https://ejournal-rmg.org/index.php/JETI/issue/feed 2026-03-20T17:03:43+00:00 Open Journal Systems <p>Journal Of Engineering And Technology Innovation( JETI ) is a scientific publication periodically to accommodate the research for lecturers who want to publish the results of scientific work in the form of literature, research, and technological development as a form of application of methods, algorithms, or framework that includes a variety of topics related to engineering studies, science or other topics related to the field of engineering.<br /><br /><strong>E-ISSN : 2828-1209<br />P-ISSN : 2828-1462<br /></strong></p> https://ejournal-rmg.org/index.php/JETI/article/view/586 2026-02-25T04:57:31+00:00 Willy Rizki Perdana willy@uis.ac.id David Saro davidsaro@uis.ac.id Revi Ilya Badri revi@uis.ac.id

<p>Pengelolaan arsip data yang masih dilakukan secara manual atau tidak terintegrasi dapat menimbulkan berbagai permasalahan, seperti keterlambatan pencarian dokumen, duplikasi data, dan rendahnya efisiensi kerja. Penelitian ini bertujuan untuk merancang dan membangun dashboard manajemen arsip data berbasis web menggunakan metode Extreme Programming (XP) dengan studi kasus pada PT X. Metode XP dipilih karena menekankan pengembangan iteratif, kolaborasi dengan pengguna, serta kemampuan beradaptasi terhadap perubahan kebutuhan sistem. Pengembangan sistem dilakukan melalui beberapa iterasi yang mencakup analisis kebutuhan, perancangan, implementasi, dan pengujian fungsional. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mengelola arsip data secara terpusat, menyediakan fitur pencarian dan pelaporan, serta menampilkan informasi arsip secara real-time melalui dashboard visual. Pengujian fungsional menunjukkan seluruh modul sistem berjalan sesuai dengan kebutuhan pengguna tanpa kesalahan fungsional yang signifikan. Selain itu, hasil evaluasi dan umpan balik pengguna menunjukkan tingkat penerimaan yang tinggi, di mana sistem dinilai mudah digunakan dan mampu meningkatkan efisiensi pengelolaan arsip dibandingkan metode manual sebelumnya. Dengan demikian, sistem yang dikembangkan layak digunakan sebagai solusi manajemen arsip data dan menunjukkan efektivitas penerapan metode Extreme Programming dalam pengembangan sistem informasi berbasis web.</p>

2026-02-25T00:00:00+00:00 Copyright (c) 2026 Willy Rizki Perdana, David Saro, Revi Ilya Badri https://ejournal-rmg.org/index.php/JETI/article/view/598 2026-03-20T17:03:43+00:00 Halim Mudia halim@pnp.ac.id Apriska Prameswari apriska@pnp.ac.id Audy Audy alynur9@gmail.com David Eka Putra davids@gmail.com Firdaus Firdaus firdaus@gmail.com

<p><em>DC motors are common in industry due to their simplicity, reliability, and ease of control. However, their speed regulation is sensitive to parameter changes and load disturbances. Variations in parameters like damping coefficients, caused by friction, temperature, and wear, can impair fixed-gain PID controllers. This paper introduces an adaptive fuzzy-PID auto-tuning (AFPAT) scheme to ensure robust speed control amid uncertainties and load disturbances. The controller uses a Sugeno fuzzy system to adjust PID gains online based on speed error (e) and derivative error (de). A second-order DC motor model assesses robustness by varying damping coefficients across five scenarios (4.54 ≤ a1 ≤ 13.62) and a 50 rpm load disturbance at 900 rpm setpoint. Performance measures include steady-state error, overshoot, settling time, and recovery time post-disturbance. Results show the controller achieves zero steady-state error and overshoot with settling times from 2.74 to 4.28 seconds and recovery times from 3.05 to 4.58 seconds. Compared to open-loop, with a steady-state error of 2963, the controller demonstrates robust speed regulation under parameter variations and disturbances.</em></p> <p><em>&nbsp;</em></p>

2026-02-21T00:00:00+00:00 Copyright (c) 2026 Halim Mudia