cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Marlindia Ike Sari, S.T., M.T.
Contact Email
ike@tass.telkomuniversity.ac.id
Phone
+6285280983983
Journal Mail Official
ijait@tass.telkomuniversity.ac.id
Editorial Address
International Journal of Applied Information Technology (IJAIT) Fakultas Ilmu Terapan Universitas Telkom; Gd. Selaru Lt. 3 - Jl. Telekomunikasi No. 1 Bandung
Location
Kota bandung,
Jawa barat
INDONESIA
IJAIT (International Journal of Applied Information Technology)
Published by Universitas Telkom
ISSN : -     EISSN : 25811223     DOI : https://doi.org/10.25124/ijait
Core Subject : Science,
Computer Science & IT
International Journal of Applied Information Technology covers a broad range of research topics in information technology. The topics include, but are not limited to avionics, bio medical instrumentation, biometric, computer network design, cryptography, data compression, digital signal processing, embedded system, enterprise information system, green energy & computing, interactive programming, internet of things, IT management and governance, IT-business strategic alignment, mobile and ubiquitous computing, monitoring system and techniques, multimedia processing, network security, power electronics, remote monitoring and sensing device, robotics and avionics, signal processing circuits, smart cities and smart grids, telecommunication devices & methods, telecommunication fundamentals.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 124 Documents
 8   9   10   11   12 
Early Estimation of Earthquake Magnitude Using Machine Learning Novianty, Astri; Prasasti, Anggunmeka Luhur; Saputra, Randy Erfa
IJAIT (International Journal of Applied Information Technology) Vol 07 No 02 (November 2023)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v7i02.5994

Abstract

Seismic parameters provide important information that describes the characteristics of an earthquake. The magnitude parameter is one of the essential seismic parameters in making the right decision regarding earthquake disaster mitigation. Determining the magnitude of an earthquake must be done early because this information represents the size of the earthquake and the potential damage it causes. If the determination of the earthquake’s magnitude is delayed, emergencies such as the evacuation of residents and post-disaster recovery may be disrupted. This study attempts to estimate the earthquake magnitude parameters based on Primary (P) wave signals using several machine learning algorithms for regression, such as Neural Network Regression (NNR), Random Forest Regression (RFR), and Support Vector Machine Regression (SVMR). The experimental results show that the RFR can produce the best estimation with an R-squared (R2) value of 0.946 and a root mean square error (RMSE) of 0.087.
Comparison Analysis of Dijkstra and A-Star Algorithms in NPC (Non-Playable Character) Movement on a Single-Player Game: Case Study: Chaos Crossing Game Dhaifullah, Dany Zaky; Adiwijaya, Nelly Oktavia; Pandunata, Priza
IJAIT (International Journal of Applied Information Technology) Vol 08 No 01 (May 2024)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v8i1.6053

Abstract

Artificial intelligence in a game plays a vital role in enhancing the player's gaming experience, especially in single-player games. NPCs are the primary means of interaction in single-player games, assisting and guiding players like interactions with other players. Chaos Crossing requires pathfinding technology for optimal NPC movement, allowing them to navigate the environment grid-based while avoiding static obstacles. The Dijkstra algorithm and the A-Star algorithm need to be compared because, based on previous research, the Dijkstra algorithm has proven effective for calculating the shortest distance to the destination point in a static environment based on a two-dimensional grid with characters moving in it, as well as the A-Star algorithm can avoid a static environment based on grid and is used to determine the shortest distance to the destination point in the character's movement. This quantitative research aims to find a solution that optimizes NPC movement by testing and comparing Dijkstra's and A-Star's algorithms in a static environment grid based on the game Chaos Crossing. The test results and comparative analysis show that the A-Star algorithm performs a faster route search with an average value of 36.37 seconds than Dijkstra's algorithm with an average matter of 20.76 seconds and utilizes memory more efficiently with an average value of 20.19 MB than Dijkstra's algorithm with a value 22.17 MB on average. However, Dijkstra's algorithm produces a slightly shorter track distance, with an average value of 42.26 units, compared to the A-Star algorithm, with an average value of 42.39 units.
IWDSA: A Hybrid Intelligent Water Drops with a Simulated Annealing for The Localization Improvement in Wireless Sensor Networks Gumaida, Bassam; Ibrahim, Adamu Abubakar
IJAIT (International Journal of Applied Information Technology) Vol 08 No 01 (May 2024)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v8i1.6456

