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All Journal SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Fakultas Teknik UNISA Kuningan JURNAL PENGABDIAN KEPADA MASYARAKAT UNISA KUNINGAN JURTIK: Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Neng Sri Lathifah Zulfa
Universitas Islam Al Ihya Kuningan
Religion Humanities Computer Science & IT Control & Systems Engineering Education Energy Engineering Social Sciences Other

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Deteksi Kepadatan Kendaraan Roda Empat di Jalan Raya Berbasis Wilayah Menggunakan Euclidean Distance Neng Sri Lathifah Zulfa; Novita Siti Julaeha; Mina Ismu Rahayu; Yus Jayusman
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 14 No 1 (2025): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v14.i1.182

Abstract

Traffic congestion in urban areas such as Bandung has become a critical issue that demands intelligent and efficient solutions. This study proposes an image-based vehicle density detection system for four-wheeled vehicles using a region-based approach combined with the Euclidean Distance algorithm. Traffic images are analyzed to calculate inter-vehicle distances based on centroid points, and the results are used to classify traffic conditions into three categories: free-flowing, moderate, and congested. The system is developed using the Python programming language and the Streamlit web interface. Functional testing is conducted using the Black Box Testing method. Experimental results demonstrate that the system can automatically and reliably detect and classify traffic density in real time, offering a practical solution to support urban traffic management.
Penerapan Metode TOPSIS dalam Sistem Informasi Pengaduan Keresahan dan Kejahatan Lingkungan Bagi Masyarakat Berbasis Web (Studi Kasus: Kecamatan Ujungberung) Neng Sri Lathifah Zulfa; Venny Aknestasya Alvianti; Dayanni Vera Versanika
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 14 No 2 (2025): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v14.i2.194

Abstract

Environmental conditions significantly affect community welfare and quality of life, making public participation in reporting environmental concerns and crimes essential. However, manual and unstructured reporting mechanisms often hinder timely and effective responses from authorities. This study aims to design and implement a web-based information system for environmental complaint management by integrating the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is applied to determine complaint handling priorities based on multiple criteria, including urgency, impact, frequency, and responsibility, using Euclidean distance calculations to positive and negative ideal solutions. The system is developed using the Laravel framework and MySQL database, and provides features such as user registration, complaint submission, status tracking, and complaint history. The results indicate that the proposed system effectively supports local authorities in objectively and systematically prioritizing complaint handling, while also improving efficiency, transparency, and responsiveness in environmental complaint management at the district level.
Co-Authors Ade Mela Ades Putri Awaliah Ahmad Ahmad Ajeng Tresnawati Ali Rohman Amirudin Ana Hadiana Cecep Abdul Cholik Cecep Abdul Cholik Chanda Hardian Dayanni Vera Versanika Dini Hasanul Awaliyah Ervan Nurahman Faisal Luthfi Arrasbi Fanji Fakhru Zaman Hanifa Amalia Hernawati Hernawati Husnul Khotimah Iffah Athifah Lia Aulia Bahriatul Mila Hikmatun Nasihah Novita Siti Julaeha Nur Anas Alhadid Nurohman Nurohman putri almadina, delisha octaviani Rahayu, Mina Ismu Re za Indriana Reni Nuraeni, Reni reza rizki saputra Rizal Muhaimin Rosy Asfihani Siti Maesa Ulfa Venny Aknestasya Alvianti Windi Nurkholifah Yus Jayusman