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PENGEMBANGAN SISTEM INFORMASI PENERIMAAN SISWA BARU BERBASIS WEB DI SMP N 3 SAMIGALUH Nurrokhim, Urfan; Elsera Astrianty, Ledy
Jurnal Simantec Vol 13, No 1 (2024): Jurnal Simantec Desember 2024
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v13i1.27720

Abstract

A web-based student admission information system is designed to address issues in the new student admission process at SMP N 3 Samigaluh, transforming the manual registration process into an integrated digital system. The research methods include data collection, needs analysis, system design, implementation, and system testing. The collected data is processed to determine the appropriate system requirements for a web-based admission system at SMP N 3 Samigaluh. The results of this research on the web-based student admission information system at SMP N 3 Samigaluh show that the system is designed to address various issues in the new student admission process. Through this system's development, the school can manage applicant data more effectively and conduct the selection process more transparently, which can enhance public trust in the school. The testing process in this research involves User Acceptance Testing (UAT) with prospective students and the SMP N 3 Samigaluh administration by running scenarios during the UAT. The testing results show that the web-based admission system is expected to bring significant benefits in terms of time efficiency, accuracy, and ease of information access, as well as improve the quality of the school's administrative services as a whole. Implementation results indicate a significant increase in operational efficiency, with automation features that reduce human error and improve data processing accuracy. This system successfully addresses information access and data management challenges, providing a comprehensive solution for the new student admission process.Keywords: Information System, New Student Admission, Website, SMP N 3 Samigaluh
Pengembangan Aplikasi Pemetaan Lahan Berbasis Mobile Menggunakan Geographic Information System (Gis) Bagus Ardi Pratama; Ledy Elsera Astrianty
JSAI (Journal Scientific and Applied Informatics) Vol 7 No 3 (2024): November
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v7i3.7305

Abstract

Geographic Information Systems (GIS) play an important role in the development of mobile-based land mapping applications in Rembang Sub-district. This research aims to assist farmers in filing documents related to farmer data and land geospatial data, supporting more effective and integrated land management. This application is designed to improve the efficiency and accuracy of land mapping and facilitate farmers in managing their farms digitally. The method used in this research is the waterfall method, which involves observations and interviews with farmers as the main users to ensure the application fits the field needs and land conditions. Geospatial data collection is done with GIS technology to reduce data entry errors that often occur in manual methods. Implementation was done with PHP Native & Kotlin programming language, using Visual Studio & Android Studio Code development tools and MySQL for database. Testing was carried out using the User Acceptance Testing (UAT), with the UAT results reaching a satisfaction level of 88.75%. The app enables more effective data management, including geospatial information and relevant farmer data for sustainable farmland monitoring. Research shows that the app improves the efficiency of land mapping and strengthens farmers' capacity to adopt modern technology.
Development of Mobile Augmented Reality-Based Boarding House Search Application Pamungkas, Awanda Bintang; Astrianty, Ledy Elsera
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 3 No. 4 (2024): Vol. 3 No. 4 2024
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v3i4.592

Abstract

This research focuses on developing a mobile application for boarding house search utilizing Augmented Reality (AR) technology. The application integrates AR features to provide an interactive and immersive experience, enabling users to visualize boarding houses in 3D and explore detailed information in real time. The ADDIE model was adopted as the development framework, encompassing Analysis, Design, Development, Implementation, and Evaluation phases. The application features include a 360-degree view, GPS navigation, real-time updates, and an intuitive user interface to enhance the boarding house search process. Black box testing results indicate that the system performs efficiently across key functionalities such as registration, login, navigation, and booking. The findings demonstrate the potential of AR technology to address challenges in property search, offering innovative solutions for both users and property owners. This study contributes to the advancement of AR-based applications in the housing sector, emphasizing their role in improving user satisfaction and decision-making.
Empowering Digital Parenting through Web-Based Admission System and Technology Literacy Training for Families in Early Childhood Education Kalifia, Anna Dina; Astrianty, Ledy Elsera; Sanjaya, Fadil Indra; Pramudwiatmoko, Arif
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2025): April 2025
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v2i1.218