Abstract

Improving localization accuracy and reducing development costs are pivotal keys and main issues in managing and administrating wireless sensor networks (WSNs). This paper considers a modern and qualified algorithm that leverages advanced optimization techniques to localize nodes deployed in outdoor environments. The proposed algorithm, named Intelligent Water Drops with Simulated Annealing (IWDSA), combines two powerful optimization methods: Intelligent Water Drops (IWD) and Simulated Annealing (SA). IWD is a qualified stochastic optimization tool adept at minimizing objective functions. In IWDSA, SA is integrated to enhance solution quality and prevent IWD from getting trapped in local minima. This paper ensures that internal distances between nodes are calculated using Received Signal Strength Indicator (RSSI) measurements. The paper aims to achieve two primary goals. First, it addresses the challenge of low accuracy in RSSI measurements by employing IWDSA. Second, it aims to achieve highly accurate localization of unknown sensor nodes in WSNs. IWDSA enhances localization precision due to its flexible implementation of IWD and SA, combined with the cost-free utilization of RSSI. Simulation results demonstrate the reliable performance of the proposed algorithm in solving the low accuracy of RSSI measurements and localizing unknown nodes with high accuracy. Additionally, simulation results confirm that the proposed algorithm IWDSA exhibits outstanding performance compared to other algorithms utilizing optimization techniques, including genetic algorithms, bat algorithms, ant colony optimization, and swarm optimization. This exceptional performance is evident across various evaluation metrics, including localization error, localization rate, and simulation runtime.
Simplification of Workflow-oriented Security Assessment Yunizal, Edri; Wardana, Aulia Arif; Niarman, Abdurrahman
IJAIT (International Journal of Applied Information Technology) Vol 07 No 02 (November 2023)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v7i02.6797

Abstract

One of the protection mechanisms for organizations to protect their data is through information security risk assessment. The main obstacle in this area is asset dependency. Previous research developments tended to produce models that were difficult to implement because they were only applied to small assets, in contrast to the complexity of implementation in the field. This form of problem solving is a workflow-oriented security assessment solution that provides security rationale from a holistic perspective. The weakness of complexity in workflow oriented then became the basis of this research. The proposed solution is a simplification by using combined nodes that enable a modular concept. The modular concept is then applied to a reliable model, a data flow diagram. The study output shows the contribution of offerings with assessment solutions that consider dependencies by simplifying asset complexity in workflows in a modular manner with data flow diagrams.
Implementation of the Low-cost Islamic Peer to Peer Financing Model in Student Entrepreneurship Financing Applications Rahmat, Biki Zulfikri; Rachman, Andi Nur; Dewi, Euis Nur Fitriani; Alwin, Muhammad
IJAIT (International Journal of Applied Information Technology) Vol 08 No 01 (May 2024)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v8i1.6839

Abstract

Currently, there are many applications of technology-based financial funding, and some have even been legalized by the Financial Services Authority (OJK), which is called fintech. In reality, it is still burdensome for business actors because of the difficulty in paying the installments that must be borne, whereas the business will have funds only if the goods they are selling are sold. In the Siliwangi University campus environment, students are required to take entrepreneurship lectures. So far, the learning process activities have only been in the form of concepts and theories; this has become an obstacle to field practice. In the field of entrepreneurship, these students become business actors. However, there is a difficulty in practicing entrepreneurship since students' capital is limited. On this issue, the campus is obliged to facilitate the creation of an entrepreneurial learning process as an investor. To connect the entrepreneurship learning process, information technology is needed. The application is intended to assist in the process of providing business capital by applying the concept of Islamic economics, namely the Islamic peer to peer financing model. This model provides flexibility between business actors and investors in providing financial assistance with potential profits and losses shared together. Based on the above problems, to support student entrepreneurship programs, it is necessary to apply financing for entrepreneurship program assistance based on the Islamic peer to peer financing model. From the results of testing the application can be applied to support the student entrepreneurship learning process based on the respondent's score of 82.08333 which indicates that the System Usability Scale value for this application is Acceptable.
Conversational AI for Enhancing English Speaking Proficiency: A Mobile App Rasheed, Areeg Fahad; Zarkoosh, M.
IJAIT (International Journal of Applied Information Technology) Vol 08 No 01 (May 2024)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v8i1.6960

Abstract

As one of the most widely spoken languages globally, English plays a pivotal role in academia, digital communication, and numerous professional domains. English proficiency is vital for academic pursuits, international communication, and careers. The profound impact of artificial intelligence on our daily lives is exemplified by techniques such as chatbots and speech recognition. Leveraging these techniques (i.e., Chatbot and speech recognition), the paper aims to create a user-friendly mobile app to enhance English-speaking proficiency at minimal cost. This study employs three conversational AI models- ChatGPT, Blenderbot, and DialoGPT as chatbots, and uses Google's speech-to-text/text-to-speech models for voice recognition and generation. The developed app and the used models are evaluated through questionnaires and response time measurements, highlighting user satisfaction with the system's realism, accuracy, and user-friendliness. ChatGPT and Blenderbot emerge as top performers in response quality, while DialoGPT excels in response speed.
Design and Implementation of Smart Shopping Cart Based On Web Application Technology Setiawan, Jonathan Vito; Dawwam, Muhammad; Lazuardi, Aldira Fadillah; Wibowo, Suryo Adhi; Rahmania, Rissa; Hidayat, Siddiq Wahyu
IJAIT (International Journal of Applied Information Technology) Vol 08 No 02 (November 2024)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v8i2.7483

