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Jurnal Media Teknik Elektro dan Komputer
Published by Yayasan Pendidikan Al-Yasiriyah Bersaudara
ISSN : -     EISSN : 30632927     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Jurnal Metrokom : Media Teknik Elektro dan Komputer diterbitkan oleh Yayasan Pendidikan Al-Yasiriyah Bersaudara. Diterbitkan setiap bulan Januari - Juni, Juli - Desember. Jurnal ini fokus pada Teknik Elektro dan Komputer yang cakupannya diuraikan sebagai berikut : Algoritma Genetika Analisis Numerik Antena dan Propagasi Gelombang Aplikasi Bioinformatika/Biomedis Aplikasi Mobile Aplikasi Web Digital dan Analog Desain sirkuit Distribusi Daya Elektromagnetika Elektronika Daya Elektronika Sensor Sistem Energi Terbarukan Grafika Komputer Ilmu Komputer dan Komputasi Matematis Instrumentasi dan Material Interaksi Manusia Komputer Internet of Things Jaringan dan sistem Telekomunikasi Jaringan Komputer Jaringan Komputer dan Komunikasi Jaringan Sensor Cerdas Jaringan Sensor Nirkabel Keamanan Data dan Dunia Maya Keamanan Informasi Keamanan Jaringan Komputer Keamanan Nirkabel Kecerdasan Buatan Komputasi Awan Komputasi dan Implementasi Algoritma Komputasi Logika Komputasi Mobile Komputasi Paralel/Distribusi Komunikasi dan Jaringan Data Komunikasi dan Jaringan Optik Komunikasi dan Jaringan Seluler Komunikasi Nirkabel dan seluler Komunikasi Satelit Kontrol Daya Kontrol Teori Konversi Daya Kriptografi Kualitas layanan Telekomunikasi Manajemen Energi Manajemen Teknologi Informasi Material kelistrikan Media, Game dan Teknologi Mobile Metode Efisiensi Energi Mikroelektronika dan Nanoteknologi Optimalisasi Diskrit Organisasi dan Arsitektur Komputer Pembangkit Tenaga Listrik Pembelajaran Mesin Pemrograman Linier dan non-linier Pemrosesan Bahasa Alami Pemrosesan Gambar dan Pengenalan Pola Penambangan Data Pengambilan Informasi Pengembangan Layanan Telekomunikasi Pengembangan Perangkat Lunak Penginderaan Jauh Pengkodean jaringan nirkabel Pengolahan Data Pengolahan Sinyal Pengukuran Kelistrikan Perangkat Cerdas Realita Virtual Rekayasa Perangkat Lunak Sistem Basis Data Sistem Kontrol Sistem Operasi Sistem Pakar Sistem pemosisian nirkabel Sistem Pengambilan Keputusan Sistem Proteksi Sistem Robotika Sistem Tertanam Sistem Transportasi Cerdas Standar Komunikasi dan Jaringan Teknik Biomedis Teknologi Multimedia Telepon dan Sinyal Suara Tenaga Listrik dan Energi Teori Algoritma Teori Fuzzy dengan Aplikasi Teori Koding Teori Komputasi Serta berbagai bidang elektro dan komputer relevan yang belum tercantum
Arjuna Subject : Ilmu Komputer (semua kategori) - Jaringan Komputer dan Komunikasi
Articles 22 Documents
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Sistem Permohonan Cuti Karyawan untuk Kantor DPRD Provinsi Sumatera Utara Tumanggor, Ahmad AlfanSori; Aulia, Nurul
Jurnal Media Teknik Elektro dan Komputer Vol 2 No 1 (2025): Metrokom : Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65371/metrokom.v2i1.115

Abstract

This research focuses on designing a web-based employee leave application system for the Wasbang Room at the North Sumatra Provincial DPRD Office. The goal is to develop a system that improves the efficiency of managing leave requests by simplifying the application process, accelerating data processing, providing transparent access to leave balances, and generating reports more effectively for leadership through centralized database storage. The system design is modeled using Unified Modeling Language (UML), specifically use case diagram, to illustrate system functionality and user interactions. The web-based platform allows access for employees, supervisors, and administrators with role-based access control. System functionality is tested using the black box testing method, focusing on core features such as login, employee data input, leave submission, leave approval, administrative data management, and leave history tracking. Test results confirm that all features operate according to the expected scenarios and that the system provides appropriate validation feedback for invalid inputs. This system has proven to enhance the speed and accuracy of the leave approval process, reduce the risk of manual data loss, and improve the accountability of personnel records. The novelty of this research lies in its integrated design approach, which incorporates organizational authorization flows and traceable leave documentation accessible by administrators. Overall, this study demonstrates the value of web-based information systems in optimizing administrative processes. The proposed solution is functional, user-friendly, and adaptable to other organizations with similar administrative needs. It is expected to support data-driven managerial decision-making and accelerate the digital transformation of personnel systems.
Implementasi Algoritma Mesin Vektor Dukungan untuk Klasifikasi Hari Sibuk di Bengkel Motor Manggala Alfarizi, Abdilah
Jurnal Media Teknik Elektro dan Komputer Vol 2 No 2 (2025): Jurnal Media Teknik Elektro dan Komputer
Publisher : Yayasan Pendidikan Al-Yasiriyah Bersaudara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65371/metrokom.v2i2.119

Abstract

This study addresses the problem of unpredictable customer surges at Manggala Motor Workshop, which often lead to long queues, inefficient resource allocation, and reduced service quality. To overcome this problem, the Support Vector Machine (SVM) algorithm was applied to classify workdays into two categories: busy and not busy. The dataset consisted of 400 simulated data points designed to represent real workshop operational conditions by incorporating attributes such as day, weather, promotions, holidays, number of bookings, and number of vehicles. The data acquisition process was carried out through simulation based on average service capacity and external factors that typically influence customer arrivals. Before modeling, preprocessing steps were performed, including one-hot encoding for categorical features and normalization for numerical features. The dataset was then split into 80% training data (320 entries) and 20% test data (80 entries). Using a linear kernel, the SVM model was implemented in Google Colab with the Scikit-learn library. The results showed an accuracy of 96.25%, with high precision and recall scores in both classes. These findings indicate that SVM is effective for binary classification of busy and non-busy days, enabling Manggala Motor Workshop to optimize technician scheduling, manage workloads, and allocate resources more efficiently, thereby improving service quality and customer satisfaction.

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