the challenges is that the existing internet network is not optimal and should be evenly distributed throughout Indonesia. This article is one of the efforts to increase the capacity and use of the internet, especially to support the education process which should be evenly distributed in various regions in Indonesia, not only in Java but also in areas outside Java. especially in East Nusa Tenggara. NTT is one of the areas discussed in this article, specifically at Kefamenanu 1 State Vocational School. This article puts forward some essential aspects in the development and installation of the internet in this school, including using the right measurements of Quality of Service (QoS). QoS includes many things such as Throughput, Bandwidth, Packet Loss, and other parameters that are essential in building and analyzing internet networks that have a wide scope, especially for the Education level. Vocational High Schools are not only expected to be able to use the internet but also build, design, install, and perform detailed analysis on the internet network they build. Two essential networks must be able to be installed, i.e., a Wireless Network and Local Area Network.
Prediction of New Customer Segmentation Classification Using Artificial Intelligence Project Cycle Orange Data Mining Kosat , Fransiska Febriyanti; Rema, Yasinta Oktaviana Legu; Ullu, Hevi Herlina
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.813

Abstract

This research aims to predict the right segmentation group or classification of new customers to become a classification comparison data carried out by the sales team to determine the strategy used to enter the market, whether it can be said to be feasible or not. This article discusses the basis of the method used, i.e., Machine Learning, discussed in detail about Artificial Intelligence (AI). Also discusses what is Classification, Segmentation, Data Mining, Neural Networks, Naive Bayes, Decision Trees, Random Forest (RF), and Support Vector Machine (SVM). This article discusses comprehensively the method used, and the development of Modeling, in the results and analysis section, comprehensively shows the prediction analysis of new customer segmentation classification, algorithm performance results of several methods, and distributions analysis. With the percentage prediction of new potential customer segmentation using the Neural Network method, the percentage prediction of Segmentation A is 25.21%, the percentage prediction of Segmentation B is 21.77%, the percentage prediction of Segmentation C is 23.49%, the percentage prediction of Segmentation D is 29.53%. The percentage of segmentation that has been calculated by the company is the percentage of Segmentation A of 32.13%, the percentage of Segmentation B of 20.89%, the percentage of Segmentation C of 17.69%, and the percentage of prediction of Segmentation D of 29.29%.
Design of a Monitoring System for the Number of Visitors and Room Temperature Telkom Plaza Bengkulu suwarto, suwarto; Riska, Riska; Mardiana, Yessi
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.815

Abstract

The development of Internet of Things (IoT) technology has brought significant impacts on various aspects of life, including the management and monitoring of public facilities. One of the public facilities that requires monitoring the number of visitors isTelkom Plaza Bengkulu. The main problem atTelkom Plaza Bengkulu is the absence of an effective monitoring system that tracks the number of visitors and room temperature in real time. The purpose of this research is to design a system that can monitor the number of visitors and room temperature automatically, help management make decisions, and optimize services. The research is expected to contribute to the development of information technology in the management of public facilities in the digital era. The method used is an experimental method to design an IoT-based monitoring system. This system uses PIR and DHT22 sensors as input for ESP32, then displays data on the number of visitors and room temperature in real-time through the website and smartphone application using the Blynk IoT platform, as well as automatic fan operation based on room temperature. The test results show the success of the IoT-based monitoring system for the number of visitors and room temperature of Plaza Telkom. The PIR sensor detects movement up to a distance of 2 meters. DHT22 sensor measures temperature with an accuracy of ±0.02%. The relay module controls the fan responsively. Blynk dashboard displays real-time data. The user interface works on laptops and smartphones, providing consistent access and display. An IoT-based monitoring system for the number of visitors and room temperature forTelkom Plaza Bengkulu was successfully designed and implemented. This system fulfills the research objectives and can be applied in other Plaza Telkom locations, although there is still a need for improvement and room for further development.
Development of an Information System for eTax Return Reporting PPh 21 Employees at PT. FBR Mitra Sejati Hasibuan, Maimunah Permata Hati; Prasetio, Primadi
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.816

Abstract

This research aims to develop an information system that supports collecting Income Tax (PPh) for employees in a tax consulting company. This research analyzes the suitability of the tax collection procedures applied by the company and the applicable tax provisions. The method used in this research is descriptive analysis based on data obtained through interviews, observations, and literature review. The results show that the principle of income tax collection in tax consulting companies is in line with the general tax withholding method, with estimated net income as the basis for calculation. The tax rate variations applied include the provisions in Article 17 of the Income Tax Law and related government regulations. The information system developed aims to improve efficiency and accuracy in the reporting of Income Tax Return 21 and support better tax compliance.
Website-Based Retail Sales Monitoring System at Purbaratu Market Cooperative, Tasikmalaya City Cahyadi, Cepi; Jaelani, Rusani; Arfian, Andi
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.817

Abstract

Purbaratu Market is a gathering place for traders and buyers who always have buying and selling transactions every day. This market has a cooperative to monitor everything in the market, but the retail sales transaction process system in the current cooperative is still traditional in the buying and selling of merchandise, therefore, transactions need to be monitored carefully and quickly to find out transactions consisting of various types of goods, so it requires accuracy in recording the type and number of products sold, Based on the description of existing problems, an increase in services in the field of computerization is carried out. That is, this traditional system will be developed into a digital system in the form of a monitoring system for Retail Sales of the Purbaratu market cooperative. This technology is made using PHP and MySQL databases. The purpose of planning this application is to provide convenience in the process of transactions and processing retail sales data in the Purbaratu market cooperative.
Use of Artificial Intelligence Applications: Friend or Threat for Indonesian Language and Literature Education Students at Singaperbangsa University of Karawang Amal, Bahar; Khaierunnisa, Aqillah; Rahmawati, Elisa; Syifa, Naora; Dewani, Pramesvary Nazwa; Septariyani, Putri Ratih; Fauzi, Syahrul Ilham
Internet of Things and Artificial Intelligence Journal Vol. 4 No. 4 (2024): Volume 4 Issue 4, 2024 [November]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v4i4.821

Abstract

This research aims to explore the impact of artificial intelligence (AI) on students of Indonesian Language and Literature Education students at Singaperbangsa Karawang University. Through a survey of Indonesian Language and Literature Education students, this study shows that AI has become a popular tool to support the learning process, but also raises concerns about excessive dependence and a decline in critical thinking skills. The results show that AI can be a valuable tool to assist students in various academic tasks, but can also pose a threat if used unwisely. Therefore, it is important for students to understand the potential and limitations of AI, and to use it in a balanced manner to achieve optimal learning outcomes.

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