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Marlindia Ike Sari, S.T., M.T.
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International Journal of Applied Information Technology (IJAIT) Fakultas Ilmu Terapan Universitas Telkom; Gd. Selaru Lt. 3 - Jl. Telekomunikasi No. 1 Bandung
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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 127 Documents
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Development of Meandered Microstrip Antenna for RFID Application Agus Sria Warman, Vista; Anwar, Radial; Wahyu, Yuyu
IJAIT (International Journal of Applied Information Technology) Vol 02 No 02 (November 2018)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v2i02.1313

Abstract

Antenna miniaturization has become one important research, especially in mobile communication technology development. This paper presents the development of a miniaturized antenna for RFID application (924 MHz). Meandering technique has been adopted to create a geometrically small antenna relative to its operating frequency. Measurement result shows that the fabricated antenna inherits low return loss, down to -25.915 dB. The geometry of the antenna is 25.54 mm x 16 mm, which is much smaller than its resonance wavelength (0.079? x 0.049?). The measured gain is relatively small, of about -12 dBi. Nevertheless, the obtained parameters are acceptable since the antenna is meant for near field communication application.
Improving the eNodeB Coverage of a Bad Spot Area by Using A Relay Node Ni'mah, Fivie; Putri, Hasanah Putri
IJAIT (International Journal of Applied Information Technology) Vol 02 No 02 (November 2018)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v2i02.1391

Abstract

The quality of LTE (Long Term Evolution) network in WR Supratman Street, Bandung is categorized as quite bad as shown by the average RSRP (Reference Signal Receive) and SINR (Signal to Interference Noise Ratio) values of -101.30 dBm and 2.43 dB, respectively. Both parameters are below the standard operator with the average RSRP and SINR standard values of -101.30 dBm and 2.43 dB, respectively. The previous field measurement indicated that the area belonged to a bad spot area caused by shadowing buildings. This study used the node scheme of decode and forward and physical mode of inband relay node with the aim of extending the eNodeB coverage. By applying this technique, the average RSRP value increased by 18% and the average SINR value increased by 53%. Based on the RF (Radio Frequency) parameters, the average RSRP value with samples below the -85 dBm standard improved by 81%, while the average SINR value with samples below 5 dB improved by 45%.
Experimental Testing of The Roblox Platform for Control System GUI Design Putawa, Rilliandi Arindra
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.v8i1.7589

Abstract

This research focuses on the design of a two-dimensional-based control system using Roblox Studio, a metaverse platform that has been proven to provide learning facilities in engineering. This research is conducted using two testing methods: direct testing in the Roblox application and testing using the Black Box testing method in the Roblox Studio. The testing is performed step by step, starting from testing user interactions with the system, testing GUI's ability to respond to user inputs, testing the ability to implement mathematical functions and display them in text form, and testing Roblox's capability to display these functions in simple graphic form. The design results can then be tested by analyzing the system's output in the form of mathematical calculations and how these results are shown through the designed two-dimensional interface. There is no direct correlation between mathematical calculation results and the aesthetics or comfort of the systems' GUI. Errors in such simple mathematical operations can be one factor in the occurrence of errors in open-loop systems. Roblox is highly recommended to provide more dynamic functions on BillboardGUI so that developers can have more options in their design activities.
Implementation of A Motorcycle Vehicle Security System with Arduino-Based Fingerprint, Global Positioning System and Short Message Service Gateway Rizal, Randi; Sudiarjo, Aso; Widiyasono, Nur; Nusamsi, Dede Rizal; Faiz, Muhammad
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.v8i2.6354

Abstract

The increase in demand for motorized vehicles, especially motorcycles, from 2016 - 2021 has recorded an increase of 5.03% per year. Along with the increasing number of people using motorbikes as their main means of transportation, there is a growth in motorcycle theft. One cause of the increase in these cases is that the motorcycle security system still relies on the lock system. So, it is necessary to improve security with unique modern keys that can only be accessed by specific people, one of which is a security system using biometric technology. This research has combined motorcycle security systems using fingerprint, GSM and GPS modules based on Arduino Uno. The results of testing the fingerprint module scanning time obtained an average scanning time of 1.04 seconds. Testing the SIM800L GSM module obtained an average processing time of receiving SMS and sending back a response to a registered number, which is 9.32 seconds and the results of testing the accuracy of data retrieval between the U-blox Neo-6m GPS module and GPS on the Oppo A3S brand smartphone, with the calculation of the average difference distance of 0.75 Meters. Motorcycle vehicle security was successfully implemented by utilizing the fingerprint module, GPS module and GSM module as an intermediary in the form of SMS between the user and the microcontroller so that it functions as layered security.
Implementation of the Apriori Algorithm on Outdoor Equipment Rental Transaction Data Based on Clustering Using the K-Means Algorithm Rizal, Randi; Ruuhwan, Ruuhwan; Al Husaini, Muhammad; Nursamsi, Dede Rizal; M, Meto Rizki
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.v8i2.6367

