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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 630 Documents
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Sistem Informasi Aplikasi Penyewaan Lapangan Futsal pada Tons Futsal Berbasis Web Yulianti, Yulianti; Mulyati, Sri; Al'Gani, Adam Lutfi; Suhartono, Ismi; Triananda, Guntur Chandra; Ramadani, Ramadani
Jurnal Informatika Universitas Pamulang Vol 7 No 1 (2022): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v7i1.19544

Abstract

In Tons Futsal, the information system for reserving pitches is still manual. Reservations made on the field in handwriting. Calculations and proof of payment continue to rely on a large amount of paper or books to generate payment reports, so to summarize, the data manager faces challenges because there is a large amount of paper to collect, as well as no organized storage of bookings data that makes proper and accurate use of the futsal field, allowing data to be lost. The goal of this research is to contribute to the improvement of the files ordering and data processing processes on Tons futsal. The interview technique, system analysis, system design, implementation, and maintenance of the software are all employed in this process. It is believed that the findings of this research will help managers and customers overcome common roadblocks and improve their efficiency and effectiveness.
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.
Implementasi Sitamia dalam Pemetaan Budidaya Ikan Air Tawar Berbasis Website di Daerah Lahan Kering TTU Seran, Krisantus Jumarto Tey; Rema, Yasinta Oktaviana Legu
Jurnal Informatika Universitas Pamulang Vol 9 No 2 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i2.35550

Abstract

Fresh water fish pond information spreading over North Central Timor is still very limited to be known by the community. The hardship to obtain the location impacts the fish farmers in doing the transaction with their consumers. This research is conducted with the aim of developing Geographic Information System to the public so that they can easily find the spreading of fish pond locations, particularly around the North Central Timor Regency. The fish pond information system being developed in this research is called SITAMIA. The SITAMIA information system is able to spread information on fish pond, fish products being sold, fish pond location, the distance between buyers and sellers, and the navigation map to the fish selling area. Prototype method is utilized as the roadmap in developing the SITAMIA. The usage of this method is due to its prototype implementation is in line with the users’ need in the community. The development and the application adjustment of this method are based upon the SITAMIA users’ inputs. There are five stages in prototype method namely: Communication, Quick Plan, Modelling Quick Design, Prototype, Deployment Delivery and Feedback. Black box method was employed in website testing where each function of the system was tested. The test result showed that SITAMIA could manage and perform information as expected.
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.
Implementasi Algoritma First Come First Served dengan Metode Agile pada Sistem Manajement Bengkel Selbaf Basunondro, Wibiartono; Maimunah; Pristi Sukmasetya
Jurnal Informatika Universitas Pamulang Vol 9 No 3 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i3.41358

Abstract

This research aims to enhance the efficiency of management at Bengkel Selbaf, a motorcycle injection specialist workshop located in Kuncen, Badran, Kranggan, Temanggung, Central Java. Currently, the workshop relies on manual processes for ordering, scheduling home services, and managing finances and bookkeeping, leading to confusion and difficulties in registration, service queues, and data processing. To address these issues, this study employs the Agile Software Development method to design and develop a web-based application that facilitates workshop management. Data collection techniques used include observation, interviews, and literature review. The result of this research is a "Web-Based Workshop Management Application" that implements the First Come First Served (FCFS) algorithm for service arrangement. It is expected that this system will improve data management efficiency for the workshop owner and make it easier for customers to order home services, while also providing transparency and fairness in the service queue process.
Design and Implementation of custom Point of Sales using Waterfall Method for Corner Shop 70 Yovita Chandra, Kezia; Tanamal, Rinabi
Jurnal Informatika Universitas Pamulang Vol 9 No 3 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i3.42831

Abstract

With globalization, technological growth in various parts of the world is rushing. Likewise, every year, the use of ICT always increases in Indonesia. We can feel the world starting to digitalize every aspect of people's lives, such as education, health, etc. Digitalization in business sectors helps minimize problems experienced mainly by small and micro-scale, such as stock-opname errors. The same situation occurred in one of the micro-businesses, Toko Pojok 70, which runs the business process manually. This research is conducted due to unintegrated data and complicated stock recording processes. The owner tends to lose the item, and sometimes miscalculates the total transaction which leads to business loss. The solution to the owners’ problem is by technology known as point of sales (POS). By adopting the Waterfall method business owners can determine what features on POS are needed to adopt their business processes which involve managing goods, reporting, transactions, and return processes also may help run business processes faster, more precisely, and organized. Based on the requirement analysis, implementation, and testing result. The point of sales that has been created can be implemented on Toko Pojok 70 to handle the problems that occurred in the business.
Pengaruh Smoothing Data Terhadap Hasil Prediksi Volume dan Ritasi Sampah di Kota Bandung Menggunakan Metode Regresi Linear Gunawansyah; Ihsan Fauzi
Jurnal Informatika Universitas Pamulang Vol 9 No 3 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i3.43271

Abstract

The waste problem is very important in big cities, especially Bandung. The population, people's lifestyles and waste management that has not been carried out professionally are a challenge in itself. One of the preparatory steps to deal with the waste problem is to predict the development of waste volume. In this study, a statistical time series approach, namely the linear regression method, is used to predict the volume and transportation of waste in the city of Bandung. In the prediction process, data processing before being used in the prediction process plays an important role, one of which is data smoothing. A process to smooth the data using the moving average method with intervals of 2.3 and 4 and moving averages with weights of 242 and 12421 will be used to see its effect on the prediction results. Scenario 1 of the data used is all monthly data in the dataset time range and scenario 2 uses the same month's data for each year to predict the results of the month in the following year. The results of the volume and transportation predictions of waste between the best results from the Smoothing method and the results without going through the data smoothing process in scenario 1 show less significant results, namely less than 1%, while in scenario 2 it shows quite significant results, namely around 10% when compared to the actual data. Patterns and data ranges affect the final result from scenarios above.
Analisis Visual dan Karakteristik Klub Sepakbola Liga Inggris Berdasarkan Pola Permainan Menggunakan K-Means Clustering Yudhianto, Rachmat Bintang; Yusuf, Fajar Athallah; Fitrianto, Anwar; Jumansyah, L.M. Risman Dwi
Jurnal Informatika Universitas Pamulang Vol 9 No 3 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i3.44640

Abstract

This research aimed to analyze and cluster football teams in the English Premier League (EPL) for the 2023/2024 season based on their playing characteristics using K-Means clustering. Understanding the playing styles is essential for optimizing strategies and enhancing team performance. Preprocessing steps included data cleaning, feature engineering, and visualization of key features such as goals, shots, and attacking attempts. Four clusters were identified using the Elbow method, representing teams with varying levels of attacking and defensive capabilities. Evaluation of the clustering results was conducted using Davies-Bouldin (score: 0.47), Calinski-Harabasz (score: 275.89), and Silhouette (score: 0.53) metrics, indicating moderate clustering quality. The findings suggest that EPL teams tend to be attack-oriented, while defensive strength varies across clusters. Limitations in the dataset, such as the number of observations and features, impacted the analysis, and future studies may benefit from incorporating additional features and advanced dimensionality reduction techniques.
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.

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