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Sistem Deteksi Plat Nomor Kendaraan Pada Aplikasi Mobile Tiket Pariwisata Ilham Albana; Ecky Efansyah Sukoco; Akbar Fitrian; Anugerah Bagus Wijaya; Aulia Hamdi; Fiby Nur Afiana; Zanuar Rifai
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 8 No. 1 (2025): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v8i1.39259

Abstract

Vehicle license plate recognition plays a vital role in intelligent transportation systems, parking management, and digital ticketing. However, conventional license plate recognition systems often face challenges related to lighting variations, viewing angles, and character distortions, which can decrease accuracy and efficiency, especially on mobile devices. This study aims to implement an Optical Character Recognition (OCR) framework, specifically EasyOCR, in a mobile application designed to read vehicle license plates in real time. The system was developed using the Software Development Life Cycle (SDLC) methodology, which includes the stages of planning, analysis, design, implementation, and testing. The mobile application was built using Flutter, integrated with a smartphone camera for data input and EasyOCR for text extraction. The testing results demonstrate that the proposed system can accurately detect and recognize license plate characters with an average accuracy rate of 100%. The contribution of this study lies in the application of EasyOCR on mobile platforms through a structured SDLC approach, enhancing the practicality of OCR-based vehicle identification systems for real-world transportation and parking management applications.
Analisis Pola Konsumsi Air Menggunakan Algoritma Random Forest Classifier Pada Distribusi Air Bersih Desa Rempoah Baturraden Ngarifatul Khofiyah, Salma; Hamdi, Aulia; Nur Isnaini, Khairunnisak
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.3001

Abstract

Clean water is a basic necessity for communities that must be managed efficiently to ensure its distribution remains equitable and sustainable. In Rempoah Village, water usage is still recorded manually, making it difficult to analyze consumption patterns and detect irregular usage. This study aims to analyze water consumption patterns using the Random Forest Classifier algorithm as an effort to support clean water distribution management by the Berkah Maju Bersama Village-Owned Enterprise (BUMDes). The research data was obtained through observation and interviews with the management, followed by a data preprocessing stage that included data cleaning, missing value handling, data exploration, label encoding, and data division into training and test data. The Random Forest model was used to classify water consumption patterns into three categories, namely economical, normal, and wasteful. The results showed that the model was able to classify the data with an accuracy rate of 100%, where all test data was correctly identified. Based on the analysis results, most customers were in the wasteful category at 56.2%, indicating the need for an evaluation of the efficiency of household water use. These findings prove that the application of machine learning methods can be an effective solution in supporting decision-making and clean water management at the village level in a sustainable manner.
The Influence of Double Jobbing Supra and Political Infrastructure on the Search for Sympathizers in the Election Hamdi, Aulia; Syahroni, Dwi
International Journal on Advanced Science, Education, and Religion Vol 7 No 4 (2024): IJoASER (International Journal on Advanced Science, Education)
Publisher : Sekolah Tinggi Agama Islam Al-Furqan, Makassar - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33648/ijoaser.v7i4.745

Abstract

This study aims to analyze the influence of Double Jobbing superstructure and political infrastructure in finding sympathizers in the general election. Double Jobbing, which doubles as a role in various power structures, has great potential to influence political dynamics, particularly in terms of mobilizing sympathizers and mobilizing support. Political superstructure refers to formal institutions, such as the executive, legislature, and political parties, while political infrastructure includes non-formal organizations, such as civil society groups and social networks. This study uses a library research method using a conceptual approach and a case approach, with these methods to explore how it influences both structurally and operationally and the long-term impact of democracy. The results of this study show that the existence of Double Jobbing can increase the effectiveness of sympathetic mobilization, but also has the potential to create conflicts of interest and the emergence of oligarchs. Thus, the influence of Double Jobbing in the political superstructure and infrastructure plays an important role in the process of finding sympathizers, but it is necessary to study the impact on democracy and electoral integrity.
Designing the Foundation of a Multi-Tenant and Surrogate Key-Based Nusa Praja Village Government System on the Nusa Eka Platform Sri Rahayu; Aulia Hamdi; Lina Nur Afifah; Aulia Suryaning Tyas; Rizki Cahya Putri; Mayza Nurul Khasanatun Nisa; Intan Nur Sifa; Purnia Setiawati
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2371