Abstract

Due to waiting time in cashier queues, resulting in a decline in consumer satisfaction and loss of precious time. Because of this problem, we proposed the solution for reducing waiting time in the cashier queue is a tool that can identify the type of retail product and the quantity that customers will be purchasing. In creating the design, Blender is used for the 3D, and Figma is used for creating User Inteface (UI). Hardware implementation using Jetson NANO microcomputer with camera modules to capture products and Wi-Fi capabilities to enable seamless cloud integration with its web application. Implemented in parallel with hardware implementation, the software implementation focused on creating a web application that displays every product that enters the Smart Cart. A combination of sensors, wifi modules, and a microcomputer ensures optimal performance for data handling with the database. The approximate round trip connection to the database has a minimum time as small as 17ms while the maximum is 57ms and the average is 23ms.
Performance Analysis of Frame Relay Network Using OSPF (Open Shortest Path First) and MPLS (Multi-Protocol Label Switching) based on GNS3 Harits, Andi; Fahru Rizal, Moch.; Periyadi, Periyadi
IJAIT (International Journal of Applied Information Technology) Vol 01 No 01 (May 2017)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v1i02.869

Abstract

Communication today requires a secure, reliable and efficient network, especially on enterprise networks. This research focuses on combining advantages from Frame Relay, MPLS and OSPF into a modeled multi-site network. The combination is compared to the original OSPF network and analyzed for its throughput, packet loss, and delay. To meet the demand for efficient and resilient network, and to emphasize the advantages of MPLS-OSP as well as to avoid traffic shifting, specific network topology models are applied: full mesh with virtual circuit in core network connected to OSPF nodes for the rest. From analysis and comparison of network quality values obtained at, this combination attests to be reliable and robust network architecture without trading off its efficiency. The average throughput value of the combination networks was 18.47 bps, which is better compared to the OSPF. The average delay and packet loss from combination network also show better results, which are 59.90ms and 2.01% respectively. The results shows that the combination of Frame Relay, OSPF andMPLS generates better performance as well as significant improvement in network security.
Development IT Adoption Method for E-learning in Merged University Rima Aditya, Bayu; Handoko Wijoyo, Mary
IJAIT (International Journal of Applied Information Technology) Vol 01 No 01 (May 2017)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v1i02.870

Abstract

This research presents an overview to develop an IT adoption method for e-learning in a Merged University. The development of IT adoption method in the Merged University is done by adjusting the gap between three elements: IT maturity level (in this case IT for elearning), category adopter of each Merged University and IT adoption criteria of individual actors of adoption. The maturity level of IT maturity level refers to Gartner, Hype Cycle, and Priority Matrix. Classification groups refer to adopter categories according to Rogers. The adoption model uses UTAUT model. For the process, a priority calculation method utilizes Analytical Hierarchy Process (AHP). IT adoption method for e-learning in a Merged University has been tested and can be applied Telkom University, formed from four universities.
An Experimental Connectivity Performance of Simple Wireless Mesh Implementation Using Wireless Distribution System (WDS) Muhammad, Dicky; Indah Hapsari, Gita; Andriana Mutiara, Giva
IJAIT (International Journal of Applied Information Technology) Vol 01 No 01 (May 2017)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v1i02.871

Abstract

Today wireless technology grows rapidly, especially in the field of telecommunications and communications. Computer networks now widely utilizes wireless. Wireless Mesh Network is one of the method which is use to communicate computer wirelessly. One important factor in application of wireless network is how to extend wireless signal coverage. Wireless Distribution System is one way to expand the wireless network by mean of wireless interconnection of access point on the network IEEE 8022.11. This study suggests how to build a simple wireless computer network using WDS technology and describes connectivity performance and its signal coverage. The test result of connectivity performance shows that the connectivity between two computers work properly for reliability and multi SSID testing. However, the connectivity was not success in multichannel testing. Furthermore the test result of coverage shows that the range of wireless signal coverage reaches 39 meters with different circumstance room.

Page 10 of 13 | Total Record : 124

 8   9   10   11   12 

Filter by Year

2017 2024


Reset
Filter By Issues
All Issue Vol 08 No 02 (November 2024) Vol 08 No 01 (May 2024) Vol 7 No 02 (2023): Vol 07 No 02 (November 2023) Vol 07 No 02 (November 2023) Vol 07 No 01 (May 2023) Vol 06 No 02 (November 2022) Vol 06 No 01 (May 2022) Vol 05 No 02 (November 2021) Vol 05 No 01 (May 2021) Vol 04 No 02 (November 2020) Vol 04 No 01 (May 2020) Vol 03 No 02 (November 2019) Vol 3 No 02 (2019) Vol 03 No 01 (May 2019) Vol 02 No 02 (November 2018) Vol 02 No 01 (May 2018) 2017: Documents Vol 01 No 02 (November 2017) Vol 01 No 01 (May 2017) More Issue