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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Abdi Insani Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Intelligent Computing and Health Informatics (JICHI) Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Jurnal Pengabdian Masyarakat Waradin Jurnal Sains dan Ilmu Terapan Journal of Data Insights Journal of Computing and Smart Ecosystems
Al Amin, Muhammad Zainudin
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Journal : Journal of Computing and Smart Ecosystems

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From Text to Action: AI-Driven Classification of Public Service Complaints in Karanganyar, Indonesia Muhammad Zainudin Al Amin; Farel Imam Maulana; Riefandi Dwiki Surya Putra; Mohammad Nurul Huda
Journal of Computing and Smart Ecosystems Vol. 1 No. 1 (2025): J-CaSE
Publisher : S1 Teknologi Informasi, Universitas Muhammadiyah Semarang

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Efficiently classifying public complaints is crucial for fostering transparent and responsive governance in the digital age. However, the sheer volume and textual nature of complaint data pose significant challenges for manual categorization, particularly within local government systems. This study seeks to develop an automatic classification model for public complaints by employing Logistic Regression and TF-IDF vectorization. The dataset, comprising complaints submitted to the Karanganyar Regency Government from January to June 2025, underwent preprocessing through standard natural language techniques and was converted into numerical features using TF-IDF. Logistic Regression was chosen for its simplicity, interpretability, and effectiveness with sparse text data. To address class imbalance, class weighting and stratified sampling were utilized. The model achieved an overall accuracy of 61%, surpassing the Naive Bayes baseline. Confusion matrix analysis demonstrated strong performance in dominant categories, although minority classes continued to present challenges. The results suggest that Logistic Regression offers a practical and explainable solution for early-stage complaint classification systems, especially in public sector contexts. This study lays the foundation for the future development of intelligent e-government platforms capable of real-time complaint handling.
Enhancing Conceptual Understanding of the Solar System Through 3D Augmented Reality in Primary Education Eva Febyliana; Teuku Zaine Abror Attolok; Diaz Aditya; Raina Artika Ramadlonia; Taufik Ismail; Muhammad Zainudin Al Amin
Journal of Computing and Smart Ecosystems Vol. 1 No. 1 (2025): J-CaSE
Publisher : S1 Teknologi Informasi, Universitas Muhammadiyah Semarang

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The advancement of digital technologies has introduced new methods in science education, including the use of Augmented Reality (AR). Traditional astronomy instruction often relies on two-dimensional media, which limits students’ ability to visualize and interact with celestial phenomena. This paper presents EduPlanet, a 3D AR-based educational application designed to enhance students’ understanding of the solar system. The application allows users to explore planets interactively, visualize orbital movements, and access informative content in real time. Developed using Unity and Vuforia SDK, EduPlanet consists of three main modules: learning content, marker-based AR visualization, and a quiz system with instant feedback. Functional testing using the Black Box method confirmed that all features performed as intended. Informal usability testing with elementary school students showed high levels of engagement, particularly in the AR and quiz components. The findings suggest that EduPlanet offers an effective and accessible tool to support astronomy learning in primary education, with potential for broader application in digital science pedagogy.
Development Potential of AR Anatomy as an Interactive Learning Medium for Elementary Science Education Muhammad Fiqri Zulfikar; Nabila Ismawarni.Ka; Dyah Ayu Kusumaningtyas; Syahrul Ramadhon; Irba Ilzami Al Haq; Muhammad Zainudin Al Amin
Journal of Computing and Smart Ecosystems Vol. 1 No. 1 (2025): J-CaSE
Publisher : S1 Teknologi Informasi, Universitas Muhammadiyah Semarang

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In the era of the Industrial Revolution 4.0 and Society 5.0, education is expected to deliver adaptive, interactive, and contextual learning experiences. One of the main challenges in elementary science education lies in teaching abstract concepts such as human anatomy, where traditional textbooks and two-dimensional images often fail to support deep understanding. Augmented Reality (AR) offers a promising alternative by enabling the real-time visualization of three-dimensional (3D) models through mobile devices. This study explores the development and potential of “AR Anatomy,” a camera-based AR application designed to provide interactive visualizations of human organs for elementary students. Using a qualitative literature review of recent studies published after 2022, the analysis indicates that AR Anatomy can enhance student motivation, active engagement, and spatial understanding, while offering a cost-effective alternative to physical anatomical models. Nevertheless, limitations remain, including restricted organ coverage, lack of integrated evaluation features, and limited alignment with the national curriculum. In conclusion, AR Anatomy represents a promising step toward technology-enhanced science education at the elementary level, with further refinement needed to improve content coverage and classroom implementation.
Applying the UX Honeycomb Model to Evaluate User Satisfaction in the Maxim Application Auliya Rohman Riquelme Al Ubaidah; Eva Febyliana; Maulana Sihdi Habibie; Mustika Restu Nur Asri; Kilala Mahadewi; Nova Christina Sari; Muhammad Zainudin Al Amin
Journal of Computing and Smart Ecosystems Vol. 1 No. 2 (2025): J-CaSE
Publisher : S1 Teknologi Informasi, Universitas Muhammadiyah Semarang

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This study evaluates the user experience of the Maxim application using Peter Morville’s UX Honeycomb approach, encompassing seven dimensions: usability, desirability, findability, accessibility, credibility, value, and usefulness. A descriptive quantitative method was employed, with data collected through questionnaires from active users of the Maxim application. Data analysis was conducted using descriptive statistics. The results indicate a positive evaluation, particularly in usability (access speed, average score of 3.87). However, the payment process and overall comfort received lower scores, suggesting the need for improvement. These findings indicate that the Maxim application is generally effective, but improvements to specific features could enhance user satisfaction.
Co-Authors Achmad Solichan Aditya Putra Ramdani Auliya Rohman Riquelme Al Ubaidah Auliya Rohman Riquelme Al Ubaidah Basirudin Ansor DEWI RAHMAWATI Dhendra Marutho Diaz Aditya Diaz Aditya Dyah Ayu Kusumaningtyas Edy Winarno Eva Febyliana Fahri Fahri Farel Imam Maulana Febyliana, Eva Irba Ilzami Al Haq Karima Elsami Khaira, Mulil Kilala Mahadewi Kilala Mahadewi Linda Rosita Mahadewi, Kilala Maulana Sihdi Habibie Mohammad Nurul Huda Muhammad Fiqri Zulfikar Mulil Khaira Mustika Restu Nur Asri Nabila Ismawarni.Ka Naimatul Husna Nova Christina Sari Nova Christina Sari Puterizahra, Arviza Raina Artika Ramadlonia Riefandi Dwiki Surya Putra Sri Kusumadewi Syahrul Ramadhon Taufik Ismail Teuku Zaine Abror Attolok