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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 6 Documents
 1 
Search results for , issue "Vol 9 No 4 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG" : 6 Documents clear
Implementasi Optical Character Recognition dan Text Similarity untuk Pelaporan Uang Muka Kerja Susanty, Meredita; Megandi, Megandi; Setiawan, Erwin
Jurnal Informatika Universitas Pamulang Vol 9 No 4 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The request and accountability reporting of cash advances in companies are now widely supported by web-based applications. However, the process of verifying the completeness and consistency of expense receipts against financial reports is still performed manually by financial staff, which is time-consuming. This study aims to implement Optical Character Recognition (OCR) technology to extract text from payment receipts and match it with expenditure items in financial reports. This technology enables the automation of financial verification processes using a text similarity algorithm based on Levenshtein Distance. By implementing this system, the time required for financial report verification can be significantly reduced, allowing staff to focus on more strategic tasks. The system was tested by integrating the Veryfi OCR application with an API-based system to process payment receipts in various formats. The test results indicate that the system successfully identifies and matches transactions with a high accuracy rate. However, further development is needed to incorporate discount and tax calculations from payment receipts.
Empowering Eight Through a Web-Based Repository System in Improving Student Research Performance Kania, Raden; Solihati, Tifani Intan; Hidayanti, Nur; Bisri, Achmad; Roza Marmay; Edy Rakhmat
Jurnal Informatika Universitas Pamulang Vol 9 No 4 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i4.36842

Abstract

Preliminary. The Banten Jaya University Library repository system still uses the conventional method of storing it on a shelf in the reference room, this makes it difficult for students who are completing their final project/thesis to access it online. Moreover, with the closure of the campus due to the COVID-19 pandemic, the PSBB and PPKM were continued. Research purposes. This research makes it easier for students to access library repository collections wherever they are, measure the extent of students' literacy skills in utilizing information sources, and show the impact on their research performance. Research methods. The data collection method uses a questionnaire, with statistical analysis, a model for assessing student literacy skills with Empowering 8, which is a research method used to produce products and test the effectiveness of these products, with the Waterfall system development model, which consists of analysis, design, implementation, and testing. Data Analysis. Metadata obtained from the repository application, distributing questionnaires to students taking Thesis/Final Project courses from each faculty. Results and Discussion. The literacy level of Banten Jaya University students is quite good, especially after the online repository has been built, there is a significant correlation between student literacy levels and student performance results. Conclusions and suggestions. A good literacy level is the basic capital in solving student problems while doing their research, it is necessary to have a Research Information Literacy program for students that is integrated with Research Methods courses so that student research performance increases in accessing the repository that has been built.
Klasifikasi Emosi Berdasarkan Suara dengan Metode Convolutional Neural Network Rismanto, Muhammad Elio Phillo; Handayani, Irma
Jurnal Informatika Universitas Pamulang Vol 9 No 4 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i4.45236

Abstract

Voice-based emotion detection technology (SER), is the study of machines' ability to comprehend patterns in voice data, utilizing a range of methods and features. However, its utilizations remains limited due to the inherent challenges faced by machines in accurately discerning emotions. This research was conducted using a frequently used method, namely CNN and was developed to produce a high-accuracy method, with spectrogram features due to their capacity to record frequencies in RAVDESS. The data set comprised 2068 voice samples classified into five emotion classes: angry, afraid, happy, sad, and neutral. The augmentation of all data regarding noise, pitch, shifting, stretching, and high and low speed, was implemented to replicate real-world conditions. This research was conducted by training on several parameters such as: learning rate, dropout rate, kernel, weight decay size, optimization, epochs, and batch size. This research resulted in a CNN method with the best parameter values produced {weight_decay': 1e-07, 'optimizer': 'adamw', 'learning_rate': 0.001, 'kernel_initializer': 'he_normal', 'dropout_rate': 0.5, 'epochs': 100, 'batch_size': 48}, which has score value of 0.7448840381991815. The model demonstrated a general accuracy level of 75.85% for the training data and 51.64% for the test data, indicating its ability to recognize existing patterns but difficulty in generalizing new data. However, the ROC curve values indicate that the model is capable of differentiating voice data into its respective classes, with values of 0.84 for angry emotions, 0.79 for fear emotions, 0.83 for happy emotions, 0.80 for sad emotions, and 0.9 for neutral emotions.
Implementasi IoT pada Kotak Donasi dengan Sensor TCS3200 untuk Deteksi Uang Kertas Menggunakan Firebase dan Bot Telegram Anggraini, Nenny; Shaeku, Muhammad Akhil
Jurnal Informatika Universitas Pamulang Vol 9 No 4 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i4.45280

