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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.
Dynamic IoT–PID Control for Energy-Efficient Water Distribution: EPANET-Based Digital Twin Validation in Varied Geographical Terrains Kusuma, Bagus Adhi; Isnaini, Khairunnisak Nur; Hamdi, Aulia
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1188

Abstract

Topographical heterogeneity in water distribution networks frequently causes pressure imbalance, hydraulic inefficiency, and elevated energy consumption, particularly in regions with significant elevation gradients. This study aims to develop and validate a dynamic Internet of Things (IoT)-based pressure control model within a cyber–physical system framework for energy-efficient water distribution under varied geographical conditions. The primary contribution of this work lies in the separation of strategic and tactical control layers, where a Digital Twin based on EPANET dynamically generates optimal pressure setpoints, while distributed proportional–integral–derivative controllers execute real-time valve regulation at the network edge. The research adopts a Design Science Research methodology to design, implement, and evaluate a four-layer architecture consisting of physical sensing and actuation, long-range communication, tactical control, and strategic simulation layers. Validation is conducted using EPANET-based simulations across three control scenarios: a baseline condition without dynamic control, a static rule-based valve control scenario, and the proposed dynamic IoT–PID control scenario. The experimental procedure involves comparative analysis using control performance metrics including overshoot, settling time, steady-state error, and root mean square error. Simulation results demonstrate that the baseline configuration suffers from severe pressure imbalance and hydraulic backflow, while static rule-based control partially mitigates inefficiencies but fails to adapt to demand variability. In contrast, the proposed dynamic IoT–PID approach achieves precise pressure regulation with overshoot below 2% and tracking error maintained under 0.5 meters across all evaluated scenarios. These findings confirm that integrating a Digital Twin with real-time PID control significantly improves pressure stability and operational efficiency. The proposed architecture offers practical implications for smart water infrastructure in geographically diverse regions, providing a scalable foundation for adaptive pressure management, energy optimization, and future digital-twin-driven water distribution systems.
Peningkatan Efisiensi Distribusi Air Bersih melalui TirtaDesa: Digitalisasi PAMSIMAS untuk Desa Berkelanjutan Pramono, Agus; Hamdi, Aulia; Supriyana, Nana; Shafa Salsabila, Lulu; Fatnurivan, Ardika
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.
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.