Abstract

Outdoor equipment rental services play a critical role in meeting climbers’ needs prior to expeditions. Sustaining business continuity in this sector requires effective marketing strategies, particularly given the increasing market competition. This study employs data mining techniques to analyze rental transaction data and identify patterns that support strategic decision-making. Specifically, clustering is performed using the K-Means algorithm to group transactions with similar attributes, followed by association rule mining using the Apriori algorithm within each cluster. A dataset comprising 1,276 valid transactions was processed, resulting in three clusters containing 324, 264, and 688 records, respectively, with an accuracy of 0.998. Apriori analysis generated 13 association rules in Cluster 0 and 2 rules in Cluster 1, while no rules met the minimum support and confidence thresholds in Cluster 2 or the overall dataset. These findings demonstrate that clustering prior to association rule mining can uncover meaningful patterns that are not evident in aggregated data. Such insights can inform targeted marketing strategies, including recommendations for item combinations frequently rented together. Future research may integrate alternative algorithms such as ECLAT or FP-Growth and explore framework-based systems to enhance scalability and precision in data-driven decision-making.
MotivEat: A Web-Based Meal Planning Application with Ingredient Recognition for Personalized Nutritional Guidance Baldovino, Britanny; Estephany Ferrer, Beverly
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.v8i2.8134

Abstract

Noncommunicable diseases are prevalent in the Philippines. Filipinos increasingly suffer from undernutrition or overnutrition. This can be caused by a lack of budget and nutritional awareness. Tolerating improper macronutrient intake is related to a higher risk of chronic diseases. Although varying solutions have been attempted, there is potential for discoveries. Specifically, with food choice technologies, motivation is an under-researched topic. Thus, this study explores the topic through the development of a meal planner web application that enables users to plan meals based on recipe selections tailored to their recommended macronutrient intake and available ingredients. Considering price, convenience, and experience, a proposed motivational concept based on nudging was to enable users to find recipes by scanning available ingredients. For this, a machine learning object detection model was trained to detect ingredients and find recipes. The model had a mean Average Precision (mAP) of 0.526 and an Average Recall (AR) of 0.539. Still, it could detect ingredients even when set at an accuracy of 90% and above. It was then integrated into a web application. Once accessible, the deployed web application was evaluated by nutritionist dietitians and other respondents. An average System Usability Scale (SUS) score of 79/100 was obtained. Moreover, the computed scores for the Intrinsic Motivation Inventory (IMI) subscales were all higher than 5 out of 7, with a Cronbach’s Alpha value of 0.7. Responses to open-ended questions also showed that users are motivated to eat healthier if they have increased nutritional awareness and pre-existing ingredients in suggested recipes.
Multi-Object Inventory System Using Ultra-High Frequency Radio Frequency Identification (UHF RFID) Based on Internet of Things Hasibuan, Faisal Candrasyah; Dinimaharawati, Ashri; Ash Shiddieqy, Hasbi; Fatahillah, Faraday Barr; David, Axel; Aslam, Muhammad Rafindha
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.v8i2.9571

Abstract

This study develops an IoT-based inventory system that integrates UHF RFID technology with proximity sensors and an Android application to enable real-time multi-object tracking. The system automatically detects item movement direction (in/out) through sensor sequencing and provides cloud-based monitoring. Testing revealed exceptional single-object performance (100% accuracy at 1-5m distance; 1.53-1.62s avg. transmission time), but significant degradation with multiple objects, particularly beyond 3m (e.g., 5% accuracy for three objects at 5m). Although API integration enabled efficient data transmission, performance was constrained by ESP32 buffer limitations, RFID tag quality, and network stability. The solution demonstrates potential for low- to moderate-intensity inventory environments, providing a foundation for improving accuracy, although further comparative evaluation is required.

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