Abstract

Mosques are the center of Muslim spiritual and community life, thus requiring effective financial management. This research aims to develop a smart donation box based on Internet of Things (IoT) technology to improve efficiency and transparency in donation management. This research methodology uses a prototyping method consisting of the stages of Communication, Quick Planning, Quick Modeling, Construction, and Evaluation, which are designed to quickly produce functional prototypes. The results showed that the smart donation box was able to detect and count paper money with an optimal success rate of 85% at a sensor distance of 1 cm. However, the detection rate decreased to 57% at a distance of 0.5cm and 42% at a distance of 1.5cm, indicating that the position of the sensor significantly affects performance. The system enables real-time financial monitoring through the Telegram app, significantly increasing the transparency of mosque financial management.
Sistem Informasi Akademik Berbasis Web Menggunakan Metode Pengembangan Sistem Extreme Programming Arafat, Muhamad Yasser; Yoga Putra Pratama
Jurnal Informatika Universitas Pamulang Vol 9 No 4 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i4.46008

Abstract

In the field of education, communication among educational staff, teachers, students, and parents significantly influences the success of the learning process. Smooth communication, delivery, and processing of information are essential needs. The use of technology is expected to accelerate and improve the accuracy of these processes. However, the application of information technology in many schools remains limited. Academic data management processes, such as student, teacher, grade, and attendance records, are often still carried out manually or using Microsoft Excel. Unfortunately, the use of Excel is not optimal as it lacks an integrated database system. This study aims to address the challenges faced by Madrasah Aliyah Andalusia by designing an academic website application using the Extreme Programming method. This method enables faster system development and greater flexibility in responding to changes. The website application allows administrators, teachers, and students to easily access data such as grades, schedules, subjects, and other information. This system is expected to improve the efficiency of academic data management and support the smooth running of educational processes in schools.
Optimasi PSO untuk Meningkatkan Performa Algoritma C4.5 dalam Memprediksi Risiko Kesehatan Kehamilan Ma'mur, Khaerul; Maulana, Asep Erlan
Jurnal Informatika Universitas Pamulang Vol 9 No 4 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i4.46039

Abstract

Nowadays, many diseases are feared to threaten the health of the body in pregnant women and their fetuses, so there is a need for early prevention. One's knowledge in predicting pregnancy health risks is important for prevention. However, precise prediction of such risks can be challenging, given the involvement of considerable and complex data. The C4.5 algorithm is widely used in data analysis. Unfortunately, its performance sometimes does not produce good accuracy. So, it needs to be improved by optimizing its structure parameters. For this reason, the purpose of this research involves the use of PSO (Particle Swarm Optimization) to find optimal parameters for the C4.5 algorithm that can increase the accuracy of pregnancy health risk prediction. The results show that the C4.5 algorithm model that has been optimized with PSO has an accuracy rate of 71.65%, and the standard C4.5 algorithm model only achieves an accuracy rate of 67.49%. There is a difference of 4.16%, which shows the superiority of the PSO optimization approach in improving prediction accuracy in the C4.5 algorithm. So, the application of the C4.5 algorithm optimized with PSO can be used as a positive implication in improving the health care of pregnant women and making more accurate medical decisions. Ultimately, this research illustrates the potential of PSO in optimizing the C4.5 data classification algorithm for health knowledge.

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