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Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Published by Yayasan Kita Menulis
ISSN : -     EISSN : 28084519     DOI : https://doi.org/10.53842/jaiea.v1i1
Core Subject : Science, Engineering,
Automotive Engineering Computer Science & IT Control & Systems Engineering
The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering applications, mechatronic engineering, medical engineering, chemical engineering, civil engineering, industrial engineering, energy engineering, manufacturing engineering, mechanical engineering, applied sciences, AI and Human Sciences, AI and education, AI and robotics, automated reasoning and inference, case-based reasoning, computer vision, constraint processing, heuristic search, machine learning, multi-agent systems, and natural language processing. Publications in this journal produce reports that can solve problems based on intelligence, which can be proven to be more effective.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 430 Documents
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Desain User Interface ‘Disaster Spatial Learning Global Partnership’ Lauw, Aaron Christoperus Prayogo; Susilowati, Meme; Handoyo, Budi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2001

Abstract

This article presents the design of the User Interface (UI) for the DSL Global Partnership (DSLGP) system, a Web-GIS–based educational platform developed to support disaster literacy and digital learning. The study focuses on translating the Software Requirements Specification into structured UI components, including the Home page, role-based dashboards, and key transactional workflows such as guest registration, assessment distribution, resource validation, and data import operations. The UI is designed using a user-centered approach, emphasizing clarity, accessibility, and role separation to ensure intuitive navigation for research teams, teachers, students, administrators, and public users. This work provides a concise and systematic overview of the UI structure that can guide subsequent implementation and evaluation stages within the DSLGP development cycle.
An Agent-Based Modeling Approach for Crowd Movement in Confined Spaces Anggraini, Delia; Khairani, Rika; Pangestu, Dimas
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2006

Abstract

This study presents an agent-based modeling approach to analyze crowd movement and evacuation performance in confined spaces. The model simulates individual agents navigating toward a single exit while avoiding collisions under varying density conditions. Three evacuation scenarios were evaluated, consisting of 20, 40, and 60 agents within a confined environment measuring 10 × 8 meters. The simulation was executed using a discrete time step of 0.1 seconds, and performance was assessed based on evacuation time and collision frequency. The results indicate that increasing crowd density significantly affects movement efficiency. The 20-agent scenario achieved an average evacuation time of 6.42 seconds with 95.33 collision events. When the number of agents increased to 40, the evacuation time rose to 6.90 seconds with 391.77 collisions. The highest density scenario, consisting of 60 agents, produced an average evacuation time of 7.08 seconds and 890.73 collision events. These findings demonstrate that higher density levels lead to a disproportionate increase in interaction intensity and congestion, resulting in reduced evacuation efficiency. The study confirms that agent-based modeling is an effective approach for analyzing crowd dynamics in confined environments and provides a reproducible framework for evaluating evacuation performance under varying density conditions.
Design of a Server Application for Web-Based Automation of Darul Qur'an Student Registration Maryam, Ridha Dewi; Qurratul Aini; Tsamratul Jannah; A. Hamdani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2007

Abstract

Study This discuss design server aplication for help automation of the registration process students at Darul Qur’an through a web-based platform. The systemThis developed for increase speed procesissing, accuracy record keeping and neatness previous data management handled manually. Stages study covering requirements analysis, system architecture design, and implementation using web technology. The design result show that the aplication is capable of handling registration in a structured manner, storing data centrally, and offering an easy-to-use interface. This system is expected to improve administrative efficiency and serve as a basis for developing additional features in the next phase.
Design and Development of a Hybrid E-Portfolio Application for Islamic Boarding School Students Ummi Fadlilatus Zakiyah; Mukarroma, Sofiatun; Amelia Ikmatus Zahro; Ahmad Hamdani
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2010

Abstract

The development of information and communication technology has encouraged educational institutions, including Islamic boarding schools (pesantren), to adopt digital systems for academic management and documentation. One important requirement in pesantren environments is the management of student portfolios that record academic achievements, religious activities, organizational involvement, and community service. However, limited internet access, digital device usage policies, and uneven technological infrastructure hinder the effective implementation of fully online e-portfolio systems. This study aims to design and develop a Hybrid E-Portfolio Application for pesantren students that can be utilized in both offline and online modes. The system was developed using the System Development Life Cycle (SDLC) with a Prototype model, which includes requirement analysis, initial design, prototype development, and user evaluation. The results indicate that the developed system is capable of supporting structured recording, management, and storage of student portfolios, as well as enabling data synchronization when an internet connection is available. The proposed hybrid e-portfolio application provides an adaptive solution to documentation challenges in pesantren environments and supports sustainable digital transformation in pesantren-based education.
Analysis of user experience with TikTok Shop features among Generation Z in Balikpapan Safitri, Sanrina Aprilia; Ar Rifana, Nabila Auliya; Servanda, Yustian; Fatma, Febrina
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2015

Abstract

This study was conducted to determine the usability level of TikTok Shop features among Generation Z in Balikpapan. The main focus of this study was how easy these features were to use for the user experience when shopping on the TikTok Shop application. The method used was a quantitative approach using the System Usability Scale (SUS) instrument. Data was collected by distributing questionnaires to 27 respondents who were Generation Z aged 13 to 28 years old residing in Balikpapan. The SUS questionnaire consisted of 10 questions using a Likert scale of 1 to 5, which were then processed to obtain a usability score. The results of data processing showed that the total SUS score obtained was 2,230 with an average value of 82.59. This value indicates that the TikTok Shop feature has a high level of usability. In general, respondents felt that the interface was easy to understand, supported shopping activities, and was in line with Generation Z's social media usage habits. Based on these results, the researcher concluded that the TikTok Shop feature was well-designed and provided a positive experience for Generation Z in Balikpapan.
Workforce Requirement Analysis Using Workload Analysis with a Full-Time Equivalent (FTE) Approach in the Planning & Control Division of PT PLN (Persero) Pusharlis UP2W VI Anditta Aurellia Avisa; Moch Tutuk Safirin
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2016

