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Nusantara Journal of Artificial Intelligence and Information Systems
Published by Universitas Nahdlatul Ulama Indonesia
ISSN : 30908876     EISSN : 30908302     DOI : https://doi.org/10.47776/nuai
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Nusantara Journal of Artificial Intelligence and Information Systems (NUAI) publishes high-quality research and review articles that advance the theory and application of Artificial Intelligence (AI) and Information Systems (IS) across industry, government, academia, and research institutions. The journal focuses on innovative approaches in human–AI interaction, machine learning, intelligent systems, data engineering, computer vision, natural language processing, data analytics, blockchain-based systems, and other emerging AI technologies, as well as on the design, development, implementation, and evaluation of information systems including software engineering, software quality assurance, decision support systems, health and accounting information systems, IT governance and audits, spatial and geographic information systems, smart city information systems, socio-technical perspectives, enterprise systems, and the role of information systems in developing countries. NUAI welcomes contributions that provide theoretical insights, practical solutions, and interdisciplinary perspectives that strengthen the integration and advancement of AI and information systems.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 10 Documents
 1 
Decision Support Systems for Determining the Best Santri at PPTQ Al Kaukab using Simple Additive Weighting Method Prabowo, I Putu Deny Arthawan Sugih; Mufidianingsih, Hana; Fahlevi, Mohammad Reza
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 1 (2025): June
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i1.1590

Abstract

A Decision Support System (DSS) is a tool developed to aid in making decisions that are more accurate, efficient, and well-organized, particularly when assessing several options using multiple criteria. This research designed a Decision Support System (DSS) utilizing the Simple Additive Weighting (SAW) method to identify the top-performing santri at PPTQ Al Kaukab. The purpose of the system is to enhance educational quality by objectively selecting exceptional students for acknowledgment. The assessment was based on seven weighted criteria, including attitude, attendance, academic performance, and rule violations. Data were collected from seven selected santri, and each was scored and normalized before being processed using the SAW method. The final ranking showed that A3 (Muhda Lutfa Azizah) achieved the highest score of 0.803, followed by A1 (Unifah) with 0.791, and A5 (Tasa) with 0.686. These results indicate that the SAW method is effective in delivering accurate, fair, and transparent recommendations, making it a reliable approach for structured decision-making in pesantren environments.
Classification of Skin Diseases using Digital Image Processing with MobileNetV2 Architecture Tarisafitri, Nahla; Aljabar, Andi
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 1 (2025): June
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i1.1594

Abstract

Skin diseases are prevalent in tropical countries like Indonesia, where geographical and climatic conditions facilitate their spread. This research aims to classify skin diseases using digital image processing with the MobileNetV2 architecture. The DermNet dataset is used to develop and test the model. Various image preprocessing techniques, including resizing, augmentation, and normalization, were applied to the dataset, which consists of 300 images categorized into dermatitis, psoriasis, and scabies. The model achieved a training accuracy of 90% and a validation accuracy of 70%, with notable success in classifying psoriasis. The findings suggest that MobileNetV2, when combined with CNN, is a promising tool for diagnosing skin diseases early and efficiently.
Website Quality Evaluation of PCNU Kota Depok Based on User Satisfaction using WebQual 4.0 Huda, Khairul; Juwono, Musaid Purnomo; Nabawi, Fezan
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 1 (2025): June
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i1.1606

Abstract

This study aims to analyze the quality of the PCNU Kota Depok online news website in relation to user satisfaction. The method used is WebQual 4.0, one of the techniques for measuring website quality based on user perceptions across four dimensions: usability, information quality, interaction quality, and overall impression. The results of the study, based on Crosstab and Chi-Square tests, indicate that differences in perception across attributes in the four dimensions are not entirely influenced by respondent characteristics such as education, gender, age, and occupation. According to user perceptions, the service quality of the PCNU Kota Depok website can be measured by the highest levels of satisfaction in the following order: Overall Impression (4.09), Information Quality (3.92), Usability (3.76), and Interaction Quality (3.61). These results provide valuable insights for improving user experience and guiding future development of the PCNU Kota Depok website.
Development of an Android-Based Tourism Application for Banyumas Regency using the Waterfall Model Hananta, Arnelka; Prasetyo, Novian Adi; Arifa, Amalia Beladinna
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 1 (2025): June
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i1.1613

