Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Belantika Pendidikan
Kumalasari, Ira
Unknown Affiliation
Computer Science & IT Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Penggunaan Algoritma First In First Out dalam Antrian Pembimbingan Mahasiswa Kumalasari, Ira; Lestari, Dyah; Alqodri, Febrianto
Belantika Pendidikan Vol 7, No 2 (2024)
Publisher : Kayon Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47213/bp.v7i2.376

Abstract

Abstract: The student advising application that utilizes the First In First Out (FIFO) algorithm has been successfully integrated with the Thesis and Final Project Information System (SISINTA) and the Administrative Information System (SIADMIN). This application manages the advising process by following the laboratory room scheduling workflow, starting with schedule input by the room staff, time plotting by the faculty, and student reservations. The FIFO algorithm ensures a fair and transparent advising order. The waterfall development method includes requirements analysis, design, implementation, and testing. The application supports reservation, verification, monitoring, and scheduling features, and operates 100 percent as expected, enhancing efficiency and transparency. Abstrak: Aplikasi pembimbingan mahasiswa yang menggunakan algoritma First In First Out (FIFO) telah berhasil terintegrasi dengan Sistem Informasi Skripsi dan Tugas Akhir (SISINTA) serta Sistem Informasi Administrasi (SIADMIN). Aplikasi ini mengelola proses bimbingan dengan mengikuti alur penjadwalan ruang laboratorium yang dimulai dari input jadwal oleh petugas ruangan, plotting waktu oleh dosen, hingga reservasi oleh mahasiswa. Algoritma FIFO memastikan urutan bimbingan yang adil dan transparan. Metode pengembangan waterfall yang digunakan meliputi analisis kebutuhan, desain, implementasi, dan pengujian. Aplikasi ini mendukung fitur reservasi, verifikasi, monitoring, dan penjadwalan, serta berfungsi 100 persen sesuai harapan, meningkatkan efisiensi dan transparansi.
Optimizing Cleaning Path for Coal Dust Removal Using Dual Stage Tracking Method Kumalasari, Ira; Ar Rosyid, Harits; Sendari , Siti; Mokhtar , Norrima Binti; Setumin , Samsul
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 4 (2024): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i4.29806

Abstract

Manual disaster mitigation at the Java Bali power plant, particularly related to fire risks from coal dust during electricity production, often requires halting operations, leading to significant revenue loss and power outages. This study aims to address this issue by proposing an automated solution to clean coal dust without interrupting production, utilizing a dual-stage tracking method for robot-assisted coal dust cleaning. The research contributes by developing a dual-stage A* algorithm that optimizes robot movements for cleaning tasks in power plant environments, outperforming single-stage BFS and single-stage A* algorithms. The research is divided into two phases: object detection and robot motion path selection. The dual-stage A* algorithm is compared against single-stage BFS and single-stage A* methods through a series of experiments evaluating their efficiency and effectiveness. The dual-stage A* method demonstrates superior performance in terms of path optimization, reducing cleaning time, and improving operational safety. Specifically, the dual-stage A* algorithm reduces energy consumption by 169 units and grid traversal by 84 units compared to single-stage methods, ensuring thorough dust removal while minimizing fire hazards. The dual-stage A* algorithm proves to be the optimal solution for coal dust cleaning in power plants, allowing for safe, continuous operation without the need for production halts. Future work should focus on addressing implementation costs and technical constraints to enhance real-world applicability.
Co-Authors Alqodri, Febrianto Dyah Lestari Harits Ar Rosyid Mokhtar , Norrima Binti Setumin , Samsul Siti Sendari