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Journal : j-com journal of computer

 1 
Mengukur Kinerja Juru Parkir Di Asahan Dengan Bantuan Machine Learning Method K-Nearest Neighbor Ningsih, Septia; Nasution, Akmal; Santoso
J-Com (Journal of Computer) Vol. 5 No. 3 (2025): NOVEMBER 2025
Publisher : STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/j-com.v5i3.4279

Abstract

Abstract: Information Technology (IT) has played a crucial role in various sectors, including the transportation sector, as seen in the Department of Transportation of Asahan Regency, North Sumatra. One of the challenges in this area is the performance of parking attendants, which affects the effectiveness of parking management and traffic safety. Poor performance of parking attendants can cause various issues, including traffic congestion, rule violations, and user discomfort. Therefore, evaluating the performance of parking attendants is essential to improve service quality and parking safety. In this context, the implementation of a technology-based information system is an appropriate solution to enhance the effectiveness of the performance evaluation process for parking attendants. Classification methods, such as k-nearest neighbor (KNN), are used to evaluate the performance of parking attendants more accurately and efficiently. This method allows early detection of poor performance, such as fraud or traffic rule violations, and provides feedback for improvements. The primary goal is to measure effectiveness, identify areas for improvement, and recognize parking attendants with good performance. Keywords: Information Technology, Parking Attendants, Performance Evaluation, KNN, Asahan Regency. Abstrak: Teknologi Informasi (TI) telah memainkan peran penting dalam berbagai sektor, termasuk sektor transportasi, seperti yang terlihat pada Dinas Perhubungan Kabupaten Asahan, Sumatera Utara. Salah satu tantangan di wilayah ini adalah kinerja juru parkir yang mempengaruhi efektivitas pengelolaan parkir dan keselamatan lalu lintas. Kinerja juru parkir yang kurang optimal dapat menimbulkan berbagai masalah, termasuk kemacetan, pelanggaran aturan, dan ketidaknyamanan pengguna parkir. Oleh karena itu, penilaian kinerja juru parkir menjadi sangat penting untuk meningkatkan kualitas layanan dan keamanan parkir. Dalam konteks ini, penerapan sistem informasi berbasis teknologi menjadi solusi yang tepat untuk meningkatkan efektivitas proses penilaian kinerja juru parkir. Metode klasifikasi, seperti k-nearest neighbor (KNN), digunakan untuk mengevaluasi kinerja juru parkir dengan lebih akurat dan efisien. Metode ini memungkinkan deteksi dini terhadap kinerja buruk, seperti penipuan atau pelanggaran aturan lalu lintas, serta memberikan umpan balik untuk perbaikan. Tujuan utamanya adalah mengukur efektivitas, mengidentifikasi area perbaikan, dan memberikan apresiasi bagi juru parkir yang memiliki kinerja baik. Kata Kunci: Teknologi Informasi, Juru Parkir, Penilaian Kinerja, KNN, Kabupaten Asahan.
Co-Authors Abe Wisnu Syaputra Adi Asmara Adinda S., Kasih Agoeng Noegroho, Agoeng Agus Haryanto Widagdo AGUS SETIAWAN Ahmad Fanani ahmad habibi Ahmad Hilal Madjdi Ahmad Syukur Aisyul Hana, Ubaid Akbar Anugrah Alim, Nur Ambrosius Heri Krismawanto Aminuddin, Fattachul Huda Anggraini Aprilia, Endah Aris Heri Andriawan, Aris Heri Asril Bagono, Bambang Judi Chyntia Dewi, Laksmi Denni Agung Santoso Desy Asyati Dewi Lestari Dewi, Atika Djauhari, Teuku Doni Winarso, Doni Dwi Widiarsih Dzikrulloh, Mohammad Hilfi Azra Eka Zuliana Ellen Angelina Eltanina Ulfameytalia Dewi Emawati Erna Wahyu Wardani Farhan Pramudia Faturrochman, Muhammad Reza Febriyanto Gregorius Daru Wijoyoko Guntara, Iqbal Gustinar Hadi, M.Fikry Hariz, Muhammad Amsyaril hartayu, ratna Hati, Deviana Intan Gadys Permata Hendri sayuti Hetty Rohayani Hidayati, Isnah Husna, Avida Nailil I Gede WD Permadi Ichan Prastika, Ichan Ifada, Erika Nurul Imti Tsalil Amri Indrawan, Andi Steven Irianto Istiqomah Izzah Aula Wardah Jani Master, Jani Kalista Islami Putri Kamali Zaman Kiki Fitriza Milda Kristomi Kukuh Setyadjit Kukuh Setyadjit, Kukuh Kusuma, Chandra Lutfi Agung Swarga Lu’luul Maknun Mamik MARIA BINTANG Marini Masgo Mastuki Mastuki Mizan Asnawi Mizan Asnawi, Mizan Moh Ridlo Mufatikhah, Nurul Muhammad Hidayat Muhammad Umar Riandi Muhammad Yunus Muhammad, Reyhan Ihsan Murtono Mutrofin Nasution, Akmal Nehe, Restuman Neng Murialti, Neng Ningsih, Septia Noor Aisyah Nugroho, Aryanto Dwi Nungki Hapsari Suryaningtyas, Nungki Hapsari Nurdiansyah Saputra Nurwijayanti Pariyanto Pariyanto, Pariyanto Pratiwi , Ika Ari Puji Slamet, Puji Purwoko Putri Yourdamarta Adinda Meychilla Permatasary Putri, Fatikhah Aprilia R.Septian Armel Rahayu Hasti Komaria Rahayu, Endang Purnawati Rahayu, Woro Isti Rahman Irpan Pahlepi Rakasona Ranti Darwin, Ranti Reza Sarwo Widagdo Ridho'i, Ahmad Rifqi Fathurrohman Rista Islamarida Riza, Noviana Rosyidah Sabella, Billy Saidul Amin Saparso Sari, Nimas Wulan Sayyidati, Rabini Sekar Dwi Ardianti Shinta Tiara Rizki Shinta, Shinta Tiara Rizki Shofa, Iramaya Siti Musyarofah Nur Halimah Siti Zulifah Soegeng Wahyoedi Sri Ariyanti Sri Kundarsih Sri Mulyani Sri Utaminingsih Sumianto Surtikanti Su’ad Tigas Tri Kurniawan Tomi Hidayat Tri Puput Syariati Tri Wahyuni Vivin Mahdalena W, Izzah Aula Wawan Shokib Rondli Wisnu Widjanarko Wiwik Novianti Wiwit Sugiarti Yulian Taviv Yunita Prastyaningsih