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Ruang Gugus Mutu Fakultas Ilmu Komputer Universitas Pamulang - Kampus Viktor Lt. 3 Jalan Raya Puspitek No. 46 Buaran, Serpong, Tangerang Selatan, Banten, Indonesia
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Jurnal Informatika Universitas Pamulang
Published by Universitas Pamulang
ISSN : 25411004     EISSN : 26224615     DOI : https://doi.org/10.32493
Core Subject : Science,
Computer Science & IT
Jurnal Informatika Universitas Pamulang is a periodical scientific journal that contains research results in the field of computer science from all aspects of theory, practice and application. Papers can be in the form of technical papers or surveys of recent developments research (state-of-the-art). Topics cover the following areas (but are not limited to): Artificial Intelligence Big Data Business Intelligence Data mining Decision Support Systems Intelligent Systems Machine Learning Network and Computer Security Optimization Pattern Recognition Soft Computing Software Engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 9 No 1 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG" : 5 Documents clear
Principal Component Analysis and Regional Coordinates on Face Recognition in Mobile-Based Attendance Systems Handayani, Indah Puspasari; Pradana, Rizky
Jurnal Informatika Universitas Pamulang Vol 9 No 1 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i1.33362

Abstract

The pattern of attendance in the world of work after the Covid-19 outbreak that hit the world, has apparently brought quite big changes, due to the taboo on gathering and using shared media which is considered a medium for the spread of bacteria/viruses. The way out of this is to use facial recognition and collaborate with location coordinates using a mobile application that can be used on each smartphone to authenticate workers in changing the characteristics of presence data, so that the presence process cannot be represented. The method used for face recognition in this research is Principal Component Analysis (PCA) by linearly transforming eigenvalues ​​and eigenvectors from extraction and reduction of faces captured from the mobile presence application. Based on the trials carried out, the success rate reached 78,667% for testing the functionality and strength of facial recognition.
Penerapan Metode Image-to-Speech melalui Kamera dalam Aplikasi berbasis Kecerdasan Buatan untuk Orang dengan Disleksia Aprillio, Daniel; Atmadjaja, Anna Bella; Bryan; Wijaya, Mychael; Saputri, Theresia Ratih Dewi
Jurnal Informatika Universitas Pamulang Vol 9 No 1 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i1.39173

Abstract

Dyslexia occurs worldwide despite the culture or language. Dyslexia affects about 9% - 12% of the population, with 2% - 4% of the population experiencing significant reading impairments. This research aims to develop an artificial intelligence-based application using the Image-to-Speech method that can convert digital text into audible sound for individuals with dyslexia without requiring their brain to process the writing. This method can assist people with dyslexia in daily life challenges such as reading traffic signs, books, or documents. Results from 10 experiments on the implementation of the proposed method indicate that individuals with dyslexia can scan the text they want to read using a camera from a smartphone or laptop. The expirements also shows that the application can convert text in image form into sound comprehensible to those with dyslexia, thus facilitating their recognition of digital writing with 90% accuracy. The application also demonstrates efficiency in terms of data processing time. The average time required for image to audio conversion is 0.22 seconds, with an average memory usage of 163.2 MiB.
Application of Traditional Machine Learning Techniques for the Classification of Human DNA Sequences: A Comparative Study of Random Forest and XGBoost Airlangga, Gregorius
Jurnal Informatika Universitas Pamulang Vol 9 No 1 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i1.39353

Abstract

This study evaluates the performance of hybrid machine learning models, specifically Random Forest and XGBoost, in classifying human DNA sequences into seven functional classes. Utilizing advanced feature vectorization techniques, this research addresses the challenges of analyzing high-dimensional genomic data. Both models were trained and tested on a dataset of annotated human DNA sequences, with an emphasis on generalizability to new, unseen data. Our results indicate that the Random Forest model achieved an accuracy of 87.98%, slightly outperforming the XGBoost model, which recorded an accuracy of 87.06%. These findings underscore the effectiveness of employing traditional machine learning techniques coupled with innovative data preprocessing for predictive modeling in genomics. The study not only enhances our understanding of genomic functionalities but also suggests robust methodologies for future genetic research and potential applications in personalized medicine. The implications of these results for improving classification accuracy and the recommendations for integrating more complex algorithms are also discussed
Media Pembelajaran Aksara Jawa untuk Anak Sekolah Dasar Menggunakan Augmented Reality Hanif, Rifqi Fadhlurrahman; Avianto, Donny
Jurnal Informatika Universitas Pamulang Vol 9 No 1 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i1.39598

Abstract

Learning the Javanese script used in the Javanese language is challenging, especially for those who are just starting to learn the language. Students and the general public rarely use or are interested in Javanese script because of its difficulty. In order to protect the local language, researchers came up with the idea of teaching Javanese script to students, especially students who are just starting to learn in elementary school. This is done by creating a learning media application that is interesting, easy to understand, and entertaining. This Javanese script learning application is made using Augmented Reality (AR) technology and penanda-based tracking mechanism. This program is a learning tool that can turn 2D objects into 3D objects and bring the virtual world into the real world because it uses Augmented Reality technology. When used with the app's quiz feature, this educational tool can help elementary school students to improve their memory and skills, as well as inspire them to learn more through engaging instructions. The app was tested through blackbox testing to demonstrate its feasibility, with 100% successful results for all intended buttons and functions. AR camera distance testing resulted in a 90% success rate in detecting penandas at a certain distance.
Integrasi Data Absensi dan Perijinan Karyawan pada Aplikasi Kepegawaian Menggunakan Metode Prototype Samsuri Yahya
Jurnal Informatika Universitas Pamulang Vol 9 No 1 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i1.39176

Abstract

This study aims to develop an integrated web-based personnel information system to manage employee absence and permit data in the company S M, which currently still uses a manual and non-integrated system. The research method used is Research and Development (R&D), with an object-based system approach using the Unified Modeling Language (UML) for system documentation. The system was developed using the Prototype Method, with PHP and MySQL-based technology to ensure the system is easy to access and develop. The sampling technique was carried out through direct observation and interviews with the company's HRD department to obtain a comprehensive picture of the needs of the personnel system. The final result is expected to facilitate the management of personnel data, including permit applications and absence reports, as well as improve the efficiency of HRD work in the company.

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