Abstract

Village government administration in Indonesia is still largely manual, resulting in service inefficiencies and the potential loss of sensitive population data. The purpose of this research is to create the architectural foundation of a village government information system called NUSA PRAJA, which is part of the NUSAEKA multi-tenant Software as a Service (SaaS) platform. This research applies the Multi-Tenant Isolation concept to ensure data security and separation between villages, as well as the Surrogate Key concept to protect residents' National Identification Number (NIK) data from leaks. The research method used is Waterfall with the stages of requirements analysis, system architecture design, and database design. The results of the research are a multi-tenant system architecture design based on a shared database with tenant_id filters, an Entity Relationship Diagram (ERD) design with 14 main tables, and a flowchart design for three user roles. This project is expected to be a strong foundation for building a secure, scalable, and easy-to-use digital village system for village governments throughout Indonesia.
Development of an ADDIE-Based 2D Animation Learning Video to Enhance Elementary School Students’ Understanding of Plane Geometry Septi Fajarwati; Desty Rakhmaawati; Dhimas Prakoso Aji; Aulia Hamdi
Jurnal Pendidikan Edutama Vol 13 No 2 (2026): July 2026
Publisher : IKIP PGRI Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30734/jpe.v13i2.5369

Abstract

This study aimed to develop and evaluate the effectiveness of a 2D animation-based learning video on plane geometry using the ADDIE model. The research employed a Research and Development (R&D) method consisting of five stages: Analysis, Design, Development, Implementation, and Evaluation. The study involved 59 fourth-grade students at SDN Gunungsimping 01 Cilacap. Data were collected through observations, interviews, documentation, and pre-test and post-test instruments. The learning media was developed using Adobe Illustrator and Adobe After Effects to present plane geometry concepts in a more interactive and visually engaging form. The effectiveness of the media was analyzed using the N-Gain formula. The results showed that the average score of class 4A increased from 49 to 70.1, while class 4B increased from 20.7 to 48.2. The N-Gain analysis indicated moderate effectiveness, with scores of 0.414 for class 4A, 0.347 for class 4B, and an overall score of 0.374. These findings demonstrate that the developed 2D animation-based learning video effectively improved students’ understanding of plane geometry concepts.
Peningkatan Efisiensi Distribusi Air Bersih melalui TirtaDesa: Digitalisasi PAMSIMAS untuk Desa Berkelanjutan Agus Pramono; Aulia Hamdi; Nana Supriyana; Lulu Shafa Salsabila; Ardika Fatnurivan
Aksiologiya: Jurnal Pengabdian Kepada Masyarakat Vol 10 No 1 (2026): Februari
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/aks.v10i1.28355

Abstract

Tata kelola air bersih di BUMDes Berkah Maju Bersama Desa Rempoah menghadapi kendala inefisiensi operasional akibat sistem administrasi manual yang menyebabkan lambatnya proses penagihan dan kerentanan data. Kegiatan pengabdian kepada masyarakat ini bertujuan mengimplementasikan transformasi digital melalui penerapan sistem Tirta Desa guna meningkatkan akurasi data, efisiensi waktu, dan kompetensi pengelola. Metode pelaksanaan dilakukan selama empat bulan dengan pendekatan partisipatif yang mencakup tahapan sosialisasi, konfigurasi perangkat lunak, migrasi data pelanggan, pelatihan intensif bagi petugas, serta pendampingan teknis berkelanjutan. Hasil kegiatan menunjukkan keberhasilan migrasi 542 data pelanggan ke dalam sistem digital tanpa kehilangan informasi. Secara kuantitatif, implementasi sistem terbukti memangkas waktu pemrosesan tagihan bulanan secara signifikan dari sembilan jam menjadi 1,5 jam, serta meningkatkan kompetensi enam petugas operasional dengan kenaikan skor evaluasi dari 57,4 menjadi 82,1. Selain itu, tersedianya dashboard berbasis web dan integrasi kode QRCode telah mempermudah pemantauan transaksi secara transparan. Dapat disimpulkan bahwa digitalisasi tata kelola air merupakan solusi efektif untuk optimalisasi layanan BUMDes, di mana keberlanjutan program didukung oleh penyusunan standar operasional prosedur dan rencana pengembangan fitur sinkronisasi data luring.
Perancangan Early Warning System Banjir Berbasis Internet of Things Menggunakan ESP32 dan Sensor Ganda Zidni Luqiyani; Aulia Hamdi; Darso
Jurnal Minfo Polgan Vol. 15 No. 3 (2026): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v15i3.16683