Abstract

Tourism is a key sector for regional economic growth and needs to be supported by the use of technology. This research aims to design and build an Android-based tourism application for Banyumas Regency using the Waterfall method. The application provides information on various tourist destinations, including nature, artificial attractions, culinary spots, and hotels. The development process followed the sequential stages of needs analysis, system design, implementation, testing, and maintenance. Unified Modeling Language (UML) diagrams were used for system modeling, while Android Studio and Firebase Firestore served as the main development tools. System functionality was validated through Blackbox Testing, while usability was assessed using the System Usability Scale (SUS) method. The application successfully passed functionality tests across multiple smartphone models and achieved an average SUS score of 84.83, indicating excellent usability. The research concludes that the tourism application effectively assists users in finding tourism information in Banyumas Regency. Future improvements are suggested by adding features such as distance-based recommendations and advanced search functions to enhance user experience.
Design and Build Javanese Script Games for Elementary Schools using the Game Development Life Cycle Method Aprylia; Prasetyo, Novian Adi
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 1 (2025): June
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i1.1614

Abstract

The Javanese script is a crucial part of Indonesia’s cultural heritage but is increasingly neglected by younger generations. This study aims to address the declining interest in learning the Javanese script by developing an educational game titled Susun Aksara Jawa for elementary school students in grades 3 to 6. The game was designed using the Game Development Life Cycle (GDLC) method and implemented through Construct 2, integrating gamification elements such as points, levels, badges, and progress tracking to enhance students’ motivation and engagement. The research process involved problem identification, literature review, data collection through pre-questionnaires, game design and development, functional testing using the Blackbox Testing method, and usability evaluation using the System Usability Scale (SUS). Fifteen students participated in user testing, resulting in an average SUS score of 71.5, categorized as “Good” (Grade C). The findings indicate that the integration of gamification effectively improves learning engagement and interest in the Javanese script among elementary students. This educational game demonstrates potential as an interactive and enjoyable alternative learning medium, contributing to the preservation and revitalization of regional language through educational technology.
OpenWRT-Based Proxy Network with GSM Signal Integration using Network Development Life Cycle Method Nugroho, Rizki Slamet; Yuliansyah, Edy; Maulana, Muhammad Rizki
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 2 (2025): December
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i2.1648

Abstract

One of the most important discoveries in technological development is the internet. However, infrastructure availability and cost remain a barrier for some. For various needs, in certain circumstances, a cheap and fast connection is required. The purpose of this research is to assist PT Wisata Hutan Lestari, located in Cigobang Hamlet, Karang Tengah Village, Sentul, Bogor Regency, in improving the quality of its services by providing internet access using GSM signals and proxies. To obtain relevant data and results for this research, data collection methods such as literature review and interviews were used. Furthermore, during the implementation phase, the Network Development Life Cycle (NDLC) method was chosen to ensure the success of this month-long research. The study concluded that utilizing GSM signals with the implementation of OpenWRT demonstrated a high level of flexibility in network configuration adjustments and can be implemented in areas with minimal broadband internet access. Furthermore, the use of Trojan.go and vmess proxies on the OpenWRT network improved security and privacy when accessing the internet. Meanwhile, this study can provide several recommendations that can be implemented, such as using Mikrotik to manage bandwidth, adding router devices to expand network coverage, adding modems to increase internet speed, changing or adding to the overall network configuration.
Development of a Web-Based Accreditation System for Study Program Management using the Waterfall Model Taufiqurrahman; Junaedy; Syarifuddin, Rizal
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 2 (2025): December
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i2.1663

