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
174 Documents
Implementation of Haversine Algorithm in Web-Based Online Attendance Application
Wijaya, Leon Fernando;
Tony, Tony
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)
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DOI: 10.31763/iota.v4i4.836
Attendance is an important aspect of the world of work. A manual attendance system is a conventional attendance recording method that is still widely used. However, with the rapid advancement of technology, digital attendance now allows recording attendance through software connected to the internet. PT Password Solusi Sistem, as an information technology solution provider and system integrator, already has an online attendance application, but its effectiveness is still limited, and feature customization is difficult because the application comes from an external service provider. This research aims to develop a web-based online attendance application with the implementation of the Haversine algorithm to calculate the distance between the user’s location and the office location through geolocation technology during attendance so that the results of this calculation are used to provide information on attendance whether it is done outside or within the office radius. In addition, this study also compared the results of distance calculations between the Haversine algorithm and the Google Geometry Library in 20 different locations, which resulted in a difference of 0.0113. GPS Geolocation testing, conducted using a smartphone, showed 100% accuracy, with all test locations being valid. The results showed that the online attendance application with the Haversine algorithm was successfully implemented, and the accuracy comparison between the Haversine algorithm and Google Geometry Library showed almost similar results.
Enhancing Tourist Experiences in Glodok Pancoran Through Virtual Tours
Christina, Angelica;
Tony, Tony;
Handhayani, Teny
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)
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DOI: 10.31763/iota.v4i4.837
This research aims to develop a web-based tourist destination application for Glodok Pancoran, Jakarta, to improve tourist experience and promote local culture and culinary. The methods used in developing this application include database design, development using Visual Studio Code, React for the frontend, and Go (Golang) for the backend, as well as database management with MySQL. The app was tested using black box method and System Usability Scale (SUS) assessment to ensure functionality and user satisfaction. With an Agile approach, the app integrates Google Maps and Street View to provide virtual tours, which is a new innovation in promoting local tourism. The results showed a high level of user satisfaction with an average SUS score of 90.33, which was categorized as excellent. This study highlights the importance of virtual tours in tourism, especially for first-time visitors, and recommends further development based on user feedback to improve tourism and the local economy.
Revolutionizing B2B procurement: Digital transformation at PT Sadang Jaya
Riady, Clive;
Tony, Tony
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)
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DOI: 10.31763/iota.v4i4.840
The rapid pace of digital transformation presents both challenges and opportunities for businesses globally, especially in the realm of Business-to-Business (B2B) order management. Many Indonesian companies continue to rely on outdated, manual processes, leading to inefficiencies and scalability issues. This study explores how PT Sadang Jaya, a food production company in the Indonesian market, tackled these challenges through the strategic implementation of a custom-built B2B order management system using Angular, Express.js, PostgreSQL, and Agile methodology. PT Sadang Jaya, despite its strong market reputation, encountered difficulties in managing orders efficiently as the company grew and the number of distributors increased. The manual order management process, conducted through WhatsApp or phone calls, became increasingly inefficient and prone to errors, resulting in irregular order queues and increased risk of recording errors. To overcome these challenges, the company recognized the need for a B2B eCommerce system that could streamline transactions between PT Sadang Jaya and its distributors. This thesis aims to design and develop a web-based online ordering application that not only reduces recording errors but also accelerates the order fulfillment process and strengthens business relationships with distributors. The results of User Acceptance Testing (UAT) demonstrate the successful completion of all test cases without any blocking issues, comprehensively verifying the system's functionality, including order management and distributor interaction. The implementation of this system is anticipated to capitalize on the immense potential of B2B eCommerce, enabling PT Sadang Jaya to broaden its market reach and elevate distributor satisfaction through more integrated and responsive services.