Abstract

This community service program was conducted to address two main problems identified at TK Pamardisiswi Muja Muju, Yogyakarta: the limited digital literacy among parents in guiding their children’s use of technology, and the absence of an accessible web-based student registration system. The program was implemented through an educational and technological approach, including observation, interviews, system development, training, and evaluation. The developed information system simplified the administrative process and expanded access to educational information. The training provided not only improved participants’ technical skills in operating the system but also enhanced their understanding of digital parenting. Evaluation results indicated a significant increase in participants’ abilities: login (35% to 92%), online form completion (28% to 89%), document upload (25% to 86%), understanding of digital content risks (19% to 81%), and awareness of parental roles in guiding children in the digital environment (30% to 90%). This program contributed to strengthening family digital literacy and advancing educational digitalization in early childhood settings.
Sistem Prediksi Kualitas Udara Menggunakan Algoritma Long Short-Term Memory (LSTM) Wicaksono, Muhammad Zaki; Astrianty, Ledy Elsera
TIN: Terapan Informatika Nusantara Vol 6 No 7 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i7.8619

Abstract

Conventional and static air quality monitoring in Yogyakarta City which only presents historical (past) data reports hinders proactive mitigation efforts against air pollution. This research aims to develop an air quality prediction system using the Long Short-Term Memory (LSTM) algorithm, a deep learning method superior for time-series data analysis. The system utilizes historical data from the Yogyakarta City Environmental Agency (DLH) from 2022 to 2024, covering pollutant parameters such as PM10, PM2.5, SO₂, CO, O₃, and NO₂. The primary prediction focus is the AQI (Air Quality Index) value, calculated based on the concentration of these pollutant parameters. The research method includes data preprocessing, such as handling missing data with interpolation, designing a two-layer LSTM model architecture, model training, and performance evaluation using Mean Absolute Error (MAE) and Mean Absolute Deviation (MAD) metrics. The results show that the developed LSTM model successfully provides predictions with good performance, where the combined average MAE value (4.85) is significantly lower than the average MAD of the actual data (10.19), indicating that the model's prediction error is smaller than the natural variability of the data. The output of this research is a prototype application with a graphical user interface (GUI) capable of displaying air quality predictions for the next day, identifying critical pollutant components, and presenting air quality condition classifications informatively.
Applying Convolutional Neural Networks for Real-Time Recognition of Indonesian Traditional Foods Adiyasa, Ananta Rizqi; Astrianty, Ledy Elsera
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 4 No. 4 (2025): Vol. 4 No. 4 2025
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v4i4.976

Abstract

This study aims to develop an image-based recognition system for Indonesian traditional foods to support the preservation of Nusantara culinary heritage in the digital era using the Convolutional Neural Network (CNN) method. This research was conducted due to the very limited number of studies specifically focused on classifying Indonesian regional traditional foods. Using a transfer learning approach, the pre-trained ResNet50 model was employed as the main architecture, with fine-tuning applied to the final layers to adapt the classification to 13 categories of Indonesian traditional foods. The dataset consisted of 1,300 images that underwent preprocessing and data augmentation to enhance the model’s generalization performance. Evaluation results show that the model achieved an accuracy of 81%, with precision, recall, and F1-score values indicating strong classification performance across most classes. The model was integrated into a user interface system to support real-time image prediction. System testing demonstrated fast response capabilities and high prediction confidence. Overall, this study confirms that CNNs with transfer learning can serve as an effective solution for recognizing Indonesian traditional foods and hold potential for further development as an educational medium and a tool for promoting local culinary culture.
ANALISIS PERFORMA EFFICIENTNET-B0 PADA KLASIFIKASI VARIETAS BUAH TROPIS BERDASARKAN FITUR MORFOLOGI CITRA Muhammad Raihan; Ledy Elsera Astrianty
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 3 (2026): JATI Vol. 10 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i3.18838

Abstract

Penelitian ini bertujuan untuk menganalisis performa model Convolutional Neural Network (CNN) menggunakan arsitektur EfficientNet-B0 dalam klasifikasi citra buah tropis berdasarkan karakteristik morfologi. Permasalahan dalam penelitian ini adalah proses identifikasi buah yang masih dilakukan secara manual sehingga kurang efisien dan rentan terhadap kesalahan. Untuk mengatasi permasalahan tersebut, penelitian ini mengusulkan pendekatan berbasis deep learning dengan memanfaatkan metode CNN untuk mengekstraksi fitur visual citra secara otomatis, seperti warna, bentuk, dan tekstur buah. Dataset citra buah diperoleh dari sumber open access dan melalui tahap preprocessing yang meliputi resizing, normalisasi, dan augmentasi data guna meningkatkan kualitas pelatihan model. Selain itu, penelitian ini menerapkan pendekatan hierarchical classification untuk meningkatkan kemampuan model dalam melakukan klasifikasi secara bertahap. Proses evaluasi dilakukan menggunakan metrik accuracy, precision, recall, dan F1-score. Hasil penelitian menunjukkan bahwa model EfficientNet-B0 mampu mencapai akurasi tertinggi sebesar 99,69% pada skenario dataset terbesar dengan tingkat kesalahan yang sangat rendah. Berdasarkan hasil tersebut, model yang dikembangkan terbukti mampu meningkatkan efisiensi dan konsistensi dalam proses klasifikasi buah, sehingga berpotensi untuk diterapkan pada bidang pertanian dan industri pangan.
Pengembangan Sistem Informasi Layanan Masyarakat Berbasis Web Mobile Menggunakan Metode Waterfall Nawang Padjar Pancarro; Ledy Elsera Astrianty
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.852

