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Elkom: Jurnal Elektronika dan Komputer
Published by Universitas Sains Dan Teknologi Komputer
ISSN : 19070012     EISSN : 27145417     DOI : https://doi.org/10.51903/elkom.v14i1
Core Subject : Education,
Education
Elkom : Jurnal Elektronika dan Komputer merupakan Jurnal yang diterbitkan oleh SEKOLAH TINGGI ELEKTRONIKA DAN KOMPUTER (STEKOM). Jurnal ini terbit 2 kali dalam setahun yaitu pada bulan Juli dan Desember. Misi dari Jurnal ELKOM adalah untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil penelitian mengenai Ilmu bidang informatika, sebagai media bagi para dosen, guru, peneliti dan para praktisi dalam bidang teknologi informasi dari seluruh Indonesia, dalam melakukan pertukaran informasi tentang hasil-hasil penelitian terbaru yang telah dilakukan.
Arjuna Subject : -
Articles 665 Documents
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Rancang Bangun Sistem Informasi Manajemen Jadwal Konsultasi Guru Bimbingan Dan Konseling Berbasis Web Muh Ade Kurniawan; Raihan Alfarizi; Jhon Brian Tua; Army Trilidia Devega
Elkom: Jurnal Elektronika dan Komputer Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v19i1.4026

Abstract

Guidance and Counseling (BK) services play a vital role in supporting students' academic, personal, social, and career development. However, at MA Darul Ihsan, scheduling counseling sessions is still done manually using logbooks, leading to time inefficiencies, difficulties in checking teacher availability, risks of data loss, and compromised student privacy. This research aims to design and implement a web-based information system for managing counseling schedules; this system enables students to submit and track requests online while assisting counselors and administrators in managing schedules, topics, and session approvals. The system was developed using the Waterfall methodology incorporating UML and ERD modelingand implemented using PHP, HTML, and MySQL. Key features include user login, schedule viewing, topic submission, and status tracking for students, alongside schedule and data management for administrators. Black-box testing confirmed that all primary features function as intended. The system is expected to make the scheduling process faster, more transparent, and more accessible than manual methods, although further development such as notification features and mobile accessibility support is still required.
Analisis Komparatif Efisiensi Algoritma CPU Scheduling (FCFS, Round Robin, dan Priority) Berbasis Simulasi pada Lingkungan OS Simulator Wildan Abu Bakar Sidiq; Eksa Umar Gani; Djuniadi; Alfian Ardhiansyah
Elkom: Jurnal Elektronika dan Komputer Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v19i1.3403

Abstract

Penjadwalan CPU merupakan komponen krusial dalam sistem operasi modern untuk memastikan alokasi sumber daya komputasi yang efisien. Penelitian ini bertujuan untuk menganalisis dan membandingkan efisiensi kinerja tiga algoritma penjadwalan utama, yaitu First-Come First-Served (FCFS), Round Robin (RR) dengan time quantum 2 ms, dan Priority Scheduling (Non-Preemptive). Metode yang diterapkan adalah eksperimen berbasis simulasi menggunakan OS Simulator visual dengan dataset standar yang terdiri dari lima proses dengan variasi waktu kedatangan dan durasi eksekusi (burst time). Kinerja algoritma dievaluasi berdasarkan dua parameter utama: Average Waiting Time (AWT) dan Average Turnaround Time (ATAT). Hasil simulasi menunjukkan fenomena di mana FCFS dan Round Robin menghasilkan rata-rata waktu tunggu yang identik sebesar 7.8 ms, sedangkan Priority Scheduling mencatat kinerja terburuk dengan AWT 9.2 ms akibat terjadinya masalah starvation pada proses berprioritas rendah. Kesimpulannya, meskipun FCFS efisien untuk beban kerja sederhana, Round Robin terbukti lebih unggul dalam aspek keadilan distribusi waktu pemrosesan. Sebaliknya, penggunaan Priority Scheduling statis tidak disarankan tanpa penerapan mekanisme aging. Temuan ini memberikan validasi empiris bagi pengembang sistem dalam memilih strategi penjadwalan yang tepat sesuai karakteristik beban kerja.
Sistem Monitoring Tanaman Hias Kaktus Berbasis Iot Menggunakan Arduino (Studi Kasus Di Toko Tanaman Hias Bahril Farm): (Studi Kasus Di Toko Tanaman Hias Bahril Farm) Firdaus Febriansyah; Iman Saufik Suasana; Jarot Dian Susatyono
Elkom: Jurnal Elektronika dan Komputer Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v19i1.3637