Performance Comparison of the Support Vector Machine Algorithm with RBF Kernel and Random Forest in Classifying Tourism Images of Nusa Penida
Salim, Bryan Othman
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)
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DOI: 10.31763/iota.v4i4.846
Indonesia holds vast tourism potential, including Nusa Penida, Bali, renowned for its natural beauty. However, the adoption of modern technology to support tourism promotion and management remains limited. This study aims to compare the performance of Support Vector Machine (SVM) with Radial Basis Function (RBF) kernel and Random Forest algorithms in classifying images of three main tourist attractions in Nusa Penida: Angel’s Billabong, Broken Beach, and Kelingking Beach. The dataset consists of 450 images processed using the Histogram of Oriented Gradients (HOG) method for feature extraction. Two data split scenarios (80:20 and 70:30) were applied to evaluate the algorithms based on accuracy, precision, recall, and F1-score metrics. The experimental results revealed that SVM with RBF kernel outperformed Random Forest in all scenarios, achieving the best results in the 70% training and 30% testing data split with an accuracy of 0.967, precision of 0.969, recall of 0.967, and F1-score of 0.967. While Random Forest demonstrated stable performance, it remained inferior to SVM with RBF kernel. This study concludes that SVM with RBF kernel is superior for image classification tasks, offering opportunities for implementing artificial intelligence technologies to advance the tourism sector in Indonesia.
Design and Development of Sidajaya Tourism Village Information System as a Mobile-based Information and Promotion Media
Iqbal, Mohammad;
Vernanda, Dwi;
Rosid, Usep Abdul;
Hanan, Ardian abdul;
Riyanto, Brilian Adiguna;
Virtalioka, Sheva
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)
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DOI: 10.31763/iota.v5i1.857
The potential of Sidajaya Tourism Village in Subang Regency is still not widely known by the people of Subang, which has hindered the development and progress of the tourism village. The limited availability of information has made people reluctant to seek further details, leading to a lack of widespread knowledge about Sidajaya Tourism Village. Therefore, a mobile system is needed to facilitate public access to information about this tourism village. This study aims to build a mobile-based information system that can serve as a medium for disseminating information and promoting Sidajaya Tourism Village. The information system will be developed using Android Java programming language and MySQL database. Data will be collected through observation and interviews, which will then be processed into a system analysis of the current system and the proposed one. The system development stages include analysis, system design, implementation, and testing. The application that is developed will allow the public to access tourism information and book tickets for the various tourist spots in Sidajaya Tourism Village.
Monitoring leakage in water pipe installation using a water flow sensor
Prima, Delta Ardy;
Atthariq, Atthariq;
Parenreng, Jumadi Mabe
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)
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DOI: 10.31763/iota.v4i4.861
The need for water for humans is the main thing and cannot be replaced with anything else. Water will always be needed every time for consumption and daily activities. Therefore, the need for water is always considered in the distribution process so that every community can meet its water needs. Especially residential areas where water needs are important. However, there are obstacles to pipe leaks that cause this water distribution to be hampered. The development of the Internet of Things is the main solution in terms of monitoring water flow and water pressure in pipes. This makes it easier for pipe repair parties to increase the effectiveness of their supervision of the condition of their housing pipes. Based on the results of trials and evaluations that have been carried out, it gives the conclusion that the existence of this system can help pipe repair parties in knowing the state of water flow in pipe installations in their residential areas. This system is also supported by using the calculation of physical formulas such as the Bernoulli equation and the principle of continuity where the formula P = 1/2ρV² has been used in the calculation of calibration on the water flow sensor and to test the validation of the results issued by the water flow sensor, the Absolute Relative Error calculation is also used where the formula used is Absolute Relative Error = | (estimated - actual) / actual | * 100. Through the calculation processes carried out, it can increase the chances of reading data that is more accurate than usual and the results will be maximized in detecting any anomalies that occur during monitoring. Therefore, the opportunity to implement a residential pipe monitoring system is a convincing thing to do in improving services that are more responsive to residents in the housing complex.
