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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 6 Documents
 1 
Search results for , issue "Vol 05 No 02 (November 2021)" : 6 Documents clear
Generating Information of URL Based on Web Scraping Using YOLOv3 Face Recognition Technology Lulud Annisa Ainun Mahmuddah; Suryo Adhi Wibowo; Gelar Budiman
IJAIT (International Journal of Applied Information Technology) Vol 05 No 02 (November 2021)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v5i02.3910

Abstract

Artificial Intelligence (AI) is a system developed to learn and apply human intelligence. Some technologies produced from the development of Al are face recognition and web scraping. Face recognition is used for identifying or verifying the identity of an individual using their face. The result of a face recognition process can be used to collect information on the internet with a web scraping technique. This paper proposes a face recognition model and web scraping system using You Only Look Once (YOLO) object detection method and Request library written in Python. The face recognition model performed fine-tuning in two hyperparameters, which are learning rate and step training. The proposed model for face recognition is using custom datasets that contain 8000 images divided into 5 classes and evaluated using the Mean Average Precision (mAP) performance parameter, while the web scraping system is evaluated using the precision rate parameter. From the test results, the best configuration was obtained at a learning rate of 0.0001 and step training of 10K. The highest mAP that is achieved is 0.90 with a recall and precision value of 0.75 for each, while the average precision rate is 0.87. The results of this paper are expected to contribute to the development of biometric security technology.
Design and Implementation of a Final Project Plagiarism Detection System Using Cosine Similarity Method Rival Fauzi; Muhammad Iqbal; Tita Haryanti
IJAIT (International Journal of Applied Information Technology) Vol 05 No 02 (November 2021)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v5i02.4146

Abstract

Plagiarism is an act of taking ideas, taking research results, acquiring research results, and summarizing writing without mentioning the source, either intentionally or unintentionally. The cosine similarity method can be used to calculate the score of similarities between documents by comparing existing documents on the database with uploaded ones to gain a similarity percentage. External plagiarism detection (EPD) is used to compare the contents of articles. The design and implementation of the system will be carried out in several stages in the hope that the system can work optimally and detect text similarities accurately. This research objective is to check the plagiarism rate of the document using the cosine similarity method as a method of calculating word equations called Kipcheck. The purpose of checking the level of plagiarism is to ensure that the documents created have a minimum level of fraud to avoid academic sanctions. Kipcheck uses three application system tests; maximum word calculation that can be processed; comparing application and manual calculation; and testing the consistency of application calculation results based on two different schemes.
Combination of Analytic Hierarchy Process and Simple Additive Weighting for Tourist Attractions Recommendation System Elis Hernawati; Siska Komala Sari; Dedy Rahman Wijaya
IJAIT (International Journal of Applied Information Technology) Vol 05 No 02 (November 2021)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v5i02.4472

Abstract

The selection of the right tourist attractions is always done by tourists before visiting tourist attractions. Tourists have different criteria in choosing the tourist attractions they want to visit. There are many good tourist attractions on the island of Lombok, Indonesia, but of the many tourist attractions, tourists need recommendations for the best tourist attractions to visit. Decision-making methods can be used to create a ranking system. Analytical Hierarchical Process (AHP) is a decision-making method in Multi-Criteria Decision Making (MCDM) problems by combining qualitative and quantitative factors in complex problems. Simple Additive Weighting (SAW) is a decision-making method to generate a rating preference value. The purpose of this paper is to utilize a combination of AHP-SAW to decide the weight of the criteria and the significance of alternative tourist attractions. The results of the calculation of the AHP-SAW combination resulted in the ranking of the best tourist attractions. This study uses five alternative tourist attractions on the island of Lombok, namely Pink Beach (A1), Senggigi Beach (A2), Tanjung Aan Beach (A3), Marese Hill (A4), and Mayura Park (A5) taken fro m several trusted sites. In addition, the five criteria used are visitor reviews, visitor ratings, ticket prices, the distance of tourist attractions fro m the airport, and visiting time. The results showed that the AHP-SAW combination resulted in a consistent ratio value of 0.0371 so that the criterion-weighted data could be used as a basis for calculating the preference value and ranking of alternative tourist attractions. The best alternative for tourist attractions is Tanjung Aan Beach (A3) with a preference value of 0.9554.
Passenger Destination System for Commercial Vehicles Benjamin Kommey; Elvis Tamakloe; Eric Tutu Tchao
IJAIT (International Journal of Applied Information Technology) Vol 05 No 02 (November 2021)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v5i02.4681

Abstract

Public vehicles are predominantly the commonest and most widely used means of transport for humans in this current time. However, passengers who often commute with public vehicles mostly encounter the challenge of missing their destination primarily due to difficulties in communicating their destination to the driver, sleeping in the case of long-distance travel or the inability to recognize their destinations, and many more. In this paper, a fully functional and cost-effective passenger destination alert system for commercial vehicles (PDSCV) was developed. This designed passenger destination alert system provides solutions to the problems and as well meets the needs of some target groups such as the physically challenged. To solve these challenges, a GPS-based location module interfaced with a microcontroller unit was employed in the hardware prototype design. Destination stations were displayed and announced via an LCD and audio system respectively to generally alert all passengers on board the vehicle. The prototype also includes alert buttons beside every seat which were to be used by passengers in emergencies and to alert the driver to skip a particular terminal provided the bus is fully occupied and no passenger intends to alight. In addition to the hardware prototype, a software application was developed to provide further information to first-time travellers. The test and results from the entire system indicate a bridge in the communication gap between the driver and the passengers of commercial vehicles.
Application of Index for Optimization Query Data in Graduate Information Systems Agus Sifaunajah; Rosa Tarbiyatul Khusna
IJAIT (International Journal of Applied Information Technology) Vol 05 No 02 (November 2021)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v5i02.4194

Abstract

Graduates from educational institutions within the foundation of the Bahrul Ulum Islamic Boarding School each year can be more than 1000 people. The potential for this critical data has not been supported by good data collection. The data collection process is still done manually. Therefore, the level of accuracy is still fragile. In this study, an index is applied to perform query optimization. The object of this research is the database of the graduate data information system at the Bahrul Ulum Islamic Boarding School Foundation. Data collection method using literature study and interviews. The experimental stage of this research is done by determining the target output by compiling query commands. Each query command is executed ten times to find the average execution time and runs on two different hardware platforms to determine the effect of hardware on the query process. The study results show that the index can be used for data query optimization but only if it is supported by good hardware specifications so that the command execution time is optimal. When only using the index application, the average difference in execution time is 0.5 seconds.
DSS for Mobile-Based Determination of the Quality of Gayo 1 Coffee Seedlings by Combining the AHP-WP Method Mia Nurjannah; Samsudin Samsudin; Muhammad Dedi Irawan
IJAIT (International Journal of Applied Information Technology) Vol 05 No 02 (November 2021)
Publisher : School of Applied Science, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijait.v5i02.4577

Abstract

Determining the quality of Gayo 1 coffee seeds with manual calculations can affect time efficiency because manual calculations often result in inconsistent and time-consuming calculations. A decision support system is needed to determine the quality of Gayo 1 coffee seeds with consistent and accurate calculations and processed through computational speed. Applying the AHP-WP method can determine the quality of coffee seeds of the Gayo 1 variety at IP2TP Gayo. The discussion that becomes the focus is the application of the AHP method to determine the weight of the coffee seed criteria. The resulting weight can be continued in the calculation of the WP method to determine the quality of the Gayo 1 coffee seed based on the alternative preference value or vector S. The results of the study provide information regarding the quality of coffee seeds that have been tested for quality.

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