Abstract

This study aims to develop an Internet of Things (IoT)-based monitoring and automatic watering system for cactus ornamental plants to improve accuracy and efficiency in plant care. The problem addressed is the conventional watering method that relies on time intervals without considering actual soil moisture conditions, which may lead to overwatering or underwatering. The research method used is Research and Development (R&D), involving system design, implementation, and testing. The system integrates Arduino Uno as a microcontroller, soil moisture sensor to detect soil humidity, DHT11 sensor to measure temperature and air humidity, and Wemos D1 Mini for internet connectivity. Data from sensors are processed and transmitted to a Firebase real-time database, then displayed on a web interface for remote monitoring and control. The system is designed to automatically activate the water pump when soil moisture is below a predefined threshold and deactivate it when optimal conditions are reached. The results show that the system can monitor environmental parameters in real-time, provide stable sensor readings, and control irrigation effectively. The developed system improves watering efficiency, reduces human error, and ensures optimal growing conditions for cactus plants.
Sistem Keamanan Pintu Cerdas Berbasis Rfid, Esp32-Cam, Dan Notifikasi Telegram Diva Antakarana Jwalamurti; Muhammad Rizal Dwi Supoyo; Faiz Ahmad Yudian; Naufal Rizki Ramadhani; Arief Arfriandi
Elkom: Jurnal Elektronika dan Komputer Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v19i1.3797

Abstract

The security of home access is a critical aspect of asset protection and occupant safety. Conventional security systems using physical keys have weaknesses such as potential key loss, illegal duplication, and a lack of access records. This research develops Smart Door Guardian, an intelligent door security system that integrates RFID technology, the ESP32-CAM microcontroller, a servo motor lock mechanism, a reed switch sensor, and real-time notifications via the Telegram Bot API. The system operates by reading RFID cards; if registered, the servo motor rotates to unlock the door, and the ESP32-CAM captures and sends the user's image to the administrator. Conversely, forced entry attempts are detected by the reed switch, triggering an intruder's alert and photo capture. Test results show an RFID reading accuracy of 98.7%, an average photo notification speed of 2.3 seconds, and a 100% detection accuracy for forced entry at a 5 mm gap. This system provides an effective, low-cost IoT solution for room security.
Sistem Inspeksi Visual Berbasis Web-camera Menggunakan YOLO untuk Deteksi Real-time Spaghetti defect   pada 3D Printing FDM I Gusti Agung Made Yoga Mahaputra; Putri Alit Widyastuti Santiary; I Ketut Swardika
Elkom: Jurnal Elektronika dan Komputer Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v19i1.3976

Abstract

Print failure remains a major challenge in fused deposition modeling (FDM) 3D printing because it may lead to material waste, production delays, and potential damage to printer components. One frequent failure mode is the spaghetti defect  , in which extruded filament forms irregular strands due to poor bed adhesion, object displacement, or extrusion outside the intended printing path. This study develops a low-cost visual inspection system based on a web-camera and Raspberry Pi for real-time detection of spaghetti defect   using a YOLO object detection model. The proposed system captures visual data from the printing area, processes image frames locally on the edge device, and displays the detected defect  location using a bounding box, class label, and confidence score. The dataset consisted of 100 images, including 50 normal printing images and 50 spaghetti defect   images, divided into training, validation, and testing sets using a 70:20:10 ratio. Defect  images were annotated using bounding boxes to enable location-based defect  detection. The evaluation results show that the model achieved a precision of 91.30%, recall of 88.24%, F1-score of 89.74%, mAP@0.5 of 92.10%, and mAP@0.5:0.95 of 87.30%. Real-time testing also demonstrated that the system could detect spaghetti defect   with confidence scores ranging from 0.87 to 0.90. These results indicate that the integration of a web-camera, Raspberry Pi, and YOLO has potential as an economical and portable early monitoring system for FDM 3D printing failures. 

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