Abstract

Penelitian ini bertujuan merancang dan membangun prototype Early Warning System (EWS) banjir berbasis Internet of Things (IoT) menggunakan ESP32, sensor ultrasonik HC-SR04, dan Water Level Sensor sebagai sistem peringatan dini yang mampu memberikan informasi kondisi ketinggian air secara real-time. Penelitian dilakukan karena proses pemantauan ketinggian air yang masih dilakukan secara manual sering menyebabkan keterlambatan penyampaian informasi saat terjadi potensi banjir, sehingga risiko kerugian dapat meningkat. Metode yang digunakan adalah Prototype, yang meliputi tahapan identifikasi masalah, analisis kebutuhan, perancangan prototype, implementasi, pengujian sistem, dan evaluasi. Sensor ultrasonik digunakan untuk mengukur jarak permukaan air, sedangkan Water Level Sensor berfungsi sebagai sensor validasi keberadaan air guna mengurangi kemungkinan false alarm. Data hasil pembacaan sensor diproses oleh ESP32 untuk menentukan status Normal, Siaga, dan Bahaya. Selanjutnya sistem mengaktifkan indikator LED, buzzer, serta mengirimkan notifikasi melalui aplikasi Telegram menggunakan jaringan Wi-Fi. Hasil pengujian menunjukkan sensor ultrasonik memiliki rata-rata persentase error sebesar 1,47%, sedangkan Water Level Sensor mampu membedakan kondisi kering dan basah dengan baik sebagai sensor validasi. Pengujian Black Box menunjukkan seluruh fungsi sistem berjalan sesuai rancangan. Berdasarkan hasil tersebut, prototype yang dikembangkan berhasil memberikan informasi kondisi ketinggian air secara real-time, meningkatkan keandalan deteksi banjir, serta berpotensi mendukung mitigasi bencana melalui penyampaian peringatan dini yang lebih cepat, akurat, dan mudah diakses oleh masyarakat.
Design of a Multi-Tenant Waste Management System with Volume Estimation and Vehicle Trip Optimazation Intan Nur Sifa; Aulia Hamdi; Purnia Setiawati; Aulia Suryaning Tyas; Rizki Cahya Putri; Mayza Nurul Khasanatun Nisa; Sri Rahayu; Lina Nur Afifah
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 3 (2026): June 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i3.2327

Abstract

Waste management at the village level still faces a number of challenges, such as unstructured waste volume recording, suboptimal collection scheduling, and a lack of transparency in cost management. This study aims to design a multi-user waste management system equipped with a volume estimation model and vehicle route optimization. The approach applied includes a literature review to analyze system requirements, followed by design using flowcharts, Data Flow Diagrams (DFDs), and Entity-Relationship Diagrams (ERDs). The research findings indicate that the developed system successfully integrates the management of waste source data, transportation processes, and cost calculations in a structured manner. The volume estimation model is used to estimate the amount of waste in the field, while route optimization determines the number of vehicle trips based on their carrying capacity. Additionally, the multi-tenant concept allows this system to be used by various regions simultaneously while ensuring data separation. Therefore, this system is expected to improve operational efficiency, management transparency, and the quality of waste transportation services.