Abstract

Public services in Padukuhan V Tirtonirmolo, Kasihan, Bantul have so far been carried out manually through a WhatsApp group, resulting in ineffective processes for handling complaints, disseminating activity information, and managing inventory and domicile letters, as well as poor structure and documentation. This study aims to design and develop a web-mobile–based community service information system capable of integrating all administrative processes in the padukuhan digitally, quickly, accurately, and transparently. The research methods used include field observations, interviews with local officials, literature studies, and needs analysis to ensure that the system aligns with user context. The system development follows the Waterfall method through the stages of analysis, design, implementation, testing, and maintenance. The community application was built using Flutter, while the admin dashboard was developed using React.js, supported by a Node.js backend and a MySQL database. Testing was carried out using Black Box Testing across 14 test scenarios, all of which produced outputs that met the expected results. Additionally, non-functional testing using the System Usability Scale (SUS) with 10 respondents produced an average score of 84.5, categorized as Good to Excellent, indicating that the system is easy to use and provides a positive user experience. Based on these results, the information system effectively replaces manual processes with an integrated digital service that improves efficiency, quality, and accessibility of public services in Padukuhan V Tirtonirmolo.
Pengembangan Sistem Informasi Akademik Terintegrasi Berbasis Web Mobile Pada Lembaga Pendidikan Menengah Atas Sandy Maulana Rifqi; Ledy Elsera Astrianty
Bulletin of Computer Science Research Vol. 6 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i4.1136

Abstract

Academic information dissemination at Senior High School has been carried out conventionally, often resulting in delays in providing attendance, class schedules, and grade reports to students and parents. The limitation of non-real-time information access impacts the lack of parental supervision regarding student discipline and academic progress. This research aims to design and build a web and mobile-based Academic Information System capable of integrating school data management digitally, quickly, and accurately. The system development method used is the Waterfall method, including requirement analysis, system design, implementation, testing, and maintenance. The system was developed using the Laravel framework for the web-based admin dashboard and the Flutter framework for the mobile application for students and parents, supported by a MySql database. This research provides a scientific contribution in the form of a cross-platform integration architecture (dual-framework) connected via RESTful API to overcome data communication asymmetry in educational institutions. This cross-platform integration is implemented to facilitate administrators' needs in large master data management while providing enhanced accessibility for mobile users. Functional testing using the Black Box Testing method showed that all main features operate as expected, and User Acceptance Testing (UAT) resulted in an average score of 86.0%, falling into the "Very Good" category. The results of this study indicate that this integrated information system is effective in facilitating access to academic information transparently and improving administrative efficiency in educational institutions.
PENGEMBANGAN SISTEM MANAJEMEN KEGIATAN MAHASISWA MAGANG BERBASIS WEB MOBILE DI DINAS PENDIDIKAN MELAWI Yohan Christazel Jeffry; Ledy Elsera Astrianty
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 6 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/dfs3cm43

Abstract

Penelitian ini merancang sistem manajemen kegiatan magang berbasis web mobile untuk Dinas Pendidikan Kabupaten Melawi guna menggantikan prosedur manual yang kerap menunda umpan balik dan menurunkan akurasi data. Antarmuka web dibangun dengan Next.js dan aplikasi mobile dengan Flutter, keduanya terhubung ke RESTful API (Node.js/Express) dan MongoDB. Fitur inti mencakup autentikasi berbasis peran, presensi berlokasi GPS (geofencing/radius), unggah laporan harian, penilaian serta umpan balik pembimbing, dan dashboard ringkas waktu-nyata. Pengembangan mengikuti tahapan analisis, perancangan, implementasi, dan uji pada Februari–Juni 2025. Verifikasi fungsional dilakukan melalui pengujian black-box pada seluruh modul. Hasil menunjukkan setiap fitur berjalan sesuai spesifikasi, respons antarmuka cepat, dan konsistensi data terjaga sehingga memudahkan monitoring. Secara keseluruhan, solusi ini meningkatkan efisiensi administrasi, ketepatan pencatatan, serta transparansi evaluasi pembimbingan. Kata Kunci: Manajemen magang; presensi GPS; Next.js; Flutter; pengujian black-box