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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 524 Documents
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Sentiment Analysis of Public Opinion on Rupiah Redenomination Policy Using Support Vector Machine and SMOTE Haidar Aslam; Haikal Nurul Barki; Adhi Prasetyo Wibowo; Faqih Al Araf; Abdul Hamid Musawir; Fuad Nur Hasan
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.v5i2.1982

Abstract

The government’s planned rupiah redenomination has generated a substantial wave of public opinion across social media platforms. This study aims to analyze public sentiment by examining comments on YouTube and classifying them into two categories: positive and negative. The data are collected through web scraping conducted on December 21, 2025, using the keyword “rupiah redenomination.”Given the pronounced imbalance between negative and positive opinions, this study applies the Synthetic Minority Over-sampling Technique (SMOTE) to balance the class distribution within the training data. The research pipeline consists of text preprocessing, feature extraction using Term Frequency–Inverse Document Frequency (TF-IDF), and classification using a linear-kernel Support Vector Machine (SVM). Experimental results indicate that the SVM model achieves an accuracy of 88.28%. The application of SMOTE is shown to effectively enhance the model’s ability to identify the minority class, with the recall for positive sentiment reaching 0.71. Furthermore, the analysis reveals that public opinion is predominantly negative (83.93%), reflecting widespread concern regarding the potential economic implications of the policy.
Design of a Web-Based Letter Disposition Information System in the Population Control and Family Planning Sector of the Banyuwangi Regency Social Service Imroatin Nur Arifah; Navita Inka Ristiani; 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.v5i2.1987

Abstract

This research aims to design a web-based letter disposition information system for the Population Control and Family Planning Sector of the Banyuwangi Regency Social Service. Mail management which is still done manually causes various problems, such as delays in the disposition process, risk of data duplication, and difficulties in searching mail archives. To overcome this problem, this research uses field research methods supported by literature study as a theoretical basis. System development was carried out using the Software Development Life Cycle (SDLC) approach using a prototype model which includes communication stages, rapid planning, system modeling, prototype development, and system implementation. The system designed includes features for managing incoming mail, outgoing mail, digital disposition, and electronic archiving of letters. The design results show that this system is able to increase efficiency, accuracy and transparency in the letter administration process, and is expected to become the basis for system development in the next implementation stage.
Design and Build an Internship Information System at PT. Perkebunan Nusantara IV Regional I Medan Web Based Herman, Mutia; Muhammad Richie Hadiansah
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.v5i2.1995

Abstract

The administrative process for the internship program at PT Perkebunan Nusantara IV Regional I Medan is still carried out conventionally, starting from the registration stage to recording attendance and daily journals. This situation causes various problems such as input errors, delays in the verification process, and difficulties in monitoring the attendance and activities of interns. This study aims to design a web-based internship information system as a solution to improve data management efficiency and reduce existing administrative problems. The method used in this study follows the SDLC approach with the Waterfall model, which includes needs analysis, system design, implementation with Laravel and Tailwind CSS, and testing using the Black Box Testing method. The findings of this study indicate that the developed system can support online registration, location-based attendance, daily journal filling, and participant management by the admin more quickly, accurately, and integrated. Testing shows that all main functions operate according to the specified scenario. This system makes a significant contribution to supporting more efficient and up-to-date internship administration and has the potential for further development to improve the quality of internship services at related institutions.
Comparison of Machine Learning Classification Algorithm Performance for Depressive Symptom Recognition in College Students Arinda Aulia; Falah Affandi; Puan Syaharani Sitorus; Chairil Umri; Ferizal Fadli Tanjung; Mhd. Furqan
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.v5i2.1998

Abstract

College students are vulnerable to depressive symptoms due to academic, social, and personal pressures, which can impact mental health and academic achievement. Early detection is necessary to prevent this condition from developing into a more serious condition, but conventional methods often lack objectivity. With the development of artificial intelligence, machine learning classification algorithms offer a more accurate approach to recognizing patterns of depressive symptoms. This study compared the performance of several classification algorithms, namely Random Forest, K-Nearest Neighbor, Logistic Regression, Decision Tree, Naive Bayes, and Support Vector Machine, using a dataset of depressive symptoms in college students. Evaluation was carried out based on accuracy, precision, recall, and F1-score. The results showed that Logistic Regression achieved the best performance with an accuracy of 95.62%. This suggests that selecting the right algorithm can improve the effectiveness of early depression detection systems in college students and support data-driven mental health efforts.
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

Page 42 of 53 | Total Record : 524

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