Abstract

This research was conducted at PT PLN (Persero) Pusharlis Unit Pelaksana Pemeliharaan Wilayah VI (UP2W VI), focusing on the Planning and Control Division. This study aims to analyze the suitability between workload and the number of employees and to determine the ideal workforce requirement to improve operational effectiveness. The method applied is workload analysis using the Full Time Equivalent (FTE) approach through the calculation of task completion time and annual effective working hours. The results indicate differences in workload levels among teams, where some teams experience overload conditions, while others operate under near-optimal workload conditions. The application of the Full Time Equivalent (FTE) method provides a quantitative overview of actual workload conditions and serves as a basis for determining and adjusting optimal workforce formation to support work efficiency in the Planning and Control Division of PT PLN (Persero) Pusharlis UP2W VI
Cyber Threat Analysis to Personal Data in the Digital Era A. Hamdani; Bilqis Sofia; Farah Salsabilla Aulia Rahmah; Ika Ariyanti
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2017

Abstract

The development of information technology provides convenience in daily life, but at the same time increases the risk of cyber threats to users' personal data. This study aims to analyze the level of user vulnerability to digital threats and the factors that influence personal data security, including the role of digital literacy and user behavior. The method used is descriptive qualitative, collecting data through a literature review, structured observation of digital device usage patterns, and semi-structured interviews with a number of selected users. The results show that weak password management practices, the tendency to share personal information, and low awareness of suspicious links or applications are the main causes of data vulnerability. The level of attention to vulnerability evaluation, security awareness, and security audits remains low, even though users are aware of potential threats. These findings confirm that digital literacy and user behavior play a crucial role in reducing risks. Therefore, improving cybersecurity education, implementing safe digital practices, and conducting regular security audits and evaluations are necessary to effectively protect personal data and build a safer digital culture.
Development of an Absence System using IoT Technology Based on Radio Frequency Identification (RFID) Hutagalung, Nur Aini
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2199

Abstract

SMK Negeri 1 Rambang Niru has implemented an online attendance system, but it still faces challenges related to reliability, accuracy, and efficiency, as the system is not based on Internet of Things (IoT) technology. This research aims to develop an automated attendance system utilizing IoT technology based on Radio Frequency Identification (RFID) to improve the effectiveness and efficiency of attendance tracking. The system uses RFID tags assigned to teachers and administrative staff , which are scanned by an RFID reader connected to a microcontroller. Once detected, the attendance data is immediately transmitted to a centralized server via an IoT communication module. The approach involves integrating RFID hardware with IoT infrastructure, as well as developing software for database management and user interface. The system was tested in the SMK Negeri 1 Rambang Niru work environment to evaluate scanning accuracy, response time, and data consistency. The results show that the RFID-based attendance system provides high reliability, fast data processing, and minimizes errors. This implementation demonstrates the potential to replace the existing online attendance system, enhancing data integrity and providing an efficient solution in modern workplace environments.
Design of a Website-Based Climbing Equipment Registration and Rental Information System Using the Waterfall Method Efendi, Tessa Inriani; Harlinda L; Amaliah Faradibah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2213

Abstract

This research was motivated by the manual registration and equipment rental process at Lembah Lohe, Gowa Regency, which led to data recording errors, data loss risks, and low administrative efficiency. The objective of this study was to design a web-based hiking registration and equipment rental information system to improve data management effectiveness. The research applied the Waterfall method consisting of requirement analysis, system design, implementation, testing, and maintenance stages. The system was developed using PHP and MySQL and tested using Black Box Testing (Alpha and Beta). The results showed that all system functions operated according to specifications, and Beta testing produced an average index score of 82.40%, categorized as Very Good. Therefore, the developed system improves efficiency, accuracy, and accessibility of information for both hikers and administrators.
Comparison of TF-IDF and Word2Vec Feature Representations for Emotion Classification of Tokopedia E-Commerce Review Using LinearSVC Azzahra, Fitriyani; Irawan, Bambang; Faqih, Ahmad; Pratama, Denni; Kurnia, Dian Ade
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.2215

Abstract

This study aims to compare the performance of TF-IDF and Word2Vec feature representations for emotion classification of Tokopedia e-commerce reviews using the LinearSVC algorithm. The dataset used is PRDECT-ID, which consists of 5,400 Indonesian-language reviews labeled with positive and negative emotions. The preprocessing stages include case folding, non-alphabet character cleaning, slang normalization, stopword removal, Sastrawi stemming, and emoji handling. Feature extraction was performed using TF-IDF and Word2Vec, after which the models were trained using LinearSVC and evaluated through 5-Fold Cross Validation and holdout testing. The experimental results show that TF-IDF achieves better performance, with an accuracy of 0.65, a macro-F1 score of 0.645, and a Cohen’s Kappa value of 0.294. Meanwhile, Word2Vec attains an accuracy of 0.58 and a macro-F1 score of 0.540. These findings indicate that TF-IDF is more effective for short and informal texts characteristic of Indonesian e-commerce reviews.

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