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INDONESIA
Jurnal ULTIMATICS
Published by Universitas Multimedia Nusantara
ISSN : 20854552     EISSN : 2581186X     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
Jurnal ULTIMATICS merupakan Jurnal Program Studi Teknik Informatika Universitas Multimedia Nusantara yang menyajikan artikel-artikel penelitian ilmiah dalam bidang analisis dan desain sistem, programming, algoritma, rekayasa perangkat lunak, serta isu-isu teoritis dan praktis yang terkini, mencakup komputasi, kecerdasan buatan, pemrograman sistem mobile, serta topik lainnya di bidang Teknik Informatika. Jurnal ULTIMATICS terbit secara berkala dua kali dalam setahun (Juni dan Desember) dan dikelola oleh Program Studi Teknik Informatika Universitas Multimedia Nusantara bekerjasama dengan UMN Press.
Arjuna Subject : -
Articles 275 Documents
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Development of Restful API Mental Health Application with Microservices Architecture Using Google Cloud Platform Zidan, Muhamad; Mardianto, Is; Salim, Agus
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i1.3280

Abstract

Circle application is an application on the Android operating system that is engaged in the field of mental health. The application requires a server that receives requests to fulfill the features contained in the application, therefore a server is needed one that can be scaled easily and quickly so that there are no long delays in requests, and it is hoped that the code base is easy to maintain and can be rapidly deployed.
Application of Fuzzy AHP-TOPSÄ°S Hybrid Method in Facility Location Selection for Software Systems Aliyeva, Kamala Rafig
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i1.3602

Abstract

- Facility location is an integral part of the strategic planning process of almost every organization. Selecting the right location for software systems facilities involves considering various factors to ensure optimal performance, reliability, and cost-effectiveness. For business success, and competitive advantage there are some critical factors that very highly affect facility location. They are proximity to customers, infrastructure, labor quality, total cost, suppliers, etc. The criteria for selecting a facility location may be vaguely defined or open to interpretation. External factors such as economic conditions, political stability, and environmental risks may introduce vagueness and unpredictability into facility location decisions. These factors are often beyond the control of decision-makers but can have significant implications for the success of software systems. In this paper we apply fuzzy AHP-TOPSIS hybrid method for facility location in software systems. This offered model combines the fuzzy AHP and the fuzzy TOPSIS methods. Fuzzy AHP (Analytic Hierarchy Process) and fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) are both decision-making methods commonly used in facility location selection. AHP helps in structuring a decision problem into a hierarchy of criteria and alternatives, while TOPSIS ranks alternatives based on their distance to the ideal solution. In the first part of the facility location selection process, we use fuzzy AHP method for determining weights of criteria that are important in selection process. Then by using fuzzy TOPSIS we rank alternatives and select appropriate location for facility.
SI-MAMAS : Design and Development of a Mobile-Based Mosque Management Information System Alda, Muhamad
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

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

Abstract

The Nurul Huda Mosque is one of the mosques in the city of Medan. So far, the Nurul Huda Mosque has not provided a facility or media that can be used to manage data, such as management data, financial data, activity data, and inventory data. The data management process is still carried out conventionally on a book, so several problems still occur, especially regarding data completeness, data damage, and loss of data that has been processed. The aim of this research is to build a mobile-based information system that can be used to manage mosque data. In building the information system, the author used the Rapid Application Development (RAD) method, which consists of planning stages, design workshops, and implementation. Meanwhile, the tool used by the author in creating information system designs visually is UML (Unified Modeling Language). The mobile-based information system was built using the Kodular framework and the Airtable database. With this information system, it is hoped that it can help the Nurul Huda Mosque process data easily and quickly via an Android smartphone.
Developing an Android-based Tour Guide Application Sanjaya, Imanuel Vicky; Restyandito, Restyandito; Rini, Maria Nila Anggia; Prabawati, Andhika Galuh
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i1.3704

