cover
Contact Name
Puput Dani Prasetyo Adi
Contact Email
puput@ascee.org
Phone
+6281227103387
Journal Mail Official
puput@ascee.org
Editorial Address
Jl. Kemantren 3 RT.04 RW 13 Kelurahan Bandungrejosari Kecamatan Sukun Malang
Location
Kota yogyakarta,
Daerah istimewa yogyakarta
INDONESIA
Internet of Things and Artificial Intelligence Journal
ISSN : -     EISSN : 27744353     DOI : https://doi.org/10.31763/iota
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 22 Documents
Search results for , issue "Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May]" : 22 Documents clear
Geographic Information System for Drought Potential Areas in Kampar District Hanum, Nindy Raisa
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i2.960

Abstract

Drought is a natural disaster that has an impact on various sectors. Drought occurs during the dry season, which is from May to October. So that there is a need for spatial information in the Kampar Regency area for drought potential so that it can help overcome the problem of drought. The data consists of Landsat 8 OLI / TRIS images and rainfall data. The transformation method used is the Tasseled Cap Transformation to get the wetness and revision index and NDVI to get the vegetation index. The results of each index will be weighted and overlaid so that a map of the area with drought potential is obtained. The results of this study are Kampar District which has an area of 7% located in Tapung Hilir District, while 33% of Kampar District has a very low drought potential. In general, the Kampar Regency is classified as having moderate drought potential.
Implementation of Synchronous Messaging with Visual Basic as a Support for Learning the Parallel and Distributed Systems Course Nasution, Muhammad Romi; Basorudin, Basorudin
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i2.963

Abstract

There are two types of message delivery, namely synchronous and asynchronous messages. Synchronous communication refers to communication that occurs directly and simultaneously, where both parties interact in real-time. Common examples of synchronous communication in online learning include video conferencing, web conferencing, and live chat. Asynchronous communication, which is indirect, allows for more flexible learning through tools such as discussion forums, emails, and blogs. In this article, a chatting application will be designed and built as part of the implementation of the parallel and distributed systems course to support student learning. The application was built using Visual Basic software with important supporting components such as Winsock, TCP/IP protocol, and Local Port, to communicate directly (synchronously) between the client and server. From the test results of conducting chatting between the server and client, it can be concluded that the application runs well as expected without any errors, with an error rate of 0% and a success accuracy rate of 100%. For future researchers, this application can be used as teaching material in the parallel and distributed systems course, and can be developed with other models and the latest software, for example, not only sending messages but also sending files such as images and the like. This research approach can look at multiple sides, for example, from AI-Enhanced Communication, Hybrid Legacy-Modern Integration, Adaptive Protocol Switching, Dynamic Key Exchange, Auto-Discovery Port Management, ML-Optimized UI Components, Context-Aware UX, Predictive Load Balancing, Behavioral Pattern Analysis, AI-Assisted Bug Detection, QoE Assessment Model, dan Open Source Framework.

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