Implementation of the Convolutional Neural Network Method in Highway Traffic Monitoring Systems
Atthariq, Atthariq;
Azhar, Azhar;
Hendarawaty, Hendarawaty;
Parenreng, Jumadi Mabe
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)
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DOI: 10.31763/iota.v5i1.862
Traffic Flow Calculation is one of the first steps in urban planning and road infrastructure management, for monitoring traffic flow on a road is very important. To do traffic planning, the Department of Transportation must count every passing vehicle where later the data will be used as material for analysis. Currently, the Department of Transportation calculates vehicles that pass on a road by calculating it with manual tools, so it requires large operational costs and takes a long time. Based on the problems faced, the researcher offers a solution for an intelligent traffic flow monitoring system that can count the number of vehicles that pass by using a closed circuit television camera (CCTV) installed at every city traffic light. Here we propose a high-performance algorithm model You Only Look Once (YOLO), which is based on the TensorFlow framework, to improve real-time vehicle monitoring. From the results of testing the system was built using the Python programming language using the YOLOv4 method, the Tensorflow library, and the PyQT5 library. The accuracy of reading the number of passing vehicles is 97%.
Satellite Technology for Internet of Things: An Overview
Adiprabowo, Tjahjo;
Ramdani, Dani;
Daud, Pamungkas;
Andriana, Andriana;
Zulkarnain, Zulkarnain;
Nasrullah, Nanang;
Vertus, Olly;
Rahman, Sutisna Abdul;
Simarmata, Melissa T. A.
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)
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DOI: 10.31763/iota.v5i1.758
This article is about satellite review which is essential for internet connectivity and also the development of IoT and other applications, this article contains history, performance, challenges, and research opportunities in the field of satellite development. Satellite development can be applied to improving the performance of various applications such as IoT, Education, and Medical, as well as real-time monitoring such as monitoring pets such as horses and cows in large numbers, as well as other essential applications such as the medical world. Satellite development is essential for applications in the world today and in the future. Satellite technology development is tailored to the needs, for example with the Mini Cube Satellite used for the development of LPWAN IoT technology orbiting in Low Earth Orbit (LEO).
Python for Kids: Designing an Educational Literacy Application
Ramdani , Dani;
Adiprabowo , Tjahjo;
Maulana , Septian;
Nurdiansyah, Sansan
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)
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DOI: 10.31763/iota.v5i1.809
The ability to read and write (Literacy skill) is an essential thing that needs to be known early by children. Children can build applications such as simple games, desktop applications, and websites, several programming languages support the development of children's thinking skills such as C++ on Arduino boards, Raspberry Pi, and other Microcontrollers. Python and MicroPython are also easy to learn, as well as the development of Artificial Intelligence (AI) and its Platform which is so rich in libraries, applications, and other applications. In creating applications with certain extensions, compatibility, and also speed when applied to all PCs in general. This research discusses comprehensively how to build a simple Python-based application by converting voice and text, and this application can be applied to the general public, especially for Kids and also disabilities.
IoT-based Real-Time Monitoring System to Optimize Capacitor Bank Performance on Waste Chopping Machines in Cikawao Village, Bandung
Adiprabowo, Tjahjo;
Ramdani, Dani;
Andriana, Andriana;
Turesna, Ganjar;
Zulkarnain, Zulkarnain;
Sukmana, Raden;
Fauziah, Rahma Nur;
Hendrawan, Lara Dwi Cinta;
Direja, Aura Anbiya;
Sambas, Tresna Intan Maulani;
Resnitiani, Della Agni;
Dhanureksa, Prima
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)
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DOI: 10.31763/iota.v5i1.875
The use of waste chopping machines in Cikawao Village, Bandung depends on the electricity that supplies the machine. To supply electrical energy to the chopping machine, bank capacitors are needed which function to stabilize electrical power. A capacitor bank is a set of capacitors installed in parallel. Specifically, the function of the capacitor bank is to improve the power factor, reduce useless reactive power, reduce power losses on the network, increase the available power capacity, and also stabilize the system voltage. In this article review, the hope is that the voltage can be monitored in real-time using the Internet of Things (IoT) and focus on voltage sensors and current sensors and controllers that work like relays when the voltage is over, it will automatically turn off. And voltage (V) and current (I) can be monitored in real-time on the available monitors. In the process of building this IoT, a protocol is needed, to control and monitor voltage and electric current can use a microcontroller that can connect to the internet, which means using a WiFi module and connecting it to the Internet server using the MQTT Protocol.