Abstract

Yogyakarta, renowned as a student city, is also one of Indonesia's top tourist destinations. Its distinctive local culture attracts many visitors, particularly for traditional shopping experiences. An application named Sipasar now offers information about the traditional markets in Yogyakarta. Additionally, the tourism information currently available from the government agency TIC (Tourist Information Center) is only provided in the form of brochures. This information is not very comprehensive as it is limited to the brochure and is also not very up to date because the brochures are printed only in certain years. There is a need to develop an application that can fulfill the tourism information needs of Yogyakarta from the Sipasar application. Besides containing market information, this application also serve as a tour guide capable of providing route and navigation guidance, as well as helping tourists obtain information about local tourist destinations. To address these requirements, an Android-based application called Sipasar Tour Guide was developed. The application underwent blackbox testing to verify the functionality of all features. Moreover, the application was evaluated by respondents using the MARS (Mobile Application Rating Scale) method. This method involved 25 respondents using the application first, then answering questions by giving ratings on a scale of 1 which is the worst to 5 which is the best score. The data analysis results showed that the designed Sipasar Tour Guide application successfully met the needs of providing tourism information to users which is proven by the score of the average from all the answers at 4,5 of 5 scales or 90%, as well as providing routes and navigation for trips. This was proven not only by the results of the blackbox testing but also by the respondents' ratings during the application testing using the MARS method. The highest ratings from the four dimensions (usability, functionality, aesthetics, and information quality) were in functionality and information quality, with percentages of 92.4% and 91.6%, respectively.
Association Rule Mining of Consumer Behavior at MOY Supermarket Using Apriori Algorithm Alifah, Amalia Nur
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i1.3745

Abstract

MOY Frozen Food is a retail business located in Kediri Regency, specializing in the sale of frozen food, beverages, and basic necessities. In recent years, the retail industry has faced numerous challenges, including shifts in consumer behavior, technological advancements, and increasing competition. This study addresses the issue of identifying which products are frequently purchased together and determining appropriate recommendations for consumers. To achieve this goal, association rules are employed to discover correlations and co-occurrences among data sets, which facilitate the identification of product relationships within a single transaction. Using the Apriori algorithm with a minimum support threshold of 0.01 and a confidence level of 0.5, implemented in Python, this research successfully generates association rules. The insights derived from these association rules can be leveraged to develop various sales strategies, ultimately enhancing product sales at MOY Frozen Food.
Optimizing CV Matching with Job Vacancies Using the Boyer-Moore Algorithm Surbakti, Eunike Endariahna
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

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

Abstract

According to a survey conducted by a public survey agency, there was a decline in percentage from 37% to 20%, indicating a gap still exists between skills required by the job market and those possessed by job seekers. To address this issue, this study aims to assess the alignment between data from curriculum vitae (CV) and job vacancies. Boyer-Moore algorithm is implemented through a web-based system. System extracts text from a PDF file, which is used in the application of Boyer-Moore algorithm. System also retrieves selected job vacancy data and generates keywords using YAKE (Yet Another Keyword Extractor). Before processing with Boyer-Moore algorithm, all data undergoes pre-processing. Algorithm's output is either a "match found" or "no match found." Similarity score is determined by dividing number of matching keywords by total number of keywords. Additionally, system recommends other job options, aiming to suggest alternative vacancies that may better match the CV. Recommendations based on highest percentage of keyword matches from all job vacancy data stored in the system, which are sorted accordingly. Boyer-Moore algorithm was successfully implemented in the job vacancy system, and the system's performance evaluation, using 100 job vacancy data entries, yielded an average processing time of 2.84 seconds.
Comparison of Cosine Similarity, Rabin-Karp, and Levenshtein Distance Algorithms for Plagiarism Detection in Document Pardede, Jasman; Yudistira, Agil
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i1.3867