Abstract

At Universitas Islam Makassar, study program accreditation is still managed manually. This slows down the process, increases the workload, and makes errors more likely. This research introduces a web-based accreditation system designed to simplify document submission, verification, and assessment. The system was developed using the Waterfall model, moving through requirement analysis, design, implementation, testing, and maintenance. Three user roles were defined: administrator, head of study program, and assessor, each with tailored access and features. Functions include structured document uploads, real-time accreditation tracking, and role-based dashboards. The system was tested using black-box testing, and all key features worked as intended. Results show the system improves process speed, reduces manual work, and helps stakeholders manage accreditation more efficiently. Further features like video uploads and automated notifications are planned for future updates.
Optimizing Staple Food Distribution Efficiency using the Traveling Salesman Problem in Local Government Jufri, Moh; Nasrullah; Rodiyah, Asyatir
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 2 (2025): December
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i2.1679

Abstract

The equitable distribution of essential goods in Indonesia’s remote and archipelagic regions faces significant logistical challenges, primarily due to geographical complexity, limited transportation infrastructure, and unpredictable weather conditions. This study adopts the Travelling Salesman Problem (TSP) model to optimize inter-island aid distribution routes, with delivery locations modeled as a complete weighted graph. Inter-location distances are calculated using the Haversine formula based on actual geographical coordinates. The Path Cheapest Arc heuristic algorithm, implemented via Google OR-Tools, is employed to efficiently generate near-optimal routes. The optimization results show a reduction in travel distance by 22.7% (from 256.7 km to 198.4 km), accompanied by a decrease in estimated travel time from 10.27 hours to 7.94 hours, and a reduction in fuel consumption from 102.7 liters to 79.4 liters. These findings empirically demonstrate that TSP optimization can significantly reduce travel distance and distribution time in the context of maritime logistics. The integration of graph theory, optimization algorithms, and interactive route visualization not only enhances computational efficiency but also provides practical benefits for policymakers in the public sector. This methodological framework has the potential to be replicated for distribution scenarios in other remote regions, while also strengthening data-driven decision-making in governmental logistics planning.
A Human–AI Interaction Model for Improving Speaking Skills in EFL Learning using ChatGPT Zulianingrum, Ana; Manggolo, Noor Sahid Kusuma Hadi
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 2 (2025): December
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i2.1752

Abstract

This study investigates the role of ChatGPT in enhancing English as a Foreign Language (EFL) students' speaking skills. The primary aim is to explore whether integrating ChatGPT into language learning can effectively improve speaking proficiency. Using a controlled experimental design, participants were divided into treatment and control groups, with the treatment group utilizing ChatGPT for speaking practice. The results demonstrated significant improvements in speaking skills for the treatment group, with statistical analysis confirming the rejection of the null hypothesis. This study highlights the technical capabilities of ChatGPT in offering personalized, adaptive learning experiences, showcasing its potential in language education. The findings emphasize the importance of AI tools like ChatGPT in enhancing language learning outcomes. Furthermore, it calls for educator training to harness AI effectively in pedagogical strategies. Overall, the study affirms that ChatGPT is a powerful, accessible tool for improving speaking skills, offering scalable solutions in EFL education.
Web-Based Junior High School Student Attendance System with Face Recognition Feature using the Prototyping Method Kaesmetan, Yampi R; Rosid, Achmat; Fryonanda, Harfebi
Nusantara Journal of Artificial Intelligence and Information Systems Vol. 1 No. 2 (2025): December
Publisher : Faculty of Engineering and Computer Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/nuai.v1i2.1873

Abstract

Technology is increasingly developing and innovating rapidly. Among them is the use of technology in various fields, especially in education. Teachers and students at the school still carry out attendance activities manually, namely with a conventional system that requires data recording for each attendance on paper. This system is vulnerable to damage or loss of data because the attendance results there still use paper. The attendance system that utilizes face recognition technology is the system proposed for the formulation of the problem that will be used for the research. The development method of this research uses the Prototyping method which prioritizes speed and time efficiency so that it is very suitable for use considering the current needs for a system that requires speed and accuracy. The framework used in the development of the system is Codeigniter 4. The process of working on the system is system requirements analysis, display design, coding, and testing. The results of the study are to create a website-based attendance application at SMP Daarus Sa'adah by utilizing face recognition technology which is carried out by auto-detecting faces so that it can facilitate users in carrying out attendance activities accurately and quickly.

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