Abstract

Prevention and detection of plagiarism are crucial. There are several algorithms that can be used to detect plagiarism in documents, including the Cosine Similarity, Rabin-Karp, Levenshtein Distance, Hamming Distance, Euclidean Distance, Edit Distance, Ratcliff/Obershelp, etc. Based on the literature review from previous research, three best algorithms were identified: Cosine Similarity, Rabin-Karp, and Levenshtein Distance. However, there has been no study analyzing the comparison of these three algorithms. Therefore, this study will compare the performance of each algorithm and determine the best algorithm for plagiarism detection in documents based on similarity scores and execution time. The research objects use a sample of documents consisting of titles and abstracts from Indonesian-language informatics journals. Cosine Similarity algorithm is superior to others for plagiarism detection in documents, as it produces the highest average similarity score with a relatively fast execution time. The similarity values of Cosine Similarity, Rabin-Karp with 4 k-grams, and Levenshtein Distance are 48.80%, 47.13%, 20.61%, respectively. The average execution time of Cosine Similarity, Rabin-Karp with 4 k-grams, and Levenshtein Distance are 0.22 s, 0.45 s, and 39.15 s, respectively
WEB-BASED ONLINE LEARNING PLATFORM WITH RAD AND LARAVEL METHODS Fahlevi, Mohammad Reza; Mu'minin, Saeful
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i1.3933

Abstract

Technological advancement has brought a great impact in the world of education, especially through utilizing e-learning technology to improve student learning outcomes. The e-learning system designed using the Laravel framework aims to provide easy and flexible access to learning materials as well as allowing class selection according to user needs. This research uses the Rapid Application Development (RAD) method to accelerate the e-learning system development process with a shorter and more efficient cycle. RAD methodology includes requirements planning, system design using UML, development with user feedback, and system implementation with black box testing and user acceptance testing. The implementation results include the login, dashboard, home, payment, class access, exam, and certificate pages. By using the RAD method, it is expected that this e-learning system can improve the learning experience of students at Universitas Nahdlatul Ulama Indonesia (UNUSIA) and provide an effective solution for limited access to learning materials. In addition, this system is expected to facilitate a more interactive and adaptive learning process, and support the achievement of more optimal academic results in this digital era.
Using Convolutional Neural Network and Saliency Maps for Cirebon Batik Recognition Aditiya, Yoga; Overbeek, Marlinda Vasty; Pomalingo, Suwito
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i1.4026

Abstract

Cirebon Batik is one of Indonesia's cultural heritages that has its own unique patterns and motifs, reflecting the cultural richness and history of its region of origin. This study aims to address the challenges in classifying the complex motifs of Cirebon Batik by implementing Convolutional Neural Network (CNN) and Saliency Map methods. The three main motifs used are Mega Mendung, Singa Barong, and Keratonan. The dataset was obtained from various online sources and processed using image augmentation techniques. CNN is used to recognize complex visual patterns, while Saliency Map highlights important areas in the image that influence the model's decision. The results show that the developed CNN model achieved an accuracy of 82%, precision of 83%, recall of 82%, and F1-score of 82%. The use of Saliency Map provides better interpretability and enhances the understanding of the classification process
Prewedding Location Selection Recommendation System using Count Vectorization and Cosine Similarity Kurniadi, Dede; Maulana, Ilham Ahmad
ULTIMATICS Vol 17 No 1 (2025): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v17i1.4050

Abstract

Choosing the right pre-wedding location is a concern for many couples due to the many options available, which often causes confusion and is time-consuming in decision-making. Therefore, a recommendation system is needed to assist couples in determining the prewedding location that suits their preferences. This research aims to provide alternative recommendations for prewedding locations and simplify the process of selecting a suitable location. This system integrates the content-based filtering method by applying count vectorization and cosine similarity calculations to calculate and measure the level of similarity between locations based on features in the dataset when producing prewedding location recommendations. The Rapid Throwaway Prototyping method ensures the system development is done iteratively and involves direct feedback from users. The recommendation system is evaluated using the Mean Reciprocal Rank (MRR) metric to measure the effectiveness of the recommendations provided by the system. The results show that the developed prewedding location recommendation system can provide relevant location recommendations with good performance, as evidenced by the Mean Reciprocal Rank (MRR) value of 0.88, which indicates that the system is effective in placing the most relevant locations at the top of the recommendation list. The high MRR value shows the system's effectiveness in providing relevant recommendations, improving customer experience, and supporting the company's competitiveness in the prewedding documentation industry.

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